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. 2017 Feb 10;7:42085. doi: 10.1038/srep42085

Speed versus endurance tradeoff in plants: Leaves with higher photosynthetic rates show stronger seasonal declines

Yong-Jiang Zhang 1,2,3,a,*, Lawren Sack 4,*, Kun-Fang Cao 5,*, Xue-Mei Wei 6, Nan Li 6
PMCID: PMC5301202  PMID: 28186201

Abstract

We tested for a tradeoff across species between plant maximum photosynthetic rate and the ability to maintain photosynthesis under adverse conditions in the unfavorable season. Such a trade-off would be consistent with the observed trade-off between maximum speed and endurance in athletes and some animals that has been explained by cost-benefit theory. This trend would have importance for the general understanding of leaf design, and would simplify models of annual leaf carbon relations. We tested for such a trade-off using a database analysis across vascular plants and using an experimental approach for 29 cycad species, representing an ancient plant lineage with diversified evergreen leaves. In both tests, a higher photosynthetic rate per mass or per area in the favorable season was associated with a stronger absolute or percent decline in the unfavorable season. We resolved a possible mechanism based on biomechanics and nitrogen allocation; cycads with high leaf toughness (leaf mass per area) and higher investment in leaf construction than in physiological function (C/N ratio) tended to have lower warm season photosynthesis but less depression in the cool season. We propose that this trade-off, consistent with cost-benefit theory, represents a significant physio-phenological constraint on the diversity and seasonal dynamics of photosynthetic rate.


Photosynthetic capacity is the fundamental determinant of plant carbon gain and growth, and in most species shows pronounced seasonal dynamics, declining in the dry season or cool season. Further, the degree of seasonal decline in photosynthetic rate is highly variable among species within and across biomes1,2. Many studies of the seasonal dynamics of photosynthesis have related variation to xylem water transport, enzyme activity, mesophyll conductance, stomatal conductance, and electron transport efficiency2,3,4,5. However, studies of general leaf design principles or tradeoffs that regulate the seasonal dynamics of photosynthesis have been lacking though they will be fundamental for predicting the response of plants to a future with increased climate extremes. Here we test a novel hypothesis for a tradeoff between photosynthetic capacity and its maintenance into unfavorable conditions.

A tradeoff between maximum performance (e.g., speed) and endurance is found in athletes6 and some animals7,8. Similarly, a tradeoff between leaf photosynthetic capacity (performance) and its maintenance in adverse seasonal conditions (endurance) would be expected based on cost-benefit theory9. Indeed, an analogous trade-off is well-recognized between leaf photosynthetic capacity and leaf longevity across diverse species and plant communities worldwide10,11,12. According to a now-classic analysis9, a trade-off between maximum photosynthetic performance under high resource conditions and the ability to maintain performance under low resource conditions would lead to variation in leaf longevity, such that leaves with higher performance under high resource conditions would have shorter lifetimes than those able to maintain performance under lower resource conditions, and which therefore invested in cell and tissue-level mechanisms to support an extended lifetime. Indeed, across species of angiosperms and gymnosperms, tough leaves adapted to resist environmental stress and herbivores have higher investment in leaf construction, i.e., in leaf mass per area (LMA), typically reflecting a thicker leaf with higher fiber content, greater mass density, low N concentration, and higher N allocation to cell wall13,14. These modifications tend to increase leaf longevity but result in low maximum photosynthetic rates per leaf area and per mass because of lower total concentration of N on an area and mass basis, lower allocation of N to photosynthetic machinery, and thicker cell walls resulting in higher diffusion resistance to CO2 to the chloroplasts11,15,16,17,18. Precisely the same logic would lead to the expectation of a negative relationship between maximum photosynthetic rate in the favorable season and the ability to maintain photosynthetic rate in the unfavorable season, a pattern that would have important implications, though this has not previously been tested to our knowledge.

Here we test this hypothesis first using published data for 36 evergreen angiosperm and conifer species from 22 studies across the temperate zone (Table S1). Second, we conducted a common garden experiment to minimize the influence of diverse growing conditions with 29 cycad species in two gardens with a pronounced cool season and substantial chilling temperatures (Fig. S1, Materials and Methods): Xishuangbanna Tropical Botanical Garden (XTBG) and Fairylake Botanical Garden (FBG), Southern China (Table S2). Cycads represent a useful platform for testing the generality of leaf trait relationships especially as they have been found to converge with angiosperms in leaf design relationships, such as the relationship of photosynthetic rate and nutrient concentrations with LMA19. Notably, a tradeoff between photosynthetic capacity and the maintenance of photosynthesis in the unfavorable season might be difficult to resolve across species with relatively short leaf lifespans if photosynthetic depression in the unfavorable season coincides with the effects of ontogeny on leaf structure and photosynthetic rate20. Cycads tend to have long leaf lifespans and a diversity of leaf morphology, structure, and photosynthetic capacity19,21, and thus represent an ideal system for testing this leaf design hypothesis.

Results and Discussion

We found strong support for the hypothesized tradeoff between maximum photosynthetic rate in the favorable season and the ability to maintain photosynthesis seasonally in both the analysis of published data for conifers and angiosperms and the experimental study on cycads. The analysis of published data for conifers and angiosperms showed that leaf light-saturated net photosynthetic rate per leaf area (Aa) in the favorable season was positively correlated with the absolute or relative (percentage) decline of leaf light-saturated net photosynthetic rate per leaf area (Aa) in the unfavorable season (Fig. 1a,b). The relationships remained when plants were separated into the groups experiencing photosynthetic decline due to summer drought or winter cold (Fig. 1c,d,e,f).

Figure 1. The relationship between maximum photosynthetic performance and seasonal maintenance in the unfavorable season in seed plants (compiled data).

Figure 1

(a) Absolute or (b) relative (percent) seasonal decrease in net photosynthetic rates (Aa) in relation to Aa in the relatively favorable season (Summer or wet season). Absolute (c) or relative (percent) (d) dry season decrease in Aa in relation to wet season/winter Aa. Absolute (e) or relative (percent) (f) winter decrease in Aa in relation to summer Aa. Data are compiled from the literature (Table S1). Lines are standardized major axis (SMA) lines fitted to the data.

The hypothesized tradeoff between maximum photosynthetic rate in the favorable season and the ability to maintain photosynthesis through the unfavorable season was further confirmed in the experimental study across cycad species. Like many tropical and subtropical species that are chilling sensitive2,4, even when well-watered, cycads at our study sites show seasonal declines in leaf light-saturated net photosynthetic rate per leaf area or mass (Aa, Am) and stomatal conductance (gs) in the cool season relative to the warm season (Fig. S2, S3), with strong species variation within each season and in the responses to season (P < 0.001 for season and species effects, and P < 0.001 for the species × season interaction; repeated-measures ANOVA). The decline of Aa in the cool season was positively related with the Aa measured during the warm season (Fig. 2a); species with higher photosynthesis showed stronger seasonal lows in the cool season. This positive relationship was stronger when photosynthetic rate was expressed per unit leaf mass (Fig. 2b). The decrease in A expressed in relative terms (i.e., the % decline) was also positively related to Aa measured during the warm season (Fig. 2c). Similarly, the seasonal decline of stomatal conductance (gs) in cycads was associated with the warm season gs across species (Fig. 3). Cycads from XTBG and FBG followed the same general trend, and because of the higher warm season gs and higher seasonal decline of gs in XTBG than in FBG (Fig. S4), there were significant differences in slope (Fig. 3a) or intercept (Fig. 3b) of the relationships among these variables between the two study sites (see additional discussion on differences between two sites in the Supplementary Information).

Figure 2. The relationship between maximum photosynthetic performance and seasonal maintenance into the cool season in cycads.

Figure 2

(a) The relationships between seasonal decrease in net photosynthetic rate per unit leaf area (Aa) and warm season Aa (a), between seasonal decrease in net photosynthetic rate per unit leaf mass (Am) and warm season Am (b), and between percent seasonal decrease in photosynthetic rate (A) and warm season Aa (c). Points denote means ± SEs. Red points represent cycads in Fairylake Botanical Garden (FBG), while green points cycads in Xishuangbanna Tropical Botanical Garden (XTBG). The black lines are standardized major axis (SMA) lines fitted to all the points. The red line is a SMA line fitted to the species in FBG, while green line species in XTBG. *P < 0.05; **P < 0.01; ***P < 0.001. Photo credit: Y-J Zhang.

Figure 3.

Figure 3

The relationships between seasonal decrease in stomatal conductance (gs) and gs (a), and between percent seasonal decrease in gs and warm season gs (b). Points denote means ± SEs. Red points represent cycads in Fairylake Botanical Garden (FBG), while green points cycads in Xishuangbanna Tropical Botanical Garden (XTBG). The red lines are standardized major axis (SMA) lines fitted to the species in FBG, while green lines species in XTBG. *P < 0.05; **P < 0.01; ***P < 0.001. Photo credit: Y-J Zhang.

Thus, our study provides strong evidence for a general tradeoff across species between light-saturated photosynthetic rate in the favorable season, and the ability to maintain photosynthesis in the relatively unfavorable season. This tradeoff implies a constraint in leaf physiology that is consistent in its logic and potentially in mechanistic basis with the well-recognized tradeoff observed across species between maximum photosynthetic rate and leaf lifespan9,10,11,12. Moreover, this tradeoff is a factor that would contribute to diversification of maximum photosynthetic rates across species, such that species with lower rates can compensate to some degree with photosynthetic maintenance across seasons. This tradeoff was more pronounced in the meta-analysis than the common garden study, consistent with the greater variation in Aa and its seasonal decline across the phylogenetically diverse species of seed plants in the meta-analysis. Further, the tradeoff was stronger when expressed per unit leaf mass in the common garden study, consistent with the hypothesis that mass-based traits reflect leaf economics (i.e., leaf construction cost and lifetime carbon return) more closely than area-based traits22. While our meta-analysis included only evergreen seed plants and all cycads are evergreen, the trade-off we highlighted would encompass plants of all leaf lifespans, including deciduous. Just as deciduous species tend on average to have higher photosynthetic rates during the growing season than evergreen species23, they have drastic declines in photosynthetic rates in the unfavorable season (to negligible levels, i.e., only that achieved by photosynthetic stems).

The mechanistic basis for this tradeoff may relate in part to leaf biomass investment per leaf area (LMA) and relative investment in construction and physiological function (C/N). High biomass investment in leaf thickness and/or compactness, and in high fiber, lignin, and structural components are associated with resistance to drought, freezing, and chilling24,25,26, but on the other hand this allocation of dry mass to structure “dilutes” (i.e., decreases the mass concentration of) the photosynthetic apparatus10 and increases the diffusion resistance of CO2 to the chloroplasts11,15,16,17,18, resulting in a low photosynthetic performance per unit leaf area and leaf mass. We found support for that hypothesis in our common study for cycads. High leaf mass per area (LMA) and C/N ratio in cycads were associated with low net photosynthetic rate per unit leaf mass (Am) (Fig. 4a,b), and also to lower absolute or relative seasonal declines in Am (Fig. 4c–f). Notably, caution is needed when interpreting the relationship between Am and LMA (Fig. 4a) as Am is calculated as Aa divided by LMA, which raises the issue of non-independence. Yet, the LMA is expected to be one among a suite of traits involved in the balance between maximum photosynthetic rate and its maintenance in unfavorable conditions. While a higher LMA is associated with chilling resistance and low growing temperatures25,27, its direct or indirect mechanistic contribution to tolerance of photosynthesis to low temperature requires further study. In addition, this tradeoff could arise in part from variation in relative investment in biochemical chilling resistance. Chilling resistance is related to the desaturation degree of the membrane fatty acids28, high plasticity of photochemistry29, compatible solute concentration30, and proteins related to soluble sugar synthesis and antioxidant processes31, all of which may potentially decrease the nutrient investment in photosynthetic capacity and contribute to the formation of the trade-off between maximum performance and seasonal maintenance. Additionally, leaves with high photosynthetic capacity generally require high water transport to meet the associated high transpirational demand, which may be associated with greater vulnerability to loss of hydraulic conductance and larger declines in photosynthesis under adverse conditions32.

Figure 4.

Figure 4

Warm season net photosynthetic rate per unit leaf mass (Am; a,b), seasonal decrease in Am (c,d), and relative (percent) seasonal decrease in Am (e,f) in relation to leaf mass per area (LMA) and leaf C/N ratio. Points denote means ± SEs. Red points represent cycads in Fairylake Botanical Garden (FBG), while green points cycads in Xishuangbanna Tropical Botanical Garden (XTBG).The black lines are exponential relationships (a,b) fitted to all the points. The green lines are standardized major axis lines (c,d,e,f) fitted to the species in XTBG. *P < 0.05; **P < 0.01. Caution is needed when interpreting the r2 value in (a) as Am is calculated as photosynthetic rate per area (Aa) divided by LMA, which raises the issue of non-independence. Photo credit: Y-J Zhang.

The tradeoff between maximum photosynthetic performance and the ability to maintain gas exchange in the unfavorable season in seed plants is consistent and extends cost-benefit theory as applied to plant physiology and ecology. This pattern extends the well-known tradeoff between maximum photosynthetic rate and leaf toughness/leaf lifespan to a different scale—that of leaf functional maintenance throughout the year. This trade-off implies a key constraint in leaf physiology, which would contribute to the diversification of maximum photosynthetic rates across species. These relationships can be used to generate hypotheses for seasonal patterns in photosynthesis based on a species’ maximum photosynthetic rate in the favorable season. For example, these relationships lead to the hypothesis that species with higher maximum photosynthetic rates would show stronger declines with stresses associated with ongoing climate change. Testing these implications and potential applications of this trade-off opens new avenues for further studies of the phenology of plant physiology in plants across lineages and ecosystems.

Materials and Methods

Analysis of published data to test for a tradeoff between maximum photosynthetic capacity and its seasonal maintenance in seed plants

We compiled a dataset for seasonal dynamics in light saturated photosynthetic CO2 assimilation (Aa; μmol·m–2·s–1) of for evergreen seed plants including angiosperms and conifers from published studies of temperate sites around the world (see Table S1 in Supporting Information); data compilation followed Granda et al.5, which analyzed seasonal trends in daily stomatal conductance, chlorophyll fluorescence and stem xylem hydraulic conductance. For consistency, we selected only data for plants under natural conditions measured in the morning. Our compiled database included 62 data points for 36 species in given locations from 22 studies (see Table S1 in Supplementary Information). We distinguished sites with two types of major seasonal stresses (drought or low temperatures) that resulted in seasonal declines in Aa. For the sites without summer drought, summer was defined as the favorable season and winter as the unfavorable season; Aa generally declined distinctly in the winter. For the sites with a pronounced summer dry season, and which generally had higher Aa in the winter than in summer, the wet season/winter was defined as the favorable season and the dry season/summer as the unfavorable season. We analyzed data for these two types of sites separately, and combined.

Common garden study of cycads: study sites and plant material

The study was performed in two tropical botanical gardens in southern China with similar climates: Xishuangbanna Tropical Botanical Garden (XTBG; 21°41′N, 101°25′E, elevation 570 m) in Mengla, Yunnan Province, and Fairylake Botanical Garden (FBG; 22°34′N, 114°10′E, elevation 100–130 m) in Shenzhen, Guangdong Province. Mean annual temperature and mean annual precipitation at XTBG and FBG are 21.7 °C and 1560 mm, and 22.4 °C and 1933 mm, respectively (data from Xishuangbanna Station for Tropical Rain Forest Ecosystem Studies and Shenzhen Weather Station). At both sites about 80% of the rainfall occurs during the warm rainy season in May–October, with a dry, cool season in November–April (Fig. S1), during which the average daily minimum temperature is approximately 14 °C (Fig. S1). Ambient maximum photosynthetic photon flux density on sunny days (PPFD) in warm and cool season is around 2200 and 1650 μmol m−2s−1, respectively. Total daily net radiation in warm and cool season is 30 and 32 mol m−2 day−1, respectively, and lower in warm season due to more rain events. The soil of the Cycad Garden at XTBG is sandy alluvium and the soil of the National Cycad Germplasm Conservation Center at FBG is yellow soil33,34. Plants were kept well supplied with water throughout the year by frequent irrigation. We conducted the physiological measurements at XTBG in the cool season and warm season of 2009, and at FBG in the warm season of 2011 and the cool season of 2012. While the time elapsed between seasons results in uncertainty in resolving the effects of seasonality relative to aging, given the long leaf lifespan of cycads35,36, the effect of leaf aging on photosynthetic rate was expected to be minor relative to seasonal influences. Further, conducting measurements in the cool season followed by warm season at FBG, but in the warm season followed by cool season at XTBG, was expected to highlight any existing aging effects.

A common garden approach with plant materials from different habitats allows assessment of trait correlations controlled by genetic factors37. We selected 29 cycad species from seven genera within two families for the common garden study. Ten species were in the genus Cycas (family Cycadaceae), and 19 species in the genera Ceratozamia, Dioon, Encephalartos, Lepidozamia, Macrozamia, and Zamia (family Zamiaceae) (Table S2). All common garden species studied were in sun-exposed environments, and shaded plants (cycad species that do not grow well in sun-exposed habitats) were not selected for the present study.

Common garden study of cycads: measurements of leaf physiology and structure

Previously published values for warm season Aa, Am, gs, and LMA of the cycad species19 were combined with cool season measurements for this study. Sun-exposed healthy and mature individuals were used for physiological measurements. Six mature leaves (at least one-year-old) from three to six individuals per species were selected for the measurements, with the same individuals sampled for warm and cool season measurements. We aimed at characterizing leaf level performance and leaf design principles, and therefore individual leaves were treated as replicates for the physiological measurements and the statistical analyses. For each leaf, one leaflet was measured; leaflets were considered as the unit for measurement, being developmentally and functionally analogous to simple leaves or leaflets of angiosperms, typically measured in studies of photosynthetic rate.

We measured light-saturated net leaf photosynthetic rate per area (Aa), stomatal conductance (gs), and intercellular CO2 concentration (Ci) using a portable photosynthesis system (LI-6400, LI-COR, Nebraska, USA). Leaves were measured on sunny days between 0830 and 1030 h, at a photosynthetic photon flux density of 1500 μmol m−2 s−1, and at ambient temperature, humidity and CO2 concentration. We measured gas exchange at ambient rather than controlled temperatures to assess actual net photosynthetic performance for different seasons and its seasonal decline as a test for a general tradeoff, including the effects of cold acclimation rather than distinguishing instantaneous temperature effects. Average relative humidity during the measurement was 66.8 and 55.7% in the warm season at XTBG and FBG, respectively, and 68.7 and 66.4% respectively during the cool season, remaining high due to occasional rain and frequent fogs. Average vapor pressure deficit during the measurement was 1.58 and 1.95 kPa in the warm season at XTBG and FBG, respectively, and 1.08 and 1.48 kPa respectively during the cool season. Average air temperature during the measurement was 32.7 and 29.5 °C in the warm season at XTBG and FBG, respectively and 24.4 and 28.6 °C respectively during the cool season. Air temperatures remained high in sunny mornings of the cool season, and night temperatures were substantially lower in the cool season compared to the warm season (≈14 °C versus ≈24 °C) for both sites.

Net photosynthetic rate per mass (Am) was determined as Aa divided by leaf dry mass per unit area (LMA). For determination of LMA, we measured leaf area (using a LI-3000A area meter; LI-COR, Nebraska, USA), and weighed the leaves after oven-drying at 70 °C to constant mass. Leaf C and N concentrations were determined using a Vario MAX CN auto element analyzer (Elementar Analysensysteme, Germany) after oven-drying leaves at 70 °C for 48 h, and C:N ratios were calculated as the quotient.

Data analysis

Data compiled from published data for seed plants were analyzed with standardized major axis (SMA) tests using SMATR V2.038 to test the relationship between maximum Aa and absolute or percent declines of Aa in the unfavorable season (winter or dry season). Data were analyzed for two types of sites (sites with drought or low temperatures as the major seasonal stress) combined, and for each type of site separately (see the first section of Materials and Methods).

Data from the cycad common garden experiment were analyzed using paired t-tests and repeated measures analysis of variance (ANOVA). The seasonal differences in Aa, Am, gs, and Ci for each given species were tested using paired t-tests applied to the leaf-level measurements for each species. Additionally, a repeated-measures analysis of variance (ANOVA) was used to test Aa, Am, gs, and Ci for the overall effects of species, season, garden and their interactions, with season as the repeated factor. Standardized major axis (SMA) tests were used to test the relationships between A (Aa and Am) or gs measured in the warm season and their declines in the cool season. One-way ANOVAs were also used to test for overall differences in average Aa, gs, Am, and LMA between the two gardens39. Additionally, we tested for differences between the two gardens in the bivariate relationships among variables. For each relationship we tested for differences in slope between the two gardens using SMA tests using SMATR V2.038; intercept (elevation) tests were performed if slopes were similar. If there were no significant differences, the data for both gardens were pooled and one common line was fitted to the data. Although % decline in A was calculated using the favorable season A, and Am was calculated from Aa and LMA, both % decline in A and Am have independent and important biological meanings (for detailed discussion, see Westoby et al.22). Therefore, the relationships between % decline in A and favorable season A, and between Am and LMA were presented. Statistical analyses were performed using SPSS V21 (IBM Corp., Armonk, NY, USA) and Minitab V16 (Minitab, Inc., State College, PA, USA).

Additional Information

How to cite this article: Zhang, Y.-J. et al. Speed versus endurance tradeoff in plants: Leaves with higher photosynthetic rates show stronger seasonal declines. Sci. Rep. 7, 42085; doi: 10.1038/srep42085 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Material

Supplementary Information
srep42085-s1.pdf (242.6KB, pdf)

Acknowledgments

We acknowledge the Biogeochemistry Laboratory of Xishuangbanna Tropical Botanical Garden for the determination of nutrient concentrations. We also thank Mr. Fu Xuewei, Mr. Yang Qiuyun, Mr. Zeng Xiaodong, and Mr. Li Shuai for their assistance in the field measurements. This work was partially conducted while Y-J Zhang was a Giorgio Ruffolo Fellow in the Sustainability Science Program at the JF Kennedy School of Government, Harvard University. Financial support from the National Natural Science Foundation of China (31470469) and Italy’s Ministry for Environment, Land and Sea is gratefully acknowledged.

Footnotes

The authors declare no competing financial interests.

Author Contributions Y.J.Z., L.S., and K.F.C. designed the study; Y.J.Z., L.S., X.M.W., and N.L. conducted the measurements; Y.J.Z. and L.S. analyzed data; All the authors contributed to writing of the paper.

References

  1. Malhi Y., Baldocchi D. D. & Jarvis P. G. The carbon balance of tropical, temperate and boreal forests. Plant Cell Environ. 22, 715–740 (1999). [Google Scholar]
  2. Zhang Y. J., Holbrook N. M. & Cao K. F. Seasonal dynamics in photosynthesis of woody plants at the northern limit of Asian tropics: potential role of fog in maintaining tropical rainforests and agriculture in Southwest China. Tree Physiol. 34, 1069–1078 (2014). [DOI] [PubMed] [Google Scholar]
  3. Taneda H. & Tateno M. Hydraulic conductivity, photosynthesis and leaf water balance in six evergreen woody species from fall to winter. Tree Physiol. 25, 299–306 (2005). [DOI] [PubMed] [Google Scholar]
  4. Allen D. J. & Ort D. R. Impacts of chilling temperatures on photosynthesis in warm-climate plants. Trends Plant Sci. 6, 36–42 (2001). [DOI] [PubMed] [Google Scholar]
  5. Granda E., Scoffoni C., Rubio-Casal A. E., Sack L. & Valladares F. Leaf and stem physiological responses to summer and winter extremes of woody species across temperate ecosystems. Oikos 123, 1281–1290 (2014). [Google Scholar]
  6. Van Damme R., Wilson R. S., Vanhooydonck B. & Aerts P. Evolutionary biology - Performance constraints in decathletes. Nature 415, 755–756 (2002). [DOI] [PubMed] [Google Scholar]
  7. Wilson R. S., James R. S. & Van Damme R. Trade-offs between speed and endurance in the frog Xenopus laevis: a multi-level approach. J. Exp. Biol. 205, 1145–1152 (2002). [DOI] [PubMed] [Google Scholar]
  8. Wilson R. S. & James R. S. Constraints on muscular performance: trade-offs between power output and fatigue resistance. Proc. R. Soc. B 271, S222–S225 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Orians G. H. & Solbrig O. T. A cost-income model of leaves and roots with special reference to arid and semiarid areas. Am. Nat. 111, 677–690 (1977). [Google Scholar]
  10. Lusk C. H. Leaf life spans of some conifers of the temperate forests of South America. Rev. Chil. Hist. Nat. 74, 711–718 (2001). [Google Scholar]
  11. Reich P. B. Reconciling apparent discrepancies among studies relating life-span, structure and function of leaves in contrasting plant life forms and climates - the blind men and the elephant retold. Funct. Ecol. 7, 721–725 (1993). [Google Scholar]
  12. Poorter L. & Bongers F. Leaf traits are good predictors of plant performance across 53 rain forest species. Ecology 87, 1733–1743 (2006). [DOI] [PubMed] [Google Scholar]
  13. Witkowski E. T. F. & Lamont B. B. Leaf specific mass confounds leaf density and thickness. Oecologia 88, 486–493 (1991). [DOI] [PubMed] [Google Scholar]
  14. Onoda Y. et al. Global patterns of leaf mechanical properties. Ecol. Lett. 14, 301–312 (2011). [DOI] [PubMed] [Google Scholar]
  15. Reich P. B., Ellsworth D. S. & Walters M. B. Leaf structure (specific leaf area) modulates photosynthesis–nitrogen relations: evidence from within and across species and functional groups. Funct. Ecol. 12, 948–958 (1998). [Google Scholar]
  16. Reich P. B., Walters M. B. & Ellsworth D. S. From tropics to tundra: global convergence in plant functioning. Proc. Natl. Acad. Sci. USA 94, 13730–13734 (1997). [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Niinemets Ü. Research review. Components of leaf dry mass per area – thickness and density – alter leaf photosynthetic capacity in reverse directions in woody plants. New Phytol. 144, 35–47 (1999). [Google Scholar]
  18. Tomas M. et al. Importance of leaf anatomy in determining mesophyll diffusion conductance to CO2 across species: quantitative limitations and scaling up by models. J. Exp. Bot. 64, 2269–2281 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Zhang Y. J. et al. Extending the generality of leaf economic design principles in the cycads, an ancient lineage. New Phytol. 206, 817–829 (2015). [DOI] [PubMed] [Google Scholar]
  20. Egea G., Gonzalez-Real M. M., Baille A., Nortes P. A. & Diaz-Espejo A. Disentangling the contributions of ontogeny and water stress to photosynthetic limitations in almond trees. Plant Cell Environ. 34, 962–979 (2011). [DOI] [PubMed] [Google Scholar]
  21. Marler T. E. & Willis L. E. Leaf gas-exchange characteristics of sixteen cycad species. J. Am. Soc. Hortic. Sci. 122, 38–42 (1997). [Google Scholar]
  22. Westoby M., Reich P. B. & Wright I. J. Understanding ecological variation across species: area-based vs mass-based expression of leaf traits. New Phytol. 199, 322–323 (2013). [DOI] [PubMed] [Google Scholar]
  23. Givnish T. J. Adaptive significance of evergreen vs. deciduous leaves: Solving the triple paradox. Silva Fenn. 36, 703–743 (2002). [Google Scholar]
  24. Wright I. J., Westoby M. & Reich P. B. Convergence towards higher leaf mass per area in dry and nutrient-poor habitats has different consequences for leaf life span. J. Ecol. 90, 534–543 (2002). [Google Scholar]
  25. Kao W. Y., Shih C. N. & Tsai T. T. Sensitivity to chilling temperatures and distribution differ in the mangrove species Kandelia candel and Avicennia marina. Tree Physiol. 24, 859–864 (2004). [DOI] [PubMed] [Google Scholar]
  26. Ball M. C. et al. Space and time dependence of temperature and freezing in evergreen leaves. Funct. Plant Biol. 29, 1259–1272 (2002). [DOI] [PubMed] [Google Scholar]
  27. Poorter H., Niinemets Ü., Poorter L., Wright I. J. & Villar R. Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. New Phytol. 182, 565–588 (2009). [DOI] [PubMed] [Google Scholar]
  28. Sassaki G., Schmidt A. B., Ferreira M. E., Rangel P. H. N. & Pereira-Netto A. B. Characterization of cold-induced changes in the fatty acids profile of rice seedlings. Acta Physiol. Plant. 35, 1989–1996 (2013). [Google Scholar]
  29. Yamori W., Noguchi K., Hikosaka K. & Terashima I. Phenotypic plasticity in photosynthetic temperature acclimation among crop species with different cold tolerances. Plant Physiol. 152, 388–399 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Ao P. X., Li Z. G. & Gong M. Involvement of compatible solutes in chill hardening-induced chilling tolerance in Jatropha curcas seedlings. Acta Physiol. Plant. 35, 3457–3464 (2013). [Google Scholar]
  31. Grimaud F. et al. Exploring chloroplastic changes related to chilling and freezing tolerance during cold acclimation of pea (Pisum sativum L.). J. Proteomics 80, 145–159 (2013). [DOI] [PubMed] [Google Scholar]
  32. Nardini A., Pedà G. & Rocca N. L. Trade-offs between leaf hydraulic capacity and drought vulnerability: morpho-anatomical bases, carbon costs and ecological consequences. New Phytol. 196, 788–798 (2012). [DOI] [PubMed] [Google Scholar]
  33. Li N., Chen K.-K., Gu W.-L. & Cui D.-F. Effects of physical-chemical characters and microelement contents in soil on growth of Cycas miquelii. J. Plant Resour. Environ. 15, 43–46 (2006). [Google Scholar]
  34. Cao J.-X. Investigation on the physical and chemical properties of soils in Xishuangbanna Tropical Botanical Garden Master thesis, Graduate School of Chinese Academy of Sciences (2009).
  35. Clark D. B., Clark D. A. & Grayum M. H. Leaf demography of a Neotropical rain-forest cycad, Zamia skinneri (Zamiaceae). Am. J. Bot. 79, 28–33 (1992). [Google Scholar]
  36. Wright I. J. et al. The worldwide leaf economics spectrum. Nature 428, 821–827 (2004). [DOI] [PubMed] [Google Scholar]
  37. Monson R. K. The use of phylogenetic perspective in comparative plant physiology and development biology. Ann. Mo. Bot. Gard. 83, 3–16 (1996). [Google Scholar]
  38. Warton D. I., Wright I. J., Falster D. S. & Westoby M. Bivariate line-fitting methods for allometry. Biol. Rev. Camb. Philos. Soc. 81, 259–291 (2006). [DOI] [PubMed] [Google Scholar]
  39. Sokal R. R. & Rohlf F. J. Biometry: the principles and practice of statistics in biological research. 4th edn, (W. H. Freeman and Co., 2011). [Google Scholar]

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