Dominant species predict plant richness and biomass in global grasslands
- Autores
- Zhang, Pengfei; Seabloom, Eric William; Foo, Jasmine; MacDougall, Andrew S.; Harpole, William Stanley; Adler, Peter B.; Hautier, Yann; Eisenhauer, Nico; Spohn, Marie; Bakker, Jonathan D.; Peri, Pablo Luis; Borer, Elizabeth T.
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The bidirectional relationship between plant species richness and community biomass is often variable and poorly resolved in natural grassland ecosystems, impeding progress in predicting impacts of environmental changes. Most biological communities have long-tailed species abundance distributions (for example, biomass, cover, number of individuals), a general property that may provide predictive power for species richness and community biomass. Here we show mathematical relationships between community characteristics and the abundance of dominant species arising from long-tailed distributions and test these predictions using observational and experimental data from 76 grassland sites across 6 continents. We find that community biomass provides little predictive ability for community richness, consistent with previous findings. By contrast, the relative abundance of dominant species quantitatively predicts species richness, whereas their absolute abundance quantitatively predicts community biomass under both ambient and altered environmental conditions, as expected mathematically. These results are robust to the type of abundance measure used. Three types of simulated data further show the generality of these results. Our integrative framework, arising from a few dominant species and mathematical properties of species abundance distributions, fills a persistent gap in our ability to predict community richness and biomass under ambient and anthropogenically altered conditions.
EEA Santa Cruz, INTA
Fil: Zhang, Pengfei. Lanzhou University. College of Ecology. State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; China.
Fil: Zhang, Pengfei. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos
Fil: Seabloom, Eric William. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos
Fil: Foo, Jasmine. University of Minnesota. School of Mathematics; Estados Unidos
Fil: MacDougall, Andrew S. University of Guelph. Department of Integrative Biology; Canadá.
Fil: Harpole, William Stanley. German Centre for Integrative Biodiversity Research (iDiv); Alemania
Fil: Harpole, William Stanley. Helmholtz Centre for Environmental Research – UFZ. Department of Physiological Diversity; Alemania
Fil: Harpole, William Stanley. Martin Luther University Halle-Wittenberg; Alemania
Fil: Adler, Peter B. Utah State University. Department of Wildland Resources and the Ecology Center; Estaodos Unidos
Fil: Hautier, Yann. Utrecht University. Department of Biology. Ecology and Biodiversity Group; Países Bajos
Fil: Eisenhauer, Nico. German Centre for Integrative Biodiversity Research; Alemania
Fil: Eisenhauer, Nico. Leipzig University. Institute of Biology; Alemania
Fil: Spohn, Marie. Swedish University of Agricultural Sciences (SLU). Department of Soil and Environment; Suecia
Fil: Bakker, Jonathan D. University of Washington. School of Environmental and Forest Sciences; Estados Unidos
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.
Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Borer, Elizabeth T. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos - Fuente
- Nature Ecology & Evolution 9 : 924-936. (May 2025)
- Materia
-
Pastures
Biomass
Dominant Species
Abundance
Pastizales
Biomasa
Especies Dominantes
Abundancia
Plant Richness
Community Biomass
Impacts of Environmental Changes
Community Richness
Riqueza Vegetal
Biomasa Comunitaria
Impactos de los Cambios Ambientales
Riqueza de la Comunidad - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/22720
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Dominant species predict plant richness and biomass in global grasslandsZhang, PengfeiSeabloom, Eric WilliamFoo, JasmineMacDougall, Andrew S.Harpole, William StanleyAdler, Peter B.Hautier, YannEisenhauer, NicoSpohn, MarieBakker, Jonathan D.Peri, Pablo LuisBorer, Elizabeth T.PasturesBiomassDominant SpeciesAbundancePastizalesBiomasaEspecies DominantesAbundanciaPlant RichnessCommunity BiomassImpacts of Environmental ChangesCommunity RichnessRiqueza VegetalBiomasa ComunitariaImpactos de los Cambios AmbientalesRiqueza de la ComunidadThe bidirectional relationship between plant species richness and community biomass is often variable and poorly resolved in natural grassland ecosystems, impeding progress in predicting impacts of environmental changes. Most biological communities have long-tailed species abundance distributions (for example, biomass, cover, number of individuals), a general property that may provide predictive power for species richness and community biomass. Here we show mathematical relationships between community characteristics and the abundance of dominant species arising from long-tailed distributions and test these predictions using observational and experimental data from 76 grassland sites across 6 continents. We find that community biomass provides little predictive ability for community richness, consistent with previous findings. By contrast, the relative abundance of dominant species quantitatively predicts species richness, whereas their absolute abundance quantitatively predicts community biomass under both ambient and altered environmental conditions, as expected mathematically. These results are robust to the type of abundance measure used. Three types of simulated data further show the generality of these results. Our integrative framework, arising from a few dominant species and mathematical properties of species abundance distributions, fills a persistent gap in our ability to predict community richness and biomass under ambient and anthropogenically altered conditions.EEA Santa Cruz, INTAFil: Zhang, Pengfei. Lanzhou University. College of Ecology. State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; China.Fil: Zhang, Pengfei. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados UnidosFil: Seabloom, Eric William. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados UnidosFil: Foo, Jasmine. University of Minnesota. School of Mathematics; Estados UnidosFil: MacDougall, Andrew S. University of Guelph. Department of Integrative Biology; Canadá.Fil: Harpole, William Stanley. German Centre for Integrative Biodiversity Research (iDiv); AlemaniaFil: Harpole, William Stanley. Helmholtz Centre for Environmental Research – UFZ. Department of Physiological Diversity; AlemaniaFil: Harpole, William Stanley. Martin Luther University Halle-Wittenberg; AlemaniaFil: Adler, Peter B. Utah State University. Department of Wildland Resources and the Ecology Center; Estaodos UnidosFil: Hautier, Yann. Utrecht University. Department of Biology. Ecology and Biodiversity Group; Países BajosFil: Eisenhauer, Nico. German Centre for Integrative Biodiversity Research; AlemaniaFil: Eisenhauer, Nico. Leipzig University. Institute of Biology; AlemaniaFil: Spohn, Marie. Swedish University of Agricultural Sciences (SLU). Department of Soil and Environment; SueciaFil: Bakker, Jonathan D. University of Washington. School of Environmental and Forest Sciences; Estados UnidosFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Borer, Elizabeth T. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados UnidosSpringer Nature2025-06-19T10:11:47Z2025-06-19T10:11:47Z2025-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22720https://www.nature.com/articles/s41559-025-02701-yZhang P.; Seabloom E.W.; Foo J.; Macdougall A.S.; Harpole W.S.; Adler P.B.; Hautier Y.; Eisenhauer N.; Muraina T.O.; Spohn M.; Bakker J.D.; (…); Peri P.L.; et al. (2025) Dominant species predict plant richness and biomass in global grasslands. Nature Ecology & Evolution 9: 924-936. https://doi.org/10.1038/s41559-025-02701-y2397-334X (online)https://doi.org/10.1038/s41559-025-02701-yNature Ecology & Evolution 9 : 924-936. (May 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-16T09:32:21Zoai:localhost:20.500.12123/22720instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:32:21.75INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Dominant species predict plant richness and biomass in global grasslands |
title |
Dominant species predict plant richness and biomass in global grasslands |
spellingShingle |
Dominant species predict plant richness and biomass in global grasslands Zhang, Pengfei Pastures Biomass Dominant Species Abundance Pastizales Biomasa Especies Dominantes Abundancia Plant Richness Community Biomass Impacts of Environmental Changes Community Richness Riqueza Vegetal Biomasa Comunitaria Impactos de los Cambios Ambientales Riqueza de la Comunidad |
title_short |
Dominant species predict plant richness and biomass in global grasslands |
title_full |
Dominant species predict plant richness and biomass in global grasslands |
title_fullStr |
Dominant species predict plant richness and biomass in global grasslands |
title_full_unstemmed |
Dominant species predict plant richness and biomass in global grasslands |
title_sort |
Dominant species predict plant richness and biomass in global grasslands |
dc.creator.none.fl_str_mv |
Zhang, Pengfei Seabloom, Eric William Foo, Jasmine MacDougall, Andrew S. Harpole, William Stanley Adler, Peter B. Hautier, Yann Eisenhauer, Nico Spohn, Marie Bakker, Jonathan D. Peri, Pablo Luis Borer, Elizabeth T. |
author |
Zhang, Pengfei |
author_facet |
Zhang, Pengfei Seabloom, Eric William Foo, Jasmine MacDougall, Andrew S. Harpole, William Stanley Adler, Peter B. Hautier, Yann Eisenhauer, Nico Spohn, Marie Bakker, Jonathan D. Peri, Pablo Luis Borer, Elizabeth T. |
author_role |
author |
author2 |
Seabloom, Eric William Foo, Jasmine MacDougall, Andrew S. Harpole, William Stanley Adler, Peter B. Hautier, Yann Eisenhauer, Nico Spohn, Marie Bakker, Jonathan D. Peri, Pablo Luis Borer, Elizabeth T. |
author2_role |
author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Pastures Biomass Dominant Species Abundance Pastizales Biomasa Especies Dominantes Abundancia Plant Richness Community Biomass Impacts of Environmental Changes Community Richness Riqueza Vegetal Biomasa Comunitaria Impactos de los Cambios Ambientales Riqueza de la Comunidad |
topic |
Pastures Biomass Dominant Species Abundance Pastizales Biomasa Especies Dominantes Abundancia Plant Richness Community Biomass Impacts of Environmental Changes Community Richness Riqueza Vegetal Biomasa Comunitaria Impactos de los Cambios Ambientales Riqueza de la Comunidad |
dc.description.none.fl_txt_mv |
The bidirectional relationship between plant species richness and community biomass is often variable and poorly resolved in natural grassland ecosystems, impeding progress in predicting impacts of environmental changes. Most biological communities have long-tailed species abundance distributions (for example, biomass, cover, number of individuals), a general property that may provide predictive power for species richness and community biomass. Here we show mathematical relationships between community characteristics and the abundance of dominant species arising from long-tailed distributions and test these predictions using observational and experimental data from 76 grassland sites across 6 continents. We find that community biomass provides little predictive ability for community richness, consistent with previous findings. By contrast, the relative abundance of dominant species quantitatively predicts species richness, whereas their absolute abundance quantitatively predicts community biomass under both ambient and altered environmental conditions, as expected mathematically. These results are robust to the type of abundance measure used. Three types of simulated data further show the generality of these results. Our integrative framework, arising from a few dominant species and mathematical properties of species abundance distributions, fills a persistent gap in our ability to predict community richness and biomass under ambient and anthropogenically altered conditions. EEA Santa Cruz, INTA Fil: Zhang, Pengfei. Lanzhou University. College of Ecology. State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; China. Fil: Zhang, Pengfei. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos Fil: Seabloom, Eric William. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos Fil: Foo, Jasmine. University of Minnesota. School of Mathematics; Estados Unidos Fil: MacDougall, Andrew S. University of Guelph. Department of Integrative Biology; Canadá. Fil: Harpole, William Stanley. German Centre for Integrative Biodiversity Research (iDiv); Alemania Fil: Harpole, William Stanley. Helmholtz Centre for Environmental Research – UFZ. Department of Physiological Diversity; Alemania Fil: Harpole, William Stanley. Martin Luther University Halle-Wittenberg; Alemania Fil: Adler, Peter B. Utah State University. Department of Wildland Resources and the Ecology Center; Estaodos Unidos Fil: Hautier, Yann. Utrecht University. Department of Biology. Ecology and Biodiversity Group; Países Bajos Fil: Eisenhauer, Nico. German Centre for Integrative Biodiversity Research; Alemania Fil: Eisenhauer, Nico. Leipzig University. Institute of Biology; Alemania Fil: Spohn, Marie. Swedish University of Agricultural Sciences (SLU). Department of Soil and Environment; Suecia Fil: Bakker, Jonathan D. University of Washington. School of Environmental and Forest Sciences; Estados Unidos Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Borer, Elizabeth T. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos |
description |
The bidirectional relationship between plant species richness and community biomass is often variable and poorly resolved in natural grassland ecosystems, impeding progress in predicting impacts of environmental changes. Most biological communities have long-tailed species abundance distributions (for example, biomass, cover, number of individuals), a general property that may provide predictive power for species richness and community biomass. Here we show mathematical relationships between community characteristics and the abundance of dominant species arising from long-tailed distributions and test these predictions using observational and experimental data from 76 grassland sites across 6 continents. We find that community biomass provides little predictive ability for community richness, consistent with previous findings. By contrast, the relative abundance of dominant species quantitatively predicts species richness, whereas their absolute abundance quantitatively predicts community biomass under both ambient and altered environmental conditions, as expected mathematically. These results are robust to the type of abundance measure used. Three types of simulated data further show the generality of these results. Our integrative framework, arising from a few dominant species and mathematical properties of species abundance distributions, fills a persistent gap in our ability to predict community richness and biomass under ambient and anthropogenically altered conditions. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-06-19T10:11:47Z 2025-06-19T10:11:47Z 2025-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/22720 https://www.nature.com/articles/s41559-025-02701-y Zhang P.; Seabloom E.W.; Foo J.; Macdougall A.S.; Harpole W.S.; Adler P.B.; Hautier Y.; Eisenhauer N.; Muraina T.O.; Spohn M.; Bakker J.D.; (…); Peri P.L.; et al. (2025) Dominant species predict plant richness and biomass in global grasslands. Nature Ecology & Evolution 9: 924-936. https://doi.org/10.1038/s41559-025-02701-y 2397-334X (online) https://doi.org/10.1038/s41559-025-02701-y |
url |
http://hdl.handle.net/20.500.12123/22720 https://www.nature.com/articles/s41559-025-02701-y https://doi.org/10.1038/s41559-025-02701-y |
identifier_str_mv |
Zhang P.; Seabloom E.W.; Foo J.; Macdougall A.S.; Harpole W.S.; Adler P.B.; Hautier Y.; Eisenhauer N.; Muraina T.O.; Spohn M.; Bakker J.D.; (…); Peri P.L.; et al. (2025) Dominant species predict plant richness and biomass in global grasslands. Nature Ecology & Evolution 9: 924-936. https://doi.org/10.1038/s41559-025-02701-y 2397-334X (online) |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
restrictedAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
dc.source.none.fl_str_mv |
Nature Ecology & Evolution 9 : 924-936. (May 2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
collection |
INTA Digital (INTA) |
instname_str |
Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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12.712165 |