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6. Wilder rangelands as a natural climate opportunity: Linking climate action to biodiversity conservation and social transformation

Author

Simba, Lavhelesani D., te Beest, Mariska, Hawkins, Heidi Jayne, Larson, Keith W., Palmer, Anthony R., Sandström, Camilla, Smart, Kathleen G., Kerley, Graham I.H., Cromsigt, Joris P.G.M., Simba, Lavhelesani D., te Beest, Mariska, Hawkins, Heidi Jayne, Larson, Keith W., Palmer, Anthony R., Sandström, Camilla, Smart, Kathleen G., Kerley, Graham I.H., and Cromsigt, Joris P.G.M.

Abstract

Rangelands face threats from climate and land-use change, including inappropriate climate change mitigation initiatives such as tree planting in grassy ecosystems. The marginalization and impoverishment of rangeland communities and their indigenous knowledge systems, and the loss of biodiversity and ecosystem services, are additional major challenges. To address these issues, we propose the wilder rangelands integrated framework, co-developed by South African and European scientists from diverse disciplines, as an opportunity to address the climate, livelihood, and biodiversity challenges in the world’s rangelands. More specifically, we present a Theory of Change to guide the design, monitoring, and evaluation of wilder rangelands. Through this, we aim to promote rangeland restoration, where local communities collaborate with regional and international actors to co-create new rangeland use models that simultaneously mitigate the impacts of climate change, restore biodiversity, and improve both ecosystem functioning and livelihoods.

Published
2024

7. Camtrap DP : an open standard for the FAIR exchange and archiving of camera trap data

Author

Bubnicki, Jakub W., Norton, Ben, Baskauf, Steven J., Bruce, Tom, Cagnacci, Francesca, Casaer, Jim, Churski, Marcin, Cromsigt, Joris P.G.M., Farra, Simone Dal, Fiderer, Christian, Forrester, Tavis D., Hendry, Heidi, Heurich, Marco, Hofmeester, Tim R., Jansen, Patrick A., Kays, Roland, Kuijper, Dries P.J., Liefting, Yorick, Linnell, John D.C., Luskin, Matthew S., Mann, Christopher, Milotic, Tanja, Newman, Peggy, Niedballa, Jürgen, Oldoni, Damiano, Ossi, Federico, Robertson, Tim, Rovero, Francesco, Rowcliffe, Marcus, Seidenari, Lorenzo, Stachowicz, Izabela, Stowell, Dan, Tobler, Mathias W., Wieczorek, John, Zimmermann, Fridolin, Desmet, Peter, Bubnicki, Jakub W., Norton, Ben, Baskauf, Steven J., Bruce, Tom, Cagnacci, Francesca, Casaer, Jim, Churski, Marcin, Cromsigt, Joris P.G.M., Farra, Simone Dal, Fiderer, Christian, Forrester, Tavis D., Hendry, Heidi, Heurich, Marco, Hofmeester, Tim R., Jansen, Patrick A., Kays, Roland, Kuijper, Dries P.J., Liefting, Yorick, Linnell, John D.C., Luskin, Matthew S., Mann, Christopher, Milotic, Tanja, Newman, Peggy, Niedballa, Jürgen, Oldoni, Damiano, Ossi, Federico, Robertson, Tim, Rovero, Francesco, Rowcliffe, Marcus, Seidenari, Lorenzo, Stachowicz, Izabela, Stowell, Dan, Tobler, Mathias W., Wieczorek, John, Zimmermann, Fridolin, and Desmet, Peter

Abstract

Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing of camera trap-derived Big Data are becoming increasingly solvable with the help of scalable cyber-infrastructures, harmonization and exchange of the data remain limited, hindering its full potential. There is currently no widely accepted standard for exchanging camera trap data. The only existing proposal, “Camera Trap Metadata Standard” (CTMS), has several technical shortcomings and limited adoption. We present a new data exchange format, the Camera Trap Data Package (Camtrap DP), designed to allow users to easily exchange, harmonize and archive camera trap data at local to global scales. Camtrap DP structures camera trap data in a simple yet flexible data model consisting of three tables (Deployments, Media and Observations) that supports a wide range of camera deployment designs, classification techniques (e.g., human and AI, media-based and event-based) and analytical use cases, from compiling species occurrence data through distribution, occupancy and activity modeling to density estimation. The format further achieves interoperability by building upon existing standards, Frictionless Data Package in particular, which is supported by a suite of open software tools to read and validate data. Camtrap DP is the consensus of a long, in-depth, consultation and outreach process with standard and software developers, the main existing camera trap data management platforms, major players in the field of camera trapping and the Global Biodiversity Information Facility (GBIF). Under the umbrella of the Biodiversity Information Standards (TDWG), Camtrap DP has been developed openly, collaboratively and with version control from the start. We encourage camera trapping users and developers to join the discussion and contribute to the further development

Published
2024

9. Wilder rangelands as a natural climate opportunity: Linking climate action to biodiversity conservation and social transformation

Author

Sustainability Science and Education, Environmental Sciences, Simba, Lavhelesani D., te Beest, Mariska, Hawkins, Heidi Jayne, Larson, Keith W., Palmer, Anthony R., Sandström, Camilla, Smart, Kathleen G., Kerley, Graham I.H., Cromsigt, Joris P.G.M., Sustainability Science and Education, Environmental Sciences, Simba, Lavhelesani D., te Beest, Mariska, Hawkins, Heidi Jayne, Larson, Keith W., Palmer, Anthony R., Sandström, Camilla, Smart, Kathleen G., Kerley, Graham I.H., and Cromsigt, Joris P.G.M.

Published
2024

11. Direct and indirect effects of food, fear and management on crop damage by ungulates

Author

Widén, Anna, Cromsigt, Joris P.G.M., Dressel, Sabrina, Felton, Annika M., Singh, Navinder J., Widemo, Fredrik, Widén, Anna, Cromsigt, Joris P.G.M., Dressel, Sabrina, Felton, Annika M., Singh, Navinder J., and Widemo, Fredrik

Abstract

Foraging on crops by wild ungulates may create human–wildlife conflicts through reducing crop production. Ungulates interact with and within complex socio-ecological systems, making the reduction of crop damage a challenging task. Aside from ungulate densities, crop damage is influenced by different drivers affecting ungulate foraging behaviour: food availability and food quality in the landscape (i.e. the foodscape) as well as fear from hunting and scaring actions (i.e. the landscape of fear) may together affect the degree of damage via both direct and indirect effects. A better understanding of the individual effects of these potential drivers behind crop damage is needed, as is an appreciation of whether the effects are dependent on ungulate density. We investigated this by applying path analysis to test indirect and direct links between ungulate density, foodscape, landscape of fear and human management goals on crop damage of oats and grass, respectively. Our results suggest that crop type is the major driver behind crop damage, with more damage to oats than to leys, implying that human decisions (i.e. changing crop type) influence the level of crop damage. We found that management goals and actions influenced the foodscape and the landscape of fear, by affecting the amount of forage produced in the agricultural landscape and the amount of scaring actions. Additionally, we found that supplementary feeding influenced the local ungulate densities in the area. Our results highlight the importance of including human actions on multiple levels when assessing drivers behind damage by ungulates in managed landscapes. We suggest that more studies using path analysis on multiple scales are needed in order to tackle complex issues, such as crop damage and other human–wildlife conflicts.

Published
2023

12. Data for: Direct and indirect effects of food, fear and management on crop damage by ungulates

Author

Widén, Anna, Cromsigt, Joris P.G.M., Dressel, Sabrina, Felton, Annika M., Singh, Navinder J., Widemo, Fredrik, Widén, Anna, Cromsigt, Joris P.G.M., Dressel, Sabrina, Felton, Annika M., Singh, Navinder J., and Widemo, Fredrik

Abstract

Foraging on crops by wild ungulates may create human-wildlife conflicts through reducing crop production. Ungulates interact with and within complex socio-ecological systems, making the reduction of crop damage a challenging task. Aside from ungulate densities, crop damage is influenced by different drivers affecting ungulate foraging behavior: food availability and food quality in the landscape (i.e. the foodscape) as well as fear from hunting and scaring actions (i.e. the landscape of fear) may together affect the degree of damage via both direct and indirect effects. A better understanding of the individual effects of these potential drivers behind crop damage is needed, as is an appreciation of whether the effects are dependent on ungulate density. We investigated this by applying path analysis to test indirect and direct links between ungulate density, foodscape, landscape of fear and, human management goals on crop damage of oats and grass, respectively. Our results suggest that crop type is the major driver behind crop damage, with more damage to oats than to leys, implying that human decisions (i.e changing crop type) influence the level of crop damage. We found that management goals and actions influenced the foodscape and the landscape of fear, by affecting the amount of forage produced in the agricultural landscape and the amount of scaring actions. Additionally, we found that supplementary feeding influenced the local ungulate densities in the area. Our results highlight the importance of including human actions on multiple levels when assessing drivers behind damage by ungulates in managed landscapes. We suggest that more studies using path analysis on multiple scales are needed in order to tackle complex issues such as crop damage and other human-wildlife conflicts., Foraging on crops by wild ungulates may create human-wildlife conflicts through reducing crop production. Ungulates interact with and within complex socio-ecological systems, making the reduction of crop damage a challenging task. Aside from ungulate densities, crop damage is influenced by different drivers affecting ungulate foraging behavior: food availability and food quality in the landscape (i.e. the foodscape) as well as fear from hunting and scaring actions (i.e. the landscape of fear) may together affect the degree of damage via both direct and indirect effects. A better understanding of the individual effects of these potential drivers behind crop damage is needed, as is an appreciation of whether the effects are dependent on ungulate density. We investigated this by applying path analysis to test indirect and direct links between ungulate density, foodscape, landscape of fear and, human management goals on crop damage of oats and grass, respectively. Our results suggest that crop type is the major driver behind crop damage, with more damage to oats than to leys, implying that human decisions (i.e changing crop type) influence the level of crop damage. We found that management goals and actions influenced the foodscape and the landscape of fear, by affecting the amount of forage produced in the agricultural landscape and the amount of scaring actions. Additionally, we found that supplementary feeding influenced the local ungulate densities in the area. Our results highlight the importance of including human actions on multiple levels when assessing drivers behind damage by ungulates in managed landscapes. We suggest that more studies using path analysis on multiple scales are needed in order to tackle complex issues such as crop damage and other human-wildlife conflicts.

Published
2023

13. Increased summer temperature is associated with reduced calf mass of a circumpolar large mammal through direct thermoregulatory and indirect, food quality, pathways

Author

Holms, Sheila, Dressel, S., Morel, Julian, Spitzer, Robert, Ball, John, Ericsson, Göran, Singh, Navinder J., Widemo, Fredrik, Cromsigt, Joris P.G.M., Danell, Kjell, Holms, Sheila, Dressel, S., Morel, Julian, Spitzer, Robert, Ball, John, Ericsson, Göran, Singh, Navinder J., Widemo, Fredrik, Cromsigt, Joris P.G.M., and Danell, Kjell

Abstract

Climate change represents a growing ecological challenge. The (sub) arctic and boreal regions of the world experience the most rapid warming, presenting an excellent model system for studying how climate change affects mammals. Moose (Alces alces) are a particularly relevant model species with their circumpolar range. Population declines across the southern edge of this range are linked to rising temperatures. Using a long-term dataset (1988–1997, 2017–2019), we examine the relative strength of direct (thermoregulatory costs) and indirect (food quality) pathways linking temperature, precipitation, and the quality of two important food items (birch and fireweed) to variation in moose calf mass in northern Sweden. The direct effects of temperature consistently showed stronger relationships to moose calf mass than did the indirect effects. The proportion of growing season days where the temperature exceeded a 20 °C threshold showed stronger direct negative relationships to moose calf mass than did mean temperature values. Finally, while annual forb (fireweed) quality was more strongly influenced by temperature and precipitation than were perennial (birch) leaves, this did not translate into a stronger relationship to moose calf weight. The only indirect path with supporting evidence suggested that mean growing season temperatures were positively associated with neutral detergent fiber, which was, in turn, negatively associated with calf mass. While indirect impacts of climate change deserve further investigation, it is important to recognize the large direct impacts of temperature on cold-adapted species.

Published
2023

14. Grazing in a megagrazer-dominated savanna does not reduce soil carbon stocks, even at high intensities

Author

Hyvärinen, Olli, te Beest, Mariska, le Roux, Elizabeth, Kerley, Graham I.H., Findlay, Nicola, Schenkeveld, Walter, Trouw, Victor, Cromsigt, Joris P.G.M., Hyvärinen, Olli, te Beest, Mariska, le Roux, Elizabeth, Kerley, Graham I.H., Findlay, Nicola, Schenkeveld, Walter, Trouw, Victor, and Cromsigt, Joris P.G.M.

Abstract

Recent studies suggest that wild animals can promote ecosystem carbon sinks through their impacts on vegetation and soils. However, livestock studies show that intense levels of grazing reduce soil organic carbon (SOC), leading to concerns that rewilding with large grazers may compromise ecosystem carbon storage. Furthermore, wild grazers can both limit and promote woody plant recruitment and survival on savanna grasslands, with both positive and negative impacts on SOC, depending on the rainfall and soil texture contexts. We used grazing lawns in one of the few African protected savannas that are still dominated by megagrazers (>1000 kg), namely white rhinoceros (Ceratotherium simum), as a model to study the impact of prolonged and intense wild grazing on SOC stocks. We contrasted SOC stocks between patches of varying grazing intensity and woody plant encroachment in sites across different rhino habitat types. We found no differences in SOC stocks between the most- and least-grazed plots in any of the habitats. Intermediately grazed plots, however, had higher SOC stocks in the top 5 cm compared to most and least grazed plots, but only in the closed-canopy woodland habitat and not in the open habitats. Importantly, we found no evidence to support the hypothesis that wild grazing reduces SOC, even at high grazing intensities by the world’s largest megagrazer. Compared to the non-encroached reference plots, woody encroached plots had higher SOC stocks in soils with low clay content and lower SOC stocks in soils with high clay content, although only in the top 5 cm. Accordingly, our study highlights that wild grazers may influence SOC indirectly through their impact on tree-grass ratios in grassy ecosystems. Our study thus provides important insights for future nature-based climate solutions that focus on wild grazer conservation and restoration.

Published
2023

15. Trophic rewilding can expand natural climate solutions

Author

Schmitz, Oswald J., Sylvén, Magnus, Atwood, Trisha B., Bakker, E.S., Berzaghi, Fabio, Brodie, Jedediah F., Cromsigt, Joris P.G.M., Davies, Andrew B., Leroux, Shawn J., Schepers, Frans J., Smith, Felisa A., Stark, Sari, Svenning, Jens-Christian, Tilker, Andrew, Ylänne, Henni, Schmitz, Oswald J., Sylvén, Magnus, Atwood, Trisha B., Bakker, E.S., Berzaghi, Fabio, Brodie, Jedediah F., Cromsigt, Joris P.G.M., Davies, Andrew B., Leroux, Shawn J., Schepers, Frans J., Smith, Felisa A., Stark, Sari, Svenning, Jens-Christian, Tilker, Andrew, and Ylänne, Henni

Abstract

Natural climate solutions are being advanced to arrest climate warming by protecting and enhancing carbon capture and storage in plants, soils and sediments in ecosystems. These solutions are viewed as having the ancillary benefit of protecting habitats and landscapes to conserve animal species diversity. However, this reasoning undervalues the role animals play in controlling the carbon cycle. We present scientific evidence showing that protecting and restoring wild animals and their functional roles can enhance natural carbon capture and storage. We call for new thinking that includes the restoration and conservation of wild animals and their ecosystem roles as a key component of natural climate solutions that can enhance the ability to prevent climate warming beyond 1.5 °C.

Published
2023

20. Hunting as land use: Understanding the spatial associations among hunting, agriculture, and forestry

Author

Neumann, Wiebke, Levers, Christian, Widemo, Fredrik, Singh, Navinder J., Cromsigt, Joris P.G.M., Kuemmerle, Tobias, and Environmental Geography

Subjects
Social-ecological systems, Land-use archetypes, Wildlife management, Ungulate overabundance, Functional game groups, Human-nature interactions, Northern Europe, Spatial clustering, Human-wildlife co-existence, SDG 15 - Life on Land
Abstract

Hunting is a widespread but often overlooked land-use activity, providing major benefits to society. Hunting takes place in most landscapes, yet it remains unclear which types of landscapes foster or dampen hunting-related services, and how hunting relates to other land uses. A better understanding of these relationships is key for sustainable land-use planning that integrates wildlife management. This is particularly urgent for Europe, where wildlife populations are increasing. Focusing on Sweden, we explored the spatial associations among hunting, agriculture, and forestry to identify archetypical combinations of these land uses. Specifically, we combined indicators on the extent and intensity of agriculture and forestry, with data on hunting bags for 63 game species using self-organizing maps, a non-parametric clustering approach. We identified 15 typical bundles of co-occurring land uses at the municipality level across Sweden. The harvest of forest grouse, bears, and moose co-occurred with forestry in northern Sweden, whereas the harvest of small game, different deer species, and wild boar co-occurred with agriculture across southern Sweden, reflecting species’ biology, environmental factors, and management. Our findings also highlight the strength of associations among hunting and other land uses. Importantly, we identified large areas in central Sweden where harvest of game was below average, possibly indicating that intensity of hunting is out of balance with that of agriculture or forestry, potentially fostering conflict between wildlife and land use. Collectively, our results suggest that (1) hunting should be considered a major land use that, in Sweden, is more widespread than agriculture and forestry; (2) land-use planning must therefore integrate wildlife management; and (3) such an integration should occur in a regionalized manner that considers social-ecological context. Our approach identifies a first spatial template within which such context-specific land-use planning, aiming at aligning wildlife and diverse land uses, can take place.

Published
2022
Full Text
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22. Summer and winter browsing affect conifer growth differently: An experimental study in a multi-species ungulate community

Author

Pfeffer, Sabine E., Singh, Navinder J., Cromsigt, Joris P.G.M., Widemo, Fredrik, and Environmental Sciences

Subjects
Cervidae, Picea abies, Exclosure experiment, Even-aged forest management, Pinus sylvestris, Forestry, Clear-cut, Management, Monitoring, Policy and Law, Nature and Landscape Conservation
Abstract

Ungulate browsing has been studied for several decades in the northern hemisphere. However, studies have mainly focused on just one or two ungulate species, while rarely contrasting the relative effects of summer and winter browsing. This limits our understanding of the dynamics and effects of browsing in landscapes where ungulate species diversity is increasing. We conducted a seasonal exclosure experiment on former clear-cuts in a multi-species ungulate system in Sweden, to investigate the relative impacts of summer and winter browsing on the conifers Scots pine (Pinus sylvestris) and Norway spruce (Picea abies) at the tree species level. We tested for differences in individual conifer growth and demographic responses between Summer browsing, Winter browsing, No browsing, and Control treatment plots over a 4.5 year experimental period. We defined the demographic response as the distribution of conifers among different height classes. Individual growth rates and demographic responses of both conifer species were similar in the plots with No browsing (year-round exclosures) as in the Control plots with year-round browsing. Plots subject to Summer and Winter browsing differed in terms of their demographic response relative to plots with No browsing and Control plots; more stems reached taller height classes in the Summer and Winter browsing plots with slight differences between the conifer species. We discuss the different responses of Scots pine and Norway spruce considering their differences in palatability and their ability to tolerate plant-plant competition in a multi-species ungulate system, in light of potential associational effects. If fencing is intended to be used as a management practice to mitigate the impacts of deer browsing on conifer growth, our results suggest that a total exclusion of deer does not necessarily enhance conifer growth during the first years of regeneration.

Published
2021

24. Declining recruitment and mass of Swedish moose calves linked to hot, dry springs and snowy winters

Author

Holmes, Sheila M., Cromsigt, Joris P.G.M., Danell, Kjell, Ericsson, Göran, Singh, Navinder J., Widemo, Fredrik, Holmes, Sheila M., Cromsigt, Joris P.G.M., Danell, Kjell, Ericsson, Göran, Singh, Navinder J., and Widemo, Fredrik

Abstract

As global temperatures continue to rise, increases in the frequency and intensity of climatic extremes will likely outpace average temperature increases, and may have outsized impacts on biological populations. Moose (Alces alces) are adapted to cold weather and populations are declining at the southern edge of the species’ range. Moose therefore make a suitable case study to examine the relationship between population performance and both climatic averages and the frequency of rare, intense climatic events. More than twenty years of slaughter weights and moose observations collected by hunting teams across all of Sweden show that early calf recruitment has declined throughout Sweden and calf mass has also declined, particularly in central and southern Sweden. Spring weather affected mean calf mass, which declined with higher average temperatures, more frequent very hot days (days in the 95th percentile for maximum temperature) and less precipitation during this season, though in the case of hot days only when high temperatures coincided with low rainfall. This supports previous observations of moose sensitivity to both direct heat stress and the negative impacts of hot, dry spring weather on forage quality. Recruitment was similarly impacted, and the interaction between the previous year's temperature and precipitation supports a lagged effect of weather on recruitment, via female condition. Finally, cold winter temperatures and deeper snow were associated with reduced calf mass during the following autumn, while deeper snow was additionally linked to fewer calves per female. Our results suggest that similar patterns may exist for averages and the frequency of extreme values, but it is important to examine both in order to improve biological relevance. The significant and ongoing declines in calf mass in southern populations and calf recruitment throughout Sweden should serve as an early warning that Eurasian moose may suffer from climate change in similar ways

Published
2021

27. How do forest management and wolf space-use affect diet composition of the wolf’s main prey, the red deer versus a non-prey species, the European bison?

Author

Environmental Sciences, Churski, Marcin, Spitzer, Robert, Coissac, Eric, Taberlet, Pierre, Lescinskaite, Jone, van Ginkel, Hermine A.L., Kuijper, Dries P.J., Cromsigt, Joris P.G.M., Environmental Sciences, Churski, Marcin, Spitzer, Robert, Coissac, Eric, Taberlet, Pierre, Lescinskaite, Jone, van Ginkel, Hermine A.L., Kuijper, Dries P.J., and Cromsigt, Joris P.G.M.

Published
2021

29. Dynamics of grazing lawn formation: an experimental test of the role of scale-dependent processes

Author

Cromsigt, Joris P.G.M. and Olff, Han

Subjects
Environmental issues
Abstract

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.0030-1299.2008.16651.x Byline: Joris P. G. M. Cromsigt, Han Olff Abstract: Grazing lawns are characteristic for African savanna grasslands, standing out as intensely grazed patches of stoloniferous grazing-tolerant grass species. Grazing lawn development has been associated with grazing and increased nutrient input by large migratory herds. However, we argue that in systems without mass migrations disturbances, other than direct grazing, drive lawn development. Such disturbances, e.g. termite activity or megaherbivore middens, also increase nutrient input and keep the bunch vegetation down for a prolonged time period. However, field observations show that not all such disturbances lead to grazing lawns. We hypothesize that the initial disturbance has to be of a minimal threshold spatial scale, for grazing intensity to be high enough to induce lawn formation. We experimentally tested this idea in natural tall savanna grassland. We mowed different-sized plots to simulate initial disturbances of different scales (six times during one year) and applied fertilizer to half of the plots during two years to simulate increased nutrient input by herbivores or termite activity. Allowing grazing by naturally occurring herbivores, we followed the vegetation development over more than three years. Grazing kept bunch grass short in coarser, fertilized plots, while grasses grew out toward their initial height in fine-scale and unfertilized plots. Moreover, lawn grasses strongly increased in cover in plots with an increased nutrient input but only after coarser scale disturbance. These results support our hypothesis that an increased nutrient input in combination with grazing indeed induces grazing lawn formation, but only above a threshold scale of the initial disturbance. Our results provide an alternative mechanism for the development of grazing lawns in systems that lack mass migrating herds. Moreover, it gives a new spatial dimension to the processes behind grazing lawn development, and hence help to understand how herbivores might create and maintain spatial heterogeneity in grassland systems. Article History: Manuscript Accepted 28 March 2008 Article note: J. P. G. M. Cromsigt (jcromsigt@hotmail.com) and H. Olff, Community and Conservation Ecology Group, Centre for Ecological and Evolutionary Studies, Univ. of Groningen, PO Box 14, NL-9750 AA Haren, the Netherlands. Present address for JPGMC: Mammal Research Inst., ul. Waszkiewicza 1c, PL-17-230 Bialowieza, Poland.

Published
2008

30. TRY plant trait database – enhanced coverage and open access

Author

Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D.A., Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia T.R., Adamidis, George C., Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H., Alcántara, Julio M., Alcázar C, Carolina, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M., Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimarães, Ashman, Tia-Lynn, Asmara, Degi Harja, Asner, Gregory P., Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup-Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J., Bakker, Jan P., Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R., Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo-Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Bergmann Carlucci, Marcos, Berner, Logan, Bernhardt-Römermann, Markus, Bigler, Christof, Bjorkman, Anne D., Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra-González, Kelly T., Boeckx, Pascal, Bohlman, Stephanie, Böhning-Gaese, Katrin, Boisvert-Marsh, Laura, Bond, William, Bond-Lamberty, Ben, Boom, Arnoud, Boonman, Coline C.F., Bordin, Kauane, Boughton, Elizabeth H., Boukili, Vanessa, Bowman, David M.J.S., Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R., Brown, Kerry A., Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W., Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E., Bürger, Jana, Burrascano, Sabina, Burslem, David F.R.P., Butterfield, Bradley J., Byun, Chaeho, Marques, Marcia, Scalon, Marina C., Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, James, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano-Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A., Cavender-Bares, Jeannine, Cerabolini, Bruno E.L., Cervellini, Marco, Chacón-Madrigal, Eduardo, Chapin, Kenneth, Chapin, F. Stuart, Chelli, Stefano, Chen, Si-Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong-Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluís, Collins, Courtney G., Conti, Luisa, Coomes, David, Cornelissen, Johannes H.C., Cornwell, William K., Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P.G.M., Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthias, da Silva, Ana Carolina, Dahlin, Kyla M., Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang-Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, de Beer, Arend Jacobus, De Frutos, Angel, De Long, Jonathan R., Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicolas, Derroire, Géraldine, Dias, Arildo S., Diaz-Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G., Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E-Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, James, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel-Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F., Fagan, William F., Fagúndez, Jaime, Falster, Daniel S., Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez-Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J., Flynn, Dan F.B., Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Louis, Frangipani, Marcelo, Frank, Dorothea, Frenette-Dussault, Cedric, Freschet, Grégoire T., Fry, Ellen L., Fyllas, Nikolaos M., Mazzochini, Guilherme G., Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García-Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Luis, de Gasper, André Luís, Gea-Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N., Giroldo, Aelton, Glasenhardt, Mary-Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez-Akre, Erika, Gonzalez-Andujar, Jose L., González-Melo, Andrés, González-Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A., Gregor, Thomas, Gross, Nicolas, Guerin, Greg R., Günther, Angela, Gutiérrez, Alvaro G., Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P., Hattingh, Wesley, Hawes, Joseph E., He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana-Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thomas, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L., Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough-Snee, Nate, Hovstad, Knut Anders, Ichie, Tomoaki, Igić, Boris, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M., Izquierdo, Jordi, Jackson, Robert B., Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M., Jandt, Ute, Jansen, Steven, Jenkins, Thomas, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo-Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J., Joly, Carlos Alfredo, Jordan, Gregory J., Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R., Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I., Kinlock, Nicole L., Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thomas, Kjøller, Rasmus, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M.H., Kohyama, Takashi, Koike, Fumito, Kollmann, Johannes, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J.B., Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jonas, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean-Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J., Laughlin, Daniel, Le Bagousse-Pinguet, Yoann, le Maire, Guerric, le Roux, Peter C., le Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L., Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W., Liebergesell, Mario, Lim, Jun Ying, Lin, Yan-Shih, Linares, Juan Carlos, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López-García, Álvaro, Lopez-Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A., Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mendes, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio-Silva, Vinicius, Marcon, Eric, Marignani, Michela, Markesteijn, Lars, Martin, Adam, Martínez-Garza, Cristina, Martínez-Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, McCarthy, James, McCormack, M. Luke, McCulloh, Katherine, McFadden, Ian R., McGill, Brian J., McPartland, Mara Y., Medeiros, Juliana S., Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P.L., Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T., Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E.D., Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T., Molnár V, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A., Monty, Arnaud, Moravcová, Lenka, Moreno-Martínez, Alvaro, Moretti, Marco, Mori, Akira S., Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D., Müller, Sandra Cristina, Munoz, François, Myers-Smith, Isla H., Myster, Randall W., Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S., Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Network, The Nutrient, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly-Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E., Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E., Ordonez, Jenny C., Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E., Ozinga, Wim A., Pahl, Anna T., Paine, C.E. Timothy, Pakeman, Robin J., Papageorgiou, Aristotelis C., Parfionova, Evgeniya, Pärtel, Meelis, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G., Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Luis, Petisco-Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L., Pierce, Simon, Pillar, Valério D., Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A. Shafer, Power, Sally A., Prinzing, Andreas, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johannes, Ray, Courtenay A., Reich, Peter B., Reichstein, Markus, Reid, Douglas E.B., Réjou-Méchain, Maxime, de Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C., Riviera, Fiamma, Robert, Elisabeth M.R., Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Vinicius, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A., Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B., Royer-Tardif, Samuel, Rüger, Nadja, Ruiz-Peinado, Ricardo, Rumpf, Sabine B., Rusch, Graciela M., Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado-Negret, Beatriz, Salguero-Gomez, Roberto, Santa-Regina, Ignacio, Santacruz-García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer-Lorenzen, Michael, Schleuning, Matthias, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V., Schowanek, Simon D., Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C., Sharpe, Joanne M., Sheppard, Christine S., Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlos, Silva, Vasco, Silva, Mateus, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G., Sodhi, Darwin, Soltis, Pamela, Soltis, Douglas, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski Jr, Enio Egon, Soudzilovskaia, Nadejda A., Souza, Alexandre F., Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B., Stegen, James, Steinbauer, Klaus, Stephan, Jörg G., Sterck, Frank, Stojanovic, Dejan B., Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens-Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, te Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E., Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G., Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres-Ruiz, José M., Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L., Tsiripidis, Ioannis, Tysklind, Niklas, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, van Bodegom, Peter M., van Breugel, Michiel, Van Cleemput, Elisa, van de Weg, Martine, van der Merwe, Stephni, van der Plas, Fons, van der Sande, Masha T., van Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J., Verbeeck, Hans, Verheyen, Kris, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P., Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, James, Weber, Ulrich, Weedon, James T., Wei, Liping, Weigelt, Patrick, Weiher, Evan, Wells, Aidan W., Wellstein, Camilla, Wenk, Elizabeth, Westoby, Mark, Westwood, Alana, White, Philip John, Whitten, Mark, Williams, Mathew, Winkler, Daniel E., Winter, Klaus, Womack, Chevonne, Wright, Ian J., Wright, S. Joseph, Wright, Justin, Pinho, Bruno X., Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Kátia Janaina, Zanne, Amy E., Zelený, David, Zhao, Yun-Peng, Zheng, Jingming, Zheng, Ji, Ziemińska, Kasia, Zirbel, Chad R., Zizka, Georg, Zo-Bi, Irié Casimir, Zotz, Gerhard, Wirth, Christian, Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D.A., Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia T.R., Adamidis, George C., Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H., Alcántara, Julio M., Alcázar C, Carolina, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M., Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimarães, Ashman, Tia-Lynn, Asmara, Degi Harja, Asner, Gregory P., Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup-Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J., Bakker, Jan P., Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R., Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo-Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Bergmann Carlucci, Marcos, Berner, Logan, Bernhardt-Römermann, Markus, Bigler, Christof, Bjorkman, Anne D., Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra-González, Kelly T., Boeckx, Pascal, Bohlman, Stephanie, Böhning-Gaese, Katrin, Boisvert-Marsh, Laura, Bond, William, Bond-Lamberty, Ben, Boom, Arnoud, Boonman, Coline C.F., Bordin, Kauane, Boughton, Elizabeth H., Boukili, Vanessa, Bowman, David M.J.S., Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R., Brown, Kerry A., Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W., Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E., Bürger, Jana, Burrascano, Sabina, Burslem, David F.R.P., Butterfield, Bradley J., Byun, Chaeho, Marques, Marcia, Scalon, Marina C., Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, James, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano-Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A., Cavender-Bares, Jeannine, Cerabolini, Bruno E.L., Cervellini, Marco, Chacón-Madrigal, Eduardo, Chapin, Kenneth, Chapin, F. Stuart, Chelli, Stefano, Chen, Si-Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong-Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluís, Collins, Courtney G., Conti, Luisa, Coomes, David, Cornelissen, Johannes H.C., Cornwell, William K., Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P.G.M., Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthias, da Silva, Ana Carolina, Dahlin, Kyla M., Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang-Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, de Beer, Arend Jacobus, De Frutos, Angel, De Long, Jonathan R., Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicolas, Derroire, Géraldine, Dias, Arildo S., Diaz-Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G., Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E-Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, James, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel-Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F., Fagan, William F., Fagúndez, Jaime, Falster, Daniel S., Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez-Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J., Flynn, Dan F.B., Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Louis, Frangipani, Marcelo, Frank, Dorothea, Frenette-Dussault, Cedric, Freschet, Grégoire T., Fry, Ellen L., Fyllas, Nikolaos M., Mazzochini, Guilherme G., Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García-Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Luis, de Gasper, André Luís, Gea-Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N., Giroldo, Aelton, Glasenhardt, Mary-Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez-Akre, Erika, Gonzalez-Andujar, Jose L., González-Melo, Andrés, González-Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A., Gregor, Thomas, Gross, Nicolas, Guerin, Greg R., Günther, Angela, Gutiérrez, Alvaro G., Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P., Hattingh, Wesley, Hawes, Joseph E., He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana-Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thomas, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L., Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough-Snee, Nate, Hovstad, Knut Anders, Ichie, Tomoaki, Igić, Boris, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M., Izquierdo, Jordi, Jackson, Robert B., Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M., Jandt, Ute, Jansen, Steven, Jenkins, Thomas, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo-Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J., Joly, Carlos Alfredo, Jordan, Gregory J., Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R., Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I., Kinlock, Nicole L., Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thomas, Kjøller, Rasmus, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M.H., Kohyama, Takashi, Koike, Fumito, Kollmann, Johannes, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J.B., Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jonas, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean-Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J., Laughlin, Daniel, Le Bagousse-Pinguet, Yoann, le Maire, Guerric, le Roux, Peter C., le Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L., Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W., Liebergesell, Mario, Lim, Jun Ying, Lin, Yan-Shih, Linares, Juan Carlos, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López-García, Álvaro, Lopez-Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A., Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mendes, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio-Silva, Vinicius, Marcon, Eric, Marignani, Michela, Markesteijn, Lars, Martin, Adam, Martínez-Garza, Cristina, Martínez-Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, McCarthy, James, McCormack, M. Luke, McCulloh, Katherine, McFadden, Ian R., McGill, Brian J., McPartland, Mara Y., Medeiros, Juliana S., Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P.L., Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T., Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E.D., Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T., Molnár V, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A., Monty, Arnaud, Moravcová, Lenka, Moreno-Martínez, Alvaro, Moretti, Marco, Mori, Akira S., Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D., Müller, Sandra Cristina, Munoz, François, Myers-Smith, Isla H., Myster, Randall W., Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S., Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Network, The Nutrient, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly-Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E., Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E., Ordonez, Jenny C., Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E., Ozinga, Wim A., Pahl, Anna T., Paine, C.E. Timothy, Pakeman, Robin J., Papageorgiou, Aristotelis C., Parfionova, Evgeniya, Pärtel, Meelis, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G., Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Luis, Petisco-Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L., Pierce, Simon, Pillar, Valério D., Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A. Shafer, Power, Sally A., Prinzing, Andreas, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johannes, Ray, Courtenay A., Reich, Peter B., Reichstein, Markus, Reid, Douglas E.B., Réjou-Méchain, Maxime, de Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C., Riviera, Fiamma, Robert, Elisabeth M.R., Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Vinicius, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A., Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B., Royer-Tardif, Samuel, Rüger, Nadja, Ruiz-Peinado, Ricardo, Rumpf, Sabine B., Rusch, Graciela M., Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado-Negret, Beatriz, Salguero-Gomez, Roberto, Santa-Regina, Ignacio, Santacruz-García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer-Lorenzen, Michael, Schleuning, Matthias, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V., Schowanek, Simon D., Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C., Sharpe, Joanne M., Sheppard, Christine S., Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlos, Silva, Vasco, Silva, Mateus, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G., Sodhi, Darwin, Soltis, Pamela, Soltis, Douglas, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski Jr, Enio Egon, Soudzilovskaia, Nadejda A., Souza, Alexandre F., Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B., Stegen, James, Steinbauer, Klaus, Stephan, Jörg G., Sterck, Frank, Stojanovic, Dejan B., Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens-Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, te Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E., Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G., Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres-Ruiz, José M., Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L., Tsiripidis, Ioannis, Tysklind, Niklas, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, van Bodegom, Peter M., van Breugel, Michiel, Van Cleemput, Elisa, van de Weg, Martine, van der Merwe, Stephni, van der Plas, Fons, van der Sande, Masha T., van Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J., Verbeeck, Hans, Verheyen, Kris, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P., Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, James, Weber, Ulrich, Weedon, James T., Wei, Liping, Weigelt, Patrick, Weiher, Evan, Wells, Aidan W., Wellstein, Camilla, Wenk, Elizabeth, Westoby, Mark, Westwood, Alana, White, Philip John, Whitten, Mark, Williams, Mathew, Winkler, Daniel E., Winter, Klaus, Womack, Chevonne, Wright, Ian J., Wright, S. Joseph, Wright, Justin, Pinho, Bruno X., Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Kátia Janaina, Zanne, Amy E., Zelený, David, Zhao, Yun-Peng, Zheng, Jingming, Zheng, Ji, Ziemińska, Kasia, Zirbel, Chad R., Zizka, Georg, Zo-Bi, Irié Casimir, Zotz, Gerhard, and Wirth, Christian

Abstract

Plant traits — the morphological, anatomical, physiological, biochemical and phenological characteristics of plants — determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

Published
2020

31. Resource partitioning among savanna grazers mediated by local heterogeneity: an experimental approach

Author

Cromsigt, Joris P.G.M. and Olff, Han

Subjects
Resource partitioning (Ecology) -- Research, Grazing -- Research, Biological sciences, Environmental issues
Abstract

Recent theoretical studies predict that body size-related interspecific differences in spatial scale of perception and resource use may contribute to coexistence of species that compete for the same class of resources. These studies provide a new theoretical framework for explaining resource partitioning patterns among African ungulates that coexist in spatially heterogeneous savanna grasslands. According to these studies, different-sized ungulates can coexist because larger species forage at a coarser scale but can tolerate lower quality food, whereas smaller species need higher quality food but forage at a finer scale. To test this hypothesis in an African savanna, we created an experimental mosaic with variation in grain (spatial detail) and quality of short-grass patches and directly observed the visitation of naturally occurring grazers to this mosaic over a two-year period (total of 903 observation hours). Of the seven species that visited our experiment, warthog, impala, zebra, and white rhino visited long enough to allow data analysis. We showed that warthog and impala avoided plots with a finer grain of short grass and that warthog preferred fertilized plots to unfertilized plots. Zebra and white rhino did not avoid the finer grain plots. Our results suggest that differences in grain and quality of a resource might indeed contribute to partitioning of this resource by savanna ungulates. Although four focal species is unusually high for an experimental study on resource partitioning among naturally occurring savanna ungulates, this number is too low to evaluate the allometric basis of our hypothesis. Our results, however, encourage wider experimental testing of the role of spatial heterogeneity in facilitating the coexistence of potentially competing savanna herbivores. Key words: African ungulates; body size; community ecology; experimental testing; food quality; large herbivores; resource grain; resource partitioning; savanna grasslands; spatial heterogeneity.

Published
2006

35. Pictures or pellets? Comparing camera trapping and dung counts as methods for estimating population densities of ungulates

Author

Pfeffer, Sabine E., Spitzer, Robert, Allen, Andrew M., Hofmeester, Tim R., Ericsson, Göran, Widemo, Fredrik, Singh, Navinder J., and Cromsigt, Joris P.G.M.

Subjects
wildlife monitoring, Animal Ecology and Physiology, Wildlife Ecology and Conservation, Camera traps, pellet counts, population estimates, ungulates, random encounter model, PE&RC, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

Across the northern hemisphere, land use changes and, possibly, warmer winters are leading to more abundant and diverse ungulate communities causing increased socioeconomic and ecological consequences. Reliable population estimates are crucial for sustainable management, but it is currently unclear which monitoring method is most suitable to track changes in multi-species assemblages. We compared dung counts and camera trapping as two non-invasive census methods to estimate population densities of moose Alces alces and roe deer Capreolus capreolus in Northern Sweden. For camera trapping, we tested the random encounter model (REM) which can estimate densities without the need to recognize individual animals. We evaluated different simplification options of the REM in terms of estimates of detection distance and angle (raw data vs. modelled) and of daily movement rate (camera trap based vs. telemetry based). In comparison to density estimates from camera traps, we found that, dung counts appeared to underestimate population density for roe deer, but not for moose. Estimates of detection distance and angle from modelled versus raw camera data resulted in nearly identical outcomes. The telemetry-derived daily movement rate for moose and roe deer resulted in much higher density estimates than the camera trap-derived estimates. We suggest that camera trapping may be a robust complement to dung counts when monitoring ungulate communities, particularly when similarities between dung pellets from sympatric deer species make unambiguous assignment difficult. Moreover, we show that a simplified use of the REM method holds great potential for large-scale citizen science-based programmes (e.g. involving hunters) that can track the rapidly changing European wildlife landscape. We suggest to include camera trapping in management programmes, where the analysis can be verified via web-based applications.

Published
2017
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36. The blame game: Using eDNA to identify species-specific tree browsing by red deer (Cervus elaphus) and roe deer (Capreolus capreolus) in a temperate forest

Author

van Beeck Calkoen, Suzanne T.S., Leigh-Moy, Kieran, Cromsigt, Joris P.G.M., Spong, Göran, Lebeau, Leo C., Heurich, Marco, and Environmental Sciences

Subjects
Browsing patterns, Wildlife management, Deer browsing, Environmental DNA, Foraging patterns
Abstract

Increasing deer populations in many temperate regions can affect tree regeneration, resulting in severe long-term impacts on forest structure, composition and diversity. Of the most common deer species in Europe — red deer (Cervus elaphus) and roe deer (Capreolus capreolus) — roe deer are generally thought to have the highest impact on palatable tree species owing to their feeding niche. Although browsing and its potential consequences are well researched, less is known about the influence of specific deer species within multi-species ungulate communities on specific tree species. Environmental DNA (eDNA) allows the determination of species-specific browsing habits without the need for direct observations, facilitating effective targeting of management interventions. In this study eDNA was used to elucidate the browsing patterns of these two deer species in the temperate forest of the Bavarian Forest National Park, Germany and analysed the influence of tree species, management type and height of browsing, on the success rate of the method. Samples were collected from twigs used in feeding trials from enclosures containing red deer or roe deer and from naturally browsed twigs in three different management types within the national park. eDNA was successfully amplified from 98% of the feeding trial samples, and the correct deer species was identified for all samples. eDNA was successfully amplified from approximately 50% of the naturally browsed samples. Neither management type, tree species, nor height of browsing had any significant influence on the success of the method. For silver fir and rowan, no significant difference was found in the proportion of browsing events attributable to roe or red deer, when the two deer species occur at similar densities. These results indicate that roe deer might not always be disproportionately responsible for the browsing of palatable tree species as expected from its food niche. Roe deer were significantly more responsible for browsing at lower heights than red deer. Although not statistically significant, roe deer were more responsible for browsing in intact forest compared to bark-beetle-impact forest, with the opposite relationship for red deer.

Published
2019

37. Elephant effects on treefall and logfall highlight the absence of megaherbivores in coarse woody debris conceptual frameworks

Author

Landman, Marietjie, Mgqatsa, Nokubonga, Cromsigt, Joris P.G.M., Kerley, Graham I.H., and Environmental Sciences

Subjects
Treefall, Restoration, Shifting baseline, Megafauna extinction, Logs
Abstract

Despite the importance of coarse woody debris (CWD) in woody ecosystems, conceptual frameworks of its dynamics currently exclude the role of the megaherbivores, focusing instead on the role of insects, disease, fire, wind and droughts. However, recognizing the ecological roles of the megaherbivores is one of the most urgent contemporary issues, particularly as their decline will likely have unanticipated outcomes at the ecosystem-level. Here we used sites with and without elephants in a semi-arid woodland ecosystem in South Africa to test whether elephants changed the quantitative and qualitative features of the CWD profile in relation to other wood producers. We show that elephants increased the abundance of CWD, influenced its quality by toppling mostly maturing trees, and changed the distribution of large woody items along gentle hillslopes. Surprisingly, and despite the recognized importance of both CWD and elephants for biodiversity, there is almost no published data on the role of elephants in shaping wood-living communities by changing fallen woody debris dynamics. Our study contributes towards developing a broader conceptual framework of CWD dynamics that includes the role of megaherbivores and provides a novel view of the ecological consequences of the loss of the Pleistocene megaherbivores. Our findings have important implications for CWD restoration efforts in transformed systems that previously supported megaherbivores.

Published
2019

38. Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi‐species comparison

Author

Hofmeester, Tim R., Cromsigt, Joris P.G.M., Odden, John, Andrén, Henrik, Kindberg, Jonas, Linnell, John Durrus, and Environmental Sciences

Subjects
detectability, animal characteristics, reuse of data, mammal monitoring, trail camera, Zoology and botany: 480 [VDP], Zoologiske og botaniske fag: 480 [VDP], environmental variables
Abstract

Obtaining reliable species observations is of great importance in animal ecology and wildlife conservation. An increasing number of studies use camera traps (CTs) to study wildlife communities, and an increasing effort is made to make better use and reuse of the large amounts of data that are produced. It is in these circumstances that it becomes paramount to correct for the species‐ and study‐specific variation in imperfect detection within CTs. We reviewed the literature and used our own experience to compile a list of factors that affect CT detection of animals. We did this within a conceptual framework of six distinct scales separating out the influences of (a) animal characteristics, (b) CT specifications, (c) CT set‐up protocols, and (d) environmental variables. We identified 40 factors that can potentially influence the detection of animals by CTs at these six scales. Many of these factors were related to only a few overarching parameters. Most of the animal characteristics scale with body mass and diet type, and most environmental characteristics differ with season or latitude such that remote sensing products like NDVI could be used as a proxy index to capture this variation. Factors that influence detection at the microsite and camera scales are probably the most important in determining CT detection of animals. The type of study and specific research question will determine which factors should be corrected. Corrections can be done by directly adjusting the CT metric of interest or by using covariates in a statistical framework. Our conceptual framework can be used to design better CT studies and help when analyzing CT data. Furthermore, it provides an overview of which factors should be reported in CT studies to make them repeatable, comparable, and their data reusable. This should greatly improve the possibilities for global scale analyses of (reused) CT data. animal characteristics, detectability, environmental variables, mammal monitoring, reuse of data, trail camera

Published
2019

39. Simulated elephant-induced habitat changes can create dynamic landscapes of fear

Author

Fležar, Urša, le Roux, Elizabeth, Kerley, Graham I.H., Kuijper, Dries P.J., te Beest, Mariska, Druce, Dave J., Prinsloo, Dominique, Cromsigt, Joris P.G.M., Fležar, Urša, le Roux, Elizabeth, Kerley, Graham I.H., Kuijper, Dries P.J., te Beest, Mariska, Druce, Dave J., Prinsloo, Dominique, and Cromsigt, Joris P.G.M.

Abstract

Landscapes of fear have become widely studied in the northern hemisphere, but are still largely understudied in the more complex, diverse carnivore-prey communities of Africa. Habitat changes brought about by a megaherbivore, the African elephant (Loxodonta africana), can modify the perceived landscape of fear by predation vulnerable prey species (impala Aepyceros melampus and warthog Phacochoerus africanus) in contrast with non-prey species (white rhinoceros Ceratotherium simum). We hypothesized that by opening up woody vegetation, elephants may modify perceived risk at a landscape-scale, but also at a fine scale by depositing escape impediments in the form of coarse woody debris. We experimentally tested this in Hluhluwe-iMfolozi Park, South Africa, by simulating elephant-induced habitat changes on patch scale (opening up woody vegetation) and within-patch scale (deposition of coarse woody debris) and monitoring the herbivore visitation using camera traps. We compared visitation on the edge of grazing lawns (in proximity of dense vegetation) and the centre (open, highly visible patches), either with or without coarse woody debris and with or without fresh predator scat. We found that mesoherbivore prey species showed contrasting responses, with warthog avoiding plots close to dense vegetation and plots with coarse woody debris. Impala reduced their visitation to dense vegetation patches only during risky times, at night, especially in the presence of predator scat, but did not clearly avoid plots with coarse woody debris. Our study indicates that, in African savannas, the perceived landscape of fear is a highly dynamic phenomenon varying in both space and time and being species-specific. Elephant induced habitat changes may shape landscapes of fear in complex and contrasting ways.

Published
2019

42. Simulated elephant-induced habitat changes can create dynamic landscapes of fear

Author

Spatial Ecology and Global Change, Environmental Sciences, Fležar, Urša, le Roux, Elizabeth, Kerley, Graham I.H., Kuijper, Dries P.J., te Beest, Mariska, Druce, Dave J., Prinsloo, Dominique, Cromsigt, Joris P.G.M., Spatial Ecology and Global Change, Environmental Sciences, Fležar, Urša, le Roux, Elizabeth, Kerley, Graham I.H., Kuijper, Dries P.J., te Beest, Mariska, Druce, Dave J., Prinsloo, Dominique, and Cromsigt, Joris P.G.M.

Published
2019

43. Comparing the impact of a grazing regime with European bison versus one with free-ranging cattle on coastal dune vegetation in the Netherlands

Author

Valdés-Correcher, E., Rodriguez, Esther, Kemp, Yvonne J.M., Wassen, Martin J., Cromsigt, Joris P.G.M., Environmental Sciences, Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), PWN Waterleidingbedrijf Noord-Holland, Partenaires INRAE, ARK Nature, Utrecht University [Utrecht], Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Nelson Mandela Metropolitan University, and Environmental Sciences

Subjects
0106 biological sciences, Evolution, [SDV]Life Sciences [q-bio], ved/biology.organism_classification_rank.species, Biodiversity, 010603 evolutionary biology, 01 natural sciences, Shrub, European bison, Grazing regime, Behavior and Systematics, Grazing, 14. Life underwater, Woody encroachment, Ecology, Evolution, Behavior and Systematics, 2. Zero hunger, Herbivore, Ecology, ved/biology, National park, The Netherlands, Vegetation, 15. Life on land, 010601 ecology, Geography, Animal ecology, Animal Science and Zoology, Woody plant
Abstract

International audience; Woody plant encroachment has increased across the globe and threatens biodiversity associated with open habitats. In order to prevent or reduce woody encroachment, conservation managers across Europe introduce large mammalian herbivores. While up to recently, managers were mostly using free-ranging domestic cattle and horses for this, there is an increasing interest in the use of European bison for nature management. However, we lack studies that compare the impact of these different grazers on vegetation. We report results from a unique grazing pilot in the National Park Zuid-Kennemerland, a heterogeneous coastal dune landscape in the Netherlands, where European bison, horses, and cattle were introduced to reverse the encroachment of grass and shrub species. We present results of an 8-year study on the development of woody and grassy vegetation on fixed transects in three different grazing areas within the national park; one area with European bison and horses, one area with cattle and horses, and one area where these large grazers were excluded. In all three areas, rabbit, fallow deer, and roe deer were present. Over time, we observed strong reductions in the vitality of several woody species, such as spindle tree, and this decline was similar across all areas. Grass height and cover also declined and the proportion of herbs increased in all three grazing areas in similar ways. However, the type of herbivore use (debarking, foraging on buds, branches) of several woody species differed significantly among areas. For instance, maple tree was only debarked in the E. bison area, while hawthorn branches were eaten significantly more in the cattle than in the bison area. Due to differences in herbivore densities among areas, it was difficult to draw strong conclusions on how the different herbivore species differed in their impact, but, importantly, we found that grazing regimes with bison can lead to as strong effects on vegetation structure and composition as grazing regimes with cattle. This is an important result since certain conditions, such as legal aspects, may motivate managers to introduce a wild large grazer rather than a domesticated one.

Published
2018
Full Text
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48. Pictures or pellets? Comparing camera trapping and dung counts as methods for estimating population densities of ungulates

Author

Pfeffer, Sabine E., Spitzer, Robert, Allen, Andrew M., Hofmeester, Tim R., Ericsson, Göran, Widemo, Fredrik, Singh, Navinder J., Cromsigt, Joris P.G.M., Pfeffer, Sabine E., Spitzer, Robert, Allen, Andrew M., Hofmeester, Tim R., Ericsson, Göran, Widemo, Fredrik, Singh, Navinder J., and Cromsigt, Joris P.G.M.

Abstract

Across the northern hemisphere, land use changes and, possibly, warmer winters are leading to more abundant and diverse ungulate communities causing increased socioeconomic and ecological consequences. Reliable population estimates are crucial for sustainable management, but it is currently unclear which monitoring method is most suitable to track changes in multi-species assemblages. We compared dung counts and camera trapping as two non-invasive census methods to estimate population densities of moose Alces alces and roe deer Capreolus capreolus in Northern Sweden. For camera trapping, we tested the random encounter model (REM) which can estimate densities without the need to recognize individual animals. We evaluated different simplification options of the REM in terms of estimates of detection distance and angle (raw data vs. modelled) and of daily movement rate (camera trap based vs. telemetry based). In comparison to density estimates from camera traps, we found that, dung counts appeared to underestimate population density for roe deer, but not for moose. Estimates of detection distance and angle from modelled versus raw camera data resulted in nearly identical outcomes. The telemetry-derived daily movement rate for moose and roe deer resulted in much higher density estimates than the camera trap-derived estimates. We suggest that camera trapping may be a robust complement to dung counts when monitoring ungulate communities, particularly when similarities between dung pellets from sympatric deer species make unambiguous assignment difficult. Moreover, we show that a simplified use of the REM method holds great potential for large-scale citizen science-based programmes (e.g. involving hunters) that can track the rapidly changing European wildlife landscape. We suggest to include camera trapping in management programmes, where the analysis can be verified via web-based applications.

Published
2018

49. Data from: Does wolf presence reduce moose browsing intensity in young forest plantations?

Author

van Beeck Calkoen, Suzanne T.S., Kuijper, Dries P.J., Sand, Håkan, Singh, Navinder J., van Wieren, S.E., Cromsigt, Joris P.G.M., van Beeck Calkoen, Suzanne T.S., Kuijper, Dries P.J., Sand, Håkan, Singh, Navinder J., van Wieren, S.E., and Cromsigt, Joris P.G.M.

Abstract

Large carnivores can be a key factor in shaping their ungulate prey’s behavior, which may affect lower trophic levels. While most studies on trade-offs between food acquisition and risk avoidance by ungulate prey species have been conducted in areas with limited human impact, carnivores are now increasingly returning to highly anthropogenic landscapes. Many of these landscapes are dominated by forestry, and ungulate-forestry conflicts are an increasing issue. The aim of this study was to test if the indirect effects of a re-colonizing large predator, the wolf (Canis lupus), results in a change in browsing intensity by moose (Alces alces) in young forest plantations in a boreal forest in Sweden. We selected 24 different forest plantations, with 12 located in low-wolf and 12 in high-wolf utilization areas. In each plantation, we measured browsing intensity, tree height, tree density, distance to the closest forest edge and we counted the number of moose pellet groups. In contrast to our predictions, wolf utilization was not the main driver of moose browsing patterns. Instead, moose browsing intensity declined with tree density and height. Separate analyses on the main tree species showed that wolf utilization had an influence, but browsing intensity was in fact higher in the high-wolf utilization areas for three out of five tree species. This pattern seemed to be driven by a strong confounding relationship between wolf utilization, tree density and height, which were both lower in the high-wolf utilization areas. We argue that this confounding effect is due to wolves being pushed towards the less productive parts of the landscape away from human activity centers. Therefore, we concluded that in order to better understand carnivore driven risk- mediated effects on herbivore behavior in anthropogenic landscapes we need to better understand the complexity of human-carnivore-prey-ecosystem interactions.

Published
2018

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