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2. Novel community data in ecology -- properties and prospects

Author

Hartig, Florian, Abrego, Nerea, Bush, Alex, Chase, Jonathan M., Guillera-Arroita, Gurutzeta, Leibold, Mathew A., Ovaskainen, Otso, Pellissier, Loïc, Pichler, Maximilian, Poggiato, Giovanni, Pollock, Laura, Si-Moussi, Sara, Thuiller, Wilfried, Viana, Duarte S., Warton, David I., Zurell, Damaris, and Yu, Douglas W.

Subjects
Quantitative Biology - Populations and Evolution
Abstract

New technologies for acquiring biological information such as eDNA, acoustic or optical sensors, make it possible to generate spatial community observations at unprecedented scales. The potential of these novel community data to standardize community observations at high spatial, temporal, and taxonomic resolution and at large spatial scale ('many rows and many columns') has been widely discussed, but so far, there has been little integration of these data with ecological models and theory. Here, we review these developments and highlight emerging solutions, focusing on statistical methods for analyzing novel community data, in particular joint species distribution models; the new ecological questions that can be answered with these data; and the potential implications of these developments for policy and conservation.

Published
2024
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5. A global biodiversity observing system to unite monitoring and guide action

Author

Gonzalez, Andrew, Vihervaara, Petteri, Balvanera, Patricia, Bates, Amanda E., Bayraktarov, Elisa, Bellingham, Peter J., Bruder, Andreas, Campbell, Jillian, Catchen, Michael D., Cavender-Bares, Jeannine, Chase, Jonathan, Coops, Nicholas, Costello, Mark J., Czúcz, Bálint, Delavaud, Aurélie, Dornelas, Maria, Dubois, Grégoire, Duffy, Emmett J., Eggermont, Hilde, Fernandez, Miguel, Fernandez, Nestor, Ferrier, Simon, Geller, Gary N., Gill, Michael, Gravel, Dominique, Guerra, Carlos A., Guralnick, Robert, Harfoot, Michael, Hirsch, Tim, Hoban, Sean, Hughes, Alice C., Hugo, Wim, Hunter, Margaret E., Isbell, Forest, Jetz, Walter, Juergens, Norbert, Kissling, W. Daniel, Krug, Cornelia B., Kullberg, Peter, Le Bras, Yvan, Leung, Brian, Londoño-Murcia, Maria Cecilia, Lord, Jean-Michel, Loreau, Michel, Luers, Amy, Ma, Keping, MacDonald, Anna J., Maes, Joachim, McGeoch, Melodie, Mihoub, Jean Baptiste, Millette, Katie L., Molnar, Zsolt, Montes, Enrique, Mori, Akira S., Muller-Karger, Frank E., Muraoka, Hiroyuki, Nakaoka, Masahiro, Navarro, Laetitia, Newbold, Tim, Niamir, Aidin, Obura, David, O’Connor, Mary, Paganini, Marc, Pelletier, Dominique, Pereira, Henrique, Poisot, Timothée, Pollock, Laura J., Purvis, Andy, Radulovici, Adriana, Rocchini, Duccio, Roeoesli, Claudia, Schaepman, Michael, Schaepman-Strub, Gabriela, Schmeller, Dirk S., Schmiedel, Ute, Schneider, Fabian D., Shakya, Mangal Man, Skidmore, Andrew, Skowno, Andrew L., Takeuchi, Yayioi, Tuanmu, Mao-Ning, Turak, Eren, Turner, Woody, Urban, Mark C., Urbina-Cardona, Nicolás, Valbuena, Ruben, Van de Putte, Anton, van Havre, Basile, Wingate, Vladimir Ruslan, Wright, Elaine, and Torrelio, Carlos Zambrana

Published
2023
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8. Biodiversity’s ubiquitous signal

Author

Chase, Jonathan M.

Abstract

Review of: The Species–Area Relationship: Theory and ApplicationEdited by Thomas J. Matthews, Kostas A. Triantis, Robert J. WhittakerCambridge University PressMarch 2021Online ISBN:9781108569422https://doi.org/10.1017/9781108569422

Published
2022

9. A Survey of Music Teachers' Working Conditions

Author

Sanderson, David N., Buzza, Timothy D., Jannings, Christopher S., Kim, Kangwon, Maure, Bryan D., and Soderberg-Chase, Jonathan

Abstract

For this study the researchers examined music teacher responses to survey items pertaining to their working conditions. Participants reported their satisfaction about factors related to music program funding, facilities, workload, professional development, and school culture. Responses were analyzed to detect possible differences in responses due to demographic factors of teachers, schools, and teaching assignments. Initial findings indicated that teachers were generally satisfied with their all aspects of their working conditions with the exception of professional development. A MANOVA was conducted to determine if there were any significant differences in responses based on participant demographics. While our study found no disparities in working conditions due to teacher factors, we did find a statistically significant link between the socioeconomic status of the school community and teacher perceptions of the funding, facilities, and culture within the school. This relationship was found to be moderated by the locale of the school, with greater differences in working conditions between low and high socioeconomically situated music programs in suburban and urban communities compared to their more rural peers. Open-ended responses from participants suggested that while disparities exist between music programs, teachers may judge their working conditions in comparison to their perceptions about other schools rather than the realities.

Published
2019

10. Multifaceted patterns of diversity and co-occurrence along an extensive survey of shrubland communities across China

Author

Chen, Dongdong, Li, Li, Chase, Jonathan M., Hu, Jun, Yin, Huajun, Zhao, Chunzhang, Shen, Guozhen, Zheng, Chengyang, Li, Ting, Cheng, Xinying, Ma, Wenhong, Guo, Weihua, Zhang, Feng, Zhou, GuoYing, Zhang, Lin, Mohammat, Anwar, Li, Yunxiang, Xiong, Gaoming, Liu, Xiao, Gong, Hede, Chen, Fangqing, Li, Yuelin, Xu, Yaozhan, Yang, Xiaocheng, Liao, Xinrong, Huang, Xin, Liu, Qiurong, Luo, Yao, and Liu, Qing

Published
2024
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11. Restoration ecology through the lens of coexistence theory

Author

Hallett, Lauren M., Aoyama, Lina, Barabás, György, Gilbert, Benjamin, Larios, Loralee, Shackelford, Nancy, Werner, Chhaya M., Godoy, Oscar, Ladouceur, Emma R., Lucero, Jacob E., Weiss-Lehman, Christopher P., Chase, Jonathan M., Chu, Chengjin, Harpole, W. Stanley, Mayfield, Margaret M., Faist, Akasha M., and Shoemaker, Lauren G.

Published
2023
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13. Author Correction: A global biodiversity observing system to unite monitoring and guide action

Author

Gonzalez, Andrew, Vihervaara, Petteri, Balvanera, Patricia, Bates, Amanda E., Bayraktarov, Elisa, Bellingham, Peter J., Bruder, Andreas, Campbell, Jillian, Catchen, Michael D., Cavender-Bares, Jeannine, Chase, Jonathan, Coops, Nicholas, Costello, Mark J., Czúcz, Bálint, Delavaud, Aurélie, Dornelas, Maria, Dubois, Grégoire, Duffy, Emmett J., Eggermont, Hilde, Fernandez, Miguel, Fernandez, Nestor, Ferrier, Simon, Geller, Gary N., Gill, Michael, Gravel, Dominique, Guerra, Carlos A., Guralnick, Robert, Harfoot, Michael, Hirsch, Tim, Hoban, Sean, Hughes, Alice C., Hugo, Wim, Hunter, Margaret E., Isbell, Forest, Jetz, Walter, Juergens, Norbert, Kissling, W. Daniel, Krug, Cornelia B., Kullberg, Peter, Le Bras, Yvan, Leung, Brian, Londoño-Murcia, Maria Cecilia, Lord, Jean-Michel, Loreau, Michel, Luers, Amy, Ma, Keping, MacDonald, Anna J., Maes, Joachim, McGeoch, Melodie, Mihoub, Jean Baptiste, Millette, Katie L., Molnar, Zsolt, Montes, Enrique, Mori, Akira S., Muller-Karger, Frank E., Muraoka, Hiroyuki, Nakaoka, Masahiro, Navarro, Laetitia, Newbold, Tim, Niamir, Aidin, Obura, David, O’Connor, Mary, Paganini, Marc, Pelletier, Dominique, Pereira, Henrique, Poisot, Timothée, Pollock, Laura J., Purvis, Andy, Radulovici, Adriana, Rocchini, Duccio, Roeoesli, Claudia, Schaepman, Michael, Schaepman-Strub, Gabriela, Schmeller, Dirk S., Schmiedel, Ute, Schneider, Fabian D., Shakya, Mangal Man, Skidmore, Andrew, Skowno, Andrew L., Takeuchi, Yayioi, Tuanmu, Mao-Ning, Turak, Eren, Turner, Woody, Urban, Mark C., Urbina-Cardona, Nicolás, Valbuena, Ruben, Van de Putte, Anton, van Havre, Basile, Wingate, Vladimir Ruslan, Wright, Elaine, and Torrelio, Carlos Zambrana

Published
2023
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15. Integrating the underlying structure of stochasticity into community ecology.

Author

Shoemaker, Lauren, Sullivan, Lauren, Donohue, Ian, Cabral, Juliano, Williams, Ryan, Mayfield, Margaret, Chase, Jonathan, Chu, Chengjin, Harpole, W, Huth, Andreas, HilleRisLambers, Janneke, James, Aubrie, Kraft, Nathan, May, Felix, Muthukrishnan, Ranjan, Satterlee, Sean, Taubert, Franziska, Wang, Xugao, Wiegand, Thorsten, Yang, Qiang, and Abbott, Karen

Subjects
autocorrelation, demographic stochasticity, distribution, diversity, environmental stochasticity, population dynamics, scale, uncertainty, Ecology, Ecosystem, Models, Biological, Models, Theoretical, Population Dynamics, Stochastic Processes
Abstract

Stochasticity is a core component of ecology, as it underlies key processes that structure and create variability in nature. Despite its fundamental importance in ecological systems, the concept is often treated as synonymous with unpredictability in community ecology, and studies tend to focus on single forms of stochasticity rather than taking a more holistic view. This has led to multiple narratives for how stochasticity mediates community dynamics. Here, we present a framework that describes how different forms of stochasticity (notably demographic and environmental stochasticity) combine to provide underlying and predictable structure in diverse communities. This framework builds on the deep ecological understanding of stochastic processes acting at individual and population levels and in modules of a few interacting species. We support our framework with a mathematical model that we use to synthesize key literature, demonstrating that stochasticity is more than simple uncertainty. Rather, stochasticity has profound and predictable effects on community dynamics that are critical for understanding how diversity is maintained. We propose next steps that ecologists might use to explore the role of stochasticity for structuring communities in theoretical and empirical systems, and thereby enhance our understanding of community dynamics.

Published
2020

16. A global database for metacommunity ecology, integrating species, traits, environment and space

Author

Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, de Campos, Ramiro, de Voogd, Nicole, Doledec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J, Farneda, Fábio, Hernandez, Domingo Flores, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves-Souza, Thiago, Higuti, Janet, Humbert, Jean-Yves, Krasnov, Boris R, Saux, Eric Le, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andres, Menz, Myles HM, Meyer, Christoph FJ, Miranda, Julia Ramos, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C, Purschke, Oliver, Raevel, Valerie, Reitalu, Triin, Renema, Willem, Ribera, Ignacio, Robinson, Natalie, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen-Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, Braak, Cajo ter, Urban, Mark C, Klink, Roel van, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J, Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, and Chase, Jonathan M

Subjects
Climate Change Impacts and Adaptation, Ecological Applications, Biological Sciences, Ecology, Environmental Sciences, Life on Land, Animals, Biodiversity, Biota, Plants
Abstract

The use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; "CESTES". Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology.

Published
2020

17. Author Correction: A global database for metacommunity ecology, integrating species, traits, environment and space

Author

Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, de Campos, Ramiro, de Voogd, Nicole, Doledec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J, Farneda, Fábio, Hernandez, Domingo Flores, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves-Souza, Thiago, Higuti, Janet, Humbert, Jean-Yves, Krasnov, Boris R, Saux, Eric Le, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andres, Menz, Myles HM, Meyer, Christoph FJ, Miranda, Julia Ramos, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C, Purschke, Oliver, Raevel, Valerie, Reitalu, Triin, Renema, Willem, Ribera, Ignacio, Robinson, Natalie, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen-Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, Braak, Cajo ter, Urban, Mark C, Klink, Roel van, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J, Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, and Chase, Jonathan M

Subjects
Environmental Sciences, Biological Sciences, Ecology
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

20. Risk-Aware Procurement Optimization in a Global Technology Supply Chain

Author

Chase, Jonathan, Yang, Jingfeng, Lau, Hoong Chuin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, de Armas, Jesica, editor, Ramalhinho, Helena, editor, and Voß, Stefan, editor

Published
2022
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22. A framework for disentangling ecological mechanisms underlying the island species–area relationship

Author

Chase, Jonathan M., Gooriah, Leana, May, Felix, Ryberg, Wade A., Schuler, Matthew S., Craven, Dylan, and Knight, Tiffany M.

Subjects
Area per se, Alpha-diversity, Beta-diversity, Biodiversity, Gamma-Diversity, Heterogeneity, Fragmentation, Island, Sampling Effects, Scale, Species–Area Relationship, Individual-Based Rarefaction
Abstract

The relationship between an island’s size and the number of species on that island—the island species–area relationship (ISAR)—is one of the most well-known patterns in biogeography and forms the basis for understanding biodiversity loss in response to habitat loss and fragmentation. Nevertheless, there is contention about exactly how to estimate the ISAR and the influence of the three primary ecological mechanisms that drive it — random sampling, disproportionate effects, and heterogeneity. Key to this contention is that estimates of the ISAR are often confounded by sampling and estimates of measures (i.e., island-level species richness) that are not diagnostic of potential mechanisms. Here, we advocate a sampling-explicit approach for disentangling the possible ecological mechanisms underlying the ISAR using parameters derived from individual-based rarefaction curves estimated across spatial scales. If the parameters derived from rarefaction curves at each spatial scale show no relationship with island area, we cannot reject the hypothesis that ISARs result only from random sampling. However, if the derived metrics change with island area, we can reject random sampling as the only operating mechanism and infer that effects beyond sampling (i.e., disproportionate effects and/or heterogeneity) are also operating. Finally, if parameters indicative of within-island spatial variation in species composition (i.e., β-diversity) increase with island area, we can conclude that intra-island compositional heterogeneity plays a role in driving the ISAR. We illustrate this approach using representative case studies, including oceanic islands, natural island-like patches, and habitat fragments from formerly continuous habitat, illustrating several combinations of underlying mechanisms. This approach will offer insight into the role of sampling and other processes that underpin the ISAR, providing a more complete understanding of how, and some indication of why, patterns of biodiversity respond to gradients in island area.

Published
2019

23. InsectChange : a global database of temporal changes in insect and arachnid assemblages

Author

van Klink, Roel, Bowler, Diana E., Comay, Orr, Driessen, Michael M., Ernest, S. K. Morgan, Gentile, Alessandro, Gilbert, Francis, Gongalsky, Konstantin B., Owen, Jennifer, Pe’er, Guy, Pe’er, Israel, Resh, Vincent H., Rochlin, Ilia, Schuch, Sebastian, Swengel, Ann B., Swengel, Scott R., Valone, Thomas J., Vermeulen, Rikjan, Wepprich, Tyson, Wiedmann, Jerome L., and Chase, Jonathan M.

Published
2021

25. Drought tolerance and species abundance mediate dry season negative density dependence in a tropical forest.

Author

Song, Xiaoyang, Katabuchi, Masatoshi, Chase, Jonathan M., Johnson, Daniel J., Zhang, Wenfu, Deng, Xiaobao, Cao, Min, and Yang, Jie

Subjects
ENDANGERED species, TROPICAL forests, PLANT diversity, RAINFALL, DROUGHT tolerance
Abstract

Conspecific negative density dependence (CNDD) is thought to be a key process in maintaining plant diversity. However, the strength of CNDD is highly variable in space and time as well as among species, and correlates of this variation that might help to understand and explain it remain largely unquantified. Using Bayesian hierarchical models, we took advantage of 10‐year seedling monitoring data that were collected annually in every dry and rainy season in a seasonal tropical forest. We quantified the interspecific variation in the strength of CNDD and its temporal variation. We also examined potential correlates of this interspecific and temporal variation, including species functional traits (such as drought‐tolerant traits, defense‐related traits, and recourse acquisition traits) and species abundances. In the dry season, we found a negative relationship between the density of neighboring conspecific seedlings on seedling survival, while in the rainy season, there was a negative relationship between the density of neighboring conspecific adults on seedling survival. In addition, we found that interspecific variation in CNDD was related to drought‐tolerant traits in the dry season but not in the rainy season. Across years, we found that drought‐intolerant species suffer less CNDD during the dry seasons that have higher rainfall, whereas drought‐tolerant species suffer less CNDD when the dry season has lower rainfall. We also found that rare species suffered stronger CNDD in the dry season. Overall, our study highlights that CNDD is highly variable among species and through time, necessitating a deeper appreciation of the environmental and functional contexts of CNDD and their interactions. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Landscape configuration can flip species–area relationships in dynamic meta-food-webs.

Author

Ryser, Remo, Chase, Jonathan M., Gauzens, Benoit, Häussler, Johanna, Hirt, Myriam R., Rosenbaum, Benjamin, and Brose, Ulrich

Subjects
*SPECIES diversity, *FOOD chains, *BIOGEOGRAPHY, *POPULATION dynamics, *BIOMASS
Abstract

Spatial and trophic processes profoundly influence biodiversity, yet ecological theories often treat them independently. The theory of island biogeography and related theories on metacommunities predict higher species richness with increasing area across islands or habitat patches. In contrast, food-web theory explores the effects of traits and network structure on coexistence within local communities. Exploring the mechanisms by which landscape configurations interact with food-web dynamics in shaping metacommunities is important for our understanding of biodiversity. Here, we use a meta-food-web model to explore the role of landscape configuration in determining species richness and show that when habitat patches are interconnected by dispersal, more species can persist on smaller islands than predicted by classical theory. When patch sizes are spatially aggregated, this effect flattens the slope of the species–area relationship. Surprisingly, when landscapes have random patch-size distributions, the slope of the species–area relationships can even flip and become negative. This could be explained by higher biomass densities of lower trophic levels that then support species occupying higher trophic levels, which only persist on small and well-connected patches. This highlights the importance of simultaneously considering landscape configuration and local food-web dynamics to understand drivers of species–area relationships in metacommunities. This article is part of the theme issue 'Diversity-dependence of dispersal: interspecific interactions determine spatial dynamics'. [ABSTRACT FROM AUTHOR]

Published
2024
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27. OpenNahele: the open Hawaiian forest plot database

Author

Craven, Dylan, Knight, Tiffany M, Barton, Kasey E, Bialic-Murphy, Lalasia, Cordell, Susan, Giardina, Christian P, Gillespie, Thomas W, Ostertag, Rebecca, Sack, Lawren, and Chase, Jonathan M

Subjects
Ecological Applications, Biological Sciences, Ecology, Evolutionary Biology, Environmental Sciences, Life on Land, Hawaii, forests, islands, biodiversity, community ecology, evolutionary ecology, Environmental Science and Management, Genetics, Zoology, Environmental management
Abstract

BackgroundThis data paper provides a description of OpenNahele, the open Hawaiian forest plot database. OpenNahele includes 530 forest plots across the Hawaiian archipelago containing 43,590 individuals of 185 native and alien tree, shrub and tree fern species across six islands. We include estimates of maximum plant size (D950.1 and Dmax3) for 58 woody plant species, a key functional trait associated with dispersal distance and competition for light. OpenNahele can serve as a platform to test key ecological, evolutionary and conservation questions in a hotspot archipelago.New informationOpenNahele is the first database that compiles data from a large number of forest plots across the Hawaiian archipelago to allow broad and high resolution studies of biodiversity patterns.Keywords: Hawaii, forests, islands, biodiversity, community ecology, evolutionary ecology.

Published
2018

29. Nutrient addition in grasslands worldwide reveals proportional plant diversity decline across spatial scales but little change in beta diversity

Author

Chen, Qingqing, primary, Blowes, Shane, additional, Ladouceur, Emma, additional, Harpole, Stan, additional, Seabloom, Eric W., additional, Tognetti, Pedro Maximiliano, additional, MacDougall, Andrew, additional, Daleo, Pedro, additional, Hautier, Yann, additional, Stevens, Carly, additional, Morgan, John, additional, Veen, Ciska, additional, Risch, Anita C., additional, Roscher, Christiane, additional, Bakker, Jonathan D., additional, Adler, Peter, additional, Borer, Elizabeth, additional, Niu, Yujie, additional, Peri, Pablo L., additional, Martina, Jason, additional, Eisenhauer, Nico, additional, Virtanen, Risto, additional, Power, Sally, additional, Catford, Jane, additional, Tedder, Michelle, additional, Bagchi, Sumanta, additional, Wheeler, George, additional, Haider, Sylvia, additional, Maria, Caldeira, additional, Bugalho, Miguel, additional, Knops, Johannes, additional, Dickman, Chris, additional, Hagenah, Nicole, additional, Jentsch, Anke, additional, Wardle, Glenda, additional, Estrada, Catalina, additional, Donohue, Ian, additional, Gruner, Daniel, additional, Olde Venterink, Harry, additional, Lannes, Luciola, additional, Hersch-Green, Erika, additional, and Chase, Jonathan, additional

Published
2024
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31. Synthesis reveals approximately balanced biotic differentiation and homogenization

Author

Blowes, Shane A., primary, McGill, Brian, additional, Brambilla, Viviana, additional, Chow, Cher F. Y., additional, Engel, Thore, additional, Fontrodona-Eslava, Ada, additional, Martins, Inês S., additional, McGlinn, Daniel, additional, Moyes, Faye, additional, Sagouis, Alban, additional, Shimadzu, Hideyasu, additional, van Klink, Roel, additional, Xu, Wu-Bing, additional, Gotelli, Nicholas J., additional, Magurran, Anne, additional, Dornelas, Maria, additional, and Chase, Jonathan M., additional

Published
2024
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33. FragSAD : A database of diversity and species abundance distributions from habitat fragments

Author

Chase, Jonathan M., Liebergesell, Mario, Sagouis, Alban, May, Felix, Blowes, Shane A., Berg, Åke, Bernard, Enrico, Brosi, Berry J., Cadotte, Marc W., Cayuela, Luis, Chiarello, Adriano G., Cosson, Jean-Francois, Cresswell, Will, Dami, Filibus Danjuma, Dauber, Jens, Dickman, Chris R., Didham, Raphael K., Edwards, David P., Farneda, Fábio Z., Gavish, Yoni, Gonçalves-Souza, Thiago, Guadagnin, Demetrio Luis, Henry, Mickaël, López-Baucells, Adrià, Kappes, Heike, Nally, Ralph Mac, Manu, Shiiwua, Martensen, Alexandre Camargo, Mccollin, Duncan, Meyer, Christoph F. J., Neckel-Oliveira, Selvino, Nogueira, André, Pons, Jean-Marc, Raheem, Dinarzarde C., Ramos, Flavio Nunes, Rocha, Ricardo, Sam, Katerina, Slade, Eleanor, Stireman, John O., Struebig, Matthew J., Vasconcelos, Heraldo, and Ziv, Yaron

Published
2019

34. Novel community data in ecology-properties and prospects

Author

Deutsche Forschungsgemeinschaft, European Commission, Agence Nationale de la Recherche (France), Academy of Finland, European Research Council, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), University of Delaware Research Foundation, National Science Foundation (US), Chinese Academy of Sciences, Guillera-Arroita, Gurutzeta [0000-0002-8387-5739], Hartig, Florian, Abrego, Nerea, Bush, Alex, Chase, Jonathan M., Guillera-Arroita, Gurutzeta, Leibold, Mathew A., Ovaskainen, Otso, Pellissier, Loïc, Pichler, Maximilian, Poggiato, Giovanni, Pollock, Laura, Si-Moussi, Sara, Thuiller, Wilfried, Viana, Duarte S., Warton, David I., Zurell, Damaris, Yu, Douglas W., Deutsche Forschungsgemeinschaft, European Commission, Agence Nationale de la Recherche (France), Academy of Finland, European Research Council, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), University of Delaware Research Foundation, National Science Foundation (US), Chinese Academy of Sciences, Guillera-Arroita, Gurutzeta [0000-0002-8387-5739], Hartig, Florian, Abrego, Nerea, Bush, Alex, Chase, Jonathan M., Guillera-Arroita, Gurutzeta, Leibold, Mathew A., Ovaskainen, Otso, Pellissier, Loïc, Pichler, Maximilian, Poggiato, Giovanni, Pollock, Laura, Si-Moussi, Sara, Thuiller, Wilfried, Viana, Duarte S., Warton, David I., Zurell, Damaris, and Yu, Douglas W.

Abstract

New technologies for monitoring biodiversity such as environmental (e)DNA, passive acoustic monitoring, and optical sensors promise to generate automated spatiotemporal community observations at unprecedented scales and resolutions. Here, we introduce ‘novel community data’ as an umbrella term for these data. We review the emerging field around novel community data, focusing on new ecological questions that could be addressed; the analytical tools available or needed to make best use of these data; and the potential implications of these developments for policy and conservation. We conclude that novel community data offer many opportunities to advance our understanding of fundamental ecological processes, including community assembly, biotic interactions, micro- and macroevolution, and overall ecosystem functioning.

Published
2024

35. Addition of multiple limiting resources reduces grassland diversity.

Author

Harpole, W Stanley, Sullivan, Lauren L, Lind, Eric M, Firn, Jennifer, Adler, Peter B, Borer, Elizabeth T, Chase, Jonathan, Fay, Philip A, Hautier, Yann, Hillebrand, Helmut, MacDougall, Andrew S, Seabloom, Eric W, Williams, Ryan, Bakker, Jonathan D, Cadotte, Marc W, Chaneton, Enrique J, Chu, Chengjin, Cleland, Elsa E, D'Antonio, Carla, Davies, Kendi F, Gruner, Daniel S, Hagenah, Nicole, Kirkman, Kevin, Knops, Johannes MH, La Pierre, Kimberly J, McCulley, Rebecca L, Moore, Joslin L, Morgan, John W, Prober, Suzanne M, Risch, Anita C, Schuetz, Martin, Stevens, Carly J, and Wragg, Peter D

Subjects
Plants, Poaceae, Fertilizers, Biodiversity, Biomass, Light, Food, Grassland, MD Multidisciplinary, General Science & Technology
Abstract

Niche dimensionality provides a general theoretical explanation for biodiversity-more niches, defined by more limiting factors, allow for more ways that species can coexist. Because plant species compete for the same set of limiting resources, theory predicts that addition of a limiting resource eliminates potential trade-offs, reducing the number of species that can coexist. Multiple nutrient limitation of plant production is common and therefore fertilization may reduce diversity by reducing the number or dimensionality of belowground limiting factors. At the same time, nutrient addition, by increasing biomass, should ultimately shift competition from belowground nutrients towards a one-dimensional competitive trade-off for light. Here we show that plant species diversity decreased when a greater number of limiting nutrients were added across 45 grassland sites from a multi-continent experimental network. The number of added nutrients predicted diversity loss, even after controlling for effects of plant biomass, and even where biomass production was not nutrient-limited. We found that elevated resource supply reduced niche dimensionality and diversity and increased both productivity and compositional turnover. Our results point to the importance of understanding dimensionality in ecological systems that are undergoing diversity loss in response to multiple global change factors.

Published
2016

38. Novel community data in ecology-properties and prospects

Author

Hartig, Florian, primary, Abrego, Nerea, additional, Bush, Alex, additional, Chase, Jonathan M., additional, Guillera-Arroita, Gurutzeta, additional, Leibold, Mathew A., additional, Ovaskainen, Otso, additional, Pellissier, Loïc, additional, Pichler, Maximilian, additional, Poggiato, Giovanni, additional, Pollock, Laura, additional, Si-Moussi, Sara, additional, Thuiller, Wilfried, additional, Viana, Duarte S., additional, Warton, David I., additional, Zurell, Damaris, additional, and Yu, Douglas W., additional

Published
2023
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