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. 2025 Aug 11;28(3):561–577. doi: 10.1111/plb.70080

Impact of emerging compound droughts on forests: A water supply and demand perspective

C Werner 1,, M Bahn 2, T E E Grams 3, C Grossiord 4,5, S Haberstroh 1, G Lenczner 6, D Tuia 6, H Vallicrosa 4,5
PMCID: PMC13089608  PMID: 40790904

Abstract

The intensification of climate change‐induced drought results in unprecedented tree and forest die‐offs worldwide, increasingly driven by compound droughts. In this review, we examine the impacts of emerging compound droughts, which involve co‐occurring stressors like soil drought and high temperature, along with elevated vapour pressure deficit over prolonged periods and at higher frequency. We explore the physiological and ecological mechanisms underlying tree water and carbon regulation during these extreme conditions, focusing on the balance between water demand and supply, the role of acclimation, and its consequences for ecosystem‐level functions. By examining the mechanisms at play from the organ to the ecosystem‐scale, we provide a comprehensive understanding of how trees and forests are likely to respond to an increasingly unpredictable climate with a higher likelihood of compound droughts.

Keywords: compound droughts, ecophysiological regulation, forest, hydraulic regulation


This review examines the physiological and ecological responses of trees to emerging compound droughts from a water demand and supply perspective, as well as the role of acclimation and consequences for ecosystem‐level functions.

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Introduction

The impacts of climate change‐induced drought are intensifying across ecosystems worldwide, resulting in unprecedented die‐offs of trees and entire forests (Anderegg et al2013c; Allen et al2015; Hartmann et al2022). This trend is fuelled not only by more frequent and severe droughts, but also by an increase in compound climatic events comprising several stressors, whose occurrence is likely to accelerate in the future (e.g. Bevacqua et al2022).

‘Compound droughts’ refers to exceptional drought conditions characterized by co‐occurring stressors (i.e. air and soil dryness, together with extreme heat), increased intensity (i.e. drier and hotter conditions), extended duration and/or higher frequency (Hao et al2022), setting them apart from historical patterns, therefore making them even harder to predict or manage. Key factors include the co‐occurrence of soil drought (driven by a lack of precipitation) alongside excessively high air temperatures (Zscheischler & Seneviratne 2017; Seneviratne et al2021; Hammond et al2022), and a rise in evaporative demand, driven by higher vapour pressure deficit (VPD) (Grossiord et al2020; McDowell et al2022; Novick et al2024). Emerging compound droughts disrupt ecosystems even when the amount of annual rainfall does not change, as rainfall patterns shift towards more intense but infrequent events, creating longer and repeated dry periods, with significant ecological impacts (Feldman et al2024).

During compound droughts, heightened VPD intensifies drought stress on vegetation by accelerating soil moisture loss and plant water demand (Penman 1948; Massmann et al2019), creating a new form of atmospheric drought, which often coincides with soil droughts, but can also precede soil drying. Furthermore, elevated air temperatures accelerate the heating of vegetation surfaces, particularly if coupled with low soil moisture (e.g. Still et al2023; Gauthey et al2024), which may approach critical limits for key physiological processes (O'Sullivan et al2017). For example, compound droughts have been identified to explain 46% of tree mortality across Europe (Gazol & Camarero 2022).

As the frequency and recurrence of compound droughts have increased globally (Seneviratne et al2021; Hao et al. 2022; Calvin et al2023), ecosystem recovery times from extreme events have also increased (Schwalm et al2017; Zhang et al2021), potentially preventing full recovery before the following extreme event occurs (Schwalm et al2017; Seneviratne & Ciais 2017). This can ultimately lead to severe drought legacy effects, which can alter ecosystem responses to subsequent drought. These legacy effects can be both negative (e.g. retarded recovery) and positive (e.g. through acclimation responses), thereby affecting tree and ecosystem responses to recurrent droughts (Müller & Bahn 2022). Thus, the frequency and recurrence of compound droughts add an additional dimension of impact, potentially affecting ecosystem resilience.

Trees manage water fluxes across the entire soil–plant–atmosphere continuum, finely tuning their physiological responses to balance the supply and demand of water. In this context, we define plant water demand as the amount of water needed for sustaining physiological processes, such as transpiration, CO2 uptake, and growth. In contrast, water supply refers to the availability of water in the plant's surrounding environment. The balance between the water demand and supply determines the plant water status. Hydraulic capacitance, i.e. water that can be released from storage tissues such as tree trunks (Goldstein et al1998; Meinzer et al2008; Jupa et al2016), can further help to buffer the diurnal and seasonal balance of water supply and demand. This coordination is crucial, as it enables trees to cope with fluctuations in soil water availability and atmospheric conditions to avoid critical thresholds of non‐return. Examining how trees manage these interconnected constraints provides new insights into their resilience mechanisms under extreme conditions, helping us to better predict ecosystem responses to compound drought events, and potentially informing adaptive forest management practices to mitigate drought impacts in a warming world.

In the following, we will present a holistic overview of the evidence pertaining to emerging compound droughts (Section 2), and discuss their impact on the organ, whole tree, and ecosystem scale from a water demand (Section 3) and supply (Section 4) perspective, including the potential mitigating role of acclimation to these conditions (Section 5), and its feedback to ecosystem‐scale processes (Section 6).

We will not focus on the mechanisms that induce tree mortality, as these have been covered extensively elsewhere (Allen et al2015; Anderegg et al2013b; Hartmann et al2022; McDowell et al2022; McDowell & Allen 2015).

EMERGING EVIDENCE OF COMPOUND DROUGHTS

Globally, a significant and consistent increase in maximum air temperature (T max), maximum vapour pressure deficit (VPDmax), and drought severity, as depicted by decreasing minimum annual Standardized Precipitation Evapotranspiration Index, calculated over a time span of 6 months (SPEI6min), has been observed between 1961 and 2022 (Fig. 1A–C). These trends are strongly reflected in major global biomes, including the temperate zone, the Mediterranean, and deserts and xeric shrublands (Fig. 1D–I). The latter two areas experienced a particularly strong increase in drought severity compared to global patterns (Fig. 1F). In boreal, tropical and subtropical zones, only T max and VPDmax increased significantly, while no clear trend was evident in terms of drought severity. These patterns align with other studies reporting increasing global atmospheric aridity (Yuan et al2019; Fang et al2022) and a rise in the number, days and intensity of heatwaves (Dunn et al. 2024a), with negative impacts on vegetation greenness, gross primary and net ecosystem productivity (Yuan et al2019; He et al2022). In contrast, previously reported global trends in SPEI on a 12‐month basis were less clear and driven mainly by an increased atmospheric evaporative demand (Seneviratne et al2021; Vicente‐Serrano et al2022; Dunn et al2024a). However, some regions, such as Western and South Africa, East Asia, the Mediterranean Basin or Central Europe, also show decreasing SPEI12 and, thus, an increase in soil drought severity (Seneviratne et al2021; Dunn et al2024a). Forest ecosystems from different biomes respond to different drought periods, ranging from 12 to 14 months for semi‐arid to 3–5 months for cold and more humid sites (Vicente‐Serrano et al2014). As forests in humid temperate locations respond most strongly to a drought period of 6–8 months (Vicente‐Serrano et al2014; Haberstroh & Werner 2022), in the following, we use SPEI calculated over 6 months as the most meaningful ecological drought index for humid forests of the temperate zone.

Fig. 1.

Fig. 1

Maximum monthly air temperature (T max), maximum monthly vapour pressure deficit (VPDmax), and minimum annual standardized precipitation evapotranspiration index (SPEI6min) calculated over the time span of 6 months per year at the global scale (A–C), and for specific biomes: (D–F) Boreal and Temperate forests; (G–I) Mediterranean, Deserts and xeric shrubland, and Tropical and subtropical biomes (G–I). Data for T max and VPDmax computation were derived from the Climatic Research Unit (CRU v. 4.08; University of East Anglia) and NCAS (Harris et al2014, 2020). Data for SPEI computation was derived from the global SPEI database (v. 2.9) (Beguería et al2010a, 2014; Vicente‐Serrano et al2010a). For detailed calculations, see Appendix A.

The following patterns are clearly evident in the analysed datasets: from 1991 to 2022, 82% and 54% of all months in the Northern Hemisphere and in Europe, respectively, were hotter and drier than the long‐term average (1961–1990; Fig. 2A,C). Only 6% (Northern Hemisphere; Fig. 2A,B) and 13% (Europe; Fig. 2C,D) were colder and wetter. It is noteworthy that the strongest increase in both, VPD and drought severity occurred in the summer months (July–September; Fig. 2B,D), with a peak in August. These data underline exceptional drought and heat occurrence in recent years, especially in Central Europe (Hari et al2020; Ionita & Nagavciuc 2021; Moravec et al. 2021; Knutzen et al2025). The 2018–2022 drought in Central Europe set a new benchmark for drought duration and extent, with an air temperature anomaly of +2.8 K (Rakovec et al2022). Moreover, 2018–2022 was characterized by persistent hot droughts in Central Europe (Knutzen et al2025). This clearly indicates the increase in severity, frequency and duration of compound events in Central Europe, which are projected to increase further in the future (Bevacqua et al2022; Calvin et al2023; Luca & de Luca & Donat 2023; Rakovec et al2022; Seneviratne et al2021).

Fig. 2.

Fig. 2

Monthly (A, C) and average deviation ±1SE (B, D) of monthly mean vapour pressure deficit (ΔVPD) and monthly standardized precipitation evapotranspiration index (ΔSPEI6) for the entire Northern Hemisphere (A, B) and for Europe (C, D). Data from 1991 to 2022 are shown as deviations from the standard reference period 1961–1990. Percentages labelled cooler‐drier, cooler‐wetter, hotter‐drier and hotter‐wetter correspond to the number of months falling into each category (in comparison to the standard reference period 1961–1990). Data for VPD computation were derived from the Climatic Research Unit (CRU v. 4.08; University of East Anglia) and NCAS (Harris et al2014, 2020). Data for SPEI computation was derived from the global SPEI database (v. 2.9) (Beguería et al2010a, 2014; Vicente‐Serrano et al2010a). For detailed calculations see Appendix A2. Please note the different scales between panels.

FACTORS REGULATING WATER DEMAND AND FEEDBACK ENHANCING COMPOUND DROUGHTS AT THE LEAF‐TO‐TREE LEVEL

Compound droughts can lead to tree water demand exceeding supply, inducing reduced photosynthesis, impaired growth, leaf wilting, increased susceptibility to pests and pathogens, stomatal closure and, if prolonged, potential tissue damage, hydraulic failure, or death (e.g. Centritto et al2011; Hammond et al2022; Bastos et al2023; Laoué et al2024; Haberstroh et al2026, this issue). The tree water demand is deterimed by the transpirational area and abiotic environmental factors (e.g. temperature, light, wind, VPD) and is regulated by various internal mechanisms at the leaf‐to‐whole‐tree scale (Fig. 3).

Fig. 3.

Fig. 3

Key structural and physiological traits and processes regulating tree water fluxes along the soil–plant–atmosphere continuum and affecting water supply and demand.

The regulation of water demand starts with fine‐tuned stomatal responses to environmental drivers and enables both the optimization of carbon gain and the control of water loss (Cowan et al1977; Farquhar & Sharkey 1982; Ball et al1987). While ample water supply optimizes carbon gain, a lack of sufficient water supply to fulfil the demand induces water‐saving strategies that constrains carbon gain (Ball et al1987; Centritto et al2011; Medlyn et al2011). In such instances, stomatal closure efficiently prevents detrimental dehydration, runaway cavitation and hydraulic failure (Wolf et al2016; Anderegg et al2018b). Stomata respond to cues like irradiance, CO2 concentration, VPD, leaf water potential and hormonal as well as electrical signals (Buckley 2019). The stomatal sensitivity to environmental drivers (i.e. the relative decrease in stomatal conductance (gs) with a given driver) varies widely among species (Grossiord et al2020). Isohydric species (i.e. species that tend to close their stomata rapidly during dry periods) demonstrate stricter water loss control as soil moisture drops and VPD rises than anisohydric species (i.e. species that maintain stomata open for longer periods as the soil dries out) (Tardieu & Simonneau 1998). Trees can adapt their degree of isohydricity to prevailing environmental constraints (e.g. Feng et al2019; Haberstroh et al2022a). Typically, plants show coordination in stomatal traits across broad environmental gradients to optimize water management and carbon gain (Xie et al2022), with lower maximum gs, and morphological traits preventing water loss, including smaller and narrower stomata (leading to lower maximum gs) in drier areas compared to wetter ones, leading to higher water use efficiency (e.g. Saurer et al2014). Additionally, higher nocturnal temperatures and VPD can result in substantial nocturnal water losses (e.g. Zeppel et al2014; Resco de Dios et al2019; Chowdhury et al2022).

During the day, despite stomatal closure, higher VPD drives increased plant transpiration (Grossiord et al2020), accelerating water loss during compound droughts. Moreover, water loss continues after stomatal closure through the cuticle and incomplete stomatal closure (i.e. the minimum stomatal conductance (gmin; e.g. Duursma et al2019)) and bark transpiration (e.g. Lintunen et al2021). Hence, plants with high gmin and bark transpiration lose more water, accelerating internal water depletion and eventually leading to a loss of hydraulic conductivity, potentially inducing hydraulic failure through embolism (Brodribb et al2021; Cochard 2021; Wang et al2024). Stem capacitance and dynamic supply of sap flow from different sapwood depths (Dumberger et al2025) may help buffer this accelerated dehydration and delay leaf wilting (Schymanski et al2013). Stem water supply for transpiration differs between species but can contribute 5% to 50% of the daily water budget (Goldstein et al1998; Meinzer et al2004; Oliva Carrasco et al2015; Dietrich et al2018; Ziemińska et al2020). The tree water deficit is often measured in diurnal changes of stem swelling and shrinkage (Donfack et al2026, this issue), reflecting the water status of trees (Dietrich et al2018), and is generally enhanced under drought (Kinzinger et al2024). The fact that some tree species prioritize trunk refilling after severe droughts over transpiration may further highlight the importance of capacitance for drought survival (Kühnhammer et al2023).

Nevertheless, higher foliar temperatures accelerate plant desiccation, amplifying tree mortality during compound droughts (Cochard 2021). Indeed, as exemplified for Europe (Fig. 4), maximum canopy surface temperature has significantly increased during the last two decades. This general trend is seen throughout the continent, with northern Europe experiencing the greatest warming (e.g. Norway, Finland, Sweden, United Kingdom and Ireland). In contrast, regions with the highest canopy surface temperature today (i.e. the entire Mediterranean Basin) show little to no warming trend. Whether this trend is driven by a higher thermoregulation capacity in plants from these regions or by ongoing acclimation processes improving temperature regulation (e.g. shifts in canopy size modifying sensible heat flux; Gauthey et al2023; Muller et al2021, 2023) is unknown. Still, an overall chronic canopy temperature rise is partially due to the increased frequency of extreme events, leading to exacerbated overheating. For instance, during two recent compound events (i.e. 2003 and 2018), the maximum canopy temperature reached up to 45°C in regions rarely exposed to such extremes (e.g. central France, Germany; Fig. 4). Those high temperatures enhance the water demand while increasing the risk of approaching critical thermal limits of leaf functioning. Such high temperatures induce rapid heat‐stress damage to the photosystems, protein degradation, and irreversible leaf scorching, as already observed under recent extreme events, even in temperate forests (e.g. Miranda et al2020; Kunert et al2021; Still et al2023). Similarly, tropical forests have been predicted to approach these thermal limits under extreme heatwaves (Doughty et al2023; but see Winter 2024).

Fig. 4.

Fig. 4

Canopy surface temperature trends (from remote sensing 2001–2021 data). White regions correspond to areas without dense vegetation. (i) Linear regression fits (± SD) for the maximum monthly canopy surface temperature per year. (ii) Maximum canopy surface temperature trend per pixel at 5 km resolution. Blue colours describe negative trends and red colours describe positive trends. (iii) Average maximum canopy surface temperature, maximum canopy temperature of 2003, and maximum canopy surface temperature of 2018. 20°C is set as white on the scale bar, with blue <20°C and red >20°C.

During compound droughts, low soil moisture should induce reduced transpirational cooling despite elevated VPD, exacerbating the heat load on the leaf and thus the leaf‐to‐air VPD (e.g. Gauthey et al2024; Posch et al2024). In this context, more and more studies report ‘stomatal decoupling’, whereby high temperatures induce stomatal opening (e.g. Drake et al2018; Diao et al2024; Gauthey et al2024). The exact mechanisms triggering this response are largely unknown (Mills et al2024), and their importance for evaporative cooling remains to be tested. Furthermore, drought‐induced stomatal closure presents a challenge for controlled dissipation of absorbed solar energy in the photosystems, when the Calvin cycle is downregulated due to a lack of CO2 (Martinez‐Ferri et al2000). Although several mechanisms are in place to facilitate the controlled dissipation of excess light energy in the photosynthetic antenna, such as the xanthophyll cycle, D1‐protein turnover of photosystem II, the Mehler reaction and reactive oxygen species (ROS)‐scavenging enzymes, photoinhibition can result in further carbon losses (Werner et al2001; Hikosaka 2021) and leaf bleaching, thereby exacerbating the stress effects on plants. Moreover, elevated temperatures will favour photorespiration, and a low CO2/O2 ratio during stomatal closure will further amplify this effect. Higher temperatures can also induce the transient emission of secondary compounds, such as volatile organic compounds (VOCs), as protection against heat and excess radiation (Rennenberg et al2006; Holopainen & Gershenzon 2010; Loreto & Schnitzler 2010; Jud et al2016; Werner et al2020). For example, isoprene can act as a signalling molecule, altering gene expression and metabolomics to increase heat tolerance, for example, by stabilizing thylakoid membranes or scavenging of ROS (Velikova et al2012; Harvey et al2015; Lantz et al2019; Monson et al2021; Bergman et al2025). However, under severe heat stress, particularly when photosynthesis is strongly inhibited, the biosynthesis of VOCs, especially those produced in the chloroplast, such as isoprene, can also be significantly reduced (Loreto & Schnitzler 2010; Fares et al2011; Yáñez‐Serrano et al2019; Werner et al2020). Under prolonged hot droughts species adjust carbon allocation into VOCs (Kreuzwieser et al2021; Ladd et al2023), but it has also been shown that drought can exert an overriding effect on isoprene emission, potentially offsetting the increase in VOC emissions due to rising temperatures (Fortunati et al2008; Centritto et al2011). Higher temperatures do further enhance the volatility of VOCs from storage organs, for example, in conifers, with cascading effects on atmospheric processes due to the high reactivity of VOCs with atmospheric chemistry (Makkonen et al2012; Guenther 2013). Moreover, constitutive or induced VOC emissions have a protective function against biotic stress, as they serve as defence compounds against insects or pathogen attacks (Holopainen & Gershenzon 2010), which may increase under extreme stress. While many plant species in hot and dry climates have highly efficient protection mechanisms, it remains largely unknown to what extent species of temperate or boreal climates, which generally have a lower capacity to dissipate excess radiation, may adapt. Therefore, even before reaching critical temperature limits for plant survival, significant impacts on photosynthetic and leaf regulatory processes can be anticipated under compound droughts.

Changes in the water demand during compound droughts will also be driven by changes in evaporative surfaces (i.e. total leaf area). In particular, leaf morphological and functional traits determine drought sensitivity (Kunert et al2026, this issue; Kretz et al2026, this issue). Excess heat combined with drought often triggers leaf shedding and scorching, minimizing water loss. However, this diminishes photosynthetic capacity and growth, ultimately weakening trees and potentially increasing the risk of carbon starvation (e.g. McDowell & Sevanto 2010; McDowell et al2022). Carbon starvation and hydraulic dysfunction often co‐occur, further weakening the trees, enhancing the risk of tree mortality (Alderotti et al2024; Trueba et al2024). Early leaf shedding can be a strategy to reduce transpiration and prevent hydraulic failure (Bréda et al2006), particularly in semi‐deciduous species adapted to regular seasonal droughts (e.g. Werner et al1999). However, recent studies indicate that in temperate trees, this is more likely a direct consequence of hydraulic failure (Walthert et al2021; Arend et al2022). The higher frequency of compound droughts further reduces growth. It can alter carbon allocation, resulting in less dense canopies over time (e.g. Gauthey et al2023; Mas et al2026, this issue) with increased root/shoot ratios and, thus, shifts the supply‐to‐demand balance. These morphological responses may help trees to better withstand repeated drought and thus reduce future drought stress (Hikino et al2026, this issue; see also Section 5).

However, legacy effects resulting in retarded recovery from prior extreme events, for example, due to reduced hydraulic capacity or depleted carbon and nutrient reserves, can render trees vulnerable during recurrent droughts (Kannenberg et al2019; Oberleitner et al2022). Drought legacy is strongly modulated by the environmental conditions preceding and following severe droughts (Pohl et al2023; Heinrich et al2026, this issue; Ruehr & Nadal‐Sala 2026, this issue). While drought stress memory may enhance physiological resilience to subsequent events (Godwin & Farrona 2020), a high frequency of extreme events can weaken trees, rendering them vulnerable to storms and windthrow, pests and diseases, ultimately resulting in tree mortality (Choat et al2018; McDowell et al2022). Moreover, drought‐induced leaf shedding and increased tree mortality can result in changes in local microclimates (Anderegg et al2013b; Zellweger et al2020), leading to reduced shade and increased soil dryness, further stressing trees by creating hotter, drier conditions (see also Section 6). However, many uncertainties remain regarding the species‐specific variability in canopy shifts over time, as well as about their rates and consequences for tree water demand during compound droughts.

FACTORS REGULATING WATER SUPPLY DURING COMPOUND DROUGHTS AT TREE LEVEL

As detailed above, compound drought intensifies tree water use, thereby reducing soil water availability for the trees. At the same time, elevated temperature and VPD directly affect water supply by increasing evaporation from the soil surface, reducing soil moisture and water availability, especially when open tree canopies allow for high energy input (Anderegg et al2013b). In addition, there is emerging evidence that increasing drought frequency and intensity can significantly alter a range of ecohydrological factors relevant to plant water supply. For instance, 5 years of recurrent experimental summer drought in a beech/spruce forest resulted in increased hydrophobicity of the forest soil, with almost five times higher repellence (Grams et al2021). During subsequent slow rewetting, altered preferential water flow caused deeper soil layers to partially rewet faster than the hydrophobic topsoil. Indeed, drought history has been suggested to be more important than the actual antecedent soil moisture status regarding hydrophobicity and infiltration behaviour (Gimbel et al2016). Moreover, drought and increasing aridity typically reduce soil aggregate stability (Zhang et al2018; Berdugo et al2020) leading to a loss of macroaggregates and a significant decline in saturated hydraulic conductivity and total porosity (Zhang et al2018), and hence potential water storage. Furthermore, recurrent droughts have been found to reduce soil hydrological connectivity (Smith et al2017; Blaurock et al2021), with changes in pore size water mixing, thus decreasing plant water access and use (Radolinski et al2025). Generally, the critical threshold of water limitation in the plant–soil continuum is further shaped by soil texture through differences in soil hydraulic conductivity between sandy and fine‐textured (e.g. clay) soils, which feeds back on the plant sensitivity to VPD (Wankmüller et al2024).

Beyond soil factors, a range of plant factors determine the water supply of trees and are particularly relevant for tree resilience in the face of compound droughts. On a larger scale, subsurface hydrological processes mediate tree vulnerability to extreme climatic drought. However, the effects are highly species‐specific (McLaughlin et al2020), leading to a distinct ecohydrological niche separation among species as precipitation is decoupled from water availability (Chitra‐Tarak et al2018, 2021; Ding et al2021). Detailed model analyses suggest that, next to soil hydraulic conductivity, root distribution is key to predicting and interpreting transpiration reductions during drought (Carminati & Javaux 2020). The depth of water absorption is primarily dependent on the availability of water: as shallow soils dry out, water absorption is shifted to deeper soil layers, provided that roots are present. Indeed, trees can rapidly adjust their root water uptake depth within hours to days, even in response to a single rain event (Kinzinger et al2025). Moreover, in forest ecosystems with shallow soils overlying bedrock, rock moisture can provide a significant water reservoir for trees with deep sinker roots (Nardini et al2024). Thus, rooting depth is a key structural–morphological trait determining how quickly different trees approach hydraulic vulnerability thresholds during a drought event (Brinkmann et al2019; Kahmen et al2022). While deep taproots act as lifelines, they contribute little to total plant water uptake (Kühnhammer et al2023; Bachofen et al2024; Hackmann et al2026, this issue). However, the deeper part of the root system can have a significant impact on tree survival by increasing soil moisture in the upper layer through hydraulic redistribution (Prieto et al2012). This phenomenon is expected to increase in importance in extremely dry shallow soils under future climate conditions (Grünzweig et al2022; Hafner et al2026, this issue). It remains to be seen whether trees can increase their rooting depth under drought conditions and thus acclimate to more frequent droughts (Li et al2019; Mackay et al2020), which would also increase their ability to keep up with potentially declining groundwater levels.

Besides rooting depth, root branching patterns can also play an important role in water sourcing. Roots adapt their branching pattern to heterogeneous soil water conditions (Karlova et al2021) by linking changes in hydraulic flux with dynamic hormone redistribution (Mehra et al2022). Water uptake can also be optimized by increasing the proportion of younger roots, which are able to take up water more efficiently than older roots. Therefore, root shedding and localized formation of new roots represent an effective and flexible acclimation strategy of plants to a reduced water supply (Brunner et al2015; Nikolova et al2020; Zwetsloot & Bauerle 2021).

Mycorrhizae can also play an important role in the drought resistance and resilience of trees. While mycorrhizae increase the absorbing surface, mycorrhizal symbiosis also triggers numerous biochemical and physiological modifications in plants that enhance plant drought tolerance (Usman et al2021). Drought has been shown to increase root exudation and mycorrhizal symbiosis (Brunn et al2022; Lv et al2023). Drought resistance and resilience of tree communities depend, among others, on mycorrhizal association types (Sachsenmaier et al2024). Recently, it has also been suggested that, beyond mycorrhizal communities, the soil and even the leaf microbiome as a whole can alter drought tolerance of trees (Baldrian et al2023). There is evidence that the ectomycorrhizal fungal community composition responds to drought within a few months (Grams et al2021) and under successive summer droughts, reflecting the intensity of drought stress on the plant–soil system (Nickel et al2018; Weikl et al2023). However, the implications for water uptake and drought tolerance of trees are still unknown.

WHOLE TREE ACCLIMATION

Since compound droughts introduce compound stresses, as reduced water supply coincides with strongly increased water demand due to elevated temperatures and VPD, the extended duration of droughts may surpass the tree's ability to cope with these stressors. To persist under these conditions, trees must adjust their physiological and structural traits to avoid exacerbated drought effects, as prolonged exposure to compounding stressors can accelerate decline if recurrent droughts occur without acclimation (Fig. 5). Acclimation reflects longer‐term (weeks to decades) adjustments in plant biochemistry, physiology, or morpho‐anatomy that enhance or maintain plant ability to perform under novel environmental conditions, including developmental plasticity. As such, acclimation does not include the rapid biochemical and physiological changes triggered by sudden environmental fluctuations to prevent damage.

Fig. 5.

Fig. 5

Water flux changes (arrows) and above‐ and belowground physiological, morphological and structural changes during favourable environmental conditions and in moderate drought (left panel) and compound drought and without or with acclimation (right panel).

Acclimation to compound drought events should start at the stomatal level to allow plants to maintain optimal carbon assimilation while minimizing water loss (Marchin et al2016), thus avoiding hydrological failure. This process could occur by reducing stomatal sensitivity, increasing maximum stomatal conductance, and/or raising photosynthetic efficiency (e.g. the maximum carboxylation rate of photosynthesis and/or the maximum rate of electron transport; Centritto et al2011). Several studies have found evidence of increased stomatal sensitivity after prolonged exposure to elevated VPD, leading to increased transpiration and the maintenance of carbon assimilation (reviewed in López et al2021). In the long term, to avoid hydraulic impairments, plants would require simultaneous acclimation in hydraulic properties and access to moisture in the rooting zone (i.e. deeper root systems, altered root traits) to lessen potential damage. In contrast, soil drought acclimation tends to reduce stomatal sensitivity (e.g. Novick et al2016; Grossiord et al2018), making it unclear how combined temperature/VPD and soil droughts might alter stomatal responses in the long term.

Independent of stomatal acclimation, trees experience increasing stress during compound droughts, requiring simultaneous acclimation in the hydraulic vulnerability of conductive stem tissues (as commonly estimated with water potential inducing 50% loss of conductive surfaces, P50). Acclimation of P50 in response to soil drought has been documented in a few studies (Tomasella et al2017; Lemaire et al2021), highlighting the capacity of some species to adjust to water stress. Nevertheless, whether these shifts will be sufficient to compensate for the increase in stress levels remains unknown. Moreover, contrasting findings have also emerged, with both coniferous and broadleaf species showing little to no acclimation to changes in P50 (e.g. Limousin et al2022; Gauthey et al2024), suggesting that stem hydraulic acclimation is highly species‐ and context‐dependent. In contrast, leaf‐level hydraulic functions seem to be more plastic. Reported acclimation to elevated temperature and VPD in the presence or absence of soil drought include changes in physiological traits like reduced gmin (e.g. Duursma et al2019) or adjusted turgor loss point (e.g. Schönbeck et al2022; Weithmann et al2022), which can extend tree survival during compound droughts (Mekarni et al2024; Mas et al2024). To our knowledge, the acclimation of stem capacitance has yet to be documented, but studies comparing it across regions consistently report that trees in chronically drier and hotter climates tend to possess higher capacitance (e.g. Davey et al2023).

Moreover, compound droughts ultimately lead to an excess of excitation energy which cannot be safely dissipated in the photosystems when stomatal closure limits CO2 assimilation. Thus, acclimation of the photosynthetic reaction and metabolic processes will be decisive to withstand compound droughts (Gjindali & Johnson 2023). As pointed out above, secondary metabolites play an important acclimation role to drought, heat and excess energy, protecting photosynthetic process by counteracting ROS damage (Noctor et al2014). However, biochemical acclimation potential of different species is highly uncertain, although neglecting acclimation can result in significant errors in predicting photosynthetic performance (Fang et al2023). In this respect, volatile cues, specifically isoprene, are of particular interest as the can enhance leaf thermal tolerance of the emitting species as well as their neighbours (Singsaas, 2000). However, while isoprene emission may increase in some species and ecosystems, it is highly context‐dependent (Lantz et al2019).

Acclimation across hydraulic and physiological traits will undoubtedly shape tree resilience to future compound droughts. Yet, its effectiveness may depend even more on the capacity of structural traits to adapt to these intensifying challenges.

In general, previous work has highlighted a shift towards more conservative strategies, with reduced leaf area coupled with increased water acquisition through deeper roots, thereby supporting Darcy's law (McDowell & Allen 2015; Fig. 5). Field‐based studies with long‐term soil moisture manipulation have shown sparser canopies after prolonged drought exposure (e.g. Gauthey et al2023; Fatecha et al2024; Hesse et al2024), reflecting adjustments in leaf area and leaf‐to‐sapwood area ratio in response to soil moisture changes (e.g. Martínez‐Vilalta et al2009; Rosas et al2019; Anderegg et al2022), although only a few studies have identified the concurrent impacts of elevated temperature and VPD (e.g. Mas et al2024). A reduced leaf area lowers water demand and forces trees to rely more on sensible heat flux for cooling (e.g. Gauthey et al2023; Muller et al2023), which, together with adjustments in thermal tolerance, may help mitigate future thermal damage. Similarly, very few studies have reported evidence of acclimation of photosynthetic thermal tolerance (e.g. Zhu et al2018; Slot et al2021), with some suggesting that shifts in critical leaf temperature may be insufficient to overcome thermal stress during compound events (e.g. Kullberg & Feeley 2024). Increased investment into roots is also common, allowing deeper water extraction in long‐term soil droughts (Bachofen et al2024). However, the combined impact of high air temperature and VPD on rooting depth remains unclear. For instance, in a semi‐arid woodland exposed to chronic warming and soil drought, Grossiord et al. (2017) found that warming impairs the ability of some species to take up water from deeper water sources. Such acclimation might even be passed on to the next generation via epigenetic inheritance, as shown in a 20‐year irrigation study (Bose et al2020). Together, these physiological and morphological shifts may buffer against the cascading ecological disruptions caused by novel droughts, which would otherwise threaten ecosystem health and species interactions. Still, the time needed for such acclimation strategies to develop, and the extent of acclimation potential within and between species is largely unknown (Brodribb et al2020). Thus, whether leaf‐to‐tree level acclimation is sufficient to compensate or minimize the impacts of compound events also remains elusive.

CONSEQUENCES FOR ECOSYSTEM PROCESSES

While leaf‐to‐tree level acclimation plays a crucial role in determining individual tree survival during compound droughts, it can also have cascading effects on ecosystem‐level processes, influencing water, carbon, and nutrient cycling across broader landscapes. Changes in canopy forest structure from acclimation (or direct stress impacts) can trigger changes in carbon and water fluxes in ecosystems through multiple feedback loops with biotic and abiotic factors. As pointed out above, canopy dieback, leaf shedding, and ultimately tree mortality significantly impacts forest microclimate (Zellweger et al2020; de Frenne et al2021), for example by reducing the protective role of dense canopies for the understorey (de Frenne et al2021; Werner et al2021). Canopy openings from dieback or sparser canopies enhance light penetration and heat in the understorey and soil surface (Anderegg et al2013a), increasing evaporative losses from the forest floor and thereby exacerbating water shortages (Zellweger et al2020). Drought‐induced canopy openings further alter understorey light conditions by increasing both irradiance and changes in light spectra, exposing vegetation to more intense and continuous light rather than transient sunflecks — factors that should be acknowledged as key drivers of forest ecosystem change. Thermophylization, that is, the shift to warmer‐adapted understorey species, has been associated with these forest microclimate changes in Europe (Zellweger et al2020). Moreover, these altered forest structures impact albedo and canopy reflectance, with strong feedback on latent and sensible heat flux (Anderegg et al2013c).

Generally, the diversity in tree hydraulic strategies among trees can help buffer forests against extreme drought impacts (Anderegg et al2018a; Grossiord 2020; Werner et al2021). Plant functional traits, particularly those related to water transport, play a crucial role in ecosystem resilience and land–atmosphere interactions during droughts (Anderegg et al2019). However, extreme droughts can alter competitive dynamics between neighbouring tree species (e.g. Haberstroh et al2021; Hackmann et al2026, this issue; Schmied et al2026, this issue). Beneficial interactions under mild drought (e.g. Pretzsch et al2013) can shift to enhanced competition under extreme drought (Grossiord et al2020; Haberstroh & Werner 2022). Additionally, compound droughts may change species composition, yielding unpredictable ecosystem‐scale responses due to interactions between community composition and physiological responses of individual species (Aguirre‐Gutiérrez et al2019). These shifts in plant–plant and plant–soil interactions and species composition can significantly alter ecosystem–atmosphere feedback, such as ecosystem CO2 exchange. For example, it was recently shown that drought legacy effects on gross primary productivity differed between mixed versus pure beech forests (Yu et al2022). Severe compound events can shift ecosystems towards their tipping points, which can induce a shift among dominant species and contribute to forest decline (Moore 2018; Dakos et al2019; Armstrong McKay et al2022; Haberstroh et al2022b). This has, for example, been observed following the 2018 hot drought in a pine forest on highly drained soils (Haberstroh et al2026, this issue). Furthermore, the stress response of ecosystems can result in transient increases in VOC emissions in response to heat and drought (e.g. Sindelarova et al2014). Under prolonged drought, even a cascading sequential increase of ecosystem‐scale VOC concentrations, from isoprene via monoterpenes to green leaf volatiles, has been observed, tracking drought severity (Werner et al2021). Subsequent mortality‐induced changes in dominant species with different emission blends as well as drought‐induced compositional changes in VOC emissions can induce VOC–climate feedbacks (Byron et al2022), through ozone, organic aerosol formation (Arneth et al2010; Guenther et al2012), as well as aerosol–radiation interaction and formation of cloud condensation nuclei (Makkonen et al2012; Pfannerstill et al2018).

Moreover, compound droughts facilitate forest disturbance from insect outbreaks, and significantly impact the integrity of forest ecosystems (Seidl et al2017; Pile et al2019), with bark beetle infestation of spruce being a most prominent recent example (Hart et al2017; Biedermann et al2019; Netherer et al2021). In contrast, pathogen outbreaks are more likely associated with warmer and wetter conditions (Seidl et al2017). Exceptional drought events, directly and in combination with biotic disturbances, often push temperate forests beyond their sustainability thresholds (Millar & Stephenson 2015; Senf & Seidl 2021). These biotic stresses, particularly herbivory, can induce significant VOC emissions (Holopainen & Gershenzon 2010; Faiola & Taipale 2020), for example, from these large‐scale insect outbreaks, potentially affecting secondary organic aerosol formation and the radiative properties of clouds (Holopainen et al2022).

Moreover, as discussed above (Section 4), the ecosystem sensitivity to VPD versus soil moisture is shaped by soil texture, which can determine the location of the hydraulic bottleneck on the soil–plant continuum (Carminati & Javaux 2024; Wankmüller et al2024). The high spatial heterogeneity in the impact of drought on forests further underlines the importance of accounting for small‐scale differences in soils and plant‐available water, together with neighbour density and canopy structure (e.g. Schmied et al2023), in order to adequately describe the spatial variability of drought‐affected trees.

Compound droughts can also strongly impact the belowground community structure of forests. For example, the abundance of soil mesofauna such as colembolla and mites was reduced after 8 years of recurrent summer drought (Lindberg et al2002), but largely recovered after 3 years, with mobile groups tending to recover more quickly (Lindberg & Bengtsson 2006). Among soil microorganisms, in particular, fungi and bacteria are thought to mediate the response of forest ecosystems to global change (Baldrian et al2023). Drought typically reduces soil microbial biomass and changes community structure by increasing the ratio of fungal to bacterial biomass (Wang et al2021; Baldrian et al2023). Under recurrent experimental summer drought, the composition of the ectomycorrhizal community was already affected during the first year of drought, with dissimilarity to control communities progressing in subsequent drought summers (Nickel et al2018). The composition and diversity of symbiotic endophytic and ectomycorrhizal fungi are closely related to tree vigour. Similarly, arbuscular mycorrhizal fungi increase the resilience of woody plants to recurrent drought, while bacterial communities have no clear effect (Barros et al2018; Anthony et al2024). Thus, responses of symbiotic microbial groups are expected to be important for plant resilience under changing climate and its legacy, suggesting that plants may be affected even if they do not experience the stress event themselves (Baldrian et al2023; Boyle et al2024).

OUTLOOK

To continue advancing our understanding of plant responses to compound droughts, we need a multifaceted approach that integrates experimental, physiological and modelling perspectives (Werner et al2024). Experimental platforms simulating novel compound droughts, including recurrent drought events, are essential for disentangling the individual and interactive effects of climate stressors across spatial and temporal scales. Such platforms allow for a more precise assessment of drought legacies, particularly at the soil–root interface, where hydraulic properties play a crucial role in long‐term plant resilience, but are still poorly understood.

At the physiological level, a deeper understanding of the regulatory mechanisms governing the trade‐off between water loss, transpirational cooling, hydraulic processes, as well as carbon assimilation and allocation, into growth or defence is necessary. These processes underpin plant survival and ecosystem stability, yet their interactions remain insufficiently explored. Similarly, improving the mechanistic representation of temperature, VPD and soil drought interactions in climate–vegetation models is critical. Incorporating acclimation processes more explicitly into these models will enhance predictions of plant and ecosystem responses under future climate scenarios.

Finally, legacy effects and acclimation potential must be further explored, not only in terms of physiological responses but also considering phenological and structural adjustments. Understanding how past drought experiences shape future plant performance will provide key insights into ecosystem resilience and inform conservation and management strategies in the face of escalating climate extremes.

AUTHOR CONTRIBUTIONS

CW, MB, TEEG and, CG conceptualized this study and wrote the manuscript. SH analysed data and provided description and data for Figs 1, 2, 3, and HV for Fig. 4. Data for Fig. 4 were provided by GL and DT. All authors read and endorsed the final version of the manuscript.

ACKNOWLEDGEMENTS

This work was supported by the German Science Foundation (DFG) CRC‐1537 ECOSENSE to C.W. and S.H. CG was supported by the Swiss National Science Foundation (CRSK‐3_220989 and 310030_204697) and the Sandoz Family Foundation M.B. received funding from the Austrian Science Fund (FWF, P32203 and DOC171‐B). Open Access funding enabled and organized by Projekt DEAL.

APPENDIX A.

Methodology for Fig. 1

Data for the analysis of minimum standardized precipitation evapotranspiration index (SPEI) were provided by the global SPEI database (v. 2.9) on a 6‐month basis (Beguería et al2010a, 2014; Vicente‐Serrano et al2010a), which is based on the CRU gridded Time Series (TS) v. 4.07. The data had a spatial resolution of 0.5°C and covered all land masses except Antarctica between 1901 and 2022 (Harris et al2020), while only the period 1961–2022 was further analysed. In February 2025, the global SPEI database (v. 2.10), which also covers the year 2023, potentially contained errors regarding the interpolation process and thus, the authors recommended using the global SPEI database (v. 2.9).

Data for analysis of maximum air temperature (T max) and vapour pressure deficit (VPDmax) were provided by the Climatic Research Unit (CRU v. 4.08) (University of East Anglia) and NCAS (Harris et al2014, 2020) and downloaded via the CEDA archive. The included parameters from the CRU gridded Time Series (TS) v. 4.08 included monthly maximum temperature (Tmax; tmx), monthly minimum air temperature (Tmin; tmn) and monthly mean actual vapour pressure (AVP, vap). The data have a spatial resolution of 0.5°C and cover all land masses except Antarctica between 1901 and 2023 (Harris et al2020), while only the period 1961–2022 was further analysed in accordance with the available dataset for SPEI. All data were processed in R (v. 4.42) (R Core Team 2024) and read as netCDF files.

VPD (kPa) was calculated as (Allen et al1998; He et al2022):

VPD=SVPAVP (1)

where SVP is saturation vapour pressure (kPa) and AVP is actual vapour pressure (kPa). SVP (kPa) was calculated with Equation (2):

SVP=0.5×(0.611×exp17.3×TminTmin+237.3+0.611×exp17.3×TmaxTmax+237.3) (2)

where T min is minimum monthly air temperature (°C) and T max is maximum monthly air temperature (°C). Ideally, SVP in Equation (2) should be calculated with daily data; however, He et al. (2022) argue that SVP calculated with daily and monthly air temperature data yields similar results.

All parameters retrieved from both datasets (T max, VPD, SPEI) were merged per year and month according to their longitude and latitude. For each grid cell, the maximum annual T max, maximum annual VPD and minimum annual SPEI were extracted. These values were averaged per year over all grid cells (global trends in Fig. 1A–C) and five biomes (Fig. 1D–I).

Data were separated into five biomes (boreal, temperate, Mediterranean, deserts & xeric shrublands, and tropical & subtropical) using the Ecoregions shapefile provided in Resolve (https://ecoregions.appspot.com/) (Dinerstein et al2017) revised for the version of Olson et al. (2001).

Here, it must be acknowledged that not all grid cells contain the same amount and time coverage of observations. While Harris et al. (2020) warn that regional and global climate trends assessed with CRU‐TS might contain artefacts, they argue that temperature is resilient to this problem because of its long correlation decay distance (CDD, 1200 km). Similarly, AVP has a CDD of 1000 km and is based on observations of temperature and temperature range (Harris et al2020). Additionally, we cross‐checked the presented trends for T max computed with the CRU‐TS with the HadEX3 dataset for gridded land surface extremes (Dunn et al2024a) and excluded grid cells with <90% coverage between 1961 and 2018. Results clearly indicate that the patterns are consistent between datasets.

Methodology for Fig. 2

Monthly data (VPD and SPEI) for Fig. 2 were downloaded and analysed as described in the Methodology for Fig. 2 and filtered for the Northern Hemisphere (latitude >0) and Europe (excluding Russia). To retrieve data for Europe, the Country shapefile from Natural Earth (Made with Natural Earth) was used. Data were filtered for the standard reference period of 1961–1990 and averaged per month. The monthly deviation of VPD and SPEI to the standard reference period of all months between 1991 and 2022 was further calculated (Fig. 2A,C). These deviations were averaged to demonstrate the mean annual deviation of VPD and SPEI per month between 1991 and 2022 from the standard reference period (Fig. 2B,D).

Methodology for Fig. 4

We use land surface temperature (LST) from MODIS data. For each grid cell, we extracted maximum monthly temperatures using the MOD11A1 product, which provides daily land surface temperature from 2001 to 2021. Pixels of low quality, for example, contaminated by clouds or errors in the estimation of emissivity, were filtered using the product's quality band. Missing values were then gap‐filled with bilinear interpolation using the nearest available LST in space. Following the methodology of previous work (Duveiller et al2018; Guo et al2023) to approximate canopy temperature with LST, non‐vegetation pixels were first filtered out using a 1‐km vegetation pixel fraction map based on the ESA land cover map (Defourny 2019). We filtered the densely vegetated areas, excluding areas with a leaf area index <2, using the MODIS MCD15A3H product. Maps were transformed to 5‐km resolution, excluding pixels with NA values.

Per each year, the maximum monthly LST value was selected and used for the rest of the analysis. We calculated the trend per pixel from 2001 to 2021 based on a linear model and displayed the slope on a map. For specific areas (Western Mediterranean = long −4 to 1°, lat 40 to 43°; Temperate = long 8 to 13°, lat 49 to 53°; Boreal = long 25 to 30°, lat 61 to 64°; and Eastern Mediterranean = long 30 to 35°, lat 38 to 41°) we calculated the maximum LST per area and displayed results in a regression. We also mapped the average maximum LST from 2001 to 2021, and the maximum LST in 2003 and 2018.

Editor: F. Loreto

Contributor Information

C. Werner, Email: c.werner@cep.uni-freiburg.de.

G. Lenczner, Email: gaston.lenczner@epfl.ch.

D. Tuia, Email: devis.tuia@epfl.ch.

H. Vallicrosa, Email: helena.vallicrosa@epfl.ch.

DATA AVAILABILITY STATEMENT

Gridded data for Tmax, Tmin and AVP are available from the Climate Research Unit (CRU v. 4.08; University of East Anglia) and NCAS (Harris et al2014, 2020) and can be downloaded via the CEDA archive (https://data.ceda.ac.uk/badc/cru/data/cru_ts/cru_ts_4.08). Gridded data for SPEI6 are available from the global SPEI database (v. 2.9) (Beguería et al2010a, 2014; Vicente‐Serrano et al2010a) and can be downloaded via the global SPEI database (https://spei.csic.es/database.html). Shapefiles for the biomes in Fig. 1 can be downloaded from https://ecoregions.appspot.com/. The shapefile for Europe can be accessed at Natural Earth (https://www.naturalearthdata.com/).

References

  1. Aguirre‐Gutiérrez J., Oliveras I., Rifai S., Fauset S., Adu‐Bredu S., Affum‐Baffoe K., Baker T.R., Feldpausch T.R., Gvozdevaite A., Hubau W., Kraft N.J.B., Lewis S.L., Moore S., Niinemets Ü., Peprah T., Phillips O.L., Ziemińska K., Enquist B., Malhi Y. (2019) Drier tropical forests are susceptible to functional changes in response to a long‐term drought. Ecology Letters, 22, 855–865. [DOI] [PubMed] [Google Scholar]
  2. Alderotti F., Bussotti F., Brunetti C., Ferrini F., Gori A., Pollastrini M. (2024) Linking patterns of forest dieback to triggering climatic and weather events: An overview on Mediterranean forests. iForest, 17, 309–316. [Google Scholar]
  3. Allen C.D., Breshears D.D., McDowell N.G. (2015) On underestimation of global vulnerability to tree mortality and forest die‐off from hotter drought in the Anthropocene. Ecosphere, 6, art129. [Google Scholar]
  4. Allen R.G., Pereira L.S., Raes D., Smith M. (1998) Crop Evapotranspiration—Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. http://www.fao.org/3/X0490E/x0490e00.htm
  5. Anderegg L.D.L., Anderegg W.R.L., Abatzoglou J., Hausladen A.M., Berry J.A. (2013a) Drought characteristics' role in widespread aspen forest mortality across Colorado, USA. Global Change Biology, 19, 1526–1537. [DOI] [PubMed] [Google Scholar]
  6. Anderegg L.D.L., Anderegg W.R.L., Berry J.A. (2013b) Not all droughts are created equal: Translating meteorological drought into woody plant mortality. Tree Physiology, 33, 701–712. [DOI] [PubMed] [Google Scholar]
  7. Anderegg L.D.L., Griffith D.M., Cavender‐Bares J., Riley W.J., Berry J.A., Dawson T.E., Still C.J. (2022) Representing plant diversity in land models: An evolutionary approach to make “functional types” more functional. Global Change Biology, 28, 2541–2554. [DOI] [PubMed] [Google Scholar]
  8. Anderegg W.R.L., Kane J.M., Anderegg L.D.L. (2013c) Consequences of widespread tree mortality triggered by drought and temperature stress. Nature Climate Change, 3, 30–36. [Google Scholar]
  9. Anderegg W.R.L., Konings A.G., Trugman A.T., Yu K., Bowling D.R., Gabbitas R., Karp D.S., Pacala S., Sperry J.S., Sulman B.N., Zenes N. (2018a) Hydraulic diversity of forests regulates ecosystem resilience during drought. Nature, 561, 538–541. [DOI] [PubMed] [Google Scholar]
  10. Anderegg W.R.L., Trugman A.T., Bowling D.R., Salvucci G., Tuttle S.E. (2019) Plant functional traits and climate influence drought intensification and land‐atmosphere feedbacks. Proceedings of the National Science of Sciences, 116, 14071–14076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Anderegg W.R.L., Wolf A., Arango‐Velez A., Choat B., Chmura D.J., Jansen S., Kolb T., Li S., Meinzer F.C., Pita P., Resco de Dios V., Sperry J.S., Wolfe B.T., Pacala S. (2018b) Woody plants optimise stomatal behaviour relative to hydraulic risk. Ecology Letters, 21, 968–977. [DOI] [PubMed] [Google Scholar]
  12. Anthony M.A., Tedersoo L., de Vos B., Croisé L., Meesenburg H., Wagner M., Andreae H., Jacob F., Lech P., Kowalska A., Greve M., Popova G., Frey B., Gessler A., Schaub M., Ferretti M., Waldner P., Calatayud V., Canullo R., Papitto G., Marinšek A., Ingerslev M., Vesterdal L., Rautio P., Meissner H., Timmermann V., Dettwiler M., Eickenscheidt N., Schmitz A., van Tiel N., Crowther T.W., Averill C. (2024) Fungal community composition predicts forest carbon storage at a continental scale. Nature Communications, 15, 2385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Arend M., Link R.M., Zahnd C., Hoch G., Schuldt B., Kahmen A. (2022) Lack of hydraulic recovery as a cause of post‐drought foliage reduction and canopy decline in European beech. New Phytologist, 234, 1195–1205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Armstrong McKay D.I., Staal A., Abrams J.F., Winkelmann R., Sakschewski B., Loriani S., Fetzer I., Cornell S.E., Rockström J., Lenton T.M. (2022) Exceeding 1.5°C global warming could trigger multiple climate tipping points. Science (New York, N.Y.), 377, eabn7950. [DOI] [PubMed] [Google Scholar]
  15. Arneth A., Harrison S.P., Zaehle S., Tsigaridis K., Menon S., Bartlein P.J., Feichter J., Korhola A., Kulmala M., O'Donnell D., Schurgers G., Sorvari S., Vesala T. (2010) Terrestrial biogeochemical feedbacks in the climate system. Nature Geoscience, 3, 525–532. [Google Scholar]
  16. Bachofen C., Tumber‐Dávila S.J., Mackay D.S., McDowell N.G., Carminati A., Klein T., Stocker B.D., Mencuccini M., Grossiord C. (2024) Tree water uptake patterns across the globe. New Phytologist, 242, 1891–1910. [DOI] [PubMed] [Google Scholar]
  17. Baldrian P., López‐Mondéjar R., Kohout P. (2023) Forest microbiome and global change. Nature Reviews Microbiology, 21, 487–501. [DOI] [PubMed] [Google Scholar]
  18. Ball J.T., Woodrow I.E., Berry J.A. (1987) A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Biggins, J. (Ed), Progress in Photosynthesis Research. Vol. 4. Springer, Dordrecht, pp 221–224. 10.1007/978-94-017-0519-6_48 [DOI] [Google Scholar]
  19. Barros V., Frosi G., Santos M., Ramos D.G., Falcão H.M., Santos M.G. (2018) Arbuscular mycorrhizal fungi improve photosynthetic energy use efficiency and decrease foliar construction cost under recurrent water deficit in woody evergreen species. Plant Physiology and Biochemistry, 127, 469–477. [DOI] [PubMed] [Google Scholar]
  20. Bastos A., Sippel S., Frank D., Mahecha M.D., Zaehle S., Zscheischler J., Reichstein M. (2023) A joint framework for studying compound ecoclimatic events. Nature Reviews Earth and Environment, 4, 333–350. [Google Scholar]
  21. Beguería S., Vicente‐Serrano S.M., Angulo‐Martínez M. (2010a) A multiscalar global drought dataset: The SPEIbase: A new gridded product for the analysis of drought variability and impacts. Bulletin of the American Meteorological Society, 91, 1351–1354. [Google Scholar]
  22. Beguería S., Vicente‐Serrano S.M., Reig F., Latorre B. (2014) Standardized precipitation evapotranspiration index (SPEI) revisited: Parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. International Journal of Climatology, 34, 3001–3023. [Google Scholar]
  23. Berdugo M., Delgado‐Baquerizo M., Soliveres S., Hernández‐Clemente R., Zhao Y., Gaitán J.J., Gross N., Saiz H., Maire V., Lehmann A., Rillig M.C., Solé R.V., Maestre F.T. (2020) Global ecosystem thresholds driven by aridity. Science, 367, 787–790. [DOI] [PubMed] [Google Scholar]
  24. Bergman M.E., Huang X.‐Q., Baudino S., Caissard J.‐C., Dudareva N. (2025) Plant volatile organic compounds: Emission and perception in a changing world. Current Opinion in Plant Biology, 85, 102706. [DOI] [PubMed] [Google Scholar]
  25. Bevacqua E., Zappa G., Lehner F., Zscheischler J. (2022) Precipitation trends determine future occurrences of compound hot–dry events. Nature Climate Change, 12, 350–355. [Google Scholar]
  26. Biedermann P.H.W., Müller J., Grégoire J.‐C., Gruppe A., Hagge J., Hammerbacher A., Hofstetter R.W., Kandasamy D., Kolarik M., Kostovcik M., Krokene P., Sallé A., Six D.L., Turrini T., Vanderpool D., Wingfield M.J., Bässler C. (2019) Bark beetle population dynamics in the Anthropocene: Challenges and solutions. Trends in Ecology & Evolution, 34, 914–924. [DOI] [PubMed] [Google Scholar]
  27. Blaurock K., Beudert B., Gilfedder B.S., Fleckenstein J.H., Peiffer S., Hopp L. (2021) Low hydrological connectivity after summer drought inhibits DOC export in a forested headwater catchment. Hydrology and Earth System Sciences, 25, 5133–5151. [Google Scholar]
  28. Bose A.K., Moser B., Rigling A., Lehmann M.M., Milcu A., Peter M., Rellstab C., Wohlgemuth T., Gessler A. (2020) Memory of environmental conditions across generations affects the acclimation potential of scots pine. Acta Amaz, 43, 1288–1299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Boyle J.A., Murphy B.K., Ensminger I., Stinchcombe J.R., Frederickson M.E. (2024) Resistance and resilience of soil microbiomes under climate change. Ecosphere, 15, e70077. [Google Scholar]
  30. Bréda N., Huc R., Granier A., Dreyer E. (2006) Temperate forest trees and stands under severe drought: A review of ecophysiological responses, adaptation processes and long‐term consequences. Annals of Forest Science, 63, 625–644. [Google Scholar]
  31. Brinkmann N., Eugster W., Buchmann N., Kahmen A. (2019) Species‐specific differences in water uptake depth of mature temperate trees vary with water availability in the soil. Plant Biology, 21, 71–81. [DOI] [PubMed] [Google Scholar]
  32. Brodribb T., Brodersen C.R., Carriqui M., Tonet V., Rodriguez Dominguez C., McAdam S. (2021) Linking xylem network failure with leaf tissue death. New Phytologist, 232, 68–79. [DOI] [PubMed] [Google Scholar]
  33. Brodribb T.J., Powers J., Cochard H., Choat B. (2020) Hanging by a thread? Forests and drought. Science, 368, 261–266. [DOI] [PubMed] [Google Scholar]
  34. Brunn M., Hafner B.D., Zwetsloot M.J., Weikl F., Pritsch K., Hikino K., Ruehr N.K., Sayer E.J., Bauerle T.L. (2022) Carbon allocation to root exudates is maintained in mature temperate tree species under drought. New Phytologist, 235, 965–977. [DOI] [PubMed] [Google Scholar]
  35. Brunner I., Herzog C., Dawes M.A., Arend M., Sperisen C. (2015) How tree roots respond to drought. Frontiers in Plant Science, 6, 547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Buckley T.N. (2019) How do stomata respond to water status? New Phytologist, 224, 21–36. [DOI] [PubMed] [Google Scholar]
  37. Byron J., Kreuzwieser J., Purser G., van Haren J., Ladd S.N., Meredith L.K., Werner C., Williams J. (2022) Chiral monoterpenes reveal forest emission mechanisms and drought responses. Nature, 609, 307–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Calvin K., Dasgupta D., Krinner G., Mukherji A., Thorne P.W., Trisos C., Romero J., Aldunce P., Barret K., Blanco G. (2023). In: IPCC , Lee H., Romero J. (Eds), Climate Change 2023: Synthesis Report, Summary for Policymakers. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team]. IPCC, Geneva, Switzerland. [Google Scholar]
  39. Carminati A., Javaux M. (2020) Soil rather than xylem vulnerability controls Stomatal response to drought. Trends in Plant Science, 25, 868–880. [DOI] [PubMed] [Google Scholar]
  40. Carminati A., Javaux M. (2024) When is a soil too dry for plants to take up water? Nature, 635, 631–638.39443806 [Google Scholar]
  41. Centritto M., Brilli F., Fodale R., Loreto F. (2011) Different sensitivity of isoprene emission, respiration and photosynthesis to high growth temperature coupled with drought stress in black poplar (Populus nigra) saplings. Tree Physiology, 31, 275–286. [DOI] [PubMed] [Google Scholar]
  42. Chitra‐Tarak R., Ruiz L., Dattaraja H.S., Mohan Kumar M.S., Riotte J., Suresh H.S., McMahon S.M., Sukumar R. (2018) The roots of the drought: Hydrology and water uptake strategies mediate forest‐wide demographic response to precipitation. Journal of Ecology, 106, 1495–1507. [Google Scholar]
  43. Chitra‐Tarak R., Xu C., Aguilar S., Anderson‐Teixeira K.J., Chambers J., Detto M., Faybishenko B., Fisher R.A., Knox R.G., Koven C.D. (2021) Hydraulically‐vulnerable trees survive on deep‐water access during droughts in a tropical forest. New Phytologist, 231, 1798–1813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Choat B., Brodribb T.J., Brodersen C.R., Duursma R.A., López R., Medlyn B.E. (2018) Triggers of tree mortality under drought. Nature, 558, 531–539. [DOI] [PubMed] [Google Scholar]
  45. Chowdhury F.I., Arteaga C., Alam M.S., Alam I., Resco de Dios V. (2022) Drivers of nocturnal stomatal conductance in C3 and C4 plants. Science of the Total Environment, 814, 151952. [DOI] [PubMed] [Google Scholar]
  46. Cochard H. (2021) A new mechanism for tree mortality due to drought and heatwaves. Peer Community Journal, 1, e36. 10.24072/pcjournal.45. [DOI] [Google Scholar]
  47. Cowan I.R., Farquhar G.D., Jennings D.H. (1977) Integration of activity in the higher plant, Stomatal function in relation to leaf metabolism and environment. Cambridge University Press, Cambridge, UK, pp 471–505. [PubMed] [Google Scholar]
  48. Dakos V., Matthews B., Hendry A.P., Levine J., Loeuille N., Norberg J., Nosil P., Scheffer M., Meester L.D. (2019) Ecosystem tipping points in an evolving world. Nature Ecology & Evolution, 3, 355–362. [DOI] [PubMed] [Google Scholar]
  49. Davey M., Cunningham P., Davies J. (2023) Variation in stem hydraulic capacitance in two Eucalyptus pauciflora subspecies across an elevational gradient: Stem hydraulic capacitance and elevation in Eucalyptus pauciflora. Field Studies in Ecology, 4. https://studentjournals.anu.edu.au/index.php/fse/article/view/804 [Google Scholar]
  50. de Frenne P., Lenoir J., Luoto M., Scheffers B.R., Zellweger F., Aalto J., Ashcroft M.B., Christiansen D.M., Decocq G., de Pauw K., Govaert S., Greiser C., Gril E., Hampe A., Jucker T., Klinges D.H., Koelemeijer I.A., Lembrechts J.J., Marrec R., Meeussen C., Ogée J., Tyystjärvi V., Vangansbeke P., Hylander K. (2021) Forest microclimates and climate change: Importance, drivers and future research agenda. Global Change Biology, 27, 2279–2297. [DOI] [PubMed] [Google Scholar]
  51. de Luca P., Donat M.G. (2023) Projected changes in hot, dry, and compound hot‐dry extremes over global land regions. Geophysical Research Letters, 50, e2022GL102493. [Google Scholar]
  52. Defourny P., ESA Land Cover CCI project team (2019) ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 24‐07‐2025. https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c (accessed 24 July 2025). [Google Scholar]
  53. Diao H., Cernusak L.A., Saurer M., Gessler A., Siegwolf R.T.W., Lehmann M.M. (2024) Uncoupling of stomatal conductance and photosynthesis at high temperatures: Mechanistic insights from online stable isotope techniques. New Phytologist, 241, 2366–2378. [DOI] [PubMed] [Google Scholar]
  54. Dietrich L., Zweifel R., Kahmen A. (2018) Daily stem diameter variations can predict the canopy water status of mature temperate trees. Tree Physiology, 38, 941–952. [DOI] [PubMed] [Google Scholar]
  55. Dinerstein E., Olson D., Joshi A., Vynne C., Burgess N.D., Wikramanayake E., Hahn N., Palminteri S., Hedao P., Noss R., Hansen M., Locke H., Ellis E.C., Jones B., Barber C.V., Hayes R., Kormos C., Martin V., Crist E., Sechrest W., Price L., Baillie J.E.M., Weeden D., Suckling K., Davis C., Sizer N., Moore R., Thau D., Birch T., Potapov P., Turubanova S., Tyukavina A., de Souza N., Pintea L., Brito J.C., Llewellyn O.A., Miller A.G., Patzelt A., Ghazanfar S.A., Timberlake J., Klöser H., Shennan‐Farpón Y., Kindt R., Lillesø J.P.B., van Breugel P., Graudal L., Voge M., al‐Shammari K.F., Saleem M. (2017) An ecoregion‐based approach to protecting half the terrestrial realm. Bioscience, 67, 534–545. 10.1093/biosci/bix014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Ding Y., Nie Y., Chen H., Wang K., Querejeta J.I. (2021) Water uptake depth is coordinated with leaf water potential, water‐use efficiency and drought vulnerability in karst vegetation. New Phytologist, 229, 1339–1353. [DOI] [PubMed] [Google Scholar]
  57. Donfack L.S., Mund M., Koebsch F., Schall P., Heidenreich M.G., Seidel D., Ammer C. (2026) Linking sap flow and tree water deficit in an unmanaged, mixed beech forest during the summer drought 2022. Plant Biology, 28, 747–761. 10.1111/plb.13754 [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Doughty C.E., Keany J.M., Wiebe B.C., Rey‐Sanchez C., Carter K.R., Middleby K.B., Cheesman A.W., Goulden M.L., da Rocha H.R., Miller S.D., Malhi Y., Fauset S., Gloor E., Slot M., Oliveras Menor I., Crous K.Y., Goldsmith G.R., Fisher J.B. (2023) Tropical forests are approaching critical temperature thresholds. Nature, 621, 105–111. [DOI] [PubMed] [Google Scholar]
  59. Drake J.E., Tjoelker M.G., Vårhammar A., Medlyn B.E., Reich P.B., Leigh A., Pfautsch S., Blackman C.J., López R., Aspinwall M.J., Crous K.Y., Duursma R.A., Kumarathunge D., de Kauwe M.G., Jiang M., Nicotra A.B., Tissue D.T., Choat B., Atkin O.K., Barton C.V.M. (2018) Trees tolerate an extreme heatwave via sustained transpirational cooling and increased leaf thermal tolerance. Global Change Biology, 24, 2390–2402. [DOI] [PubMed] [Google Scholar]
  60. Dumberger S., Kinzinger L., Weiler M., Werner C., Haberstroh S. (2025) Dynamic shifts in radial sap flow of two temperate tree species in response to the dry summer 2022. Ecohydrology, 18, e70054. 10.1002/eco.70054 [DOI] [Google Scholar]
  61. Dunn R.J., Herold N., Alexander L.V., Donat M.G., Allan R., Bador M., Dunn R.J.H., Brunet M., Cheng V., Ibadullah W.M.W., Ibrahim M.K.I.B., Kruger A., Kubota H., Lippmann T.J.R., Marengo J., Mbatha S., McGree S., Ngwenya S., Pabon Caicedo J.D., Ramos A., Salinger J., van der Schrier G., Srivastava A., Trewin B., Yáñez R.V., Vazquez‐Aguirre J., Jiménez C.V., Vose R., Yussof M.N'A.B.H., Zhang X. (2024) Observed global changes in sector‐relevant climate extremes indices — An extension to HadEX3. Earth and Space Science, 11, e2023EA003279. 10.1029/2023EA003279 [DOI] [Google Scholar]
  62. Duursma R.A., Blackman C.J., Lopéz R., Martin‐StPaul N.K., Cochard H., Medlyn B.E. (2019) On the minimum leaf conductance: Its role in models of plant water use, and ecological and environmental controls. New Phytologist, 221, 693–705. [DOI] [PubMed] [Google Scholar]
  63. Duveiller G., Hooker J., Cescatti A. (2018) The mark of vegetation change on Earth's surface energy balance. Nature Communications, 9, 679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Faiola C., Taipale D. (2020) Impact of insect herbivory on plant stress volatile emissions from trees: A synthesis of quantitative measurements and recommendations for future research. Atmospheric Environment: X, 5, 100060. [Google Scholar]
  65. Fang L., Martre P., Jin K., Du X., van der Putten P.E.L., Yin X., Struik P.C. (2023) Neglecting acclimation of photosynthesis under drought can cause significant errors in predicting leaf photosynthesis in wheat. Global Change Biology, 29, 505–521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Fang Z., Zhang W., Brandt M., Abdi A.M., Fensholt R. (2022) Globally increasing atmospheric aridity over the 21st century. Earth's Future, 10, e2022EF003019. [Google Scholar]
  67. Fares S., Mahmood T., Liu S., Loreto F., Centritto M. (2011) Influence of growth temperature and measuring temperature on isoprene emission, diffusive limitations of photosynthesis and respiration in hybrid poplars. Atmospheric Environment, 45, 155–161. [Google Scholar]
  68. Farquhar G.D., Sharkey T.D. (1982) Stomatal conductance and photosynthesis. Annual Review of Plant Physiology, 33, 317–345. [Google Scholar]
  69. Fatecha B.V., Martínez‐Vilalta J., Mencuccini M., Poyatos R. (2024) Multi‐Biome Assessment of Tree Water Use Resilience to Drought.
  70. Feldman A.F., Feng X., Felton A.J., Konings A.G., Knapp A.K., Biederman J.A., Poulter B. (2024) Plant responses to changing rainfall frequency and intensity. Nature Reviews Earth and Environment, 5, 276–294. [Google Scholar]
  71. Feng X., Ackerly D.D., Dawson T.E., Manzoni S., McLaughlin B., Skelton R.P., Vico G., Weitz A.P., Thompson S.E. (2019) Beyond isohydricity: The role of environmental variability in determining plant drought responses. Acta Amaz, 42, 1104–1111. [DOI] [PubMed] [Google Scholar]
  72. Fortunati A., Barta C., Brilli F., Centritto M., Zimmer I., Schnitzler J.‐P., Loreto F. (2008) Isoprene emission is not temperature‐dependent during and after severe drought‐stress: A physiological and biochemical analysis. The Plant Journal for Cell and Molecular biology, 55, 687–697. [DOI] [PubMed] [Google Scholar]
  73. Gauthey A., Bachofen C., Deluigi J., Didion‐Gency M., D'Odorico P., Gisler J., Mas E., Schaub M., Schuler P., Still C.J., Tunas A., Grossiord C. (2023) Absence of canopy temperature variation despite stomatal adjustment in Pinus sylvestris under multidecadal soil moisture manipulation. New Phytologist, 240, 127–137. [DOI] [PubMed] [Google Scholar]
  74. Gauthey A., Kahmen A., Limousin J.‐M., Vilagrosa A., Didion‐Gency M., Mas E., Milano A., Tunas A., Grossiord C. (2024) High heat tolerance, evaporative cooling, and stomatal decoupling regulate canopy temperature and their safety margins in three European oak species. Global Change Biology, 30, e17439. [DOI] [PubMed] [Google Scholar]
  75. Gazol A., Camarero J.J. (2022) Compound climate events increase tree drought mortality across European forests. Science of the Total Environment, 816, 151604. [DOI] [PubMed] [Google Scholar]
  76. Gimbel K.F., Puhlmann H., Weiler M. (2016) Does drought alter hydrological functions in forest soils? Hydrology and Earth System Sciences, 20, 1301–1317. [Google Scholar]
  77. Gjindali A., Johnson G.N. (2023) Photosynthetic acclimation to changing environments. Biochemical Society Transactions, 51, 473–486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Godwin J., Farrona S. (2020) Plant epigenetic stress memory induced by drought: A physiological and molecular perspective. Methods in Molecular Biology, 2093, 243–259. [DOI] [PubMed] [Google Scholar]
  79. Goldstein G., Andrade J.L., Meinzer F.C., Holbrook N.M., Cavelier J., Jackson P., Celis A. (1998) Stem water storage and diurnal patterns of water use in tropical forest canopy trees. Plant, Cell & Environment, 21, 397–406. [Google Scholar]
  80. Grams T.E.E., Hesse B.D., Gebhardt T., Weikl F., Rötzer T., Kovacs B., Hikino K., Hafner B.D., Brunn M., Bauerle T., Häberle K.‐H., Pretzsch H., Pritsch K. (2021) The Kroof experiment: Realization and efficacy of a recurrent drought experiment plus recovery in a beech/spruce forest. Ecosphere, 12. e03399. [Google Scholar]
  81. Grossiord C. (2020) Having the right neighbors: How tree species diversity modulates drought impacts on forests. New Phytologist, 228, 42–49. [DOI] [PubMed] [Google Scholar]
  82. Grossiord C., Buckley T.N., Cernusak L.A., Novick K.A., Poulter B., Siegwolf R.T.W., Sperry J.S., McDowell N.G. (2020) Plant responses to rising vapor pressure deficit. New Phytologist, 226, 1550–1566. [DOI] [PubMed] [Google Scholar]
  83. Grossiord C., Sevanto S., Dawson T.E., Adams H.D., Collins A.D., Dickman L.T., Newman B.D., Stockton E.A., McDowell N.G. (2017) Warming combined with more extreme precipitation regimes modifies the water sources used by trees. New Phytologist, 213, 584–596. [DOI] [PubMed] [Google Scholar]
  84. Grossiord C., Sevanto S., Limousin J.‐M., Meir P., Mencuccini M., Pangle R.E., Pockman W.T., Salmon Y., Zweifel R., McDowell N.G. (2018) Manipulative experiments demonstrate how long‐term soil moisture changes alter controls of plant water use. Environmental and Experimental Botany, 152, 19–27. [Google Scholar]
  85. Grünzweig J.M., de Boeck H.J., Rey A., Santos M.J., Adam O., Bahn M., Belnap J., Deckmyn G., Dekker S.C., Flores O., Gliksman D., Helman D., Hultine K.R., Liu L., Meron E., Michael Y., Sheffer E., Throop H.L., Tzuk O., Yakir D. (2022) Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world. Nature Ecology & Evolution, 6, 1064–1076. [DOI] [PubMed] [Google Scholar]
  86. Guenther A. (2013) Biological and chemical diversity of biogenic volatile organic emissions into the atmosphere. ISRN Atmospheric Sciences, 2013, 1–27. [Google Scholar]
  87. Guenther A.B., Jiang X., Heald C.L., Sakulyanontvittaya T., Duhl T., Emmons L.K., Wang X. (2012) The model of emissions of gases and aerosols from nature version 2.1 (MEGAN2.1): An extended and updated framework for modeling biogenic emissions. Geoscientific Model Development, 5, 1471–1492. [Google Scholar]
  88. Guo Z., Still C.J., Lee C.K.F., Ryu Y., Blonder B., Wang J., Bonebrake T.C., Hughes A., Li Y., Yeung H.C.H., Zhang K., Law Y.K., Wu J. (2023) Does plant ecosystem thermoregulation occur? An extratropical assessment at different spatial and temporal scales. New Phytologist, 238, 1004–1018. 10.1111/nph.18632 [DOI] [PubMed] [Google Scholar]
  89. Haberstroh S., Caldeira M.C., Lobo‐do‐Vale R., Martins J.I., Moemken J., Pinto J.G., Werner C. (2021) Nonlinear plant‐plant interactions modulate impact of extreme drought and recovery on a Mediterranean ecosystem. New Phytologist, 231, 1784–1797. [DOI] [PubMed] [Google Scholar]
  90. Haberstroh S., Christen A., Sulzer M., Scarpa F., Werner C. (2026) Recurrent hot droughts cause persistent legacy effects in a temperate scots pine forest. Plant Biology, 28, 622–636. 10.1111/plb.70066 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Haberstroh S., Lobo‐do‐Vale R., Caldeira M.C., Dubbert M., Cuntz M., Werner C. (2022a) Plant invasion modifies isohydricity in Mediterranean tree species. Functional Ecology, 36, 2384–2398. [Google Scholar]
  92. Haberstroh S., Werner C. (2022) The role of species interactions for forest resilience to drought. Plant Biology, 24, 1098–1107. 10.1111/plb.13415 [DOI] [PubMed] [Google Scholar]
  93. Haberstroh S., Werner C., Grün M., Kreuzwieser J., Seifert T., Schindler D., Christen A. (2022b) Central European 2018 hot drought shifts scots pine forest to its tipping point. Plant Biology, 24, 1186–1197. 10.1111/plb.13455 [DOI] [PubMed] [Google Scholar]
  94. Hackmann C.A., Paligi S.S., Mund M., Hölscher D., Leuschner C., Pietig K., Ammer C. (2026) Root water uptake depth in temperate forest trees: Species‐specific patterns shaped by neighbourhood and environment. Plant Biology, 28, 872–887. 10.1111/plb.70058 [DOI] [PubMed] [Google Scholar]
  95. Hafner B.D., Hesse B.D., Grams T.E.E. (2026) Redistribution of soil water by mature trees towards dry surface soils and uptake by seedlings in a temperate forest. Plant Biology, 28, 888–896. 10.1111/plb.13764 [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Hammond W.M., Williams A.P., Abatzoglou J.T., Adams H.D., Klein T., López R., Sáenz‐Romero C., Hartmann H., Breshears D.D., Allen C.D. (2022) Global field observations of tree die‐off reveal hotter‐drought fingerprint for Earth's forests. Nature Communications, 13, 1761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Hao Z., Hao F., Xia Y., Feng S., Sun C., Zhang X., Fu Y., Hao Y., Zhang Y., Meng Y. (2022) Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts. Earth‐Science Reviews, 235, 104241. [Google Scholar]
  98. Hari V., Rakovec O., Markonis Y., Hanel M., Kumar R. (2020) Increased future occurrences of the exceptional 2018–2019 central European drought under global warming. Science Reports, 10, 12207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Harris I., Jones P.D., Osborn T.J., Lister D.H. (2014) Updated high‐resolution grids of monthly climatic observations–the CRU TS3. 10 dataset. International Journal of Climatology, 34, 623–642. [Google Scholar]
  100. Harris I., Osborn T.J., Jones P., Lister D. (2020) Version 4 of the CRU TS monthly high‐resolution gridded multivariate climate dataset. Scientific Data, 7, 109. 10.1038/s41597-020-0453-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Hart S.J., Veblen T.T., Schneider D., Molotch N.P. (2017) Summer and winter drought drive the initiation and spread of spruce beetle outbreak. Ecology, 98, 2698–2707. [DOI] [PubMed] [Google Scholar]
  102. Hartmann H., Bastos A., Das A.J., Esquivel‐Muelbert A., Hammond W.M., Martínez‐Vilalta J., McDowell N.G., Powers J.S., Pugh T.A.M., Ruthrof K.X., Allen C.D. (2022) Climate change risks to global Forest health: Emergence of unexpected events of elevated tree mortality worldwide. Annual Review of Plant Biology, 73, 673–702. [DOI] [PubMed] [Google Scholar]
  103. Harvey C.M., Li Z., Tjellström H., Blanchard G.J., Sharkey T.D. (2015) Concentration of isoprene in artificial and thylakoid membranes. Journal of Bioenergetics and Biomembranes, 47, 419–429. [DOI] [PubMed] [Google Scholar]
  104. He B., Chen C., Lin S., Yuan W., Chen H.W., Chen D., Zhang Y., Guo L., Zhao X., Liu X. (2022) Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks. National Science Review, 9, nwab150. 10.1093/nsr/nwab150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Heinrich S., Yu X., Limousin J.M., Werner C., Bastos A., Hoek van Dijke A., Walther A., Kroll J., Orth R. (2026) Full recovery of physiological functioning in a Mediterranean forest after severe drought. Plant Biology, 28, 671–683. 10.1111/plb.70082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Hesse B.D., Hikino K., Gebhardt T., Buchhart C., Dervishi V., Goisser M., Pretzsch H., Häberle K.‐H., Grams T.E.E. (2024) Acclimation of mature spruce and beech to five years of repeated summer drought ‐ the role of stomatal conductance and leaf area adjustment for water use. Science of the Total Environment, 951, 175805. [DOI] [PubMed] [Google Scholar]
  107. Hikino K., Hesse B.D., Gebhardt T., Hafner B.D., Buchhart C., Baumgarten M., Häberle K.‐H., Grams T.E.E. (2026) Drought legacy in mature spruce alleviates physiological stress during recurrent drought. Plant Biology, 28, 637–648. 10.1111/plb.70039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Hikosaka K. (2021) Photosynthesis, chlorophyll fluorescence and photochemical reflectance index in photoinhibited leaves. Funct. Plant Biol.: FPB, 48, 815–826. [DOI] [PubMed] [Google Scholar]
  109. Holopainen E., Kokkola H., Faiola C., Laakso A., Kühn T. (2022) Insect herbivory caused plant stress emissions increases the negative radiative forcing of aerosols. Journal of geophysical research. Atmospheres JGR, 127, e2022JD036733. 10.1029/2022JD036733 [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Holopainen J.K., Gershenzon J. (2010) Multiple stress factors and the emission of plant VOCs. Trends in Plant Science, 15, 176–184. [DOI] [PubMed] [Google Scholar]
  111. Ionita M., Nagavciuc V. (2021) Changes in drought features at European level over the last 120 years. Natural Hazards and Earth System Sciences Discussions, 21, 1685–1701. [Google Scholar]
  112. Jud W., Vanzo E., Li Z., Ghirardo A., Zimmer I., Sharkey T.D., Hansel A., Schnitzler J.‐P. (2016) Effects of heat and drought stress on post‐illumination bursts of volatile organic compounds in isoprene‐emitting and non‐emitting poplar. Plant, Cell & Environment, 39, 1204–1215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Jupa R., Plavcová L., Gloser V., Jansen S. (2016) Linking xylem water storage with anatomical parameters in five temperate tree species. Tree Physiology, 36, 756–769. [DOI] [PubMed] [Google Scholar]
  114. Kahmen A., Basler D., Hoch G., Link R.M., Schuldt B., Zahnd C., Arend M. (2022) Root water uptake depth determines the hydraulic vulnerability of temperate European tree species during the extreme 2018 drought. Plant Biology, 24, 1224–1239. [DOI] [PubMed] [Google Scholar]
  115. Kannenberg S.A., Novick K.A., Alexander M.R., Maxwell J.T., Moore D.J.P., Phillips R.P., Anderegg W.R.L. (2019) Linking drought legacy effects across scales: From leaves to tree rings to ecosystems. Global Change Biology, 25, 2978–2992. [DOI] [PubMed] [Google Scholar]
  116. Karlova R., Boer D., Hayes S., Testerink C. (2021) Root plasticity under abiotic stress. Plant Physiology, 187, 1057–1070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Kinzinger L., Haberstroh S., Mach J., Weiler M., Orlowski N., Werner C. (2025) Continuous in‐situ water stable isotopes reveal rapid changes in root water uptake by Fagus sylvatica during severe drought. Plant, Cell & Environment. 10.1111/pce.70055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Kinzinger L., Mach J., Haberstroh S., Schindler Z., Frey J., Dubbert M., Seeger S., Seifert T., Weiler M., Orlowski N., Werner C. (2024) Interaction between beech and spruce trees in temperate forests affects water use, root water uptake pattern and canopy structure. Tree Physiology, 44, tpad144. 10.1093/treephys/tpad144 [DOI] [PubMed] [Google Scholar]
  119. Knutzen F., Averbeck P., Barrasso C., Bouwer L.M., Gardiner B., Grünzweig J.M., Hänel S., Haustein K., Johannessen M.R., Kollet S., Müller M.M., Pietikäinen J.‐P., Pietras‐Couffignal K., Pinto J.G., Rechid D., Rousi E., Russo A., Suarez‐Gutierrez L., Veit S., Wendler J., Xoplaki E., Gliksman D. (2025) Impacts on and damage to European forests from the 2018–2022 heat and drought events. Natural Hazards and Earth System Sciences, 25, 77–117. [Google Scholar]
  120. Kretz L., Schnabel F., Richter R., Raabgrund A., Kattge J., Andraczek K., Kahl A., Künne T., Wirth C. (2026) Functional traits explain growth response to successive hotter droughts across a wide set of common and future tree species in Europe. Plant Biology, 28, 827–845. 10.1111/plb.70024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Kreuzwieser J., Meischner M., Grün M., Yáñez‐Serrano A.M., Fasbender L., Werner C. (2021) Drought affects carbon partitioning into volatile organic compound biosynthesis in scots pine needles. New Phytologist, 232, 1930–1943. [DOI] [PubMed] [Google Scholar]
  122. Kühnhammer K., van Haren J., Kübert A., Bailey K., Dubbert M., Hu J., Ladd S.N., Meredith L.K., Werner C., Beyer M. (2023) Deep roots mitigate drought impacts on tropical trees despite limited quantitative contribution to transpiration. Science of the Total Environment, 893, 164763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Kullberg A.T., Feeley K.J. (2024) Seasonal acclimation of photosynthetic thermal tolerances in six woody tropical species along a thermal gradient. Functional Ecology, 38, 2493–2505. [Google Scholar]
  124. Kunert N., Hajek P., Hietz P., Morris H., Rosner S., Tholen D. (2021) Summer temperatures reach the thermal tolerance threshold of photosynthetic decline in temperate conifers. Plant Biology, 24, 1254–1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Kunert N., Münchinger I.K., Hajek P. (2026) Turgor loss point explains climate‐driven growth reductions in trees in Central Europe. Plant Biology, 28, 732–737. 10.1111/plb.13687 [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Ladd S.N., Daber L.E., Bamberger I., Kübert A., Kreuzwieser J., Purser G., Ingrisch J., Deleeuw J., Haren J., Meredith L.K., Werner C. (2023) Leaf‐level metabolic changes in response to drought affect daytime CO2 emission and isoprenoid synthesis pathways. Tree Physiology, 43, 1917–1932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Lantz A.T., Allman J., Weraduwage S.M., Sharkey T.D. (2019) Isoprene: New insights into the control of emission and mediation of stress tolerance by gene expression. Plant, Cell & Environment, 42, 2808–2826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Laoué J., Havaux M., Ksas B., Orts J.‐P., Reiter I.M., Fernandez C., Ormeno E. (2024) A decade of rain exclusion in a Mediterranean forest reveals trade‐offs of leaf chemical defenses and drought legacy effects. Scientific Reports, 14, 24119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Lemaire C., Quilichini Y., Brunel‐Michac N., Santini J., Berti L., Cartailler J., Conchon P., Badel É., Herbette S. (2021) Plasticity of the xylem vulnerability to embolism in Populus tremula × alba relies on pit quantity properties rather than on pit structure. Tree Physiology, 41, 1384–1399. [DOI] [PubMed] [Google Scholar]
  130. Li H., Si B., Wu P., McDonnell J.J. (2019) Water mining from the deep critical zone by apple trees growing on loess. Hydrological Processes, 33, 320–327. [Google Scholar]
  131. Limousin J.‐M., Roussel A., Rodríguez‐Calcerrada J., Torres‐Ruiz J.M., Moreno M., Garcia de Jalon L., Ourcival J.‐M., Simioni G., Cochard H., Martin‐StPaul N. (2022) Drought acclimation of Quercus ilex leaves improves tolerance to moderate drought but not resistance to severe water stress. Acta Amaz, 45, 1967–1984. [DOI] [PubMed] [Google Scholar]
  132. Lindberg N., Bengtsson J. (2006) Recovery of forest soil fauna diversity and composition after repeated summer droughts. Oikos, 114, 494–506. [Google Scholar]
  133. Lindberg N., Engtsson J.B., Persson T. (2002) Effects of experimental irrigation and drought on the composition and diversity of soil fauna in a coniferous stand. Journal of Applied Ecology, 39, 924–936. [Google Scholar]
  134. Lintunen A., Preisler Y., Oz I., Yakir D., Vesala T., Hölttä T. (2021) Bark transpiration rates can reach needle transpiration rates under dry conditions in a semi‐arid Forest. Frontiers in Plant Science, 12, 790684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  135. López J., Way D.A., Sadok W. (2021) Systemic effects of rising atmospheric vapor pressure deficit on plant physiology and productivity. Global Change Biology, 27, 1704–1720. [DOI] [PMC free article] [PubMed] [Google Scholar]
  136. Loreto F., Schnitzler J.‐P. (2010) Abiotic stresses and induced BVOCs. Trends in Plant Science, 15, 154–166. [DOI] [PubMed] [Google Scholar]
  137. Lv C., Wang C., Li Y., Zhou Z. (2023) Coordination among root exudation C, mycorrhizal colonization, and functional traits and their responses to drought in five temperate tree species. Forest Ecology and Management, 546, 121316. [Google Scholar]
  138. Mackay D.S., Savoy P.R., Grossiord C., Tai X., Pleban J.R., Wang D.R., McDowell N.G., Adams H.D., Sperry J.S. (2020) Conifers depend on established roots during drought: Results from a coupled model of carbon allocation and hydraulics. New Phytologist, 225, 679–692. [DOI] [PubMed] [Google Scholar]
  139. Makkonen R., Asmi A., Kerminen V.‐M., Boy M., Arneth A., Guenther A., Kulmala M. (2012) BVOC‐aerosol‐climate interactions in the global aerosol‐climate model ECHAM5.5‐HAM2. Atmospheric Chemistry and Physics, 12, 10077–10096. [Google Scholar]
  140. Marchin R.M., Broadhead A.A., Bostic L.E., Dunn R.R., Hoffmann W.A. (2016) Stomatal acclimation to vapour pressure deficit doubles transpiration of small tree seedlings with warming. Acta Amaz, 39, 2221–2234. [DOI] [PubMed] [Google Scholar]
  141. Martinez‐Ferri E., Balaguer L., Valladares F., Chico J.M., Manrique E. (2000) Energy dissipation in drought‐avoiding and drought‐tolerant tree species at midday during the Mediterranean summer. Tree Physiology, 20, 131–138. [DOI] [PubMed] [Google Scholar]
  142. Martínez‐Vilalta J., Cochard H., Mencuccini M., Sterck F., Herrero A., Korhonen J.F., Llorens P., Nikinmaa E., Nole A., Poyatos R. (2009) Hydraulic adjustment of scots pine across Europe. New Phytologist, 184, 353–364. [DOI] [PubMed] [Google Scholar]
  143. Mas E., Cochard H., Deluigi J., Didion‐Gency M., Martin‐StPaul N., Morcillo L., Valladares F., Vilagrosa A., Grossiord C. (2024) Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure. New Phytologist, 241, 1021–1034. [DOI] [PubMed] [Google Scholar]
  144. Mas E., Vilagrosa A., Morcillo L., Valladares F., Grossiord C. (2026) Mixing oak and pine trees in Mediterranean forests increases aboveground hydraulic dysfunctions. Plant Biology, 28, 935–945. 10.1111/plb.13716 [DOI] [PMC free article] [PubMed] [Google Scholar]
  145. Massmann A., Gentine P., Lin C. (2019) When does vapor pressure deficit drive or reduce evapotranspiration? Journal of Advances in Modeling Earth Systems, 11, 3305–3320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  146. McDowell N.G., Allen C.D. (2015) Darcy's law predicts widespread forest mortality under climate warming. Nature Climate Change, 5, 669–672. [Google Scholar]
  147. McDowell N.G., Sapes G., Pivovaroff A., Adams H.D., Allen C.D., Anderegg W.R.L., Arend M., Breshears D.D., Brodribb T., Choat B., Cochard H., de Cáceres M., de Kauwe M.G., Grossiord C., Hammond W.M., Hartmann H., Hoch G., Kahmen A., Klein T., Mackay D.S., Mantova M., Martínez‐Vilalta J., Medlyn B.E., Mencuccini M., Nardini A., Oliveira R.S., Sala A., Tissue D.T., Torres‐Ruiz J.M., Trowbridge A.M., Trugman A.T., Wiley E., Xu C. (2022) Mechanisms of woody‐plant mortality under rising drought, CO2 and vapour pressure deficit. Nature Reviews Earth and Environment, 3, 294–308. [Google Scholar]
  148. McDowell N.G., Sevanto S. (2010) The mechanisms of carbon starvation: How, when, or does it even occur at all? New Phytologist, 186, 264–266. [DOI] [PubMed] [Google Scholar]
  149. McLaughlin B.C., Blakey R., Weitz A.P., Feng X., Brown B.J., Ackerly D.D., Dawson T.E., Thompson S.E. (2020) Weather underground: Subsurface hydrologic processes mediate tree vulnerability to extreme climatic drought. Global Change Biology, 26, 3091–3107. [DOI] [PubMed] [Google Scholar]
  150. Medlyn B.E., Duursma R.A., Eamus D., Ellsworth D.S., Prentice I.C., Barton C.V.M., Crous K.Y., de Angelis P., Freeman M., Wingate L. (2011) Reconciling the optimal and empirical approaches to modelling stomatal conductance. Global Change Biology, 17, 2134–2144. [Google Scholar]
  151. Mehra P., Pandey B.K., Melebari D., Banda J., Leftley N., Couvreur V., Rowe J., Anfang M., de Gernier H., Morris E. (2022) Hydraulic flux–responsive hormone redistribution determines root branching. Science, 378, 762–768. [DOI] [PubMed] [Google Scholar]
  152. Meinzer F.C., James S.A., Goldstein G. (2004) Dynamics of transpiration, sap flow and use of stored water in tropical forest canopy trees. Tree Physiology, 24, 901–909. [DOI] [PubMed] [Google Scholar]
  153. Meinzer F.C., Woodruff D.R., Domec J.‐C., Goldstein G., Campanello P.I., Gatti M.G., Villalobos‐Vega R. (2008) Coordination of leaf and stem water transport properties in tropical forest trees. Oecologia, 156, 31–41. [DOI] [PubMed] [Google Scholar]
  154. Mekarni L., Cochard H., Lehmann M.M., Turberg P., Grossiord C. (2024) In vivo X‐ray microtomography locally affects stem radial growth with no immediate physiological impact. Plant Physiology, 196, 153–163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Millar C.I., Stephenson N.L. (2015) Temperate forest health in an era of emerging megadisturbance. Science, 349, 823–826. [DOI] [PubMed] [Google Scholar]
  156. Mills C., Bartlett M.K., Buckley T.N. (2024) The poorly‐explored stomatal response to temperature at constant evaporative demand. Acta Amaz, 47, 3428–3446. [DOI] [PubMed] [Google Scholar]
  157. Miranda A., Lara A., Altamirano A., Di Bella C., González M.E., Camarero J.J. (2020) Forest browning trends in response to drought in a highly threatened mediterranean landscape of South America. Ecological Indicators, 115, 106401. [Google Scholar]
  158. Monson R.K., Weraduwage S.M., Rosenkranz M., Schnitzler J.‐P., Sharkey T.D. (2021) Leaf isoprene emission as a trait that mediates the growth‐defense tradeoff in the face of climate stress. Oecologia, 197, 885–902. [DOI] [PubMed] [Google Scholar]
  159. Moore J.C. (2018) Predicting tipping points in complex environmental systems. Proceedings of the National Academy of Sciences, 115, 635–636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  160. Moravec V., Markonis Y., Rakovec O., Svoboda M., Trnka M., Kumar R., Hanel M. (2021) Europe under multi‐year droughts: How severe was the 2014–2018 drought period? Environmental Research Letters, 16, 34062. [Google Scholar]
  161. Muller J.D., Rotenberg E., Tatarinov F., Oz I., Yakir D. (2021) Evidence for efficient nonevaporative leaf‐to‐air heat dissipation in a pine forest under drought conditions. New Phytologist, 232, 2254–2266. [DOI] [PubMed] [Google Scholar]
  162. Muller J.D., Rotenberg E., Tatarinov F., Oz I., Yakir D. (2023) Detailed in situ leaf energy budget permits the assessment of leaf aerodynamic resistance as a key to enhance non‐evaporative cooling under drought. Acta Amaz, 46, 3128–3143. [DOI] [PubMed] [Google Scholar]
  163. Müller L.M., Bahn M. (2022) Drought legacies and ecosystem responses to subsequent drought. Global Change Biology, 28, 5086–5103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Nardini A., Tomasella M., Di Bert S. (2024) Bedrock: The hidden water reservoir for trees challenged by drought. Trees, 38, 1–11. [Google Scholar]
  165. Netherer S., Kandasamy D., Jirosová A., Kalinová B., Schebeck M., Schlyter F. (2021) Interactions among Norway spruce, the bark beetle Ips typographus and its fungal symbionts in times of drought. Journal of Pest Science, 94, 591–614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  166. Nickel U.T., Weikl F., Kerner R., Schäfer C., Kallenbach C., Munch J.C., Pritsch K. (2018) Quantitative losses vs. qualitative stability of ectomycorrhizal community responses to 3 years of experimental summer drought in a beech‐spruce forest. Global Change Biology, 24, e560–e576. [DOI] [PubMed] [Google Scholar]
  167. Nikolova P.S., Bauerle T.L., Häberle K.‐H., Blaschke H., Brunner I., Matyssek R. (2020) Fine‐root traits reveal contrasting ecological strategies in European beech and Norway spruce during extreme drought. Frontiers in Plant Science, 11, 1211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Noctor G., Mhamdi A., Foyer C.H. (2014) The roles of reactive oxygen metabolism in drought: Not so cut and dried. Plant Physiology, 164, 1636–1648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Novick K.A., Ficklin D.L., Grossiord C., Konings A.G., Martínez‐Vilalta J., Sadok W., Trugman A.T., Williams A.P., Wright A.J., Abatzoglou J.T. (2024) The impacts of rising vapour pressure deficit in natural and managed ecosystems. Acta Amaz, 47, 3561–3589. [DOI] [PubMed] [Google Scholar]
  170. Novick K.A., Ficklin D.L., Stoy P.C., Williams C.A., Bohrer G., Oishi A.C., Papuga S.A., Blanken P.D., Noormets A., Sulman B.N., Scott R.L., Wang L., Phillips R.P. (2016) The increasing importance of atmospheric demand for ecosystem water and carbon fluxes. Nature Climate Change, 6, 1023–1027. [Google Scholar]
  171. Oberleitner F., Hartmann H., Hasibeder R., Huang J., Losso A., Mayr S., Oberhuber W., Wieser G., Bahn M. (2022) Amplifying effects of recurrent drought on the dynamics of tree growth and water use in a subalpine forest. Plant, Cell & Environment, 45, 2617–2635. [DOI] [PubMed] [Google Scholar]
  172. Oliva Carrasco L., Bucci S.J., Di Francescantonio D., Lezcano O.A., Campanello P.I., Scholz F.G., Rodríguez S., Madanes N., Cristiano P.M., Hao G.‐Y., Holbrook N.M., Goldstein G. (2015) Water storage dynamics in the main stem of subtropical tree species differing in wood density, growth rate and life history traits. Tree Physiology, 35, 354–365. [DOI] [PubMed] [Google Scholar]
  173. Olson D.M., Dinerstein E., Wikramanayake E.D., Burgess N.D., Powell G.V., Underwood E.C., D'amico J.A., Itoua I., Strand H.E., Morrison J.C., Loucks C.J. (2001) Terrestrial ecoregions of the world: A new map of life on earth: A new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. Bioscience, 51, 933–938. 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2 [DOI] [Google Scholar]
  174. O'Sullivan O.S., Heskel M.A., Reich P.B., Tjoelker M.G., Weerasinghe L.K., Penillard A., Zhu L., Egerton J.J.G., Bloomfield K.J., Creek D., Bahar N.H.A., Griffin K.L., Hurry V., Meir P., Turnbull M.H., Atkin O.K. (2017) Thermal limits of leaf metabolism across biomes. Global Change Biology, 23, 209–223. [DOI] [PubMed] [Google Scholar]
  175. Penman H.L. (1948) Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, 193, 120–145. [DOI] [PubMed] [Google Scholar]
  176. Pfannerstill E.Y., Nölscher A.C., Yáñez‐Serrano A.M., Bourtsoukidis E., Keßel S., Janssen R.H.H., Tsokankunku A., Wolff S., Sörgel M., Sá M.O., Araújo A., Walter D., Lavrič J., Dias‐Júnior C.Q., Kesselmeier J., Williams J. (2018) Total OH reactivity changes over the Amazon rainforest during an El Niño event. Frontiers in Forests and Global Change, 1, 12. [Google Scholar]
  177. Pile L.S., Meyer M.D., Rojas R., Roe O., Smith M.T. (2019) Drought impacts and compounding mortality on forest trees in the southern Sierra Nevada. Forests, 10, 237. [Google Scholar]
  178. Pohl F., Werban U., Kumar R., Hildebrandt A., Rebmann C. (2023) Observational evidence of legacy effects of the 2018 drought on a mixed deciduous forest in Germany. Science Reports, 13, 10863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  179. Posch B.C., Bush S.E., Koepke D.F., Schuessler A., Anderegg L.L.D., Aparecido L.M.T., Blonder B.W., Guo J.S., Kerr K.L., Moran M.E. (2024) Intensive leaf cooling promotes tree survival during a record heatwave. Proceedings of the National Academy of Sciences, 121, e2408583121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  180. Pretzsch H., Schütze G., Uhl E. (2013) Resistance of European tree species to drought stress in mixed versus pure forests: Evidence of stress release by inter‐specific facilitation. Plant Biology, 15, 483–495. [DOI] [PubMed] [Google Scholar]
  181. Prieto I., Armas C., Pugnaire F.I. (2012) Water release through plant roots: New insights into its consequences at the plant and ecosystem level. New Phytologist, 193, 830–841. [DOI] [PubMed] [Google Scholar]
  182. R Core Team (2024) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. [Google Scholar]
  183. Radolinski J., Vremec M., Wachter H., Birk S., Brüggemann N., Herndl M., Kahmen A., Nelson D.B., Kübert A., Schaumberger A., Stumpp C., Tissink M., Werner C., Bahn M. (2025) Drought in a warmer, CO2‐rich climate restricts grassland water use and soil water mixing. Science, 387, 290–296. [DOI] [PubMed] [Google Scholar]
  184. Rakovec O., Samaniego L., Hari V., Markonis Y., Moravec V., Thober S., Hanel M., Kumar R. (2022) The 2018–2020 multi‐year drought sets a new benchmark in Europe. Earth's Future, 10, e2021EF002394. [Google Scholar]
  185. Rennenberg H., Loreto F., Polle A., Brilli F., Fares S., Beniwal R.S., Gessler A. (2006) Physiological responses of forest trees to heat and drought. Plant Biology, 8, 556–571. [DOI] [PubMed] [Google Scholar]
  186. Resco de Dios V., Chowdhury F.I., Granda E., Yao Y., Tissue D.T. (2019) Assessing the potential functions of nocturnal stomatal conductance in C3 and C4 plants. New Phytologist, 223, 1696–1706. [DOI] [PubMed] [Google Scholar]
  187. Rosas T., Mencuccini M., Barba J., Cochard H., Saura‐Mas S., Martínez‐Vilalta J. (2019) Adjustments and coordination of hydraulic, leaf and stem traits along a water availability gradient. New Phytologist, 223, 632–646. [DOI] [PubMed] [Google Scholar]
  188. Ruehr N.K., Nadal‐Sala D. (2026) Legacies from early‐season hot drought: How growth cessation alters tree water dynamics and modifies stress responses in scots pine. Plant Biology, 28, 610–621. 10.1111/plb.13760 [DOI] [PMC free article] [PubMed] [Google Scholar]
  189. Sachsenmaier L., Schnabel F., Dietrich P., Eisenhauer N., Ferlian O., Quosh J., Richter R., Wirth C. (2024) Forest growth resistance and resilience to the 2018–2020 drought depend on tree diversity and mycorrhizal type. Journal of Ecology, 112, 1787–1803. [Google Scholar]
  190. Saurer M., Spahni R., Frank D.C., Joos F., Leuenberger M., Loader N.J., McCarroll D., Gagen M., Poulter B., Siegwolf R.T.W. (2014) Spatial variability and temporal trends in water‐use efficiency of European forests. Global Change Biology, 20, 3700–3712. [DOI] [PubMed] [Google Scholar]
  191. Schmied G., Kappen J., Del Río M., Moser W.K., Gundale M.J., Hilmers T., Ambs D., Uhl E., Pretzsch H. (2026) Positive mixture effects in pine‐oak forests during drought are context‐dependent. Plant Biology, 28, 950–965. 10.1111/plb.70030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  192. Schmied G., Pretzsch H., Ambs D., Uhl E., Schmucker J., Fäth J., Biber P., Hoffmann Y.‐D., Šeho M., Mellert K.H., Hilmers T. (2023) Rapid beech decline under recurrent drought stress: Individual neighborhood structure and soil properties matter. Forest Ecology and Management, 545, 121305. [Google Scholar]
  193. Schönbeck L.C., Schuler P., Lehmann M.M., Mas E., Mekarni L., Pivovaroff A.L., Turberg P., Grossiord C. (2022) Increasing temperature and vapour pressure deficit lead to hydraulic damages in the absence of soil drought. Acta Amaz, 45, 3275–3289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  194. Schwalm C.R., Anderegg W.R.L., Michalak A.M., Fisher J.B., Biondi F., Koch G., Litvak M., Ogle K., Shaw J.D., Wolf A., Huntzinger D.N., Schaefer K., Cook R., Wei Y., Fang Y., Hayes D., Huang M., Jain A., Tian H. (2017) Global patterns of drought recovery. Nature, 548, 202–205. [DOI] [PubMed] [Google Scholar]
  195. Schymanski S.J., Or D., Zwieniecki M. (2013) Stomatal control and leaf thermal and hydraulic capacitances under rapid environmental fluctuations. PLoS One, 8, e54231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  196. Seidl R., Thom D., Kautz M., Martin‐Benito D., Peltoniemi M., Vacchiano G., Wild J., Ascoli D., Petr M., Honkaniemi J. (2017) Forest disturbances under climate change. Nature Climate Change, 7, 395–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  197. Seneviratne S.I., Ciais P. (2017) Trends in ecosystem recovery from drought. Nature, 548, 164–165. [DOI] [PubMed] [Google Scholar]
  198. Seneviratne S.I., Zhang X., Adnan M., Badi W., Dereczynski C., Di Luca A., Ghosh S., Iskandar I., Kossin J., Lewis S. (2021) Weather and climate extreme events in a changing climate.
  199. Senf C., Seidl R. (2021) Persistent impacts of the 2018 drought on forest disturbance regimes in Europe. Biogeosciences, 18, 5223–5230. [Google Scholar]
  200. Sindelarova K., Granier C., Bouarar I., Guenther A., Tilmes S., Stavrakou T., Müller J.‐F., Kuhn U., Stefani P., Knorr W. (2014) Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years. Atmospheric Chemistry and Physics, 14, 9317–9341. [Google Scholar]
  201. Slot M., Rifai S.W., Winter K. (2021) Photosynthetic plasticity of a tropical tree species, Tabebuia rosea, in response to elevated temperature and [CO2]. Acta Amaz, 44, 2347–2364. [DOI] [PubMed] [Google Scholar]
  202. Smith A.P., Bond‐Lamberty B., Benscoter B.W., Tfaily M.M., Hinkle C.R., Liu C., Bailey V.L. (2017) Shifts in pore connectivity from precipitation versus groundwater rewetting increases soil carbon loss after drought. Nature Communications, 8, 1335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  203. Still C.J., Sibley A., DePinte D., Busby P.E., Harrington C.A., Schulze M., Shaw D.R., Woodruff D., Rupp D.E., Daly C., Hammond W.M., Page G.F.M. (2023) Causes of widespread foliar damage from the June 2021 Pacific northwest heat dome: More heat than drought. Tree Physiology, 43, 203–209. [DOI] [PubMed] [Google Scholar]
  204. Tardieu F., Simonneau T. (1998) Variability among species of stomatal control under fluctuating soil water status and evaporative demand: Modelling isohydric and anisohydric behaviours. Journal of Experimental Botany, 49, 419–432. [Google Scholar]
  205. Tomasella M., Häberle K.‐H., Nardini A., Hesse B., Machlet A., Matyssek R. (2017) Post‐drought hydraulic recovery is accompanied by non‐structural carbohydrate depletion in the stem wood of Norway spruce saplings. Scientific Reports, 7, 14308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  206. Trueba S., Muñoz N.G., Burlett R., Lamarque L.J., Gibon Y., Gimeno T.E., Kaisermann A., Benard C., Lemaire C., Torres‐Ruiz J.M., Wingate L., Delzon S. (2024) The rates of starch depletion and hydraulic failure both play a role in drought‐induced seedling mortality. Annals of Forest Science, 81, 27. [Google Scholar]
  207. Usman M., Ho‐Plágaro T., Frank H.E.R., Calvo‐Polanco M., Gaillard I., Garcia K., Zimmermann S.D. (2021) Mycorrhizal symbiosis for better adaptation of trees to abiotic stress caused by climate change in temperate and boreal forests. Frontiers in Forests and Global Change, 4, 742392. [Google Scholar]
  208. Velikova V., Sharkey T.D., Loreto F. (2012) Stabilization of thylakoid membranes in isoprene‐emitting plants reduces formation of reactive oxygen species. Plant Signaling & Behavior, 7, 139–141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Vicente‐Serrano S.M., Beguería S., López‐Moreno J.I., Angulo M., El Kenawy A. (2010a) A new global 0.5 gridded dataset (1901–2006) of a multiscalar drought index: Comparison with current drought index datasets based on the palmer drought severity index. Journal of Hydrometeorology, 11, 1033–1043. [Google Scholar]
  210. Vicente‐Serrano S.M., Camarero J.J., Azorin‐Molina C. (2014) Diverse responses of forest growth to drought time‐scales in the northern hemisphere. Global Ecology and Biogeography, 23, 1019–1030. [Google Scholar]
  211. Vicente‐Serrano S.M., Peña‐Angulo D., Beguería S., Domínguez‐Castro F., Tomás‐Burguera M., Noguera I., Gimeno‐Sotelo L., El Kenawy A. (2022) Global drought trends and future projections. Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 380, 20210285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  212. Walthert L., Ganthaler A., Mayr S., Saurer M., Waldner P., Walser M., Zweifel R., von Arx G. (2021) From the comfort zone to crown dieback: Sequence of physiological stress thresholds in mature European beech trees across progressive drought. Science of the Total Environment, 753, 141792. [DOI] [PubMed] [Google Scholar]
  213. Wang C., Sun Y., Chen H.Y., Yang J., Ruan H. (2021) Meta‐analysis shows non‐uniform responses of above‐ and belowground productivity to drought. Science of the Total Environment, 782, 146901. [DOI] [PubMed] [Google Scholar]
  214. Wang S., Hoch G., Grun G., Kahmen A. (2024) Water loss after stomatal closure: Quantifying leaf minimum conductance and minimal water use in nine temperate European tree species during a severe drought. Tree Physiology, 44, tpae027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  215. Wankmüller F.J.P., Delval L., Lehmann P., Baur M.J., Cecere A., Wolf S., Or D., Javaux M., Carminati A. (2024) Global influence of soil texture on ecosystem water limitation. Nature, 635, 631–638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  216. Weikl F.C., Grams T.E.E., Pritsch K. (2023) Responses of root‐associated fungal communities of mature beech and spruce during five years of experimental drought. bioRxiv. 10.1101/2023.09.24.559161 [DOI]
  217. Weithmann G., Schuldt B., Link R.M., Heil D., Hoeber S., John H., Müller‐Haubold H., Schüller L.‐M., Schumann K., Leuschner C. (2022) Leaf trait modification in European beech trees in response to climatic and edaphic drought. Plant Biology, 24, 1272–1286. [DOI] [PubMed] [Google Scholar]
  218. Werner C., Correia O., Beyschlag W. (1999) Two different strategies of Mediterranean macchia plants to avoid photoinhibitory damage by excessive radiation levels during summer drought. Acta Oecologica, 20, 15–23. 10.1016/S1146-609X(99)80011-3 [DOI] [Google Scholar]
  219. Werner C., Fasbender L., Romek K.M., Yáñez‐Serrano A.M., Kreuzwieser J. (2020) Heat waves change plant carbon allocation among primary and secondary metabolism altering CO2 assimilation, respiration, and VOC emissions. Frontiers in Plant Science, 11, 1242. DOI:10.3389/fpls.2020.01242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  220. Werner C., Meredith L.K., Ladd S.N., Ingrisch J., Kübert A., van Haren J., Bahn M., Bailey K., Bamberger I., Beyer M., Blomdahl D., Byron J., Daber E., Deleeuw J., Dippold M.A., Fudyma J., Gil‐Loaiza J., Honeker L.K., Hu J., Huang J., Klüpfel T., Krechmer J., Kreuzwieser J., Kühnhammer K., Lehmann M.M., Meeran K., Misztal P.K., Ng W.‐R., Pfannerstill E., Pugliese G., Purser G., Roscioli J., Shi L., Tfaily M., Williams J. (2021) Ecosystem fluxes during drought and recovery in an experimental forest. Science, 374, 1514–1518. https://www.science.org/doi/10.1126/science.abj6789 [DOI] [PubMed] [Google Scholar]
  221. Werner C., Ryel R.J., Correia O., Beyschlag W. (2001) Effects of photoinhibition on whole‐plant carbon gain assessed with a photosynthesis model. Plant, Cell & Environment, 24, 27–40. 10.1046/j.1365-3040.2001.00651.x [DOI] [Google Scholar]
  222. Werner C., Wallrabe U., Christen A., Comella L., Dormann C., Göritz A., Grote R., Haberstroh S., Jouda M., Kiese R., Koch B., Korvink J., Kreuzwieser J., Lang F., Müller J., Prucker O., Reiterer A., Rühe J., Rupitsch S., Schack‐Kirchner H., Schmitt K., Stobbe N., Weiler M., Woias P., Wöllenstein J. (2024) ECOSENSE—multi‐scale quantification and modelling of spatio‐temporal dynamics of ecosystem processes by smart autonomous sensor networks. RIO, 10, e129357. 10.3897/rio.10.e129357 [DOI] [Google Scholar]
  223. Winter K. (2024) Are tropical forests approaching critical temperature thresholds? Plant Biology, 26, 495–498. [DOI] [PubMed] [Google Scholar]
  224. Wolf A., Anderegg W.R.L., Pacala S.W. (2016) Optimal stomatal behavior with competition for water and risk of hydraulic impairment. Proceedings of the National Academy of Sciences, 113, E7222–E7230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  225. Xie J., Wang Z., Li Y. (2022) Stomatal opening ratio mediates trait coordinating network adaptation to environmental gradients. New Phytologist, 235, 907–922. [DOI] [PubMed] [Google Scholar]
  226. Yáñez‐Serrano A.M., Mahlau L., Fasbender L., Byron J., Williams J., Kreuzwieser J., Werner C. (2019) Heat stress increases the use of cytosolic pyruvate for isoprene biosynthesis. Journal of Experimental Botany, 70, 5827–5838. [DOI] [PMC free article] [PubMed] [Google Scholar]
  227. Yu X., Orth R., Reichstein M., Bahn M., Klosterhalfen A., Knohl A., Koebsch F., Migliavacca M., Mund M., Nelson J.A., Stocker B.D., Walther S., Bastos A. (2022) Contrasting drought legacy effects on gross primary productivity in a mixed versus pure beech forest. Biogeosciences, 19, 4315–4329. [Google Scholar]
  228. Yuan W., Zheng Y., Piao S., Ciais P., Lombardozzi D., Wang Y., Ryu Y., Chen G., Dong W., Hu Z., Jain A.K., Jiang C., Kato E., Li S., Lienert S., Liu S., Nabel J.E.M.S., Qin Z., Quine T., Sitch S., Smith W.K., Wang F., Wu C., Xiao Z., Yang S. (2019) Increased atmospheric vapor pressure deficit reduces global vegetation growth. Science Advances, 5, eaax1396. [DOI] [PMC free article] [PubMed] [Google Scholar]
  229. Zellweger F., de Frenne P., Lenoir J., Vangansbeke P., Verheyen K., Bernhardt‐Römermann M., Baeten L., Hédl R., Berki I., Brunet J., van Calster H., Chudomelová M., Decocq G., Dirnböck T., Durak T., Heinken T., Jaroszewicz B., Kopecký M., Máliš F., Macek M., Malicki M., Naaf T., Nagel T.A., Ortmann‐Ajkai A., Petřík P., Pielech R., Reczyńska K., Schmidt W., Standovár T., Świerkosz K., Teleki B., Vild O., Wulf M., Coomes D. (2020) Forest microclimate dynamics drive plant responses to warming. Science, 368, 772–775. [DOI] [PubMed] [Google Scholar]
  230. Zeppel M.J., Lewis J.D., Phillips N.G., Tissue D.T. (2014) Consequences of nocturnal water loss: A synthesis of regulating factors and implications for capacitance, embolism and use in models. Tree Physiology, 34, 1047–1055. [DOI] [PubMed] [Google Scholar]
  231. Zhang Q., Shao M., Jia X., Zhang C. (2018) Understory vegetation and drought effects on soil aggregate stability and aggregate‐associated carbon on the loess plateau in China. Soil Science Society of America Journal, 82, 106–114. [Google Scholar]
  232. Zhang S., Yang Y., Wu X., Li X., Shi F. (2021) Postdrought recovery time across global terrestrial ecosystems. Journal of Geophysical Research: Biogeosciences, 126, e2020JG005699. [Google Scholar]
  233. Zhu L., Bloomfield K.J., Hocart C.H., Egerton J.J.G., O'Sullivan O.S., Penillard A., Weerasinghe L.K., Atkin O.K. (2018) Plasticity of photosynthetic heat tolerance in plants adapted to thermally contrasting biomes. Acta Amaz, 41, 1251–1262. [DOI] [PubMed] [Google Scholar]
  234. Ziemińska K., Rosa E., Gleason S.M., Holbrook N.M. (2020) Wood day capacitance is related to water content, wood density, and anatomy across 30 temperate tree species. Plant, Cell & Environment, 43, 3048–3067. [DOI] [PubMed] [Google Scholar]
  235. Zscheischler J., Seneviratne S.I. (2017) Dependence of drivers affects risks associated with compound events. Science Advances, 3, e1700263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  236. Zwetsloot M.J., Bauerle T.L. (2021) Repetitive seasonal drought causes substantial species‐specific shifts in fine‐root longevity and spatio‐temporal production patterns in mature temperate forest trees. New Phytologist, 231, 974–986. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Gridded data for Tmax, Tmin and AVP are available from the Climate Research Unit (CRU v. 4.08; University of East Anglia) and NCAS (Harris et al2014, 2020) and can be downloaded via the CEDA archive (https://data.ceda.ac.uk/badc/cru/data/cru_ts/cru_ts_4.08). Gridded data for SPEI6 are available from the global SPEI database (v. 2.9) (Beguería et al2010a, 2014; Vicente‐Serrano et al2010a) and can be downloaded via the global SPEI database (https://spei.csic.es/database.html). Shapefiles for the biomes in Fig. 1 can be downloaded from https://ecoregions.appspot.com/. The shapefile for Europe can be accessed at Natural Earth (https://www.naturalearthdata.com/).


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