Abstract
Over millennia, human intervention has transformed European habitats mainly through extensive livestock grazing. “Dehesas/Montados” are an Iberian savannah-like ecosystem dominated by oak-trees, bushes and grass species that are subject to agricultural and extensive livestock uses. They are a good example of how large-scale, low intensive transformations can maintain high biodiversity levels as well as socio-economic and cultural values. However, the role that these human-modified habitats can play for individuals or species living beyond their borders is unknown. Here, using a dataset of 106 adult GPS-tagged Eurasian griffon vultures (Gyps fulvus) monitored over seven years, we show how individuals breeding in western European populations from Northern, Central, and Southern Spain, and Southern France made long-range forays (LRFs) of up to 800 km to converge in the threatened Iberian “dehesas” to forage. There, extensive livestock and wild ungulates provide large amounts of carcasses, which are available to scavengers from traditional exploitations and rewilding processes. Our results highlight that maintaining Iberian “dehesas” is critical not only for local biodiversity but also for long-term conservation and the ecosystem services provided by avian scavengers across the continent.
Subject terms: Ecology, Agroecology, Animal migration, Behavioural ecology, Biodiversity, Biogeography, Community ecology, Conservation biology, Ecological modelling, Ecological networks, Ecosystem ecology, Ecosystem services, Grassland ecology, Restoration ecology, Ecology, Agroecology, Animal migration, Behavioural ecology, Biodiversity, Biogeography, Community ecology, Conservation biology, Ecological modelling, Ecological networks, Ecosystem ecology, Ecosystem services, Grassland ecology, Restoration ecology, Environmental sciences, Environmental impact
Introduction
Savannah ecosystems extend across tropical and subtropical regions of the world. Continuous herbaceous layers, usually dominated by grasses or sedges, and a discontinuous layer of trees and/or shrubs, as well as a deep seasonality, characterize these ecosystems and their functioning1,2. Humans have traditionally intervened in savannah ecosystems largely through extensive livestock grazing3, but the exploitation of resources by domestic herds is also regulated by seasonal changes in primary productivity. Thus, cattle carry out transhumant movements (i.e., seasonal movement of livestock usually from high mountains in summer to lowlands in winter) to access seasonal resources4. Despite these interventions, many savannah systems have historically maintained high levels of biodiversity as well as complex ecosystem functions5. However, under current scenarios of global change and modernization of agro-silvopastoral practices, the coexistence of domestic and wild ungulate populations raises important challenges for the conservation of these systems and the maintenance of their large-scale ecological processes. In particular, it is essential to determine how large vertebrates with high movement capacity respond to the spatial distribution of savannahs and to the co-occurrence of wild and domestic ungulates. It is well known that in well-structured ecosystems, where functions and interactions have not been decisively altered by humans, organisms belonging to different trophic positions, such as primary consumers, predators and scavengers, may perform long-range forays (thereafter “LRFs”)6 regulated by environmental changes in the availability of resources7–9. Thus, a large-scale approach is required to understand the importance that these LRFs might have in the ecology of the species and their long-term conservation.
Mediterranean savannahs are mid-latitude systems found in regions with mild, rainy winters and hot, dry summers10. They have been impacted historically by human activities through fire and grazing11. In Europe, Mediterranean savannahs are specifically called “dehesa/montado” (thereafter “dehesa” and Dehesa when as variable), which describes an agro-silvopastoral landscape today covering almost 6 million ha (10% of the total surface) in the south-western regions of the Iberian Peninsula12. “Dehesas” are dominated by scattered Quercus trees with diverse traditional uses such as livestock grazing, forestry, cork-harvesting, cereal production, and game hunting5. In fact, the intimate mixtures of forest and open habitat types at several spatial scales promotes landscape heterogeneity and the maintenance of an extraordinary biodiversity and well-structured food webs13,14. Mediterranean “dehesas” are threatened by climate change and the abandonment of traditional uses, and thus are protected under the European Habitats Directive, the basis of Europe’s nature conservation policy13–15. They are also defined as high nature value (HNV) farmlands where the longstanding coevolution between human societies and the environment has shaped a unique cultural landscape15,16.
Obligate avian scavengers (vultures and condors) are a functional group of birds that have become extraordinarily rare in recent decades around the world, with many populations virtually extinct or in serious decline17,18, mainly because of unnatural mortality (poisoning, electrocution and collision with powering infrastructures) and changes in traditional farming practices and human-wildlife conflicts19–22. This decline has repercussions far beyond the guild itself since it compromises ecosystem functions and services, such as the removal of carcasses of wild animals and livestock, which helps to prevent the spread of diseases and parasites to both wildlife and humans23. This process of disappearance is occurring without a precise understanding of the ecological strategies of populations of top scavengers, in particular the dynamics of space use. This is particularly relevant since large scavengers display movement strategies that involve not only local displacements, but also frequent LRFs that lead them to exploit large areas. Thus, the ecosystem functions in which they are involved and the services they provide probably develop at spatial scales of unknown range6,24,25. In fact, it has been postulated that the most specialist group of species (Gyps spp.) evolved in a context of resources (wild ungulate herds) that were highly variable in space and time, favoring life strategies based on the ability to travel long distances7. For example, Ruppell’s vultures Gyps rueppellii time their reproduction and their movements according to those of the blue wildebeest Connochaetes taurinus and other large migratory mammals26–28.
In this context, it is essential to examine whether the existence of “dehesas” in southern Europe shapes movement patterns of large body-sized avian scavengers on a large geographic scale. Former approaches to understanding the role of the Iberian “dehesas” in the use of landscapes by avian scavengers relied merely on a small-scale approach29,30, but their importance could be much greater if “dehesas” govern LRFs from distant colonies and breeding areas. If so, this would reveal a new dimension in the understanding of the ecological and functional role of this globally threatened group of vertebrates. This is particularly relevant given that currently the conservation of vultures lies almost exclusively on the protection of breeding sites and the maintenance of supplementary feeding points at local or regional scales31–34. Clearly, larger-scale approaches, such as the identification of areas visited by individuals from different populations, are necessary. Similar approaches have been taken for seabirds in marine environments35 and can help focus transboundary conservation actions36.
With these aims, we took advantage of unprecedented information on the movements of 106 GPS-tagged adult Eurasian griffon vultures (Gyps fulvus) belonging to five populations located in the Iberian Peninsula and southern France, to assess the importance of the “dehesas” in their foraging movements. We chose the Eurasian griffon vulture as a target species due to its main role as a provider of key ecosystem services within Mediterranean landscapes37–39. We focus on how the maintenance of traditional habitats and agro-silvopastoral uses of “dehesas” attract vultures from distant populations, identifying how individual traits and social and environmental factors govern vultures' movements. Our results highlight the crucial importance of the Mediterranean “dehesas” for top-scavenger populations of Western Europe and call for the necessity to design novel policies considering the socio-ecological importance of these singular systems.
Results
Although most daily locations (92.1%, N = 58,941) were < 350 km from the central place (nest/activity center) of the GPS-tagged vultures, 32 out of the 106 birds belonging to the five populations moved beyond this limit, as far as 800 km, all directed to southwestern Iberia, a region dominated by “dehesas” (Fig. 1). In fact, short-range displacements between consecutive days occurred at both nearby (<50 km) and distant (>350 km) locations from the central place, so that intermediate locations were interpreted as travel journeys from breeding to distant foraging areas. In other words, these were days in which birds prioritized directional movements over foraging, to reach those areas >350 km (Fig. 2). Both males and females spent more days in summer than in winter beyond the limit of 350 km (see details in Supplementary Table 2).
The first GLM procedure showed that the proportion of days that the individual was more than 350 km away from its central place was related to Season and Sex and their interactions (Supplementary Tables 4-5), showing that LRFs were carried out more often by females and during the summer. Noticeably, the variable Population was non-informative, suggesting that the detected pattern was similar for individuals from all the study areas. The analysis that focused on the Ebro valley population (the population with the most GPS-tagged Eurasian griffon vultures (N = 36) and the largest number of individuals (N = 13) that made LRFs, i.e., >350 km (Table 1 and Supplementary Table 3)) showed that females and non-breeding individuals (52.8% of the total) performed these LRFs more frequently (Supplementary Tables 6-7). In fact, four breeding females with growing chicks made LRFs (> 350 km) to southwestern Iberia during the rearing period (Supplementary Fig. 2).
Table 1.
Study area | Latitude | Longitude | Tracking period | N of Eurasian griffon vultures | GPS positions |
---|---|---|---|---|---|
Ebro Valley | 42.263 | −1.572 | 2015–2018 | 36 | 25,950a |
Cádiz | 36.323 | −5.711 | 2018 | 12 | 2,998b |
Cazorla | 37.960 | −2.936 | 2014–2019 | 30 | 22,894a |
Catalonia | 42.367 | 0.705 | 2018 | 13 | 2,812c |
French Pyrenees | 43.070 | −0.415 | 2013–2018 | 15 | 4,332d |
aSolar-powered GPS/GPRS-GSM (e-obs) (90 g). https://e-obs.de/.
bSolar-powered GPS-GSM Backpack series Griffon LF (Ecotone) (34 g). http://ecotone-telemetry.com/en.
cSolar-powered GPS/GMS OrniTrack-50 (Ornitela) (50 g). https://www.ornitela.com/.
dSolar-powered GPS-zigbee loggers (UvA-BiTS) (55 g)91. https://www.uva-bits.nl/.
The second group of analyses corresponded to the fitting of two GLM models for (i) the Probability of presence of at least one GPS-tagged Eurasian griffon vulture and (ii) the Number of populations of origin of the individuals that had visited each 10×10 grid cell. In both cases, the probability was higher when there was a greater percentage of Open vegetation and Dehesa, larger numbers of Wild ungulates and livestock (i.e., Sheep/goats, Pigs, Cattle), closer to the monitored Eurasian griffon vulture populations and with a higher potential density of foraging vultures (i.e., Conspecifics) estimated from national censuses of the breeding populations of the species (Supplementary Tables 8-9). In contrast, the opposite effect of Cattle positively determined the Probability of presence of Eurasian griffon vultures but negatively determined the Number of populations sharing the same area. It should also be noted that ungulate abundance and habitat showed an additive effect although with different effect sizes. Finally, the Probability of presence of Eurasian griffon vultures was greater in rough terrain (i.e., larger values of Slope) with Open vegetation, while the overlap of individuals belonging to different populations (i.e., Number of populations) was higher in less urbanized areas (i.e., lower values of Urban) (Fig. 3 and Supplementary Tables 10-11).
Discussion
Our study shows that foraging Eurasian griffon vultures from five populations located across Western Europe made LRFs to converge in the same region of the Iberian Peninsula. This pattern was common to all the populations and, because it was shown by adult resident birds, cannot be explained by migratory or dispersal-prospective movements described in other scavenger species6,40, but occurs only during the pre-adult stage in our target species41. We also show that the existence of “dehesas” together with the availability of food resources were the main factors triggering the selection of these common foraging grounds. Our findings may constitute a key piece that connect the conservation of the “dehesa”, a high value farming system that requires high priority in conservation42 with the maintenance on a continental scale of populations of endangered large avian vertebrates and the ecosystem services that they supply. Our results emphasized the role of two types of variables (Wild ungulates and livestock (i.e., Sheep/goats, Pigs, and Cattle) abundance, and Dehesa). We hypothesized therefore that the joint effect of the simultaneous presence of both factors implied an environmental incidence greater than the sum effect of factors considered in isolation. This is likely because the variable Dehesa accounted for environmental factors not evaluated in our analysis, which would determine an added value improving the potential quality of the patches for the Eurasian griffon vultures. In this traditional Mediterranean agro-silvopastoral system, the livestock species complement each other; whereas ruminants use pastures, harvested cereal crops, stubble, and fallow land, the Iberian pigs (Sus scrofa domestica) consume Quercus acorns. This complementarity probably determined a greater availability of resources, more complex than that measured by our biomass index, due to the different mortality patterns of the ungulate groups43. For example, the abundance of cattle, the species that contributes to the bulk of ungulate biomass, was nevertheless the variable that has the smallest effect size on the Presence of vultures. Surprisingly, it had also a negative effect on the Number of populations visiting the grid. The effect on presence is likely to be small because cattle carcasses, unlike other livestock species, are often disposed and hence rarely available to vultures44, so perhaps they are only exploited by birds from nearby populations. The same reasoning could explain why vultures from few populations visited the cells with an abundance of cattle.
Moreover, many “dehesas” are rich in wild ungulates13, whose natural mortality and big game hunting provides scavengers with important trophic resources28,45. Wild herbivores, in addition, are rapidly expanding due to rewilding processes of Mediterranean habitats so that currently south-western Iberian regions maintain a rich community of large body-sized primary consumers46. In this context, the management of carcasses from livestock and game hunting in the “dehesas”, and other Mediterranean woodlands, can also be determinant in our findings. Due to limited access to mechanized collecting systems, livestock carcasses, except for cattle, are usually available to scavengers, which has also been reinforced by recent more permissive sanitary regulations44,47. Apart from this, avian scavengers may also consume game remains, which, after the hunts, are usually moved to supplementary feeding sites within hunting properties.
As a whole, and as has been proposed for other systems48,49, the complementarity of resources provided by wild and domestic ungulates may be especially profitable for avian scavengers, as it would buffer environmental fluctuations that would be spatially or temporally limiting. Finally, it is important to point out that the system is dynamic over time and that it will probably be subject to important changes in the medium- and long-term due to the abandonment of traditional agro-silvopastoral systems and generalized rewilding processes50. In this context, it is foreseeable that in the future the relative importance of wild ungulates and of hunting activities in the foraging strategies of avian scavengers of Mediterranean ecosystems will increase with potential consequences on populations and guilds that will need to be considered30,51,52.
Most of the LRFs recorded during our study occurred during warm months, when updrafts from warm air make flight conditions for vultures more favorable53. As we expected, more non-breeding Eurasian griffon vultures made these kinds of movements as they were not attached to reproductive tasks. Very interestingly, these movements involved more females than males, something very evident in the data from the Ebro valley population, with a larger sample size and a more equal balance between sexes. Other authors also found that these movements were more frequent among females arguing that mate searching may be motivating the observed patterns6. In our case, however, as we pointed out above, this hypothesis does not seem plausible because all the GPS-tagged Eurasian griffon vultures were adults breeding nearly regularly or had their activity centers in their populations of origin. Even more interesting is the fact that active breeding females, contrary to males, also performed short-duration travels to these distant foraging zones during the chick-rearing period. It can be hypothesized that there could be a sex-asymmetry in the foraging strategy similar to that observed in large seabirds54. Both, seabirds and vultures, forage over large areas searching for ephemeral clumped food resources, and so there may be parallel strategies in the exploitation of space at a large scale. In this context, and similarly to seabirds55, vultures may use a double strategy mixing short and long foraging trips, the latter enabling adult birds to refuel their body reserves on high-quality patches, especially if they are depleted because of the high requirements of breeding tasks26. From a conservation point of view, sex asymmetries in habitat use at any scale can determine different risks for both sexes from anthropogenic changes56 with potential consequences in population viability57.
The association between the density of conspecifics and the probability of use of common areas should also be highlighted. This finding could indicate that social aspects play an important role in the exploitation of resources. On the one hand, it is well known that Gyps vultures rely on social information to locate carcasses, even more so when they are randomly distributed in space, as is the case of extensive livestock and wild ungulates52,58–60. It is also increasingly evident that the social life of vultures goes far beyond trophic aspects, playing an essential role in numerous aspects of life strategies like breeding and mating systems, foraging techniques, social hierarchies, gathering behaviour, and interspecific interactions61.
Finally, we should consider our findings within an eco-evolutionary perspective in which seasonal migratory movements of ungulates would have triggered parallel strategies in avian scavengers. In fact, our findings mimic similar large-scale movements to those of large body-sized avian scavengers in other biomes in pursuit of herds of herbivores that move seasonally in search of grasses7, but see28,62,63, and far outweigh the previously short-distance movements of vultures following transhumant livestock reported in regions of Iberia64,65. This raises the question of whether the LRFs of top scavengers have a common ecological basis on both continents. Indeed, in our study area, for millennia, and until very recent times, millions of livestock from summer mountain areas made seasonal movements to winter in the Iberian south-western “dehesas”66. We can therefore consider whether LRFs of the Eurasian griffon vultures from regions of southwestern Europe and their convergence in the “dehesas” system could respond to evolutionarily fixed behaviors in a scenario as was above described.
Perspectives
Our findings show the importance of Mediterranean “dehesas” for the management and conservation of vulture populations throughout their distribution area across Western Europe. This information must be incorporated into European vulture conservation strategies, which currently focus primarily on the protection of breeding sites and on the provision of safe food resources via supplementary feeding points31,32. These latter measures, moreover, are applied close to the breeding colonies, without considering that foraging vultures move through much broader areas where they are subjected to a multiplicity of risks67. In addition, and focusing on a debated topic68, one might wonder if the coincidence of vultures from very distant breeding areas in the Iberian savannahs would promote social and demographic connectivity between populations of Western Europe, which in the end, could lead to an improvement in its viability.
In light of our results, we propose that the delineation and monitoring of the Iberian “dehesas” should be a top priority in developing conservation strategies for avian scavengers, as has been projected for other organisms exploiting resources in large areas 69,70. In this respect, it is important to remark that the Mediterranean “dehesas” located in the Iberian Peninsula hold a very important fraction of the European populations of other endangered avian scavengers such as cinereous vultures (Aegypius monachus) as well as endemic globally endangered top predators such as Spanish imperial eagles (Aquila adalberti) and Iberian lynxes (Lynx pardinus)13,29.
From an ecosystem perspective, the management of “dehesas” still requires much improvement as they are threatened by overexploitation, mishandling, and replacement by intensive livestock farming practices71. As occurs with other high natural value farmlands, this compromises the provision of ecosystem services and the maintenance of their socio-ecological viability16. “Dehesas” and, in general, savannah systems, are examples of the coexistence of biodiversity and sustainable human economies favoring the maintenance of large spatial-scale processes such as top-scavenger movements, which may be key to maintaining functions and services within ecosystems42. Future conservation strategies for Iberian “dehesas” must consider the existence of organisms moving and supplying services on a large scale, so any approach must be transboundary between regions and countries, operating outside of local administrative constraints.
Materials and methods
Experimental design
Data set
We marked 106 Eurasian griffon vultures in five regions of the Iberian Peninsula and southern France (Table 1, Fig. 1). We consider them as representative of the variability found in the original distribution area of the species in Western Europe as they cover almost the entire range occupied. They are also among the most important from a numeric point of view72 (Fig. 1). In all populations, we focused on adult birds (>5 yr. old) that were identified by plumage features73. All the GPS-tagged Eurasian griffon vultures were considered as residents as they were recorded attempting to breed within a 50 km radius from the trapping points in years after marking. In those years, when they did not nest, the individuals maintained their main activity centers in colonies also within this same area56,67,74). The solar-powered devices weighed between 30–100 g and were attached using back-pack harnesses with a total weight of the system between 1–2.5% of the total weight of the bird. Tracking periods were equal to or greater than one year (Table 1). Device configuration was dependent on season and day length, providing locations every 5–10 min, more frequently during the warmest and sunniest months75.
Tracking data
For each tracking day, we selected a single location per day and individual, namely the GPS position closest to solar noon within the 10.00–14.00 h interval, corresponding to the hours of maximum flight activity. Due to the well-known existence of strong seasonal patterns in the individual movements of Eurasian griffon vultures24,30 we classified the locations into two differentiated seasons, namely: summer (March-September) and winter (October-February). The final data set for analyses comprised 58,986 GPS locations.
For each breeding individual, we determined the position of its central place, which could be its nest or the activity center in each year of study. Nests were located through both field observations72 and/or the analysis of the accelerometer sensor positions during the incubation season. As a result, we were able to establish the nest position per year for at least 74 individuals (70% of the total, N = 106). For those birds not breeding in a particular year, we calculated the annual activity center as the mean of the locations from dusk to dawn hours (resting zones).
Statistical analysis
First, we used a Generalized Linear Mixed Model to examine differences in LRFs among individuals, populations, and between seasons. The response variable was the number of days that the individual was more than 350 km away from its central place in relation to the total number of days with locations in each season (binomial error, logit link function). This 350 km cut-off point was defined based on the distribution of distances to the central place of the daily position vs. the distance traveled by the individual from the previous day (Fig. 2). Consequently, this boundary represented the distance at which movements between days decline sharply, indicating that the Eurasian griffon vultures, after the displacement flights, remained in these new foraging areas. Therefore, it was a good threshold to separate directional movements for moving between areas from routine foraging movements within a specific area. Models included the following explanatory variables: (i) Sex (Male/Female): Previous research on the Eurasian griffon vulture populations showed that males exploit areas more transformed by human activities (urbanization, infrastructure) apparently assuming higher mortality risks56,67. Combined with the fact that females generally move longer distances than males in raptors76, we can predict that females should make more frequent use of distant areas where human disturbance is lower, such as “dehesas”. (ii) Season (Summer/Winter): Because vultures rely mainly on soaring flight, more LRFs are expected in summer, when the availability of thermal currents is higher 74,77. (iii) Population (Cadiz/Cazorla/Ebro valley/Catalonia/French Pyrenees): In principle, no differences between populations can be predicted in the proportions of individuals performing LRFs. We also tested the effect of the interactions Sex:Season and Sex:Population. Individual and Year were included as random terms to account for the non-independence of the data.
Additionally, to delve more deeply into these results, we focused on the study population of the Ebro valley (with the largest sample size (Table 1) and complete information on individual breeding success). We performed a GLM (binomial error, logit link function) to determine if the probability of making at least one LRFs (≥ 350 km) per year was dependent on Sex (Male/Female) and Breeding success (Yes/No). We considered that a vulture had success when a fledgling was observed in the nest. We predicted that individuals that have failed to reproduce were more likely to perform LRFs.
Second, for the whole study period, we analyzed the environmental drivers explaining the habitat use of GPS-tagged Eurasian griffon vultures using the 10×10 km grid cells from mainland Spain (UTM grid cells). We performed two analyses corresponding to two response variables: (a) the Presence/Absence of GPS-tagged Eurasian griffon vultures (Generalized Linear Model, binomial error distribution, and logit link function). In this case, the response variable was “1” when at least one vulture of any population visited the grid cell and “0” when no vulture of any population was recorded, and (b) the Number of populations of origin of these individuals. In this case, the response variable was the number of populations. It took values between 0/5 (no vultures of any populations were detected in the grid cell) and 5/5 (vultures of the five populations were detected in the grid cell). We used a binomial error (log link function). Based on previous studies78 and references therein, we chose a primary set of thirteen explanatory variables (see Supplementary Table 1 and Supplementary Fig. 1) describing the habitat (physiography and vegetation), the degree of human disturbance, the availability of trophic resources (domestic or wild ungulates), and the strength of intraspecific competition. As a whole, we can predict that those grid cells with more appropriate habitats for searching activities (open landscapes) and where there is availability of potential food (wild and/or domestic ungulates), will be more visited. Thus, the “dehesas”, which meet these requirements, are expected to be positively selected29,30. On the other hand, the probability should also be higher where human transformation of the landscape is low79. Finally, grid cells where the density of vultures is higher will be more visited since the Eurasian griffon vultures rely on social cues for the location of food (see above). Models also included the Mean distance between each grid-cell to the five study populations. Logically, it can be expected that grid cells will be less visited when more isolated (far away) from the potential origin of the birds.
As a previous step in the modeling, we assessed collinearity between explanatory variables by calculating the Spearman correlation coefficients for all pairwise combinations of predictors. Those exceeding |r| > 0.5 were considered redundant, so the least biologically meaningful variable was excluded from further analyses80. Comparisons between competing models were based on the small-sample-size corrected version of the Akaike information criterion (AICc). Competing models (i.e., models differing <2AICc) were averaged81,82 Finally, we tested for overdispersion, and we determined pseudo-R-Squared. Model fits were assessed using DHARMa83. All the analyses were done using R version 3.5.1 (https://www.r-project.org/)84 and the packages MASS85, lme486, gmodels87, AICcmodavg88, MuMIn89. Maps were generated using QGIS 3.6.0 Noosa (https://www.qgis.org/es/site/)90.
Ethical statements
All methods and procedures were performed in accordance with the relevant guidelines and regulations, followed the protocols approved by the Consejo Superior de Investigaciones Científicas (CSIC) Ethics Committee (CEBA-EBD-12-56) and were authorized by the Gobierno de Navarra (Ebro Valley), Generalitat de Catalunya (Pyrenees), Junta de Andalucía (Andalusia), and Centre de Recherches sur la Biologie des Populations d'Oiseaux (CRBPO)—CNRS/MNHN (France).
Supplementary Information
Acknowledgements
We thank the assistance of M. García-Alfonso, J.M. Pérez-García, I. Afán (LAST_EBD), J.M. Martínez (Gob. Aragón), J.L. Rivas, J. Sanz (SARGA), D. Peyrusqué and J. Cavailhes (PNP), S. Benhamou, J. Fluhr, W. Bouten, and Y. Ropert-Coudert. Â. Lomba made helpful comments on the manuscript.
Author contributions
Study conceived and designed: A.D.G., J.A.D., A.C.A., D.S.; Fieldwork: A.C.A., D.S., E.A., O.D., A.M., P.O.V., E.S., Z.M.R., M.R., J.A.D.; Compiling the data: A.D.G., E.A., Z.M.R., I.G.B.; Analysis of data: A.D.G. Figures and maps: A.D.G. Writing of the manuscript: A.D.G., J.A.D., D.S., A.C.A., & M.C., with contributions of all co-authors.
Funding
The study was funded by Community of Bardenas Reales of Navarra, Parc National des Pyrénées Occidentales (France), ECOTONE Telemetry Grant (26/2017) and the research Projects RNM-1925, P18-RT-1321 and RTI2018-099609-B-C21, C22-EU. ACA was supported by two Postdoc Contracts (I + D + I Retos E-41-202_0456599 and EMERGIA Program) both from Junta de Andalucía. ZMR was supported by the Post-Doc contract APOSTD/2019/016. EA and POV had Pre-Doc contracts from La Caixa-Severo Ochoa and the project CGL2015-66966-C2-1-R2, respectively.
Data availability
Data underlying the study will be deposited at Digital.CSIC, the institutional repository of the Spanish National Research Council (https://www.csic.es/en/open-science/access-digitalcsic).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-022-06436-9.
References
- 1.Skarpe C. Dynamics of savanna ecosystems. J. Veg. Sci. 1992;3:293–300. [Google Scholar]
- 2.Solbrig OT. The diversity of the savanna ecosystem. In: Solbrig OT, Medina E, Silva JF, editors. Biodiversity and Savanna Ecosystem Processes: A Global Perspective. Berlin: Springer; 1996. pp. 1–27. [Google Scholar]
- 3.Fynn RWS, Augustine DJ, Peel MJS, de Garine-Wichatitsky M. Strategic management of livestock to improve biodiversity conservation in African savannahs: A conceptual basis for wildlife–livestock coexistence. J Appl Ecol. 2016;53:388–397. [Google Scholar]
- 4.Turner MD, Schlecht E. Livestock mobility in sub-Saharan Africa: A critical review. Pastoralism. 2019;9:13. [Google Scholar]
- 5.Moreno G, et al. Exploring the causes of high biodiversity of Iberian dehesas: The importance of wood pastures and marginal habitats. Agrofor. Syst. 2015;90:87–105. [Google Scholar]
- 6.Spiegel O, et al. Moving beyond curve fitting: Using complementary data to assess alternative explanations for long movements of three vulture species. Am. Nat. 2015;185:E44–E54. [Google Scholar]
- 7.Houston DC. Food searching behaviour in griffon vultures. Afr. J. Ecol. 1974;12:63–77. [Google Scholar]
- 8.Fryxell JM, Sinclair ARE. Causes and Consequences of Migration by Large Herbivores. Trens Ecol. Evol. 1988;3:237–241. doi: 10.1016/0169-5347(88)90166-8. [DOI] [PubMed] [Google Scholar]
- 9.Joly K, et al. Longest terrestrial migrations and movements around the world. Sci. Rep. 2019;9:15333. doi: 10.1038/s41598-019-51884-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Naveh, Z. Mediterranean ecosystems and vegetation types in California and Israel. In Transdisciplinary Challenges in Landscape Ecology and Restoration Ecology. Landscape Series, vol 6. (Springer, Dordrecht, 1967), vol 48, pp. 445–459.
- 11.Pereira PM, Pires da Fonseca M. Nature vs. nurture: The making of the montado ecosystem. Conserv. Ecol. 2003;7:7. [Google Scholar]
- 12.Blondel J. The ‘design’ of Mediterranean landscapes: A millennial story of humans and ecological systems during the historic period. Hum. Ecol. 2006;34:713–729. [Google Scholar]
- 13.Díaz M, Campos P, Pulido FJ. The Spanish dehesas: A diversity of land use and wildlife. In: Pain D, Pienkowski M, editors. Farming and birds in Europe: The Common Agricultural Policy and its implications for bird conservation. London: Academic Press; 1997. pp. 178–209. [Google Scholar]
- 14.Campos P, et al. Mediterranean Oak Woodland Working Landscapes: Dehesas of Spain and Ranchlands of California. Springer; 2013. [Google Scholar]
- 15.Plieninger T, Bieling C. Resilience and the Cultural Landscape: Understanding and Managing Change in Human-Shaped Environments. Cambridge University Press; 2012. [Google Scholar]
- 16.Lomba A, et al. Back to the future: Rethinking socioecological systems underlying high nature value farmlands. Front. Ecol. Environ. 2020;18:36–42. [Google Scholar]
- 17.Ogada D, et al. Another continental vulture crisis: Africa's vultures collapsing toward extinction. Conserv. Lett. 2016;9:89–97. [Google Scholar]
- 18.Buechely E, Şekercioğlu ÇH. The avian scavenger crisis: Looming extinctions, trophic cascades, and loss of critical ecosystem functions. Biol. Conserv. 2016;198:220–228. [Google Scholar]
- 19.Safford R, et al. Vulture conservation: The case for urgent action. Bird Conserv. Int. 2019;29:1–9. [Google Scholar]
- 20.García-Alfonso, M., Donázar, J. A., Serrano, D. Individual and environmental drivers of resource use in endangered vulture: Integrating movement, spatial and social ecology. PhD Thesis. Universidad de Sevilla, Seville, Spain.
- 21.Ogada DL, Keesing F, Virani MZ. Dropping dead: Causes and consequences of vulture population declines worldwide. Ann. NY Acad. Sci. 2012;1249:57–71. doi: 10.1111/j.1749-6632.2011.06293.x. [DOI] [PubMed] [Google Scholar]
- 22.Blanco G, Cortés-Avizanda A, Frías Ó, Arrondo E, Donázar JA. Livestock farming practices modulate vulture diet-disease interactions. Glob. Ecol. 2019;17:e00518. [Google Scholar]
- 23.Olea PP, Mateo-Tomas P, Sánchez Zapata JA. Carrion Ecology and Management. Springer Nature; 2019. [Google Scholar]
- 24.Montsarrat S, et al. How predictability of feeding patches affects home range and foraging habitat selection in avian social scavengers? PLoS ONE. 2013;8:e53077. doi: 10.1371/journal.pone.0053077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Arrondo E, et al. Invisible barriers: Differential sanitary regulations constrain vulture movements across country borders. Biol. Conserv. 2018;219:46–52. [Google Scholar]
- 26.Houston DC. Breeding of the white-backed and Rüppell’s griffon vultures, Gyps africanus and G. rueppellii. Ibis. 1976;118:14–40. [Google Scholar]
- 27.Houston DC. A change in the breeding season of Rüppell’s griffon vultures Gyps rueppellii in the Serengeti in response to changes in ungulate populations. Ibis. 1990;132:36–41. [Google Scholar]
- 28.Kendall CJ, Virani MZ, Hopcraft JGC, Bildstein KL, Rubenstein DI. African vultures don’t follow migratory herds: Scavenger habitat use is not mediated by prey abundance. PLoS ONE. 2014;9:e83470. doi: 10.1371/journal.pone.0083470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Carrete M, Donázar JA. Application of central-place foraging theory shows the importance of Mediterranean dehesas for the conservation of the cinereous vulture, Aegypius monachus. Biol. Conserv. 2005;126:582–590. [Google Scholar]
- 30.Martín-Díaz P, et al. Rewilding processes shape the use of Mediterranean landscapes by an avian top scavenger. Sci. Rep. 2020;10:2853. doi: 10.1038/s41598-020-59591-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Botha A, et al. Multi-species action plan to conserve African-Eurasian vultures (vulture MSAP) CMS Raptors MOU Technical Publication. 2017;5:2–162. [Google Scholar]
- 32.Cortés-Avizanda A, et al. Supplementary feeding and endangered avian scavengers: Benefits, caveats, and controversies. Front. Ecol. Environ. 2016;14:191–199. [Google Scholar]
- 33.Fluhr J, Benhamou S, Riotte-Lambert L, Duriez O. Assessing the risk for an obligate scavenger to be dependent on predictable feeding sources. Biol. Conserv. 2017;215:92–98. [Google Scholar]
- 34.Schabo DG, Heuner S, Neethling MV, Rösner S, Uys R, Farwig N. Long-term data indicates that supplementary food enhances the number of breeding pairs in a Cape Vulture Gyps coprotheres colony. Bird Conserv. Int. 2016;27:1–13. [Google Scholar]
- 35.Louzao M, Pinaud D, Péron C, Delord K, Wiegand T, Weimerskirch H. Conserving pelagic habitats: Seascape modelling of an oceanic predator. J. Appl. Ecol. 2011;48:121–132. [Google Scholar]
- 36.Buechley ER, et al. Identifying critical migratory bottlenecks and high-use areas for an endangered migratory soaring bird across three continents. J. Avian Biol. 2018;49:e01629. [Google Scholar]
- 37.Morales-Reyes Z, et al. Supplanting ecosystem services provided by scavengers raises greenhouse gas emissions. Sci. Rep. 2015;5:7811. doi: 10.1038/srep07811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Mateo-Tomás P, Olea PP, Moleón M, Selva N, Sánchez-Zapata JA. Both rare and common species support ecosystem services in scavenger communities. Glob. Ecol. 2017;26:1459–1470. [Google Scholar]
- 39.Aguilera-Alcalá N, Morales-Reyes Z, Martín-López B, Moléon M, Sánchez-Zapata JA. Role of scavengers in providing non-material contributions to people. Ecol. Indic. 2020;117:106643. [Google Scholar]
- 40.Margalida A, et al. Uneven large-scale movement patterns in wild and reintroduced pre-adult bearded vultures: Conservation implications. PLoS ONE. 2013;8:e65857. doi: 10.1371/journal.pone.0065857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Griesinger, J. Juvenile dispersion and migration among Griffon Vultures Gyps fulvus in Spain. Holartic Birds of Prey (1998).
- 42.Plieninger T, et al. Dehesas as high nature value farming systems: A social-ecological synthesis of drivers, pressures, state, impacts, and responses. Ecology. 2021;26:23. [Google Scholar]
- 43.Virani MZ, Monadjem A, Thomsett S, Kendall C. Seasonal variation in breeding Rüppell’s Vultures Gyps rueppellii at Kwenia, southern Kenya and implications for conservation. Bird. Conserv. Int. 2012;22:260–269. [Google Scholar]
- 44.Morales-Reyes Z, et al. Evaluation of the network of protection areas for the feeding of scavengers in Spain: From biodiversity conservation to greenhouse gas emission savings. J. Appl. Ecol. 2017;54:1120–1129. [Google Scholar]
- 45.Mateo-Tomás P, Olea P. When hunting benefits raptors: A case study of game species and vultures. Eur. J. Wildl. Res. 2010;56:519–528. [Google Scholar]
- 46.Pereira HM, Navarro LM. Rewilding European Landscapes. Springer; 2015. [Google Scholar]
- 47.Margalida A, Carrete M, Sánchez-Zapata JA, Donázar JA. Good news for European vultures. Science. 2012;335:284. doi: 10.1126/science.335.6066.284-a. [DOI] [PubMed] [Google Scholar]
- 48.Paredes R, et al. Proximity to multiple foraging habitats enhances seabirds' resilience to local food shortages. Mar. Ecol. Prog. Ser. 2012;471:253–269. [Google Scholar]
- 49.Gomo G, Mattisson J, Hagen BR, Moa PF, Willebrand T. Scavenging on a pulsed resource. Quality matters for corvids but density for mammals. BMC Ecol. 2017;17:22. doi: 10.1186/s12898-017-0132-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Navarro LM, Pereira HM. Rewilding abandoned landscapes in Europe. Ecosystems. 2012;15:900–912. [Google Scholar]
- 51.Arrondo E, et al. Rewilding traditional grazing areas affects scavenger assemblages and carcass consumption patterns. Basic Appl. Ecol. 2019;41:56–66. [Google Scholar]
- 52.Cortés-Avizanda A, Donázar JA, Pereira HM. Top scavengers in a wilder Europe. In: Pereira HM, Navarro L, editors. Rewilding European Landscapes. Berlin: Springer; 2015. pp. 85–106. [Google Scholar]
- 53.Harel R, et al. Decision-making by a soaring bird: Time, energy and risk considerations at different spatio-temporal scales. Philos. Trans. R. Soc. B. 2016;371:20150397. doi: 10.1098/rstb.2015.0397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Austin RE, et al. A sex-influenced flexible foraging strategy in a tropical seabird, the magnificent frigatebird. Mar. Ecol. Prog. Ser. 2019;611:203–214. [Google Scholar]
- 55.Weimerskirch H, Cherel Y, Cuenot-Chaillet F, Ridoux V. Alternative foraging strategies and resource allocation by maIe and female wandering albatrosses. Ecology. 1997;78:2051–2063. [Google Scholar]
- 56.Gangoso L, et al. Avian scavengers living in anthropized landscapes have shorter telomeres and higher levels of glucocorticoid hormones. Sci. Total Environ. 2021;782:146920. [Google Scholar]
- 57.Lambertucci SA, Carrete M, Donázar JA, Hiraldo F. Large-scale age-dependent skewed sex ratio in a sexually dimorphic avian scavenger. PLoS ONE. 2012;7:e46347. doi: 10.1371/journal.pone.0046347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Jackson AL, Ruxton GD, Houston DC. The effect of social facilitation on foraging success in vultures: A modelling study. Biol. Lett. 2008;4:311–313. doi: 10.1098/rsbl.2008.0038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Deygout C, Gault A, Duriez O, Sarrazin F, Bessa-Gomes C. Impact of food predictability on social facilitation by foraging scavengers. Behav. Ecol. 2010;21:1131–1139. [Google Scholar]
- 60.Harel R, Spiegel O, Getz WM, Nathan R. Social foraging and individual consistency in following behaviour: Testing the information centre hypothesis in free-ranging vultures. Proc. R. Soc. B. 2017;284:20162654. doi: 10.1098/rspb.2016.2654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.van Overveld T, et al. Integrating vulture social behavior into conservation practice. The Condor. 2020;122:1–20. [Google Scholar]
- 62.Genero F, Franchini M, Fanin Y, Filacorda S. Spatial ecology of non-breeding Eurasian Griffon Vultures Gyps fulvus in relation to natural and artificial food availability. Bird Study. 2020;67:1–18. [Google Scholar]
- 63.Sherub S, Fiedler W, Duriez O, Wikelski M. Bio-Logging - New Technologies to study conservation physiology on the move: A case study on annual survival of Himalayan Vultures. J. Comp. Physiol. 2017;203:531–542. doi: 10.1007/s00359-017-1180-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Olea PP, Mateo-Tomás P. The role of traditional farming practices in ecosystem conservation: The case of transhumance and vultures. Biol. Conserv. 2009;142:1844–1853. [Google Scholar]
- 65.Aguilera-Alcalá N, et al. The value of transhumance for biodiversity conservation: Vulture foraging in relation to livestock movements. Ambio; 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Clement V. Spanish wood pasture: Origin and durability of an historical wooded landscape in Mediterranean Europe. Environ. Hist. Camb. 2008;14:67–87. [Google Scholar]
- 67.Arrondo E, Sanz-Aguilar A, Pérez-García JM, Cortés-Avizanda A, Sánchez-Zapata JA, Donázar JA. Landscape anthropization shapes the survival of a top avian scavenger. Biodivers. Conserv. 2020;29:1411–1425. [Google Scholar]
- 68.Block TA, Lyon BE, Mikalonis Z, Chaine AS, Shizuka D. Social migratory connectivity: Do birds that socialize in winter breed together? BioRxiv. 2021;17:76. [Google Scholar]
- 69.Thaxter CB, et al. Seabird foraging ranges as a preliminary tool for identifying candidate Marine Protected Areas. Biol. Conserv. 2012;156:53–61. [Google Scholar]
- 70.Santangeli A, et al. Priority areas for conservation of Old World vultures. Conserv. Biol. 2019;33:1056–1065. doi: 10.1111/cobi.13282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Costa A, Pereira H, Madeira M. Landscape dynamics in endangered cork oak woodlands in Southwestern Portugal (1958–2005) Agrofor. Syst. 2009;77:83–96. [Google Scholar]
- 72.Del Moral JC, Molina B, editors. El buitre leonado en España, población reproductora en 2018 y método de censo. SEO/BirdLife; 2018. [Google Scholar]
- 73.Zuberogoitia I, De La Puente J, Elorriaga J, Alonso R, Palomares LE, Martínez JE. The flight feather molt of griffon vultures (Gyps fulvus) and associated biological consequences. J. Raptor Res. 2013;47:292–304. [Google Scholar]
- 74.Fluhr J, Benhamou S, Peyrusque D, Duriez O. Space use and time budget in two populations of Griffon Vultures in contrasting landscapes. J. Raptor Res. 2021;55:13. [Google Scholar]
- 75.Arrondo E, et al. Use of avian GPS tracking to mitigate human fatalities from bird strikes caused by large soaring birds. J. Appl. Ecol. 2021;58:1411–1420. [Google Scholar]
- 76.Serrano D, et al. Dispersal in raptors. In: HernánSarasola J, et al., editors. Birds of Prey. Biology and Conservation in the XXI Century. Springer; 2018. pp. 95–121. [Google Scholar]
- 77.Williams HJ, Duriez O, Holton MD, Dell’Omo G, Wilson RP, Shepard ELC. Vultures respond to challenges of near-ground thermal soaring by varying bank angle. J. Exp. Biol. 2018;221:174995. doi: 10.1242/jeb.174995. [DOI] [PubMed] [Google Scholar]
- 78.García-Barón I, et al. How to fit the distribution of apex scavengers into land-abandonment scenarios? The Cinereous vulture in the Mediterranean biome. Divers. Distrib. 2018;24:1018–1031. [Google Scholar]
- 79.Donázar JA, Ceballos O, Cortés-Avizanda A. Tourism in protected areas: Disentangling road and traffic effects on intra-guild scavenging processes. Sci. Total Environ. 2018;630:600–608. doi: 10.1016/j.scitotenv.2018.02.186. [DOI] [PubMed] [Google Scholar]
- 80.Daoud JI. Multicollinearity and Regression Analysis. J. Phys. Conf. Ser. 2017;949:012009. [Google Scholar]
- 81.Burnham, K. P., Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2002).
- 82.Symonds MRE, Moussalli A. A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion. Behav. Ecol. Sociobiol. 2011;65:13–21. [Google Scholar]
- 83.Hartig, F. DHARMa: Residual Diagnostics for Hierarchical (Multi-Level/Mixed) Regression Models (2020).
- 84.R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, (2018), https://www.r-project.org/
- 85.Venables WN, Ripley BD. Modern Applied Statistics with S. 4. New York: Springer; 2002. [Google Scholar]
- 86.Bates D, Maechler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 2015;67:1–48. [Google Scholar]
- 87.Warnes, G. R., Bolker, B., Lumley, T., Johnson, R. C. gmodels: Various R programming tools for model fitting (2018).
- 88.Mazerolle, M. J. AICcmodavg: Model selection and multimodel inference based on (Q)AIC(c). R package version 2.2-2 (2019).
- 89.K. Barton, MuMIn: Multimodel inference. R package version 1.43.6.557. (2019).
- 90.QGIS.org, QGIS Geographic Information System. QGIS Association, (2019), http://www.qgis.org
- 91.Bouten W, Baaij EW, Shammoun-Baranes J, Camphuysen KCJ. A flexible GPS tracking system for studying bird behaviour at multiple scales. J. Ornithol. 2012;154:571–580. [Google Scholar]
- 92.ASTER GDEM Validation Team, ASTER Global Digital Elevation Model Version 2 ‐ Summary of Validation Results (2011).
- 93.Ruiz de la Torre, J. Mapa Forestal de España, 1:200.000, Memoria General, (ICONA, Madrid, 1990).
- 94.INE, Anuario estadístico. Madrid, Spain: Instituto Nacional de Estadística, Ministerio de Economía y Hacienda (2006).
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data underlying the study will be deposited at Digital.CSIC, the institutional repository of the Spanish National Research Council (https://www.csic.es/en/open-science/access-digitalcsic).