Search

Your search keyword '"Risch, Anita C."' showing total 29 results
Start Over Author "Risch, Anita C." Topic ecology
29 results on '"Risch, Anita C."'

1. Nitrogen increases early‐stage and slows late‐stage decomposition across diverse grasslands

Author

Gill, Allison L, Adler, Peter B, Borer, Elizabeth T, Buyarski, Christopher R, Cleland, Elsa E, D'Antonio, Carla M, Davies, Kendi F, Gruner, Daniel S, Harpole, W Stanley, Hofmockel, Kirsten S, MacDougall, Andrew S, McCulley, Rebecca L, Melbourne, Brett A, Moore, Joslin L, Morgan, John W, Risch, Anita C, Schütz, Martin, Seabloom, Eric W, Wright, Justin P, Yang, Louie H, and Hobbie, Sarah E

Subjects
Biological Sciences, Ecology, Prevention, grasslands, litter decomposition, nitrogen, nitrogen deposition, Nutrient Network, phosphorus, Environmental Sciences, Agricultural and Veterinary Sciences
Abstract

To evaluate how increased anthropogenic nutrient inputs alter carbon cycling in grasslands, we conducted a litter decomposition study across 20 temperate grasslands on three continents within the Nutrient Network, a globally distributed nutrient enrichment experiment We determined the effects of addition of experimental nitrogen (N), phosphorus (P) and potassium plus micronutrient (Kμ) on decomposition of a common tree leaf litter in a long-term study (maximum of 7 years; exact deployment period varied across sites). The use of higher order decomposition models allowed us to distinguish between the effects of nutrients on early- versus late-stage decomposition. Across continents, the addition of N (but not other nutrients) accelerated early-stage decomposition and slowed late-stage decomposition, increasing the slowly decomposing fraction by 28% and the overall litter mean residence time by 58%. Synthesis. Using a novel, long-term cross-site experiment, we found widespread evidence that N enhances the early stages of above-ground plant litter decomposition across diverse and widespread temperate grassland sites but slows late-stage decomposition. These findings were corroborated by fitting the data to multiple decomposition models and have implications for N effects on soil organic matter formation. For example, following N enrichment, increased microbial processing of litter substrates early in decomposition could promote the production and transfer of low molecular weight compounds to soils and potentially enhance the stabilization of mineral-associated organic matter. By contrast, by slowing late-stage decomposition, N enrichment could promote particulate organic matter (POM) accumulation. Such hypotheses deserve further testing.

Published
2022

2. Nutrient availability controls the impact of mammalian herbivores on soil carbon and nitrogen pools in grasslands

Author

Sitters, Judith, Wubs, ER Jasper, Bakker, Elisabeth S, Crowther, Thomas W, Adler, Peter B, Bagchi, Sumanta, Bakker, Jonathan D, Biederman, Lori, Borer, Elizabeth T, Cleland, Elsa E, Eisenhauer, Nico, Firn, Jennifer, Gherardi, Laureano, Hagenah, Nicole, Hautier, Yann, Hobbie, Sarah E, Knops, Johannes MH, MacDougall, Andrew S, McCulley, Rebecca L, Moore, Joslin L, Mortensen, Brent, Peri, Pablo L, Prober, Suzanne M, Riggs, Charlotte, Risch, Anita C, Schütz, Martin, Seabloom, Eric W, Siebert, Julia, Stevens, Carly J, and Veen, GF Ciska

Subjects
Climate Action, carbon sequestration, exclosure, fertilization, global change, grazing, herbivory, nutrient dynamics, nutrient enrichment, Nutrient Network, soil microorganisms, Environmental Sciences, Biological Sciences, Ecology
Abstract

Grasslands are subject to considerable alteration due to human activities globally, including widespread changes in populations and composition of large mammalian herbivores and elevated supply of nutrients. Grassland soils remain important reservoirs of carbon (C) and nitrogen (N). Herbivores may affect both C and N pools and these changes likely interact with increases in soil nutrient availability. Given the scale of grassland soil fluxes, such changes can have striking consequences for atmospheric C concentrations and the climate. Here, we use the Nutrient Network experiment to examine the responses of soil C and N pools to mammalian herbivore exclusion across 22 grasslands, under ambient and elevated nutrient availabilities (fertilized with NPK + micronutrients). We show that the impact of herbivore exclusion on soil C and N pools depends on fertilization. Under ambient nutrient conditions, we observed no effect of herbivore exclusion, but under elevated nutrient supply, pools are smaller upon herbivore exclusion. The highest mean soil C and N pools were found in grazed and fertilized plots. The decrease in soil C and N upon herbivore exclusion in combination with fertilization correlated with a decrease in aboveground plant biomass and microbial activity, indicating a reduced storage of organic matter and microbial residues as soil C and N. The response of soil C and N pools to herbivore exclusion was contingent on temperature - herbivores likely cause losses of C and N in colder sites and increases in warmer sites. Additionally, grasslands that contain mammalian herbivores have the potential to sequester more N under increased temperature variability and nutrient enrichment than ungrazed grasslands. Our study highlights the importance of conserving mammalian herbivore populations in grasslands worldwide. We need to incorporate local-scale herbivory, and its interaction with nutrient enrichment and climate, within global-scale models to better predict land-atmosphere interactions under future climate change.

Published
2020

3. Belowground Biomass Response to Nutrient Enrichment Depends on Light Limitation Across Globally Distributed Grasslands

Author

Cleland, Elsa E, Lind, Eric M, DeCrappeo, Nicole M, DeLorenze, Elizabeth, Wilkins, Rachel Abbott, Adler, Peter B, Bakker, Jonathan D, Brown, Cynthia S, Davies, Kendi F, Esch, Ellen, Firn, Jennifer, Gressard, Scott, Gruner, Daniel S, Hagenah, Nicole, Harpole, W Stanley, Hautier, Yann, Hobbie, Sarah E, Hofmockel, Kirsten S, Kirkman, Kevin, Knops, Johannes, Kopp, Christopher W, La Pierre, Kimberly J, MacDougall, Andrew, McCulley, Rebecca L, Melbourne, Brett A, Moore, Joslin L, Prober, Suzanne M, Riggs, Charlotte, Risch, Anita C, Schuetz, Martin, Stevens, Carly, Wragg, Peter D, Wright, Justin, Borer, Elizabeth T, and Seabloom, Eric W

Subjects
belowground biomass, fertilization, nitrogen, Nutrient Network, optimal allocation, phosphorus, roots, Ecology, Environmental Sciences, Biological Sciences
Published
2019

4. Spatial heterogeneity in species composition constrains plant community responses to herbivory and fertilisation.

Author

Hodapp, Dorothee, Borer, Elizabeth T, Harpole, W Stanley, Lind, Eric M, Seabloom, Eric W, Adler, Peter B, Alberti, Juan, Arnillas, Carlos A, Bakker, Jonathan D, Biederman, Lori, Cadotte, Marc, Cleland, Elsa E, Collins, Scott, Fay, Philip A, Firn, Jennifer, Hagenah, Nicole, Hautier, Yann, Iribarne, Oscar, Knops, Johannes MH, McCulley, Rebecca L, MacDougall, Andrew, Moore, Joslin L, Morgan, John W, Mortensen, Brent, La Pierre, Kimberly J, Risch, Anita C, Schütz, Martin, Peri, Pablo, Stevens, Carly J, Wright, Justin, and Hillebrand, Helmut

Subjects
Plants, Biodiversity, Herbivory, Beta diversity, Nutrient Network, diversity, fertilisation, grassland, nitrogen, spatial heterogeneity, species composition, temporal turnover, Ecological Applications, Ecology, Evolutionary Biology
Abstract

Environmental change can result in substantial shifts in community composition. The associated immigration and extinction events are likely constrained by the spatial distribution of species. Still, studies on environmental change typically quantify biotic responses at single spatial (time series within a single plot) or temporal (spatial beta diversity at single time points) scales, ignoring their potential interdependence. Here, we use data from a global network of grassland experiments to determine how turnover responses to two major forms of environmental change - fertilisation and herbivore loss - are affected by species pool size and spatial compositional heterogeneity. Fertilisation led to higher rates of local extinction, whereas turnover in herbivore exclusion plots was driven by species replacement. Overall, sites with more spatially heterogeneous composition showed significantly higher rates of annual turnover, independent of species pool size and treatment. Taking into account spatial biodiversity aspects will therefore improve our understanding of consequences of global and anthropogenic change on community dynamics.

Published
2018

5. Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide.

Author

Prober, Suzanne M, Leff, Jonathan W, Bates, Scott T, Borer, Elizabeth T, Firn, Jennifer, Harpole, W Stanley, Lind, Eric M, Seabloom, Eric W, Adler, Peter B, Bakker, Jonathan D, Cleland, Elsa E, DeCrappeo, Nicole M, DeLorenze, Elizabeth, Hagenah, Nicole, Hautier, Yann, Hofmockel, Kirsten S, Kirkman, Kevin P, Knops, Johannes MH, La Pierre, Kimberly J, MacDougall, Andrew S, McCulley, Rebecca L, Mitchell, Charles E, Risch, Anita C, Schuetz, Martin, Stevens, Carly J, Williams, Ryan J, and Fierer, Noah

Subjects
Bacteria, Fungi, Plants, Archaea, Linear Models, Soil Microbiology, Biodiversity, Biota, Grassland, Aboveground-belowground interactions, archaea, bacteria, fungi, grasslands, microbial biogeography, soil biodiversity, Ecological Applications, Ecology, Evolutionary Biology
Abstract

Aboveground-belowground interactions exert critical controls on the composition and function of terrestrial ecosystems, yet the fundamental relationships between plant diversity and soil microbial diversity remain elusive. Theory predicts predominantly positive associations but tests within single sites have shown variable relationships, and associations between plant and microbial diversity across broad spatial scales remain largely unexplored. We compared the diversity of plant, bacterial, archaeal and fungal communities in one hundred and forty-five 1 m(2) plots across 25 temperate grassland sites from four continents. Across sites, the plant alpha diversity patterns were poorly related to those observed for any soil microbial group. However, plant beta diversity (compositional dissimilarity between sites) was significantly correlated with the beta diversity of bacterial and fungal communities, even after controlling for environmental factors. Thus, across a global range of temperate grasslands, plant diversity can predict patterns in the composition of soil microbial communities, but not patterns in alpha diversity.

Published
2015

6. Grassland productivity limited by multiple nutrients

Author

Fay, Philip A, Prober, Suzanne M, Harpole, W Stanley, Knops, Johannes MH, Bakker, Jonathan D, Borer, Elizabeth T, Lind, Eric M, MacDougall, Andrew S, Seabloom, Eric W, Wragg, Peter D, Adler, Peter B, Blumenthal, Dana M, Buckley, Yvonne M, Chu, Chengjin, Cleland, Elsa E, Collins, Scott L, Davies, Kendi F, Du, Guozhen, Feng, Xiaohui, Firn, Jennifer, Gruner, Daniel S, Hagenah, Nicole, Hautier, Yann, Heckman, Robert W, Jin, Virginia L, Kirkman, Kevin P, Klein, Julia, Ladwig, Laura M, Li, Qi, McCulley, Rebecca L, Melbourne, Brett A, Mitchell, Charles E, Moore, Joslin L, Morgan, John W, Risch, Anita C, Schütz, Martin, Stevens, Carly J, Wedin, David A, and Yang, Louie H

Subjects
Biological Sciences, Ecology, Nutrition, Prevention, Plant Biology, Crop and Pasture Production, Plant biology
Abstract

Terrestrial ecosystem productivity is widely accepted to be nutrient limited(1). Although nitrogen (N) is deemed a key determinant of aboveground net primary production (ANPP)(2,3), the prevalence of co-limitation by N and phosphorus (P) is increasingly recognized(4-8). However, the extent to which terrestrial productivity is co-limited by nutrients other than N and P has remained unclear. Here, we report results from a standardized factorial nutrient addition experiment, in which we added N, P and potassium (K) combined with a selection of micronutrients (K+μ), alone or in concert, to 42 grassland sites spanning five continents, and monitored ANPP. Nutrient availability limited productivity at 31 of the 42 grassland sites. And pairwise combinations of N, P, and K+μ co-limited ANPP at 29 of the sites. Nitrogen limitation peaked in cool, high latitude sites. Our findings highlight the importance of less studied nutrients, such as K and micronutrients, for grassland productivity, and point to significant variations in the type and degree of nutrient limitation. We suggest that multiple-nutrient constraints must be considered when assessing the ecosystem-scale consequences of nutrient enrichment.

Published
2015

7. Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands

Author

Seabloom, Eric W, Borer, Elizabeth T, Buckley, Yvonne M, Cleland, Elsa E, Davies, Kendi F, Firn, Jennifer, Harpole, W Stanley, Hautier, Yann, Lind, Eric M, MacDougall, Andrew S, Orrock, John L, Prober, Suzanne M, Adler, Peter B, Anderson, T Michael, Bakker, Jonathan D, Biederman, Lori A, Blumenthal, Dana M, Brown, Cynthia S, Brudvig, Lars A, Cadotte, Marc, Chu, Chengjin, Cottingham, Kathryn L, Crawley, Michael J, Damschen, Ellen I, Dantonio, Carla M, DeCrappeo, Nicole M, Du, Guozhen, Fay, Philip A, Frater, Paul, Gruner, Daniel S, Hagenah, Nicole, Hector, Andy, Hillebrand, Helmut, Hofmockel, Kirsten S, Humphries, Hope C, Jin, Virginia L, Kay, Adam, Kirkman, Kevin P, Klein, Julia A, Knops, Johannes MH, La Pierre, Kimberly J, Ladwig, Laura, Lambrinos, John G, Li, Qi, Li, Wei, Marushia, Robin, McCulley, Rebecca L, Melbourne, Brett A, Mitchell, Charles E, Moore, Joslin L, Morgan, John, Mortensen, Brent, O'Halloran, Lydia R, Pyke, David A, Risch, Anita C, Sankaran, Mahesh, Schuetz, Martin, Simonsen, Anna, Smith, Melinda D, Stevens, Carly J, Sullivan, Lauren, Wolkovich, Elizabeth, Wragg, Peter D, Wright, Justin, and Yang, Louie

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Life Below Water, Animals, Biodiversity, Ecosystem, Eutrophication, Food, Grassland, Herbivory, Introduced Species, Nitrogen, Phosphorus, Plants, Soil, Vertebrates
Abstract

Exotic species dominate many communities; however the functional significance of species' biogeographic origin remains highly contentious. This debate is fuelled in part by the lack of globally replicated, systematic data assessing the relationship between species provenance, function and response to perturbations. We examined the abundance of native and exotic plant species at 64 grasslands in 13 countries, and at a subset of the sites we experimentally tested native and exotic species responses to two fundamental drivers of invasion, mineral nutrient supplies and vertebrate herbivory. Exotic species are six times more likely to dominate communities than native species. Furthermore, while experimental nutrient addition increases the cover and richness of exotic species, nutrients decrease native diversity and cover. Native and exotic species also differ in their response to vertebrate consumer exclusion. These results suggest that species origin has functional significance, and that eutrophication will lead to increased exotic dominance in grasslands.

Published
2015

8. Environmental heterogeneity modulates the effect of plant diversity on the spatial variability of grassland biomass

Author

Daleo, Pedro, Alberti, Juan, Chaneton, Enrique J, Iribarne, Oscar, Tognetti, Pedro M, Bakker, Jonathan D, Borer, Elizabeth T, Bruschetti, Martín, MacDougall, Andrew S, Pascual, Jesús, Sankaran, Mahesh, Seabloom, Eric W, Wang, Shaopeng, Bagchi, Sumanta, Brudvig, Lars A, Catford, Jane A, Dickman, Chris R, Dickson, Timothy L, Donohue, Ian, Eisenhauer, Nico, Gruner, Daniel S, Haider, Sylvia, Jentsch, Anke, Knops, Johannes M H, Lekberg, Ylva, McCulley, Rebecca L, Moore, Joslin L, Mortensen, Brent, Ohlert, Timothy, Pärtel, Meelis, Peri, Pablo L, Power, Sally A, Risch, Anita C, Rocca, Camila, Smith, Nicholas G, Stevens, Carly, Tamme, Riin, Veen, G F Ciska, Wilfahrt, Peter A, Hautier, Yann, Sub Ecology and Biodiversity, Ecology and Biodiversity, Terrestrial Ecology (TE), Sub Ecology and Biodiversity, and Ecology and Biodiversity

Subjects
Grassland ecology, Homogenization, Multidisciplinary, Light, Ecology, Chemistry(all), Biochemistry, Genetics and Molecular Biology(all), Communities, General Physics and Astronomy, Biodiversity, General Chemistry, Physics and Astronomy(all), General Biochemistry, Genetics and Molecular Biology, Ecosystem stability, Community ecology, Land-use, Biology, Productivity
Abstract

Plant productivity varies due to environmental heterogeneity, and theory suggests that plant diversity can reduce this variation. While there is strong evidence of diversity effects on temporal variability of productivity, whether this mechanism extends to variability across space remains elusive. Here we determine the relationship between plant diversity and spatial variability of productivity in 83 grasslands, and quantify the effect of experimentally increased spatial heterogeneity in environmental conditions on this relationship. We found that communities with higher plant species richness (alpha and gamma diversity) have lower spatial variability of productivity as reduced abundance of some species can be compensated for by increased abundance of other species. In contrast, high species dissimilarity among local communities (beta diversity) is positively associated with spatial variability of productivity, suggesting that changes in species composition can scale up to affect productivity. Experimentally increased spatial environmental heterogeneity weakens the effect of plant alpha and gamma diversity, and reveals that beta diversity can simultaneously decrease and increase spatial variability of productivity. Our findings unveil the generality of the diversity-stability theory across space, and suggest that reduced local diversity and biotic homogenization can affect the spatial reliability of key ecosystem functions.

Published
2023

9. Herbivores and nutrients control grassland plant diversity via light limitation

Author

Borer, Elizabeth T, Seabloom, Eric W, Gruner, Daniel S, Harpole, W Stanley, Hillebrand, Helmut, Lind, Eric M, Adler, Peter B, Alberti, Juan, Anderson, T Michael, Bakker, Jonathan D, Biederman, Lori, Blumenthal, Dana, Brown, Cynthia S, Brudvig, Lars A, Buckley, Yvonne M, Cadotte, Marc, Chu, Chengjin, Cleland, Elsa E, Crawley, Michael J, Daleo, Pedro, Damschen, Ellen I, Davies, Kendi F, DeCrappeo, Nicole M, Du, Guozhen, Firn, Jennifer, Hautier, Yann, Heckman, Robert W, Hector, Andy, HilleRisLambers, Janneke, Iribarne, Oscar, Klein, Julia A, Knops, Johannes MH, La Pierre, Kimberly J, Leakey, Andrew DB, Li, Wei, MacDougall, Andrew S, McCulley, Rebecca L, Melbourne, Brett A, Mitchell, Charles E, Moore, Joslin L, Mortensen, Brent, O'Halloran, Lydia R, Orrock, John L, Pascual, Jesús, Prober, Suzanne M, Pyke, David A, Risch, Anita C, Schuetz, Martin, Smith, Melinda D, Stevens, Carly J, Sullivan, Lauren L, Williams, Ryan J, Wragg, Peter D, Wright, Justin P, and Yang, Louie H

Subjects
Biological Sciences, Ecology, Nutrition, Biodiversity, Climate, Eutrophication, Geography, Herbivory, Human Activities, Internationality, Light, Nitrogen, Plants, Poaceae, Time Factors, General Science & Technology
Abstract

Human alterations to nutrient cycles and herbivore communities are affecting global biodiversity dramatically. Ecological theory predicts these changes should be strongly counteractive: nutrient addition drives plant species loss through intensified competition for light, whereas herbivores prevent competitive exclusion by increasing ground-level light, particularly in productive systems. Here we use experimental data spanning a globally relevant range of conditions to test the hypothesis that herbaceous plant species losses caused by eutrophication may be offset by increased light availability due to herbivory. This experiment, replicated in 40 grasslands on 6 continents, demonstrates that nutrients and herbivores can serve as counteracting forces to control local plant diversity through light limitation, independent of site productivity, soil nitrogen, herbivore type and climate. Nutrient addition consistently reduced local diversity through light limitation, and herbivory rescued diversity at sites where it alleviated light limitation. Thus, species loss from anthropogenic eutrophication can be ameliorated in grasslands where herbivory increases ground-level light.

Published
2014

10. Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?

Author

Seabloom, Eric W, Borer, Elizabeth T, Buckley, Yvonne, Cleland, Elsa E, Davies, Kendi, Firn, Jennifer, Harpole, W Stanley, Hautier, Yann, Lind, Eric, MacDougall, Andrew, Orrock, John L, Prober, Suzanne M, Adler, Peter, Alberti, Juan, Anderson, T Michael, Bakker, Jonathan D, Biederman, Lori A, Blumenthal, Dana, Brown, Cynthia S, Brudvig, Lars A, Caldeira, Maria, Chu, Chengjin, Crawley, Michael J, Daleo, Pedro, Damschen, Ellen I, D'Antonio, Carla M, DeCrappeo, Nicole M, Dickman, Chris R, Du, Guozhen, Fay, Philip A, Frater, Paul, Gruner, Daniel S, Hagenah, Nicole, Hector, Andrew, Helm, Aveliina, Hillebrand, Helmut, Hofmockel, Kirsten S, Humphries, Hope C, Iribarne, Oscar, Jin, Virginia L, Kay, Adam, Kirkman, Kevin P, Klein, Julia A, Knops, Johannes MH, La Pierre, Kimberly J, Ladwig, Laura M, Lambrinos, John G, Leakey, Andrew DB, Li, Qi, Li, Wei, McCulley, Rebecca, Melbourne, Brett, Mitchell, Charles E, Moore, Joslin L, Morgan, John, Mortensen, Brent, O'Halloran, Lydia R, Pärtel, Meelis, Pascual, Jesús, Pyke, David A, Risch, Anita C, Salguero-Gómez, Roberto, Sankaran, Mahesh, Schuetz, Martin, Simonsen, Anna, Smith, Melinda, Stevens, Carly, Sullivan, Lauren, Wardle, Glenda M, Wolkovich, Elizabeth M, Wragg, Peter D, Wright, Justin, and Yang, Louie

Subjects
Poaceae, Ecosystem, Biodiversity, Introduced Species, Plant Dispersal, Biological Sciences, Environmental Sciences, Ecology
Abstract

Invasions have increased the size of regional species pools, but are typically assumed to reduce native diversity. However, global-scale tests of this assumption have been elusive because of the focus on exotic species richness, rather than relative abundance. This is problematic because low invader richness can indicate invasion resistance by the native community or, alternatively, dominance by a single exotic species. Here, we used a globally replicated study to quantify relationships between exotic richness and abundance in grass-dominated ecosystems in 13 countries on six continents, ranging from salt marshes to alpine tundra. We tested effects of human land use, native community diversity, herbivore pressure, and nutrient limitation on exotic plant dominance. Despite its widespread use, exotic richness was a poor proxy for exotic dominance at low exotic richness, because sites that contained few exotic species ranged from relatively pristine (low exotic richness and cover) to almost completely exotic-dominated ones (low exotic richness but high exotic cover). Both exotic cover and richness were predicted by native plant diversity (native grass richness) and land use (distance to cultivation). Although climate was important for predicting both exotic cover and richness, climatic factors predicting cover (precipitation variability) differed from those predicting richness (maximum temperature and mean temperature in the wettest quarter). Herbivory and nutrient limitation did not predict exotic richness or cover. Exotic dominance was greatest in areas with low native grass richness at the site- or regional-scale. Although this could reflect native grass displacement, a lack of biotic resistance is a more likely explanation, given that grasses comprise the most aggressive invaders. These findings underscore the need to move beyond richness as a surrogate for the extent of invasion, because this metric confounds monodominance with invasion resistance. Monitoring species' relative abundance will more rapidly advance our understanding of invasions.

Published
2013

11. Drivers of the microbial metabolic quotient across global grasslands

Author

Risch, Anita C., Zimmermann, Stephan, Schütz, Martin, Fay, Philip A., Borer, Elizabeth T., Broadbent, Arthur A. D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Hagedorn, Frank, Knops, Johannes M. H., Lembrechts, Jonas J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, and Ochoa-Hueso, Raul

Subjects
CLIMATE, Chemistry, HERBIVORE EXCLUSION, Global and Planetary Change, MICROBIAL BIOMASS CARBON, Ecology, Economics, MICROBIAL RESPIRATION, SOIL PROPERTIES, ANTHROPOGENIC MANAGEMENT, NUTRIENT ADDITION, Biology, Ecology, Evolution, Behavior and Systematics
Abstract

This dataset contains all data on which the following publication below is based. Paper Citation: Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T., Broadbent, Arthur A.D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Fay, Philip A., Hagedorn, Frank, Knops, Johannes M.H., Lembrechts, Jonas, J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Drivers of the microbial metabolic quotient across global grasslands. Global Ecology and Biogeography Please cite this paper together with the citation for the datafile. The microbial metabolic quotient (MMQ; mg CO2-C mg MBC-1 h-1), defined as the amount of microbial CO2 respired (MR; mg CO2-C kg soil-1 h-1) per unit of microbial biomass C (MBC; mg C kg soil-1), is a key parameter for understanding the microbial regulation of the carbon (C) cycle, including soil C sequestration. Here, we experimentally tested hypotheses about the individual and interactive effects of multiple nutrient addition (NPK+micronutrients) and herbivore exclusion on MR, MBC, and MMQ across 23 sites (5 continents). Our sites encompassed a wide range of edaphoclimatic conditions, thus we assessed which edaphoclimatic variables affected MMQ the most and how they interacted with our treatments. Soils were collected in plots with established experimental treatments. MR was assessed in a five-week laboratory incubation without glucose addition, MBC via substrate-induced respiration. MMQ was calculated as MR/MBC and corrected for soil temperatures (MMQsoil). Using LMMs and SEMs, we analysed how edaphoclimatic characteristics and treatments interactively affected MMQsoil. MMQsoil was higher in locations with higher mean annual temperature, lower water holding capacity, and soil organic C concentration, but did not respond to our treatments across sites as neither MR nor MBC changed. We attributed this relative homeostasis to our treatments to the modulating influence of edaphoclimatic variables. For example, herbivore exclusion, regardless of fertilization, led to greater MMQsoil only at sites with lower soil organic C (-1.7%). Our results pinpoint the main variables related to MMQsoil across grasslands and emphasize the importance of the local edaphoclimatic conditions in controlling the response of the C cycle to anthropogenic stressors. By testing hypotheses about MMQsoil across global edaphoclimatic gradients, this work also helps to align the conflicting results of prior studies.

Published
2023

12. Nutrients and herbivores impact grassland stability across spatial scales through different pathways

Author

Chen, Qingqing, Wang, Shaopeng, Seabloom, Eric W, MacDougall, Andrew S, Borer, Elizabeth T, Bakker, Jonathan D, Donohue, Ian, Knops, Johannes M H, Morgan, John W, Carroll, Oliver, Crawley, Mick, Bugalho, Miguel N, Power, Sally A, Eskelinen, Anu, Virtanen, Risto, Risch, Anita C, Schütz, Martin, Stevens, Carly, Caldeira, Maria C, Bagchi, Sumanta, Alberti, Juan, Hautier, Yann, Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, and Ecology and Biodiversity

Subjects
Global and Planetary Change, Ecology, Biodiversity, Nutrients, Grassland, biodiversity-stability, eutrophication, Environmental Science(all), Nutrient Network (NutNet), Taverne, Environmental Chemistry, grazing, Herbivory, cross-scale, Ecosystem, General Environmental Science
Abstract

Nutrients and herbivores are well-known drivers of grassland diversity and stability in local communities. However, whether they interact to impact the stability of aboveground biomass and whether these effects depend on spatial scales remain unknown. It is also unclear whether nutrients and herbivores impact stability via different facets of plant diversity including species richness, evenness, and changes in community composition through time and space. We used a replicated experiment adding nutrients and excluding herbivores for 5 years in 34 global grasslands to explore these questions. We found that both nutrient addition and herbivore exclusion alone reduced stability at the larger spatial scale (aggregated local communities; gamma stability), but through different pathways. Nutrient addition reduced gamma stability primarily by increasing changes in local community composition over time, which was mainly driven by species replacement. Herbivore exclusion reduced gamma stability primarily by decreasing asynchronous dynamics among local communities (spatial asynchrony). Their interaction weakly increased gamma stability by increasing spatial asynchrony. Our findings indicate that disentangling the processes operating at different spatial scales may improve conservation and management aiming at maintaining the ability of ecosystems to reliably provide functions and services for humanity.

Published
2022

13. Evolutionary history of grazing and resources determine herbivore exclusion effects on plant diversity

Author

Price, Jodi N, Sitters, Judith, Ohlert, Timothy, Tognetti, Pedro M, Brown, Cynthia S, Seabloom, Eric W, Borer, Elizabeth T, Prober, Suzanne M, Bakker, Elisabeth S, MacDougall, Andrew S, Yahdjian, Laura, Gruner, Daniel S, Olde Venterink, Harry, Barrio, Isabel C, Graff, Pamela, Bagchi, Sumanta, Arnillas, Carlos Alberto, Bakker, Jonathan D, Blumenthal, Dana M, Boughton, Elizabeth H, Brudvig, Lars A, Bugalho, Miguel N, Cadotte, Marc W, Caldeira, Maria C, Dickman, Chris R, Donohue, Ian, Grégory, Sonnier, Hautier, Yann, Jónsdóttir, Ingibjörg S, Lannes, Luciola S, McCulley, Rebecca L, Moore, Joslin L, Power, Sally A, Risch, Anita C, Schütz, Martin, Standish, Rachel, Stevens, Carly J, Veen, G F, Virtanen, Risto, Wardle, Glenda M, Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, Ecology and Biodiversity, Aquatic Ecology (AqE), and Terrestrial Ecology (TE)

Subjects
Mammals, Vegetation, Ecology, Bos- en Landschapsecologie, Biodiversity, Plants, Soil, Wildlife Ecology and Conservation, Taverne, Animals, Life Science, Forest and Landscape Ecology, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, Herbivory, Ecology, Evolution, Behavior and Systematics, Vegetatie
Abstract

Ecological models predict that the effects of mammalian herbivore exclusion on plant diversity depend on resource availability and plant exposure to ungulate grazing over evolutionary time. Using an experiment replicated in 57 grasslands on six continents, with contrasting evolutionary history of grazing, we tested how resources (mean annual precipitation and soil nutrients) determine herbivore exclusion effects on plant diversity, richness and evenness. Here we show that at sites with a long history of ungulate grazing, herbivore exclusion reduced plant diversity by reducing both richness and evenness and the responses of richness and diversity to herbivore exclusion decreased with mean annual precipitation. At sites with a short history of grazing, the effects of herbivore exclusion were not related to precipitation but differed for native and exotic plant richness. Thus, plant species’ evolutionary history of grazing continues to shape the response of the world’s grasslands to changing mammalian herbivory.

Published
2022

14. Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands

Author

Rossi, Christian, Kneubühler, Mathias, Schütz, Martin, Schaepman, Michael E, Haller, Rudolf M, Risch, Anita C, University of Zurich, Disney, Mat, and He, Kate

Subjects
10122 Institute of Geography, Ecology, Behavior and Systematics, UFSP13-8 Global Change and Biodiversity, Evolution, 910 Geography & travel, Computers in Earth Sciences, Nature and Landscape Conservation
Published
2022

15. Author Correction: Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs

Author

Firn, Jennifer, McGree, James M, Harvey, Eric, Flores-Moreno, Habacuc, Schütz, Martin, Buckley, Yvonne M, Borer, Elizabeth T, Seabloom, Eric W, La Pierre, Kimberly J, MacDougall, Andrew M, Prober, Suzanne M, Stevens, Carly J, Sullivan, Lauren L, Porter, Erica, Ladouceur, Emma, Allen, Charlotte, Moromizato, Karine H, Morgan, John W, Harpole, W Stanley, Hautier, Yann, Eisenhauer, Nico, Wright, Justin P, Adler, Peter B, Arnillas, Carlos Alberto, Bakker, Jonathan D, Biederman, Lori, Broadbent, Arthur A D, Brown, Cynthia S, Bugalho, Miguel N, Caldeira, Maria C, Cleland, Elsa E, Ebeling, Anne, Fay, Philip A, Hagenah, Nicole, Kleinhesselink, Andrew R, Mitchell, Rachel, Moore, Joslin L, Nogueira, Carla, Peri, Pablo Luis, Roscher, Christiane, Smith, Melinda D, Wragg, Peter D, Risch, Anita C, Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, and Ecology and Biodiversity

Subjects
Phleum, Horticulture, Nutrient, Ecology, Specific leaf area, biology, Poa secunda, Taverne, biology.organism_classification, Ecology, Evolution, Behavior and Systematics, Mathematics
Abstract

In the version of this Article originally published, there were unit conversion errors in the dataset when calculating specific leaf area (SLA) values at 10 of the 27 sites; errors were made when converting SLA from cm 2 g –1 to mm 2 g –1 and from mm 2 mg –1 to mm 2 g –1. This resulted in two incorrect data points: Phleum pratense in plot 27 at the Frue.ch site (SLA >300,000 mm 2 g –1) and Poa secunda in plot 31 at the shps.us site (SLA >60 mm 2 g –1). These two values were changed to ‘NA’ in the dataset, and therefore some reported estimates were changed, resulting in changes to the data points in Fig. 2a, the top bar of Fig. 3 and several values in the text.

Published
2020

16. Increasing effects of chronic nutrient enrichment on plant diversity loss and ecosystem productivity over time

Author

Seabloom, Eric W, Adler, Peter B, Alberti, Juan, Biederman, Lori, Buckley, Yvonne M, Cadotte, Marc W, Collins, Scott L, Dee, Laura, Fay, Philip A, Firn, Jennifer, Hagenah, Nicole, Harpole, W Stanley, Hautier, Yann, Hector, Andy, Hobbie, Sarah E, Isbell, Forest, Knops, Johannes M H, Komatsu, Kimberly J, Laungani, Ramesh, MacDougall, Andrew, McCulley, Rebecca L, Moore, Joslin L, Morgan, John W, Ohlert, Timothy, Prober, Suzanne M, Risch, Anita C, Schuetz, Martin, Stevens, Carly J, Borer, Elizabeth T, Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, and Ecology and Biodiversity

Subjects
0106 biological sciences, Nitrogen, Evolution, Biodiversity, Biology, complex mixtures, 010603 evolutionary biology, 01 natural sciences, Soil, Nutrient, Behavior and Systematics, Taverne, Ecosystem, Biomass, Ecology, Evolution, Behavior and Systematics, biodiversity, Biomass (ecology), Ecology, ecosystem ecology, grasslands, 010604 marine biology & hydrobiology, Soil organic matter, grasslands, food and beverages, ecosystem ecology, Nutrients, nutrient network, Grassland, NutNet, Productivity (ecology), Soil fertility, Ecosystem ecology, human activities, community ecology
Abstract

Human activities are enriching many of Earth's ecosystems with biologically limiting mineral nutrients such as nitrogen (N) and phosphorus (P). In grasslands, this enrichment generally reduces plant diversity and increases productivity. The widely demonstrated positive effect of diversity on productivity suggests a potential negative feedback, whereby nutrient-induced declines in diversity reduce the initial gains in productivity arising from nutrient enrichment. In addition, plant productivity and diversity can be inhibited by accumulations of dead biomass, which may be altered by nutrient enrichment. Over longer time frames, nutrient addition may increase soil fertility by increasing soil organic matter and nutrient pools. We examined the effects of 5-11 yr of nutrient addition at 47 grasslands in 12 countries. Nutrient enrichment increased aboveground live biomass and reduced plant diversity at nearly all sites, and these effects became stronger over time. We did not find evidence that nutrient-induced losses of diversity reduced the positive effects of nutrients on biomass; however, nutrient effects on live biomass increased more slowly at sites where litter was also increasing, regardless of plant diversity. This work suggests that short-term experiments may underestimate the long-term nutrient enrichment effects on global grassland ecosystems.

Published
2021

17. Belowground Biomass Response to Nutrient Enrichment Depends on Light Limitation Across Globally Distributed Grasslands

Author

Cleland, Elsa E., Lind, Eric M., DeCrappeo, Nicole M., DeLorenze, Elizabeth, Wilkins, Rachel Abbott, Adler, Peter B., Bakker, Jonathan D., Brown, Cynthia S., Davies, Kendi F., Esch, Ellen, Firn, Jennifer, Gressard, Scott, Gruner, Daniel S., Hagenah, Nicole, Harpole, W. Stanley, Hautier, Yann, Hobbie, Sarah E., Hofmockel, Kirsten S., Kirkman, Kevin, Knops, Johannes, Kopp, Christopher W., La Pierre, Kimberly J., MacDougall, Andrew, McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Prober, Suzanne M., Riggs, Charlotte, Risch, Anita C., Schuetz, Martin, Stevens, Carly, Wragg, Peter D., Wright, Justin, Borer, Elizabeth T., Seabloom, Eric W., Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, and Ecology and Biodiversity

Subjects
0106 biological sciences, Canopy, roots, Nutrient cycle, 010504 meteorology & atmospheric sciences, Life on Land, Evolution, optimal allocation, Context (language use), Carbon sequestration, 010603 evolutionary biology, 01 natural sciences, Grassland, nitrogen, Nutrient, Behavior and Systematics, belowground biomass, Taverne, Environmental Chemistry, Ecosystem, phosphorus, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Biomass (ecology), geography, geography.geographical_feature_category, Ecology, food and beverages, Biological Sciences, Nutrient Network, Agronomy, fertilization, Environmental science, Environmental Sciences
Abstract

Anthropogenic activities are increasing nutrient inputs to ecosystems worldwide, with consequences for global carbon and nutrient cycles. Recent meta-analyses show that aboveground primary production is often co-limited by multiple nutrients; however, little is known about how root production responds to changes in nutrient availability. At twenty-nine grassland sites on four continents, we quantified shallow root biomass responses to nitrogen (N), phosphorus (P) and potassium plus micronutrient enrichment and compared below- and aboveground responses. We hypothesized that optimal allocation theory would predict context dependence in root biomass responses to nutrient enrichment, given variation among sites in the resources limiting to plant growth (specifically light versus nutrients). Consistent with the predictions of optimal allocation theory, the proportion of total biomass belowground declined with N or P addition, due to increased biomass aboveground (for N and P) and decreased biomass belowground (N, particularly in sites with low canopy light penetration). Absolute root biomass increased with N addition where light was abundant at the soil surface, but declined in sites where the grassland canopy intercepted a large proportion of incoming light. These results demonstrate that belowground responses to changes in resource supply can differ strongly from aboveground responses, which could significantly modify predictions of future rates of nutrient cycling and carbon sequestration. Our results also highlight how optimal allocation theory developed for individual plants may help predict belowground biomass responses to nutrient enrichment at the ecosystem scale across wide climatic and environmental gradients.

Published
2019

18. Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs

Author

Firn, Jennifer, McGree, James M, Harvey, Eric, Flores-Moreno, Habacuc, Schütz, Martin, Buckley, Yvonne M, Borer, Elizabeth T, Seabloom, Eric W, La Pierre, Kimberly J, MacDougall, Andrew M, Prober, Suzanne M, Stevens, Carly J, Sullivan, Lauren L, Porter, Erica, Ladouceur, Emma, Allen, Charlotte, Moromizato, Karine H, Morgan, John W, Harpole, W Stanley, Hautier, Yann, Eisenhauer, Nico, Wright, Justin P, Adler, Peter B, Arnillas, Carlos Alberto, Bakker, Jonathan D, Biederman, Lori, Broadbent, Arthur A D, Brown, Cynthia S, Bugalho, Miguel N, Caldeira, Maria C, Cleland, Elsa E, Ebeling, Anne, Fay, Philip A, Hagenah, Nicole, Kleinhesselink, Andrew R, Mitchell, Rachel, Moore, Joslin L, Nogueira, Carla, Peri, Pablo Luis, Roscher, Christiane, Smith, Melinda D, Wragg, Peter D, Risch, Anita C, Sub Ecology and Biodiversity, Ecology and Biodiversity, Sub Ecology and Biodiversity, and Ecology and Biodiversity

Subjects
leaf traits, 0106 biological sciences, 010504 meteorology & atmospheric sciences, Specific leaf area, Potassium, chemistry.chemical_element, Biology, 010603 evolutionary biology, 01 natural sciences, Grassland, Ciencias Biológicas, Magnoliopsida, Nutrient, Taverne, Ecosystem, Plant Physiological Phenomena, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, geography, Herbivore, geography.geographical_feature_category, Ecology, Phosphorus, grasslands, fungi, food and beverages, Nutrients, Interspecific competition, Ecología, Plant Leaves, eutrophication, Agronomy, chemistry, CIENCIAS NATURALES Y EXACTAS
Abstract

Leaf traits are frequently measured in ecology to provide a ‘common currency’ for predicting how anthropogenic pressures impact ecosystem function. Here, we test whether leaf traits consistently respond to experimental treatments across 27 globally distributed grassland sites across 4 continents. We find that specific leaf area (leaf area per unit mass)—a commonly measured morphological trait inferring shifts between plant growth strategies—did not respond to up to four years of soil nutrient additions. Leaf nitrogen, phosphorus and potassium concentrations increased in response to the addition of each respective soil nutrient. We found few significant changes in leaf traits when vertebrate herbivores were excluded in the short-term. Leaf nitrogen and potassium concentrations were positively correlated with species turnover, suggesting that interspecific trait variation was a significant predictor of leaf nitrogen and potassium, but not of leaf phosphorus concentration. Climatic conditions and pretreatment soil nutrient levels also accounted for significant amounts of variation in the leaf traits measured. Overall, we find that leaf morphological traits, such as specific leaf area, are not appropriate indicators of plant response to anthropogenic perturbations in grasslands. Fil: Firn, Jennifer. Queensland University of Technology; Australia Fil: McGree, James M.. Queensland University of Technology; Australia Fil: Harvey, Eric. University of Montreal; Canadá Fil: Flores Moreno, Habacuc. University of Minnesota; Estados Unidos Fil: Schütz, Martin. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza Fil: Buckley, Yvonne M.. Trinity College; Irlanda Fil: Borer, Elizabeth T.. University of Minnesota; Estados Unidos Fil: Seabloom, Eric W.. University of Minnesota; Estados Unidos Fil: La Pierre, Kimberly J.. Smithsonian Environmental Research Center; Estados Unidos Fil: MacDougall, Andrew M.. University of Guelph; Canadá Fil: Prober, Suzanne M.. No especifíca; Fil: Stevens, Carly J.. Universidad de Lancaster; Reino Unido Fil: Sullivan, Lauren L.. University of Minnesota; Estados Unidos Fil: Porter, Erica. Queensland University of Technology; Australia Fil: Ladouceur, Emma. Helmholtz Center for Environmental Research; Alemania Fil: Allen, Charlotte. Queensland University of Technology; Australia Fil: Moromizato, Karine H.. Queensland University of Technology; Australia Fil: Morgan, John W.. La Trobe University; Australia Fil: Harpole, W. Stanley. Helmholtz Center for Environmental Research; Alemania. Universidad de Halle-Wittenberg ; Alemania Fil: Hautier, Yann. University of Utrecht; Países Bajos Fil: Eisenhauer, Nico. Universitat Leipzig; Alemania Fil: Wright, Justin P.. University of Duke; Estados Unidos Fil: Adler, Peter B.. State University of Utah; Estados Unidos Fil: Arnillas, Carlos Alberto. University of Toronto; Canadá Fil: Bakker, Jonathan D.. University of Washington; Estados Unidos Fil: Biederman, Lori. University of Iowa; Estados Unidos Fil: Broadbent, Arthur A. D.. University of Manchester; Reino Unido Fil: Brown, Cynthia S.. State University of Colorado at Boulder; Estados Unidos Fil: Bugalho, Miguel N.. Universidade Nova de Lisboa; Portugal Fil: Caldeira, Maria C.. Universidade Nova de Lisboa; Portugal Fil: Cleland, Elsa E.. University of California; Estados Unidos Fil: Ebeling, Anne. Universitat Jena; Alemania Fil: Fay, Philip A.. No especifíca; Fil: Hagenah, Nicole. Universidad de Pretoria; Sudáfrica Fil: Kleinhesselink, Andrew R.. University of California at Los Angeles; Estados Unidos Fil: Mitchell, Rachel. Arizona State University; Estados Unidos Fil: Moore, Joslin L.. Monash University; Australia Fil: Nogueira, Carla. Universidade Nova de Lisboa; Portugal Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina Fil: Roscher, Christiane. Helmholtz Center for Environmental Research; Alemania Fil: Smith, Melinda D.. State University of Colorado at Boulder; Estados Unidos Fil: Wragg, Peter D.. University of Minnesota; Estados Unidos Fil: Risch, Anita C.. No especifíca

Published
2019

19. Herbivory and eutrophication mediate grassland plant nutrient responses across a global climatic gradient.

Author

Anderson, T. Michael, Hagenah, Nicole, Harpole, W. Stanley, MacDougall, Andrew S., McCulley, Rebecca L., Prober, Suzanne M., Risch, Anita C., Schütz, Martin, Sankaran, Mahesh, Griffith, Daniel M., Stevens, Carly J., Grace, James B., Lind, Eric M., Seabloom, Eric W., Sullivan, Lauren L., Wragg, Peter D., Borer, Elizabeth T., Adler, Peter B., Biederman, Lori A., and Blumenthal, Dana M.

Subjects
HERBIVORES, EUTROPHICATION, GRASSLANDS, ECOLOGY
Abstract

Abstract: Plant stoichiometry, the relative concentration of elements, is a key regulator of ecosystem functioning and is also being altered by human activities. In this paper we sought to understand the global drivers of plant stoichiometry and compare the relative contribution of climatic vs. anthropogenic effects. We addressed this goal by measuring plant elemental (C, N, P and K) responses to eutrophication and vertebrate herbivore exclusion at eighteen sites on six continents. Across sites, climate and atmospheric N deposition emerged as strong predictors of plot‐level tissue nutrients, mediated by biomass and plant chemistry. Within sites, fertilization increased total plant nutrient pools, but results were contingent on soil fertility and the proportion of grass biomass relative to other functional types. Total plant nutrient pools diverged strongly in response to herbivore exclusion when fertilized; responses were largest in ungrazed plots at low rainfall, whereas herbivore grazing dampened the plant community nutrient responses to fertilization. Our study highlights (1) the importance of climate in determining plant nutrient concentrations mediated through effects on plant biomass, (2) that eutrophication affects grassland nutrient pools via both soil and atmospheric pathways and (3) that interactions among soils, herbivores and eutrophication drive plant nutrient responses at small scales, especially at water‐limited sites. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

20. How to predict plant functional types using imaging spectroscopy: linking vegetation community traits, plant functional types and spectral response.

Author

Schweiger, Anna K., Schütz, Martin, Risch, Anita C., Kneubühler, Mathias, Haller, Rudolf, Schaepman, Michael E., and Chisholm, Ryan

Subjects
PLANTS, SPECTRAL imaging, ECOLOGY, GRASSLANDS, PLANT growth, PLANT life cycles, MOUNTAIN plants
Abstract

The comparable and integrated nature of plant functional types and advances in high-spectral-resolution remote sensing techniques (i.e. imaging spectroscopy) make their combination highly interesting for spatially continuous and repeatable large-scale ecosystem monitoring. Depending on physical environment and stress, plants invest in covarying biochemical and structural traits, influencing spectral characteristics of vegetation. These traits are assumed to bear a more direct causal relationship to plant functional types than to plant life/growth forms. However, the connection between a vegetation community's functional and spectral response remains to be established., We assessed the correlation structure between (i) biochemical and structural vegetation traits (biomass, dry matter content, nitrogen content, neutral detergent fibre content), (ii) plant life/growth forms and (iii) seven plant functional types of two categories (strategy types, indicator values) collected in heterogeneous alpine grassland. We then used airborne imaging spectroscopy data from the same area to model and predict plant life/growth forms and plant functional types at the vegetation community level using partial least squares regression and validated our models based on an independent data set., We found high correlations between many of the biochemical and structural vegetation traits, plant life/growth forms and plant functional types tested. Using airborne imaging spectroscopy data, we successfully modelled and predicted most plant life/growth forms ( R2 max. = 0·56) and all plant functional types ( R2 max. = 0·62). However, model performance for plant life/growth forms decreased substantially during external validation and overall model consistency was low (average change in R2 = 72%), while plant functional type models were much more consistent (average change in R2 = 20%). Based on our findings, we developed a conceptual framework using the theory and methodology of vegetation ecology and imaging spectroscopy to link the vegetation community's functional to its spectral signature., Our results encourage the use of plant functional types in imaging spectroscopy in order to aid the large-scale monitoring of ecosystems, which is particularly important given the increased availability of airborne data and the prospective launches of spaceborne instruments in the near future. [ABSTRACT FROM AUTHOR]

Published
2017
Full Text
View/download PDF

21. Indirect Short- and Long-Term Effects of Aboveground Invertebrate and Vertebrate Herbivores on Soil Microarthropod Communities.

Author

Vandegehuchte, Martijn L., Raschein, Ursina, Schütz, Martin, Gwiazdowicz, Dariusz J., and Risch, Anita C.

Subjects
HERBIVORES, SOIL microbiology, BIOTIC communities, UNGULATES, ECOLOGY, GRASSLANDS
Abstract

Recognition is growing that besides ungulates, small vertebrate and invertebrate herbivores are important drivers of grassland functioning. Even though soil microarthropods play key roles in several soil processes, effects of herbivores—especially those of smaller body size—on their communities are not well understood. Therefore, we progressively excluded large, medium and small vertebrate and invertebrate herbivores for three growing seasons using size-selective fences in two vegetation types in subalpine grasslands; short-grass and tall-grass vegetation generated by high and low historical levels of ungulate grazing. Herbivore exclusions generally had few effects on microarthropod communities, but exclusion of all herbivore groups resulted in decreased total springtail and Poduromorpha richness compared with exclusion of only ungulates and medium-sized mammals, regardless of vegetation type. The tall-grass vegetation had a higher total springtail richness and mesostigmatid mite abundance than the short-grass vegetation and a different oribatid mite community composition. Although several biotic and abiotic variables differed between the exclusion treatments and vegetation types, effects on soil microarthropods were best explained by differences in nutrient and fibre content of the previous year’s vegetation, a proxy for litter quality, and to a lesser extent soil temperature. After three growing seasons, smaller herbivores had a stronger impact on these functionally important soil microarthropod communities than large herbivores. Over longer time-scales, however, large grazers created two different vegetation types and thereby influenced microarthropod communities bottom-up, e.g. by altering resource quality. Hence, both short- and long-term consequences of herbivory affected the structure of the soil microarthropod community. [ABSTRACT FROM AUTHOR]

Published
2015
Full Text
View/download PDF

22. Life-history constraints in grassland plant species: a growth-defence trade-off is the norm.

Author

Lind, Eric M., Borer, Elizabeth, Seabloom, Eric, Adler, Peter, Bakker, Jonathan D., Blumenthal, Dana M., Crawley, Mick, Davies, Kendi, Firn, Jennifer, Gruner, Daniel S., Stanley Harpole, W., Hautier, Yann, Hillebrand, Helmut, Knops, Johannes, Melbourne, Brett, Mortensen, Brent, Risch, Anita C., Schuetz, Martin, Stevens, Carly, and Wragg, Peter D.

Subjects
ECOLOGY, GRASSLANDS, PLANT species, PLANT growth, PLANT defenses, PLANT nutrients, PLANT diversity
Abstract

Plant growth can be limited by resource acquisition and defence against consumers, leading to contrasting trade-off possibilities. The competition-defence hypothesis posits a trade-off between competitive ability and defence against enemies (e.g. herbivores and pathogens). The growth-defence hypothesis suggests that strong competitors for nutrients are also defended against enemies, at a cost to growth rate. We tested these hypotheses using observations of 706 plant populations of over 500 species before and following identical fertilisation and fencing treatments at 39 grassland sites worldwide. Strong positive covariance in species responses to both treatments provided support for a growth-defence trade-off: populations that increased with the removal of nutrient limitation (poor competitors) also increased following removal of consumers. This result held globally across 4 years within plant life-history groups and within the majority of individual sites. Thus, a growth-defence trade-off appears to be the norm, and mechanisms maintaining grassland biodiversity may operate within this constraint. [ABSTRACT FROM AUTHOR]

Published
2013
Full Text
View/download PDF

23. Long-term development of above- and below-ground carbon stocks following land-use change in subalpine ecosystems of the Swiss National Park.

Author

Jurgensen, Martin F., Page-Dumroese, Deborah S., Wildi, Otto, Schütz, Martin, and Risch, Anita C.

Subjects
ECOLOGY, FORESTS & forestry, REVEGETATION, BIOTIC communities, AGRICULTURE, CARBON, SOIL conservation, RANGELAND revegetation, GRASSLAND restoration, REFORESTATION
Abstract

Copyright of Canadian Journal of Forest Research is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2008

24. Phosphorus Translocation by Red Deer on a Subalpine Grassland in the Central European Alps.

Author

Schütz, Martin, Risch, Anita C., Achermann, Gérald, Thiel-Egenter, Conny, Page-Dumroese, Deborah S., Jurgensen, Martin F., and Edwards, Peter J.

Subjects
*ECOLOGICAL succession, *GRAZING, *RED deer, *PHOSPHORUS, *RANGELANDS, *MOUNTAINS, *BIOMASS, *GRASSLANDS, *ECOLOGY
Abstract

We examined the role of red deer ( Cervus elaphus L.) in translocating phosphorus (P) from their preferred grazing sites (short-grass vegetation on subalpine grasslands) to their wider home range in a subalpine grassland ecosystem in the Central European Alps. Phosphorus was used because it is the limiting nutrient in these grasslands. When we compared P removal of aboveground biomass due to grazing with P input due to the deposit of feces on a grid of 268 cells (20 m × 20 m) covering the entire grassland, we detected distinct spatial patterns: the proportion of heavily grazed short-grass vegetation increased with increasing soil-P pool, suggesting that red deer preferably grazed on grid cells with a higher soil-P pool. Biomass consumption related to increased proportion of short-grass vegetation, and therefore P removal, increased with increasing soil-P pool. However, within the two vegetation types (short-grass and tall-grass), consumption was independent from soil-P pool. In addition, P input rates from defecation increased with increasing soil-P pool, resulting in a constant mean net P loss of 0.083 kg ha−1 y−1 (0.03%–0.07% of soil-P pool) independent of both soil-P pool and vegetation type. Thus, there was no P translocation between grid cells with different soil-P pools or between short-grass and tall-grass vegetation. Based on these results, it is likely that the net rate of P loss is too small to explain the observed changes in vegetation composition from tall-herb/meadow communities to short-grass and from tall-grass to short-grass on the grassland since 1917. Instead, we suggest that the grazing patterns of red deer directly induced succession from tall-herb/meadow communities to short-grass vegetation. Yet, it is also possible that long-term net soil-P losses indirectly drive plant succession from short-grass to tall-grass vegetation, because nutrient depletion could reduce grazing pressure in short-grass vegetation and enable the characteristic tall-grass species Carex sempervirens Vill. to establish. [ABSTRACT FROM AUTHOR]

Published
2006
Full Text
View/download PDF

25. THE CONTRIBUTION OF RED WOOD ANTS TO SOIL C AND N POOLS AND CO2 EMISSIONS IN SUBALPINE FORESTS.

Author

Risch, Anita C., Jurgensen, Martin F., Schütz, Martin, and Page-Dumroese, Deborah S.

Subjects
*AIR pollution, *WILDLIFE conservation, *BIOTIC communities, *RADIO sources (Astronomy), *HABITATS, *ECOLOGY
Abstract

Little information is available regarding red wood ant (RWA; Formica rufa group) impacts on soil carbon (C) and nitrogen (N) cycling in forest ecosystems. We found that RWA mound density (number per ha) was linked to forest tree species composition, slope aspect, and canopy closure. The size of RWA mounds was positively correlated with successional age of the stands. C and N concentrations of mound material were significantly higher than in the forest floor, while C:N ratios were not. RWA mound C and N pools were found to be significantly lower (≤990 kg C/ha and ≤21 kg N/ha) than in the forest floor. RWA mounds were "hot spots" for CO, emissions ranging from 12.4 (mid July) to 3.5 (early September) times higher than the adjacent forest floor. Overall, they contributed 0.7- 2.5% to total forest soil CO, emissions. Consequently, the contribution of RWA to total forest soil C and N pools and forest CO, emission is minor and likely not important when calculating or modeling C and N pools or C fluxes. Yet, RWAs increase the spatial heterogeneity of soil C and nutrients and alter the flow of energy within their habitat. [ABSTRACT FROM AUTHOR]

Published
2005
Full Text
View/download PDF

26. Simulating structural forest patterns with a forest gap model: a model evaluation

Author

Risch, Anita C., Heiri, Caroline, and Bugmann, Harald

Subjects
*ECOLOGY, *MATHEMATICAL models, *ESTIMATION theory, *FORESTS & forestry
Abstract

Ecological models can be characterized by their degree of generality, reality and precision. Any model, being a deliberate simplification of reality, cannot excel in all three aspects. Forest gap models have been widely used for studying tree population dynamics, but their predictions have not often been tested for their local precision, but rather for their broad agreement with descriptions of near-natural vegetation. The objectives of our study were (1) to evaluate the performance of the forest gap model ForClim, which had been developed striving for generality and realism, in simulating the long-term development of structural features in Swiss mountain forests; and (2) to examine whether and how the model needs to be changed to improve its precision for a specific site. We used long-term forest data (45 years) from three different forest types in the Swiss National Park.Initial simulation runs for the most dominant forest type in the study area failed to reproduce the observed structural patterns. A detailed analysis of the growth performance of individual trees led to the conclusion that a modified height–diameter function was required, which presumably increases the generality of the model. The new model structure led to simulated stand features that were broadly consistent with observations. After, in addition, taking local variations of model parameters (on mortality, browsing, and seedling establishment rates) into account, we were able to considerably improve the performance of ForClim in simulating the structural features of the different mountain forest stands. We suggest that from the point of view of its revised structure, the ForClim model is principally suitable for site-specific applications, but local precision can only be achieved by site-specific parameter estimation procedures. We conclude that model evaluation and validation as conducted in this study could be quite useful for increasing the reliability of simulations performed with this class of models. [Copyright &y& Elsevier]

Published
2005
Full Text
View/download PDF

27. HUFTIERE UND WIRBELLOSE SPIELEN VERSCHIEDENE ROLLEN.

Author

Schütz, Martin and Risch, Anita C.

Subjects
*INVERTEBRATES, *ANIMALS, *ECOSYSTEMS, *ECOLOGY, *BIOTIC communities
Abstract

In naturnahen Ökosystemen bestehen gegenseitige Beziehungen (Interaktionen) zwischen allen Lebewesen und der unbelebten Umwelt. Huftiere sorgen im SNP für starke Interaktionen zwischen den verschiedenen Lebensgemeinschaften. Gleichzeitig sorgen sie auch für eine grössere Vielfalt innerhalb dieser Gemeinschaften. Wirbellose Tiere hingegen beeinflussen die Beziehungen zwischen den Lebensgemeinschaften und der unbelebten Umwelt besonders stark und halten damit die Ökosysteme am Laufen. Diese funktionieren nicht mehr, wenn die wirbel losen Tiere fehlen. [ABSTRACT FROM AUTHOR]

Published
2020

28. WARUM ZIKADEN UND SPINNEN AUF HIRSCHE REAGIEREN ….

Author

Schütz, Martin and Risch, Anita C.

Subjects
*DEER, *FOOD chains, *ECOLOGY, *ANIMALS
Abstract

The article presents a report on the important role of deer in the pasture ecosystems of the Swiss National Park (SNP) in Switzerland. It states that deer is the largest herbivores in the SNP and so they are the biggest source of food for other animals. It mentions that deer influences the size and composition of the invertebrate communities. It also mentions that the food web of SNP depends on deer to an extent.

Published
2020

29. Global maps of soil temperature

Author

Winkler, Manuela, Plichta, Roman, Buysse, Pauline, Lohila, Annalea, Spicher, Fabien, Boeckx, Pascal, Wild, Jan, Feigenwinter, Iris, Olejnik, Janusz, Risch, Anita, Khuroo, Anzar, Lynn, Joshua, di Cella, Umberto, Schmidt, Marius, Urbaniak, Marek, Marchesini, Luca, Govaert, Sanne, Uogintas, Domas, Assis, Rafael, Medinets, Volodymyr, Abdalaze, Otar, Varlagin, Andrej, Dolezal, Jiri, Myers, Jonathan, Randall, Krystal, Bauters, Marijn, Jimenez, Juan, Stoll, Stefan, Petraglia, Alessandro, Mazzolari, Ana, Ogaya, Romà, Tyystjärvi, Vilna, Hammerle, Albin, Wipf, Sonja, Lorite, Juan, Fanin, Nicolas, Benavides, Juan, Scholten, Thomas, Yu, Zicheng, Veen, G., Treier, Urs, Candan, Onur, Bell, Michael, Hörtnagl, Lukas, Siebicke, Lukas, Vives-Ingla, Maria, Eugster, Werner, Grelle, Achim, Stemkovski, Michael, Theurillat, Jean-Paul, Matula, Radim, Dorrepaal, Ellen, Steinbrecher, Rainer, Alatalo, Juha, Fenu, Giuseppe, Arzac, Alberto, Homeier, Jürgen, Porro, Francesco, Robinson, Sharon, Ghosn, Dany, Haugum, Siri, Ziemblińska, Klaudia, Camargo, José, Zhao, Peng, Niittynen, Pekka, Liljebladh, Bengt, Normand, Signe, Dias, Arildo, Larson, Christian, Peichl, Matthias, Collier, Laura, Myers-Smith, Isla, Zong, Shengwei, Kašpar, Vít, Cooper, Elisabeth, Haider, Sylvia, von Oppen, Jonathan, Cutini, Maurizio, Benito-Alonso, José-Luis, Luoto, Miska, Klemedtsson, Leif, Higgens, Rebecca, Zhang, Jian, Speed, James, Nijs, Ivan, Macek, Martin, Steinwandter, Michael, Poyatos, Rafael, Niedrist, Georg, Curasi, Salvatore, Yang, Yan, Dengler, Jürgen, Géron, Charly, de Pablo, Miguel, Xenakis, Georgios, Kreyling, Juergen, Forte, Tai, Bailey, Joseph, Knohl, Alexander, Goulding, Keith, Wilkinson, Matthew, Kljun, Natascha, Roupsard, Olivier, Stiegler, Christian, Verbruggen, Erik, Wingate, Lisa, Lamprecht, Andrea, Hamid, Maroof, Rossi, Graziano, Descombes, Patrice, Hrbacek, Filip, Bjornsdottir, Katrin, Poulenard, Jérôme, Meeussen, Camille, Guénard, Benoit, Venn, Susanna, Dimarco, Romina, Man, Matěj, Scharnweber, Tobias, Chown, Steven, Pio, Casimiro, Way, Robert, Erickson, Todd, Fernández-Pascual, Eduardo, Pușcaș, Mihai, Orsenigo, Simone, Di Musciano, Michele, Enquist, Brian, Newling, Emily, Tagesson, Torbern, Kemppinen, Julia, Serra-Diaz, Josep, Gottschall, Felix, Schuchardt, Max, Pitacco, Andrea, Jump, Alistair, Exton, Dan, Carnicer, Jofre, Aschero, Valeria, Urban, Anastasiya, Daskalova, Gergana, Santos, Cinthya, Goeckede, Mathias, Bruna, Josef, Andrews, Christopher, Jónsdóttir, Ingibjörg, Casanova-Katny, Angélica, Moriana-Armendariz, Mikel, Ewers, Robert, Pärtel, Meelis, Sagot, Clotilde, Herbst, Mathias, De Frenne, Pieter, Milbau, Ann, Gobin, Anne, Alexander, Jake, Kopecký, Martin, Buchmann, Nina, Kotowska, Martyna, Puchalka, Radoslaw, Penuelas, Josep, Gigauri, Khatuna, Prokushkin, Anatoly, Moiseev, Pavel, Jentsch, Anke, Klisz, Marcin, Barrio, Isabel, Ammann, Christof, Panov, Alexey, Van Geel, Maarten, Finckh, Manfred, Vaccari, Francesco, Erschbamer, Brigitta, Backes, Amanda, Robroek, Bjorn, Campoe, Otávio, Ahmadian, Negar, Boike, Julia, Thomas, Haydn, Pastor, Ada, Smith, Stuart, Pauli, Harald, Kollár, Jozef, de Cássia Guimarães Mesquita, Rita, Michaletz, Sean, Fuentes-Lillo, Eduardo, Urban, Josef, Greenwood, Sarah, Lens, Luc, Van de Vondel, Stijn, Vitale, Luca, Remmele, Sabine, Naujokaitis-Lewis, Ilona, Meusburger, Katrin, Cremonese, Edoardo, Barros, Agustina, Bokhorst, Stef, Svátek, Martin, Allonsius, Camille, Høye, Toke, Smiljanic, Marko, Hik, David, Canessa, Rafaella, van den Hoogen, Johan, Altman, Jan, Björkman, Mats, Cesarz, Simone, Blonder, Benjamin, Kazakis, George, Opedal, Øystein, Assmann, Jakob, Tanentzap, Andrew, Sidenko, Nikita, le Maire, Guerric, Ursu, Tudor-Mihai, Montagnani, Leonardo, Muffler, Lena, Hederová, Lucia, Rubtsov, Alexey, Pauchard, Aníbal, Tielbörger, Katja, Sørensen, Mia, Crowther, Thomas, Remmers, Wolfram, Pitteloud, Camille, Zyryanov, Viacheslav, Nilsson, Matts, Bazzichetto, Manuele, Sallo-Bravo, Jhonatan, Moiseev, Dmitry, Spasojevic, Marko, Haase, Peter, Pearse, William, Tutton, Rosamond, Fazlioglu, Fatih, Siqueira, David, Ardö, Jonas, Nardino, Marianna, Tomaselli, Marcello, Pavelka, Marian, García, Rafael, Nosetto, Marcelo, Bon, Matteo, Semenchuk, Philipp, Choler, Philippe, Scott, Tony, Halbritter, Aud, Dušek, Jiří, Mackenzie, Roy, Stanisci, Angela, Nouvellon, Yann, Kovács, Bence, Haesen, Stef, Veenendaal, Elmar, Juszczak, Radoslaw, Verheijen, Frank, de Andrade, Ana, Verbeeck, Hans, Bader, Maaike, RENAULT, David, Zimmermann, Reiner, Ferlian, Olga, Medinets, Sergiy, Walz, Josefine, Rossi, Christian, Rocha, Adrian, Lembrechts, Jonas, Jactel, Hervé, Brum, Barbara, Aartsma, Peter, Kobler, Johannes, Eisenhauer, Nico, Bjerke, Jarle, Pellissier, Loïc, Ueyama, Masahito, Manca, Giovanni, Bahalkeh, Khadijeh, Meysman, Filip, Niessner, Armin, Curtis, Robin, Six, Johan, Saccone, Patrick, Wang, Runxi, Ahrends, Antje, Okello, Joseph, Kolle, Olaf, Portillo-Estrada, Miguel, Laska, Kamil, Freeman, Erika, Di Cecco, Valter, Ashcroft, Michael, Steinbauer, Klaus, Della Chiesa, Stefano, van den Brink, Liesbeth, Herberich, Maximiliane, Loubet, Benjamin, Barančok, Peter, Hermanutz, Luise, Souza, Bartolomeu, Contador, Tamara, Zhang, Zhaochen, Aerts, Rien, Stephan, Jörg, Chojnicki, Bogdan, Manco, Antonio, Larson, Keith, Mondoni, Andrea, Palaj, Andrej, Schmeddes, Jonas, Hepenstrick, Daniel, Järveoja, Järvi, Manise, Tanguy, Barthel, Matti, Marciniak, Felipe, Weigel, Robert, Rixen, Christian, Turtureanu, Pavel, Hoffrén, Raúl, Iwata, Hiroki, Vittoz, Pascal, Wedegärtner, Ronja, Penczykowski, Rachel, Phartyal, Shyam, Sitková, Zuzana, Nagy, Laszlo, Ujházy, Karol, Heinesch, Bernard, Berauer, Bernd, Ogée, Jérôme, Malfasi, Francesco, Greise, Caroline, Helfter, Carole, Mosedale, Jonathan, Senior, Rebecca, Magliulo, Enzo, Nuñez, Martin, García, María, Wohlfahrt, Georg, Carbognani, Michele, Thomas, Andrew, Eklundh, Lars, Erfanian, Mohammad, Villar, Luis, Maier, Regine, Dahlberg, C., Guglielmin, Mauro, Jucker, Tommaso, Kelly, Julia, Olesen, Jørgen, Lang, Simone, Tanneberger, Franziska, Gharun, Mana, Jackowicz-Korczynski, Marcin, Convey, Peter, Aalto, Juha, Scheffers, Brett, Ujházyová, Mariana, Andres, Christian, Arriga, Nicola, Smith-Tripp, Sarah, Kanka, Róbert, Dick, Jan, Leihy, Rachel, Van Meerbeek, Koenraad, Maclean, Ilya, Vangansbeke, Pieter, Pampuch, Timo, Čiliak, Marek, Guillemot, Joannès, Sarneel, Judith, Souza, José, Svoboda, Miroslav, Björk, Robert, Merinero, Sonia, Zellweger, Florian, Simpson, Elizabeth, Cannone, Nicoletta, Abedi, Mehdi, Seipel, Tim, Klinges, David, Máliš, František, Basham, Edmund, Sewerniak, Piotr, Schwartz, Naomi, Trouillier, Mario, Vandvik, Vigdis, Shekhar, Ankit, Munoz-Rojas, Miriam, Nicklas, Lena, Goded, Ignacio, Manolaki, Paraskevi, Radujković, Dajana, Yu, Kailiang, Phoenix, Gareth, Cifuentes, Edgar, Seeber, Julia, Deronde, Bart, Lenoir, Jonathan, Frei, Esther, Wilmking, Martin, Hylander, Kristoffer, Graae, Bente, Calzado, M., Wang, Yifeng, Hampe, Arndt, Somers, Ben, Mörsdorf, Martin, Jastrzebowski, Szymon, Ejtehadi, Hamid, Terrestrial Ecology (TE), Universidad de Alcalá. Departamento de Geología, Geografía y Medio Ambiente, BioGeoClimate Modelling Lab, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), Institute for Atmospheric and Earth System Research (INAR), Universiteit Antwerpen = University of Antwerpen [Antwerpen], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), LTSER Zone Atelier Alpes, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Senckenberg Research Institute and Natural History Museum [Frankfurt], Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), 12P1819N, Fonds Wetenschappelijk Onderzoek, ANR-10-LABX-0045,COTE,COntinental To coastal Ecosystems: evolution, adaptability and governance(2010), ANR-13-ISV7-0004,ODYSSEE,De nouvelles voies pour la modélisation des dynamiques d'assemblages d'espèces intégrant l'écologie et l'évolution: le cas des écosystèmes de montagne des Alpes et des Carpates(2013), ANR-20-EBI5-0004,ASICS,ASsessing and mitigating the effects of climate change and biological Invasions on the spatial redistribution of biodiversity in Cold environmentS(2020), ANR-19-CE32-0005,IMPRINT,IMpacts des PRocessus mIcroclimatiques sur la redistributioN de la biodiversiTé forestière en contexte de réchauffement du macroclimat(2019), European Project: 774124 , H2020,H2020-SFS-2017-2,SUPER-G (2018), European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), European Project: 641918,H2020,H2020-SC5-2014-two-stage,AfricanBioServices(2015), European Project: 678841,H2020,ERC-2015-STG,NICH(2016), European Project: 871128,eLTER PLUS (2020), European Project: 861974, H2020,SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy,SustainSahel(2020), Lembrechts, Jonas J [0000-0002-1933-0750], van den Hoogen, Johan [0000-0001-6624-8461], Aalto, Juha [0000-0001-6819-4911], De Frenne, Pieter [0000-0002-8613-0943], Kemppinen, Julia [0000-0001-7521-7229], Kopecký, Martin [0000-0002-1018-9316], Luoto, Miska [0000-0001-6203-5143], Maclean, Ilya MD [0000-0001-8030-9136], Crowther, Thomas W [0000-0001-5674-8913], Bailey, Joseph J [0000-0002-9526-7095], Haesen, Stef [0000-0002-4491-4213], Klinges, David H [0000-0002-7900-9379], Niittynen, Pekka [0000-0002-7290-029X], Scheffers, Brett R [0000-0003-2423-3821], Van Meerbeek, Koenraad [0000-0002-9260-3815], Aartsma, Peter [0000-0001-5086-856X], Abdalaze, Otar [0000-0001-8140-0900], Abedi, Mehdi [0000-0002-1499-0119], Aerts, Rien [0000-0001-6694-0669], Ahmadian, Negar [0000-0002-7427-7198], Ahrends, Antje [0000-0002-5083-7760], Alatalo, Juha M [0000-0001-5084-850X], Alexander, Jake M [0000-0003-2226-7913], Allonsius, Camille Nina [0000-0003-2599-9941], Altman, Jan [0000-0003-4879-5773], Ammann, Christof [0000-0002-0783-5444], Andres, Christian [0000-0003-0576-6446], Andrews, Christopher [0000-0003-2428-272X], Ardö, Jonas [0000-0002-9318-0973], Arriga, Nicola [0000-0001-5321-3497], Arzac, Alberto [0000-0002-3361-5349], Aschero, Valeria [0000-0003-3865-4133], Assis, Rafael L [0000-0001-8468-6414], Assmann, Jakob Johann [0000-0002-3492-8419], Bader, Maaike Y [0000-0003-4300-7598], Bahalkeh, Khadijeh [0000-0003-1485-0316], Barančok, Peter [0000-0003-1171-2524], Barrio, Isabel C [0000-0002-8120-5248], Barros, Agustina [0000-0002-6810-2391], Basham, Edmund W [0000-0002-0167-7908], Bauters, Marijn [0000-0003-0978-6639], Bazzichetto, Manuele [0000-0002-9874-5064], Marchesini, Luca Belelli [0000-0001-8408-4675], Bell, Michael C [0000-0002-3401-7746], Benavides, Juan C [0000-0002-9694-2195], Benito Alonso, José Luis [0000-0003-1086-8834], Berauer, Bernd J [0000-0002-9472-1532], Bjerke, Jarle W [0000-0003-2721-1492], Björk, Robert G [0000-0001-7346-666X], Björkman, Mats P [0000-0001-5768-1976], Björnsdóttir, Katrin [0000-0001-7421-9441], Blonder, Benjamin [0000-0002-5061-2385], Boeckx, Pascal [0000-0003-3998-0010], Boike, Julia [0000-0002-5875-2112], Bokhorst, Stef [0000-0003-0184-1162], Brum, Bárbara NS [0000-0002-8421-3200], Brůna, Josef [0000-0002-4839-4593], Buchmann, Nina [0000-0003-0826-2980], Camargo, José Luís [0000-0003-0370-9878], Campoe, Otávio C [0000-0001-9810-8834], Candan, Onur [0000-0002-9254-4122], Canessa, Rafaella [0000-0002-6979-9880], Cannone, Nicoletta [0000-0002-3390-3965], Carbognani, Michele [0000-0001-7701-9859], Carnicer, Jofre [0000-0001-7454-8296], Casanova-Katny, Angélica [0000-0003-3860-1445], Cesarz, Simone [0000-0003-2334-5119], Chojnicki, Bogdan [0000-0002-9012-4060], Choler, Philippe [0000-0002-9062-2721], Chown, Steven L [0000-0001-6069-5105], Cifuentes, Edgar F [0000-0001-5918-5861], Čiliak, Marek [0000-0002-6720-9365], Contador, Tamara [0000-0002-0250-9877], Convey, Peter [0000-0001-8497-9903], Cooper, Elisabeth J [0000-0002-0634-1282], Cremonese, Edoardo [0000-0002-6708-8532], Curasi, Salvatore R [0000-0002-4534-3344], Cutini, Maurizio [0000-0002-8597-8221], Dahlberg, C Johan [0000-0003-0271-3306], Daskalova, Gergana N [0000-0002-5674-5322], de Pablo, Miguel Angel [0000-0002-4496-2741], Della Chiesa, Stefano [0000-0002-6693-2199], Dengler, Jürgen [0000-0003-3221-660X], Descombes, Patrice [0000-0002-3760-9907], Di Cecco, Valter [0000-0001-9862-1267], Di Musciano, Michele [0000-0002-3130-7270], Dick, Jan [0000-0002-4180-9338], Dolezal, Jiri [0000-0002-5829-4051], Dorrepaal, Ellen [0000-0002-0523-2471], Dušek, Jiří [0000-0001-6119-0838], Eisenhauer, Nico [0000-0002-0371-6720], Eklundh, Lars [0000-0001-7644-6517], Erickson, Todd E [0000-0003-4537-0251], Erschbamer, Brigitta [0000-0002-6792-1395], Eugster, Werner [0000-0001-6067-0741], Exton, Dan A [0000-0001-8885-5828], Fanin, Nicolas [0000-0003-4195-855X], Fazlioglu, Fatih [0000-0002-4723-3640], Feigenwinter, Iris [0000-0001-7493-6790], Fenu, Giuseppe [0000-0003-4762-5043], Ferlian, Olga [0000-0002-2536-7592], Fernández-Pascual, Eduardo [0000-0002-4743-9577], Finckh, Manfred [0000-0003-2186-0854], Higgens, Rebecca Finger [0000-0002-7645-504X], Forte, T'ai GW [0000-0002-8685-5872], Freeman, Erika C [0000-0001-7161-6038], Frei, Esther R [0000-0003-1910-7900], Fuentes-Lillo, Eduardo [0000-0001-5657-954X], García, Rafael A [0000-0002-0591-0391], García, María B [0000-0003-4231-6006], Géron, Charly [0000-0001-7912-4708], Gharun, Mana [0000-0003-0337-7367], Ghosn, Dany [0000-0003-1898-9681], Gigauri, Khatuna [0000-0002-6707-0818], Gobin, Anne [0000-0002-3742-7062], Goded, Ignacio [0000-0002-1912-325X], Goeckede, Mathias [0000-0003-2833-8401], Gottschall, Felix [0000-0002-1247-8728], Goulding, Keith [0000-0002-6465-1465], Govaert, Sanne [0000-0002-8939-1305], Graae, Bente Jessen [0000-0002-5568-4759], Greenwood, Sarah [0000-0001-9104-7936], Greiser, Caroline [0000-0003-4023-4402], Grelle, Achim [0000-0003-3468-9419], Guénard, Benoit [0000-0002-7144-1175], Guillemot, Joannès [0000-0003-4385-7656], Haase, Peter [0000-0002-9340-0438], Haider, Sylvia [0000-0002-2966-0534], Halbritter, Aud H [0000-0003-2597-6328], Hamid, Maroof [0000-0003-3406-5008], Hammerle, Albin [0000-0003-1963-5906], Hampe, Arndt [0000-0003-2551-9784], Haugum, Siri V [0000-0003-4958-7132], Hederová, Lucia [0000-0003-1283-0952], Heinesch, Bernard [0000-0001-7594-6341], Helfter, Carole [0000-0001-5773-4652], Hepenstrick, Daniel [0000-0003-1090-6888], Herberich, Maximiliane [0000-0003-0716-1520], Hermanutz, Luise [0000-0003-0706-7067], Hik, David S [0000-0002-8994-9305], Hoffrén, Raúl [0000-0002-9123-304X], Homeier, Jürgen [0000-0001-5676-3267], Hörtnagl, Lukas [0000-0002-5569-0761], Høye, Toke T [0000-0001-5387-3284], Hrbacek, Filip [0000-0001-5032-9216], Hylander, Kristoffer [0000-0002-1215-2648], Iwata, Hiroki [0000-0002-8962-8982], Jackowicz-Korczynski, Marcin Antoni [0000-0002-6574-5703], Jactel, Hervé [0000-0002-8106-5310], Järveoja, Järvi [0000-0001-6317-660X], Jastrzębowski, Szymon [0000-0003-1239-4847], Jentsch, Anke [0000-0002-2345-8300], Jiménez, Juan J [0000-0003-2398-0796], Jónsdóttir, Ingibjörg S [0000-0003-3804-7077], Jucker, Tommaso [0000-0002-0751-6312], Jump, Alistair S [0000-0002-2167-6451], Juszczak, Radoslaw [0000-0002-5212-7383], Kanka, Róbert [0000-0002-7071-7280], Kašpar, Vít [0000-0002-0879-0137], Kelly, Julia [0000-0002-7370-1401], Khuroo, Anzar A [0000-0002-0251-2793], Klemedtsson, Leif [0000-0002-1122-0717], Klisz, Marcin [0000-0001-9486-6988], Kljun, Natascha [0000-0001-9650-2184], Knohl, Alexander [0000-0002-7615-8870], Kobler, Johannes [0000-0003-0052-4245], Kollár, Jozef [0000-0002-0069-4220], Kotowska, Martyna M [0000-0002-2283-5979], Kovács, Bence [0000-0002-8045-8489], Kreyling, Juergen [0000-0001-8489-7289], Lamprecht, Andrea [0000-0002-8719-026X], Lang, Simone I [0000-0002-6812-2528], Larson, Christian [0000-0002-7567-4953], Larson, Keith [0000-0001-7089-524X], Laska, Kamil [0000-0002-5199-9737], le Maire, Guerric [0000-0002-5227-958X], Leihy, Rachel I [0000-0001-9672-625X], Lens, Luc [0000-0002-0241-2215], Liljebladh, Bengt [0000-0002-2998-5865], Lohila, Annalea [0000-0003-3541-672X], Lorite, Juan [0000-0003-4617-8069], Loubet, Benjamin [0000-0001-8825-8775], Lynn, Joshua [0000-0002-7190-7991], Macek, Martin [0000-0002-5609-5921], Mackenzie, Roy [0000-0001-6620-1532], Magliulo, Enzo [0000-0001-5505-6552], Maier, Regine [0000-0003-3158-4136], Malfasi, Francesco [0000-0002-2660-8327], Máliš, František [0000-0003-2760-6988], Man, Matěj [0000-0002-4557-8768], Manca, Giovanni [0000-0002-9376-0310], Manco, Antonio [0000-0002-3677-4134], Manolaki, Paraskevi [0000-0003-3958-0199], Matula, Radim [0000-0002-7460-0100], Medinets, Sergiy [0000-0001-5980-1054], Medinets, Volodymyr [0000-0001-7543-7504], Meeussen, Camille [0000-0002-5869-4936], Merinero, Sonia [0000-0002-1405-6254], Mesquita, Rita de Cássia Guimarães [0000-0003-1746-3215], Meusburger, Katrin [0000-0003-4623-6249], Meysman, Filip JR [0000-0001-5334-7655], Michaletz, Sean T [0000-0003-2158-6525], Milbau, Ann [0000-0003-3555-8883], Moiseev, Pavel [0000-0003-4808-295X], Mondoni, Andrea [0000-0002-4605-6304], Montagnani, Leonardo [0000-0003-2957-9071], Moriana-Armendariz, Mikel [0000-0001-8251-1338], Morra di Cella, Umberto [0000-0003-4250-9705], Mörsdorf, Martin [0000-0002-3903-2021], Mosedale, Jonathan R [0000-0001-9008-5439], Muffler, Lena [0000-0001-8227-7297], Muñoz-Rojas, Miriam [0000-0002-9746-5191], Myers, Jonathan A [0000-0002-2058-8468], Myers-Smith, Isla H [0000-0002-8417-6112], Nardino, Marianna [0000-0001-9466-8340], Naujokaitis-Lewis, Ilona [0000-0001-9504-4484], Nicklas, Lena [0000-0002-9337-4153], Niedrist, Georg [0000-0002-7511-6273], Nilsson, Mats B [0000-0003-3765-6399], Normand, Signe [0000-0002-8782-4154], Nosetto, Marcelo D [0000-0002-9428-490X], Nouvellon, Yann [0000-0003-1920-3847], Nuñez, Martin A [0000-0003-0324-5479], Ogaya, Romà [0000-0003-4927-8479], Ogée, Jérôme [0000-0002-3365-8584], Okello, Joseph [0000-0003-4462-3923], Olejnik, Janusz [0000-0001-5305-1045], Olesen, Jørgen Eivind [0000-0002-6639-1273], Opedal, Øystein H [0000-0002-7841-6933], Orsenigo, Simone [0000-0003-0348-9115], Palaj, Andrej [0000-0001-7054-4183], Pampuch, Timo [0000-0002-6290-9661], Pärtel, Meelis [0000-0002-5874-0138], Pastor, Ada [0000-0002-7114-770X], Pauchard, Aníbal [0000-0003-1284-3163], Pauli, Harald [0000-0002-9842-9934], Pavelka, Marian [0000-0002-7339-3410], Pearse, William D [0000-0002-6241-3164], Peichl, Matthias [0000-0002-9940-5846], Penczykowski, Rachel M [0000-0003-4559-0609], Penuelas, Josep [0000-0002-7215-0150], Petit Bon, Matteo [0000-0001-9829-8324], Petraglia, Alessandro [0000-0003-4632-2251], Phartyal, Shyam S [0000-0003-3266-6619], Phoenix, Gareth K [0000-0002-0911-8107], Pio, Casimiro [0000-0002-3531-8620], Pitacco, Andrea [0000-0002-7260-6242], Pitteloud, Camille [0000-0002-4731-0079], Plichta, Roman [0000-0003-2442-8522], Porro, Francesco [0000-0001-9855-2468], Portillo-Estrada, Miguel [0000-0002-0348-7446], Poulenard, Jérôme [0000-0003-0810-0308], Poyatos, Rafael [0000-0003-0521-2523], Prokushkin, Anatoly S [0000-0001-8721-2142], Puchalka, Radoslaw [0000-0002-4764-0705], Pușcaș, Mihai [0000-0002-2632-640X], Radujković, Dajana [0000-0003-4981-5879], Randall, Krystal [0000-0003-2507-1000], Ratier Backes, Amanda [0000-0002-7229-578X], Renault, David [0000-0003-3644-1759], Risch, Anita C [0000-0003-0531-8336], Rixen, Christian [0000-0002-2486-9988], Robinson, Sharon A [0000-0002-7130-9617], Robroek, Bjorn JM [0000-0002-6714-0652], Rocha, Adrian V [0000-0002-4618-2407], Rossi, Graziano [0000-0002-5102-5019], Roupsard, Olivier [0000-0002-1319-142X], Rubtsov, Alexey V [0000-0002-9663-4344], Saccone, Patrick [0000-0001-8820-593X], Sallo Bravo, Jhonatan [0000-0001-9007-4959], Santos, Cinthya C [0000-0001-7042-5993], Sarneel, Judith M [0000-0001-6187-499X], Scharnweber, Tobias [0000-0002-4933-5296], Schmidt, Marius [0000-0001-5292-7092], Scholten, Thomas [0000-0002-4875-2602], Schuchardt, Max [0000-0003-3103-8063], Scott, Tony [0000-0002-6631-0672], Seeber, Julia [0000-0003-0189-7377], Seipel, Tim [0000-0001-6472-2975], Semenchuk, Philipp [0000-0002-1949-6427], Senior, Rebecca A [0000-0002-8208-736X], Serra-Diaz, Josep M [0000-0003-1988-1154], Sewerniak, Piotr [0000-0002-3071-3963], Shekhar, Ankit [0000-0003-0802-2821], Siegwart Collier, Laura [0000-0003-0985-9615], Simpson, Elizabeth [0000-0002-6107-0286], Siqueira, David P [0000-0002-0756-0153], Sitková, Zuzana [0000-0001-6354-6105], Six, Johan [0000-0001-9336-4185], Smiljanic, Marko [0000-0002-2324-0723], Smith, Stuart W [0000-0001-9396-6610], Somers, Ben [0000-0002-7875-107X], Souza, José João LL [0000-0003-4670-6626], Souza, Bartolomeu Israel [0000-0003-2173-8314], Souza Dias, Arildo [0000-0002-5495-3435], Spasojevic, Marko J [0000-0003-1808-0048], Speed, James DM [0000-0002-0633-5595], Spicher, Fabien [0000-0002-9999-955X], Stanisci, Angela [0000-0002-5302-0932], Steinbauer, Klaus [0000-0002-3730-9920], Steinbrecher, Rainer [0000-0002-5931-4210], Steinwandter, Michael [0000-0001-8545-6047], Stemkovski, Michael [0000-0002-9854-887X], Stephan, Jörg G [0000-0001-6195-7867], Stiegler, Christian [0000-0002-0130-2401], Stoll, Stefan [0000-0002-3656-417X], Svátek, Martin [0000-0003-2328-4627], Svoboda, Miroslav [0000-0003-4050-3422], Tagesson, Torbern [0000-0003-3011-1775], Tanentzap, Andrew J [0000-0002-2883-1901], Tanneberger, Franziska [0000-0002-4184-9671], Theurillat, Jean-Paul [0000-0002-1843-5809], Thomas, Haydn JD [0000-0001-9099-6304], Thomas, Andrew D [0000-0002-1360-1687], Tomaselli, Marcello [0000-0003-4208-3433], Treier, Urs Albert [0000-0003-4027-739X], Trouillier, Mario [0000-0001-9151-7686], Turtureanu, Pavel Dan [0000-0002-7422-3106], Tyystjärvi, Vilna A [0000-0002-1175-5463], Ueyama, Masahito [0000-0002-4000-4888], Ujházy, Karol [0000-0002-0228-1737], Ujházyová, Mariana [0000-0002-5546-1547], Uogintas, Domas [0000-0002-3937-1218], Urban, Josef [0000-0003-1730-947X], Urbaniak, Marek [0000-0002-1225-9170], Ursu, Tudor-Mihai [0000-0002-4898-6345], Vaccari, Francesco Primo [0000-0002-5253-2135], Van de Vondel, Stijn [0000-0002-0223-7330], van den Brink, Liesbeth [0000-0003-0313-8147], Van Geel, Maarten [0000-0001-8688-6225], Vandvik, Vigdis [0000-0003-4651-4798], Vangansbeke, Pieter [0000-0002-6356-2858], Varlagin, Andrej [0000-0002-2549-5236], Veen, GF [0000-0001-7736-9998], Veenendaal, Elmar [0000-0001-8230-2501], Venn, Susanna E [0000-0002-7433-0120], Verbeeck, Hans [0000-0003-1490-0168], Verbrugggen, Erik [0000-0001-7015-1515], Verheijen, Frank GA [0000-0001-6741-4249], Vitale, Luca [0000-0002-7637-264X], Vittoz, Pascal [0000-0003-4218-4517], Vives-Ingla, Maria [0000-0003-4887-8392], von Oppen, Jonathan [0000-0001-6346-2964], Walz, Josefine [0000-0002-0715-8738], Wang, Runxi [0000-0003-4902-169X], Wang, Yifeng [0000-0003-2660-7874], Way, Robert G [0000-0003-4763-7685], Wedegärtner, Ronja EM [0000-0003-4633-755X], Weigel, Robert [0000-0001-9685-6783], Wild, Jan [0000-0003-3007-4070], Wilkinson, Matthew [0000-0002-3858-553X], Wilmking, Martin [0000-0003-4964-2402], Wingate, Lisa [0000-0003-1921-1556], Winkler, Manuela [0000-0002-8655-9555], Wipf, Sonja [0000-0002-3492-1399], Wohlfahrt, Georg [0000-0003-3080-6702], Xenakis, Georgios [0000-0002-2950-4101], Yang, Yan [0000-0003-0858-7603], Yu, Zicheng [0000-0003-2358-2712], Yu, Kailiang [0000-0003-4223-5169], Zellweger, Florian [0000-0003-1265-9147], Zhang, Jian [0000-0003-0589-6267], Zhao, Peng [0000-0003-3289-5067], Ziemblińska, Klaudia [0000-0003-4070-6553], Zimmermann, Reiner [0000-0002-8724-941X], Zong, Shengwei [0000-0002-3583-6110], Zyryanov, Viacheslav I [0000-0002-1748-4801], Nijs, Ivan [0000-0003-3111-680X], Lenoir, Jonathan [0000-0003-0638-9582], Apollo - University of Cambridge Repository, Department of Biology (University of Antwerp), and University of Antwerp (UA)

Subjects
0106 biological sciences, Zoology and botany: 480 [VDP], Q1, 01 natural sciences, Global map, SDG 13 - Climate Action, Soil temperature, Zone climatique, bepress|Physical Sciences and Mathematics|Environmental Sciences, bioclimatic variables, global maps, microclimate, near-surface temperatures, soil temperature, soil-dwelling organisms, temperature offset, weather stations, ComputingMilieux_MISCELLANEOUS, General Environmental Science, Global and Planetary Change, GB, Geology, PE&RC, 6. Clean water, Near-surface soil temperature, international, [SDE]Environmental Sciences, 551: Geologie und Hydrologie, Plantenecologie en Natuurbeheer, Température du sol, Near-surface temperature, Near-surface temperatures, Biologie, P40 - Météorologie et climatologie, bepress|Physical Sciences and Mathematics|Earth Sciences, MITIGATION, bepress|Life Sciences|Ecology and Evolutionary Biology, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate, Bioclimatic variables, Settore BIO/07 - ECOLOGIA, 577: Ökologie, Biology, Ecosystem, Ekologi, Changement climatique, Cartographie, Biology and Life Sciences, Microclimate, 15. Life on land, bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring, Agriculture and Soil Science, 0401 agriculture, forestry, and fisheries, Temperature offset, Weather stations, Plan_S-Compliant-OA, Soil, bepress|Life Sciences, ddc:550, Geología, Ecology, Temperature, 04 agricultural and veterinary sciences, Biological Sciences, FOREST, Weather station, Variation saisonnière, Chemistry, Bioclimatologie, bepress|Physical Sciences and Mathematics, 1171 Geosciences, Technology and Engineering, Climate Change, Plant Ecology and Nature Conservation, MOISTURE, LITTER DECOMPOSITION, PERMAFROST, ddc:570, SUITABILITY, G1, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology, Global maps, VDP::Mathematics and natural scienses: 400::Zoology and botany: 480, Environmental Chemistry, Zoologiske og botaniske fag: 480 [VDP], Soil-dwelling organisms, Aquatic Ecology, P30 - Sciences et aménagement du sol, Bioclimatic variable, SNOW-COVER, bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science, Earth sciences, PLANT-RESPONSES, CLIMATIC CONTROLS, Soil-dwelling organism, 13. Climate action, Earth and Environmental Sciences, VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480, 040103 agronomy & agriculture, Réchauffement global, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Sciences, 010606 plant biology & botany
Abstract

JJL received funding from the Research Foundation Flanders (grant nr. 12P1819N). The project received funding from the Research Foundation Flanders (grants nrs, G018919N, W001919N). JVDH and TWC received funding from DOB Ecology. JA received funding from the University of Helsinki, Faculty of Science (MICROCLIM, grant nr. 7510145) and Academy of Finland Flagship (grant no. 337552). PDF, CM and PV received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Starting Grant FORMICA 757833). JK received funding from the Arctic Interactions at the University of Oulu and Academy of Finland (318930, Profi 4), Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet and Societas pro Fauna et Flora Fennica. MK received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). TWC received funding from National Geographic Society grant no. 9480-14 and WW-240R-17. MA received funding from CISSC (program ICRP (grant nr:2397) and INSF (grant nr: 96005914). The Royal Botanic Garden Edinburgh is supported by the Scottish Government's Rural and Environment Science and Analytical Services Division. JMA received funding from the Funding Org. Qatar Petroleum (grant nr. QUEX-CAS-QP-RD-18/19). JMA received funding from the European Union's Horizon 2020 research and innovation program (grant no. 678841) and from the Swiss National Science Foundation (grant no. 31003A_176044). JA was supported by research grants LTAUSA19137 (program INTER-EXCELLENCE, subprogram INTER-ACTION) provided by Czech Ministry of Education, Youth and Sports and 20-05840Y of the Czech Science Foundation. AA was supported by the Ministry of Science and Higher Education of the Russian Federation (grant FSRZ-2020-0014). SN, UAT, JJA, and JvO received funding from the Independent Research Fund Denmark (7027-00133B). LvdB, KT, MYB and RC acknowledge funding from the German Research Foundation within the Priority Program SPP-1803 'EarthShape: Earth Surface Shaping by Biota' (grant TI 338/14-1&2 and BA 3843/6-1). PB was supported by grant project VEGA of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences No. 2/0132/18. Forest Research received funding from the Forestry Commission (climate change research programme). JCB acknowledges the support of Universidad Javeriana. JLBA received funding from the Direccion General de Cambio Climatico del Gobierno de Aragon; JLBA acknowledges fieldwork assistance by Ana Acin, the Ordesa y Monte Perdido National Park, and the Servicio de Medio Ambiente de Soria de la Junta de Castilla y Leon. RGB and MPB received funding from BECC - Biodiversity and Ecosystem services in a Changing Climate. MPB received funding from The European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant Agreement No. 657627 and The Swedish Research Council FORMAS - future research leaders No. 2016-01187. JB received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). NB received funding from the SNF (grant numbers 40FA40_154245, 20FI21_148992, 20FI20_173691, 407340_172433) and from the EU (contract no. 774124). ICOS EU research infrastructure. EU FP7 NitroEurope. EU FP7 ECLAIRE. The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. This is the study 829 of the BDFFP Technical Series. to The EUCFLUX Cooperative Research Program and Forest Science and Research Institute-IPEF. NC acknowledges funding by Stelvio National Park. JC was funded by the Spanish government grant CGL2016-78093-R. ANID-FONDECYT 1181745 AND INSTITUTO ANTARTICO CHILENO (INACH FR-0418). SC received funding from the German Research Foundation (grant no. DFG- FZT 118, 202548816). The National Science Foundation, Poland (grant no. UMO-2017/27/B/ST10/02228), within the framework of the 'Carbon dioxide uptake potential of sphagnum peatlands in the context of atmospheric optical parameters and climate changes' (KUSCO2) project. SLC received funding from the South African National Research Foundation and the Australian Research Council. FM, M, KU and MU received funding from Slovak Research and Development Agency (no. APVV-19-0319). Instituto Antartico Chileno (INACH_RT-48_16), Iniciativa Cientifica Milenio Nucleo Milenio de Salmonidos Invasores INVASAL, Institute of Ecology and Biodiversity (IEB), CONICYT PIA APOYO CCTE AFB170008. PC is supported by NERC core funding to the BAS 'Biodiversity, Evolution and Adaptation Team. EJC received funding from the Norwegian Research Council (grant number 230970). GND was supported by NERC E3 doctoral training partnership grant (NE/L002558/1) at the University of Edinburgh and the Carnegie Trust for the Universities of Scotland. Monitoring stations on Livingston Island, Antarctica, were funded by different research projects of the Gobern of Spain (PERMAPLANET CTM2009-10165-E; ANTARPERMA CTM2011-15565-E; PERMASNOW CTM2014-52021-R), and the PERMATHERMAL arrangement between the University of Alcala and the Spanish Polar Committee. GN received funding from the Autonomous Province of Bolzano (ITA). The infrastructure, part of the UK Environmental Change Network, was funded historically in part by ScotNature and NERC National Capability LTS-S: UK-SCAPE; NE/R016429/1). JD was supported by the Czech Science Foundation (GA17-19376S) and MSMT (LTAUSA18007). ED received funding from the Kempe Foundation (JCK-1112 and JCK-1822). The infrastructure was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I), grant number LO1415 and by the project for national infrastructure support CzeCOS/ICOS Reg. No. LM2015061. NE received funding from the German Research Foundation (DFG- FZT 118, 202548816). BE received funding from the GLORIA-EU project no EVK2-CT2000-00056, the Autonomous Province of Bolzano (ITA), from the Tiroler Wissenschaftsfonds and from the University of Innsbruck. RME was supported by funding to the SAFE Project from the Sime Darby Foundation. OF received funding from the German Research Foundation (DFG- FZT 118, 202548816). EFP was supported by the Jardin Botanico Atlantico (SV-20-GIJON-JBA). MF was funded by the German Federal Ministry of Education and Research (BMBF) in the context of The Future Okavango (Grant No. 01LL0912) and SASSCAL (01LG1201M; 01LG1201N) projects. EFL received funding from ANID PIA / BASAL FB210006. RAG received funding from Fondecyt 11170516, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MBG received funding from National Parks (DYNBIO, #1656/2015) and The Spanish Research Agency (VULBIMON, #CGL2017-90040-R). MG received funding from the Swiss National Science Foundation (ICOS-CH Phase 2 20FI20_173691). FG received funding from the German Research Foundation (DFG- FZT 118, 202548816). KG and TS received funding from the UK Biotechnology and Biological Research Council (grant = 206/D16053). SG was supported by the Research Foundation Flanders (FWO) (project G0H1517N). KJ and PH received funding from the EU Horizon2020 INFRAIA project eLTER-PLUS (871128), the project LTER-CWN (FFG, F&E Infrastrukturforderung, project number 858024) and the Austrian Climate Research Program (ACRP7 - CentForCSink - KR14AC7K11960). SH and ARB received funding through iDiv funded by the German Research Foundation (DFG- FZT 118, 202548816). LH received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). MH received funding from the Baden-Wurttemberg Ministry of Science, Research and Arts via the project DRIeR (Drought impacts, processes and resilience: making the in-visible visible). LH received funding from International Polar Year, Weston Foundation, and ArcticNet. DH received funding from Natural Sciences and Engineering Council (Canada) (RGPIN-06691). TTH received funding from Independent Research Fund Denmark (grant no. 8021-00423B) and Villum Foundation (grant no. 17523). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078, VAN2020/01 and CZ.02.1.01/0.0/0.0/16_013/0001708). KH, CG and CJD received funding from Bolin Centre for Climate Research, Stockholm University and from the Swedish research council Formas [grant n:o 2014-00530 to KH]. JJ received funding from the Funding Org. Swedish Forest Society Foundation (grant nr. 2018-485-Steg 2 2017) and Swedish Research Council FORMAS (grant nr. 2018-00792). AJ received funding from the German Federal Ministry of Education and Research BMBF (Grant Nr. FKZ 031B0516C SUSALPS) and the Oberfrankenstiftung (Grant Nr. OFS FP00237). ISJ received funding from the Energy Research Fund (NYR-11 - 2019, NYR-18 - 2020). TJ was supported by a UK NERC Independent Research Fellowship (grant number: NE/S01537X/1). RJ received funding from National Science Centre of Poland (grant number: 2016/21/B/ST10/02271) and Polish National Centre for Research and Development (grant number: Pol-Nor/203258/31/2013). VK received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). AAK received funding from MoEFCC, Govt of India (AICOPTAX project F. No. 22018/12/2015/RE/Tax). NK received funding from FORMAS (grants nr. 2018-01781, 2018-02700, 2019-00836), VR, support from the research infrastructure ICOS-SE. BK received funding from the National Research, Development and Innovation Fund of Hungary (grant nr. K128441). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078 and CZ.02.1.01/0.0/0.0/16_013/0001708). Project B1-RNM-163-UGR-18-Programa Operativo FEDER 2018, partially funded data collection. Norwegian Research Council (NORKLIMA grants #184912 and #244525) awarded to Vigdis Vandvik. MM received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). Project CONICYT-PAI 79170119 and ANID-MPG 190029 awarded to Roy Mackenzie. This work was partly funded by project MIUR PON Cluster OT4CLIMA. RM received funding from the SNF project number 407340_172433. FM received funding from the Stelvio National Park. PM received funding from AIAS-COFUND fellowship programme supported by the Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration (grant agreement no 609033) and the Aarhus University Research Foundation, Denmark. RM received funding from the Ministry of Education, Youth and Sports of the Czech Republic (project LTT17033). SM and VM received funding from EU FP6 NitroEurope (grant nr. 17841), EU FP7 ECLAIRE (grant nr. 282910), the Ministry of Education and Science of Ukraine (projects nr. 505, 550, 574, 602), GEF-UNEP funded "Toward INMS" project (grant nr. NEC05348) and ENI CBC BSB PONTOS (grant nr. BSB 889). The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. FJRM was financially supported by the Netherlands Organization for Scientific Research (VICI grant 016.VICI.170.072) and Research Foundation Flanders (FWO-SBO grant S000619N). STM received funding from New Frontiers in Research Fund-Exploration (grant nr. NFRF-2018-02043) and NSERC Discovery. MMR received funding from the Australian Research Council Discovery Early Career Research Award (grant nr. DE180100570). JAM received funding from the National Science Foundation (DEB 1557094), International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, ForestGEO, and Tyson Research Center. IM-S was funded by the UK Natural Environment Research Council through the ShrubTundra Project (NE/M016323/1). MBN received funding from FORMAS, VR, Kempe Foundations support from the research infrastructures ICOS and SITES. MDN received funding from CONICET (grant nr. PIP 112-201501-00609). Spanish Ministry of Science grant PID2019-110521GB-I00 and Catalan government grant 2017-1005. French National Research Agency (ANR) in the frame of the Cluster of Excellence COTE (project HydroBeech, ANR-10-LABX-45). VLIR-OUS, under the Institutional University Coorperation programme (IUC) with Mountains of the Moon University. Project LAS III 77/2017/B entitled: \"Estimation of net carbon dioxide fluxes exchanged between the forest ecosystem on post-agricultural land and between the tornado-damaged forest area and the atmosphere using spectroscopic and numerical methods\", source of funding: General Directorate of State Forests, Warsaw, Poland. Max Planck Society (Germany), RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-45-242908. Estonian Research Council (PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange). Canada-Denmark Arctic Research Station Early Career Scientist Exchange Program, from Polar knowledge Canada (POLAR) and the Danish Agency for Science and Higher Education. AP received funding from Fondecyt 1180205, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MP received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant nr. 2015.0047), and acknowledges funding from the Swedish Research Council (VR) with contributing research institutes to both the SITES and ICOS Sweden infrastructures. JP and RO were funded by the Spanish Ministry of Science grant PID2019-110521GB-I00, the fundacion Ramon Areces grant ELEMENTAL-CLIMATE, and the Catalan government grant 2017-1005. MPB received funding from the Svalbard Environmental Protection Fund (grant project number 15/128) and the Research Council of Norway (Arctic Field Grant, project number 269957). RP received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant INTER-TRANSFER nr. LTT20017). LTSER Zone Atelier Alpes; Federation FREE-Alpes. RP received funding from a Humboldt Fellowship for Experienced Researchers. Prokushkin AS and Zyryanov VI contribution has been supported by the RFBR grant #18-05-60203-Arktika. RPu received founding from the Polish National Science Centre (grant project number 2017/27/B/NZ8/00316). ODYSSEE project (ANR-13-ISV7-0004, PN-II-ID-JRP-RO-FR-2012). KR was supported through an Australian Government Research Training Program Scholarship. Fieldwork was supported by the Global Challenges program at the University of Wollongong, the ARC the Australian Antarctic Division and INACH. DR was funded by the project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' (ANR-20-EBI5-0004). SAR received funding from the Australian Research Council. NSF grant #1556772 to the University of Notre Dame. Pavia University (Italy). OR received funding from EU-LEAP-Agri (RAMSES II), EU-DESIRA (CASSECS), EU-H2020 (SustainSahel), AGROPOLIS and TOTAL Foundations (DSCATT), CGIAR (GLDC). AR was supported by the Russian Science Foundation (Grant 18-74-10048). Parc national des Ecrins. JS received funding from Vetenskapsradet grant nr (No: 2014-04270), ALTER-net multi-site grant, River LIFE project (LIFE08 NAT/S/000266), Flexpeil. Helmholtz Association long-term research program TERENO (Terrestrial Environmental Observatories). PS received funding from the Polish Ministry of Science and Higher Education (grant nr. N N305 304840). AS acknowledges funding by ETH Zurich project FEVER ETH-27 19-1. LSC received funding from NSERC Canada Graduate Scholarship (Doctoral) Program; LSC was also supported by ArcticNet-NCE (insert grant #). Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (141513/2017-9); FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (E26/200.84/2019). ZS received funding from the SRDA (grants nos. APVV-16-0325 and APVV-20-0365) and from the ERDF (grant no. ITMS 313011S735, CE LignoSilva). JS, MB and CA received funding from core budget of ETH Zurich. State excellence Program M-V \"WETSCAPES\". AfricanBioServices project funded by the EU Horizon 2020 grant number 641918. The authors from KIT/IMK-IFU acknowledge the funding received within the German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association and from the Bavarian Ministry of the Environment and Public Health (UGV06080204000). Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 192626868, in the framework of the collaborative German-Indonesian research project CRC 990 (SFB): 'EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)'. MS received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant nr. INTER-TRANSFER LTT19018). TT received funding from the Swedish National Space Board (SNSB Dnr 95/16) and the CASSECS project supported by the European Union. HJDT received funding from the UK Natural Environment Research Council (NERC doctoral training partnership grant NE/L002558/1). German Science Foundation (DFG) GraKo 2010 \"Response\". PDT received funding from the MEMOIRE project (PN-III-P1-1.1-PD2016-0925). Arctic Challenge for Sustainability II (ArCS II; JPMXD1420318865). JU received funding from Czech Science Foundation (grant nr. 21-11487S). TU received funding from the Romanian Ministry of Education and Research (CCCDI - UEFISCDI -project PN-III-P2-2.1-PED-2019-4924 and PN2019-2022/19270201-Ctr. 25N BIODIVERS 3-BIOSERV). AV acknowledge funding from RSF, project 21-14-00209. GFV received funding from the Dutch Research Council NWO (Veni grant, no. 863.14.013). Australian Research Council Discovery Early Career Research Award DE140101611. FGAV received funding from the Portuguese Science Foundation (FCT) under CEECIND/02509/2018, CESAM (UIDP/50017/2020+UIDB/50017/2020), FCT/MCTES through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Ordesa y Monte Perdido National Park. MVI received funding from the Spanish Ministry of Science and Innovation through a doctoral grant (FPU17/05869). JW received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). CR and SW received funding from the Swiss Federal Office for the Environment (FOEN) and the de Giacomi foundation. YY received funding from the National Natural Science Foundation of China (Grant no. 41861134039 and 41941015). ZY received funding from the National Natural Science Foundation of China (grant nr. 41877458). FZ received funding from the Swiss National Science Foundation (grant nr. 172198 and 193645). PZ received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant no. 2015.0047). JL received funding from (i) the Agence Nationale de la Recherche (ANR), under the framework of the young investigators (JCJC) funding instrument (ANR JCJC Grant project NoANR-19-CE32-0005-01: IMPRINT) (ii) the Centre National de la Recherche Scientifique (CNRS) (Defi INFINITI 2018: MORFO); and the Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE). Fieldwork in the Arctic got facilitated by funding from the EU INTERACT program. SN, UAT, JJA and JvO would like to thank the field team of the Vegetation Dynamics group for their efforts and hard work. We acknowledge Dominique Tristan for letting access to the field. For the logistic support the crew of INACH and Gabriel de Castilla Station team on Deception Island. We thank the Inuvialuit and Kluane First Nations for the opportunity to work on their land. MAdP acknowledges fieldwork assistance and logistics support to Unidad de Tecnologia Marina CSIC, and the crew of Juan Carlos I and Gabriel de Castilla Spanish Antarctic Stations, as well as to the different colleagues from UAH that helped on the instrument maintenance. ERF acknowledges fieldwork assistance by Martin Heggli. MBG acknowledges fieldwork and technical assistance by P Abadia, C Benede, P Bravo, J Gomez, M Grasa, R Jimenez, H Miranda, B Ponz, J Revilla and P Tejero and the Ordesa and Monte Perdido National Park staff. LH acknowledges field assistance by John Jacobs, Andrew Trant, Robert Way, Darroch Whitaker; we acknowledge the Inuit of Nunatsiavut, and the Co-management Board of Torngat Mountains National Park for their support of this project and acknowledge that the field research was conducted on their traditional lands. We thank our many bear guides, especially Boonie, Eli, Herman, John and Maria Merkuratsuk. AAK acknowledges field support of Akhtar Malik, Rameez Ahmad. Part of microclimatic records from Saxony was funded by the Saxon Switzerland National Park Administration. Tyson Research Center. JP acknowledges field support of Emmanuel Malet (Edytem) and Rangers of Reserves Naturelles de Haute-Savoie (ASTERS). Practical help: Roel H. Janssen, N. Huig, E. Bakker, Schools in the tepaseforsoket, Forskar fredag, Erik Herberg. The support by the Bavarian Forest National Park administration is highly appreciated. LvdB acknowledges CONAF and onsite support from the park rangers from PN Pan de Azucar, PN La Campana, PN Nahuelbuta and from communidad agricola Quebrada de Talca. JL and FS acknowledge Manuel Nicolas and all forest officers from the Office National des Forets (ONF) who are in charge of the RENECOFOR network and who provided help and local support for the installation and maintenance of temperature loggers in the field., Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 p ixels ( summarized f rom 8 519 u nique t emperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., FWO G018919N W001919N 12P1819N, DOB Ecology, University of Helsinki, Faculty of Science (MICROCLIM) 7510145, European Research Council (ERC) FORMICA 757833, Arctic Interactions at the University of Oulu, Academy of Finland 318930 337552, Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet, Societas pro Fauna et Flora Fennica, Grant Agency of the Czech Republic 20-28119S 20-05840Y GA17-19376S 21-11487S, Czech Academy of Sciences RVO 67985939, National Geographic Society 9480-14 WW-240R-17, CISSC (program ICRP) 2397, Iran National Science Foundation (INSF) 96005914, Scottish Government's Rural and Environment Science and Analytical Services Division, Qatar Petroleum QUEX-CAS-QP-RD-18/19, European Union's Horizon 2020 research and innovation program 678841, Swiss National Science Foundation (SNSF), European Commission 172198 193645 31003A_176044, Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137, Ministry of Science and Higher Education of the Russian Federation FSRZ-2020-0014, Independent Research Fund Denmark 8021-00423B 7027-00133B, German Research Foundation (DFG) DFG- FZT 118 202548816 TI 338/14-1 TI 338/14-2 BA 3843/6-1, grant project VEGA of the Ministry of Education of the Slovak Republic Slovak Academy of Sciences 2/0132/18, Forestry Commission, Universidad Javeriana, Direccion General de Cambio Climatico del Gobierno de Aragon, European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant 657627 SNF 407340_172433 40FA40_154245 20FI21_148992 20FI20_173691, European Commission 17841 774124, MCTI/CNPq/FNDCT 68/2013, Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal', Spanish Government, European Commission CGL2016-78093-R, ANID-FONDECYT 1181745, National Science Foundation, Poland UMO-2017/27/B/ST10/02228, National Research Foundation - South Africa, Australian Research Council, Slovak Research and Development Agency APVV-19-0319, Instituto Antartico Chileno INACH_RT-48_16 INACH FR-0418, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) PIA APOYO CCTE AFB170008 PIA AFB170008, UK Research & Innovation (UKRI), Natural Environment Research Council (NERC), Research Council of Norway, European Commission 230970, NERC E3 doctoral training partnership grant at the University of Edinburgh NE/L002558/1, Carnegie Trust for the Universities of Scotland, Gobern of Spain PERMAPLANET CTM2009-10165-E ANTARPERMA CTM2011-15565-E PERMASNOW CTM2014-52021-R, University of Alcala, Spanish Polar Committee, Autonomous Province of Bolzano (ITA), ScotNature, NERC National Capability LTS-S: UK-SCAPE NE/R016429/1, Ministry of Education, Youth & Sports - Czech Republic LTAUSA18007, Kempe Foundation JCK-1112 JCK-1822, Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I) LO1415, project for national infrastructure support CzeCOS/ICOS LM2015061 GLORIA-EU EVK2-CT2000-00056, Tiroler Wissenschaftsfonds, University of Innsbruck, Sime Darby Foundation, Jardin Botanico Atlantico SV-20-GIJON-JBA, Federal Ministry of Education & Research (BMBF) 01LL0912 01LG1201M 01LG1201N, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) CONICYT FONDECYT 11170516 1180205, ANID PIA / BASAL FB210006, National Parks (DYNBIO) 1656/2015, Spanish Research Agency (VULBIMON) CGL2017-90040-R, Swiss National Science Foundation (SNSF) 20FI20_173691, Biotechnology and Biological Sciences Research Council (BBSRC) 206/D16053 FWO G0H1517N, EU Horizon2020 INFRAIA project eLTER-PLUS 871128, project LTER-CWN (FFG, F&E Infrastrukturforderung) 858024, Austrian Climate Research Program ACRP7 - CentForCSink - KR14AC7K11960, iDiv by the German Research Foundation DFG- FZT 118 202548816, Baden-Wurttemberg Ministry of Science, Research and Arts, Weston Foundation, ArcticNet, Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-06691, Villum Foundation 17523, Ministry of Education, Youth & Sports - Czech Republic LM2015078 VAN2020/01 CZ.02.1.01/0.0/0.0/16_013/0001708 LTT17033 LTT20017 INTER-TRANSFER LTT19018, Bolin Centre for Climate Research, Stockholm University, Swedish Research Council Swedish Research Council Formas 2014-00530 2018-00792 2016-01187, Swedish Forest Society Foundation 2018-485-Steg 2 2017, Federal Ministry of Education & Research (BMBF) FKZ 031B0516C SUSALPS, Oberfrankenstiftung OFS FP00237, Energy Research Fund NYR-11 - 2019 NYR-18 - 2020, UK NERC Independent Research Fellowship NE/S01537X/1, National Science Centre, Poland 2016/21/B/ST10/02271, Polish National Centre for Research and Development Pol-Nor/203258/31/2013, MoEFCC, Govt of India (AICOPTAX project) 22018/12/2015/RE/Tax, Swedish Research Council Formas 2018-01781 2018-02700 2019-00836, research infrastructure ICOS-SE, National Research, Development and Innovation Fund of Hungary K128441, Programa Operativo FEDER 2018 B1-RNM-163-UGR-18, Norwegian Research Council (NORKLIMA grants) 184912 244525, CONICYT-PAI 79170119, ANID-MPG 190029, project MIUR PON Cluster OT4CLIMA, Stelvio National Park, AIAS-COFUND fellowship programme - Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration 609033, Aarhus University Research Foundation, Denmark, EU FP6 NitroEurope 17841, EU FP7 ECLAIRE 282910, Ministry of Education and Science of Ukraine 505 550 574 602, GEF-UNEP NEC05348, ENI CBC BSB PONTOS BSB 889, Netherlands Organization for Scientific Research (NWO) 016.VICI.170.072, New Frontiers in Research Fund-Exploration NFRF-2018-02043, Natural Sciences and Engineering Research Council of Canada (NSERC), Australian Research Council DE180100570, National Science Foundation (NSF) DEB 1557094, International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, Smithsonian Institution Smithsonian Tropical Research Institute, Tyson Research Center, UK Natural Environment Research Council through the ShrubTundra Project NE/M016323/1, Swedish Research Council Formas Swedish Research Council, Kempe Foundations - research infrastructure ICOS Kempe Foundations - research infrastructure SITES, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) PIP 112-201501-00609, Spanish Government PID2019-110521GB-I00, Catalan government 2017-1005, French National Research Agency (ANR) ANR-10-LABX-45, General Directorate of State Forests, Warsaw, Poland, Max Planck Society, Russian Foundation for Basic Research (RFBR), Krasnoyarsk Territory Krasnoyarsk Regional Fund of Science 20-45-242908, Estonian Research Council PRG609, Knut & Alice Wallenberg Foundation 2015.0047, Swedish Research Council, fundacion Ramon Areces grant ELEMENTAL-CLIMATE, Svalbard Environmental Protection Fund 15/128, Research Council of Norway 269957, Humboldt Fellowship for Experienced Researchers, Russian Foundation for Basic Research (RFBR) 18-05-60203-Arktika, Polish National Science Centre 2017/27/B/NZ8/00316, ODYSSEE project (PN-II-ID-JRP-RO-FR-2012) ANR-13-ISV7-0004, Australian Government, Department of Industry, Innovation and Science, Global Challenges program at the University of Wollongong, ARC the Australian Antarctic Division, INACH, project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' ANR-20-EBI5-0004, National Science Foundation (NSF) 1556772, EU-LEAP-Agri (RAMSES II) EU-DESIRA (CASSECS) EU-H2020 (SustainSahel), AGROPOLIS, Total SA, CGIAR, Russian Science Foundation (RSF) 18-74-10048, Swedish Research Council 2014-04270, ALTER-net multi-site grant, River LIFE project LIFE08 NAT/S/000266, Flexpeil, Ministry of Science and Higher Education, Poland N N305 304840, ETH Zurich FEVER ETH-27 19-1, NSERC Canada Graduate Scholarship (Doctoral) Program, ArcticNet-NCE, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) 141513/2017-9, Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ) E26/200.84/2019, SRDA APVV-16-0325 APVV-20-0365, ERDF (CE LignoSilva) ITMS 313011S735, ETH Zurich, EU Horizon 2020 641918, German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association, Bavarian Ministry of the Environment and Public Health UGV06080204000 German Research Foundation (DFG) 192626868, Swedish National Space Board (SNSB) 95/16, CASSECS project by the European Union, Natural Environment Research Council (NERC) NE/L002558/1, MEMOIRE project PN-III-P1-1.1-PD2016-0925, Arctic Challenge for Sustainability II (ArCS II) JPMXD1420318865, Consiliul National al Cercetarii Stiintifice (CNCS), Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii (UEFISCDI) PN-III-P2-2.1-PED-2019-4924 PN2019-2022/19270201, 25N BIODIVERS 3-BIOSERV, Russian Science Foundation (RSF) 21-14-00209., Netherlands Organization for Scientific Research (NWO) 863.14.013, Australian Research Council DE140101611, Portuguese Foundation for Science and Technology CEECIND/02509/2018 CESAM UIDP/50017/2020+UIDB/50017/2020, Portuguese Foundation for Science and Technology European Commission, FEDER, within the PT2020 Partnership Agreement, Compete 2020, Spanish Government FPU17/05869, Swiss Federal Office for the Environment (FOEN), Giacomi foundation, National Natural Science Foundation of China (NSFC) 41861134039 41941015 41877458, French National Research Agency (ANR) ANR-19-CE32-0005-01 Centre National de la Recherche Scientifique (CNRS), Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE), EU INTERACT program, Inuit of Nunatsiavut, Co-management Board of Torngat Mountains National Park, Saxon Switzerland National Park Administration, Bavarian Forest National Park administration, BECC - Biodiversity and Ecosystem services in a Changing Climate, Research Foundation Flanders (FWO-SBO) S000619N

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results