Temporal rarity is a better predictor of local extinction risk than spatial rarity

Autores
Wilfahrt, Peter A.; Asmus, Ashley L.; Seabloom, Eric; Henning, Jeremiah A.; Adler, Peter; Arnillas, Carlos A.; Bakker, Jonathan; Biederman, Lori; Brudvig, Lars A.; Cadotte, Marc W.; Daleo, Pedro; Eskelinen, Anu; Firn, Jennifer; Harpole, W. Stanley; Hautier, Yann; Kirkman, Kevin P.; Komatsu, Kimberly J.; Laungani, Ramesh; MacDougall, Andrew; McCulley, Rebecca L.; Moore, Joslin L.; Morgan, John W.; Mortensen, Brent; Ochoa Hueso, Raul; Ohlert, Timothy; Power, Sally A.; Price, Jodi; Risch, Anita C.; Schuetz, Martin; Shoemaker, Lauren; Stevens, Carly; Strauss, Alexander T.; Tognetti, Pedro Maximiliano; Virtanen, Risto; Borer, Elizabeth
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5–12 yr of data on 1,447 plant species from 49 grasslands on five continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk following experimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Last, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the long-term stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone.
Fil: Wilfahrt, Peter A.. University of Minnesota; Estados Unidos
Fil: Asmus, Ashley L.. University of Minnesota; Estados Unidos
Fil: Seabloom, Eric. University of Minnesota; Estados Unidos
Fil: Henning, Jeremiah A.. University of Minnesota; Estados Unidos
Fil: Adler, Peter. State University of Utah; Estados Unidos
Fil: Arnillas, Carlos A.. University of Toronto Scarborough; Canadá
Fil: Bakker, Jonathan. University of Washington; Estados Unidos
Fil: Biederman, Lori. University of Iowa; Estados Unidos
Fil: Brudvig, Lars A.. Michigan State University; Estados Unidos
Fil: Cadotte, Marc W.. University of Toronto Scarborough; Canadá
Fil: Daleo, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Eskelinen, Anu. German Centre for Integrative Biodiversity Research; Alemania
Fil: Firn, Jennifer. University of Queensland; Australia
Fil: Harpole, W. Stanley. German Centre for Integrative Biodiversity Research; Alemania. Helmholtz Centre for Environmental Research; Alemania. Martin Luther University Halle-Wittenberg; Alemania
Fil: Hautier, Yann. Utrecht University; Países Bajos
Fil: Kirkman, Kevin P.. University of KwaZulu-Natal; Sudáfrica
Fil: Komatsu, Kimberly J.. Smithsonian Environmental Research Center; Estados Unidos
Fil: Laungani, Ramesh. Doane University; Estados Unidos
Fil: MacDougall, Andrew. University of Guelph; Canadá
Fil: McCulley, Rebecca L.. University of Kentucky; Estados Unidos
Fil: Moore, Joslin L.. Monash University; Australia
Fil: Morgan, John W.. La Trobe University; Australia
Fil: Mortensen, Brent. Benedictine College; Estados Unidos
Fil: Ochoa Hueso, Raul. Universidad de Cádiz; España
Fil: Ohlert, Timothy. University of New Mexico; Estados Unidos
Fil: Power, Sally A.. University of Western Sydney; Australia
Fil: Price, Jodi. Charles Sturt University; Australia
Fil: Risch, Anita C.. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Schuetz, Martin. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Shoemaker, Lauren. University of Wyoming; Estados Unidos
Fil: Stevens, Carly. Lancaster University; Reino Unido
Fil: Strauss, Alexander T.. University of Minnesota; Estados Unidos. University of Georgia; Estados Unidos
Fil: Tognetti, Pedro Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Virtanen, Risto. University of Oulu; Finlandia
Fil: Borer, Elizabeth. University of Minnesota; Estados Unidos
Materia
CORE-TRANSIENT
EXTINCTION RISK
GRASSLANDS
HERBIVORES
NUTNET
NUTRIENTS
RARITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/167993

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oai_identifier_str oai:ri.conicet.gov.ar:11336/167993
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Temporal rarity is a better predictor of local extinction risk than spatial rarityWilfahrt, Peter A.Asmus, Ashley L.Seabloom, EricHenning, Jeremiah A.Adler, PeterArnillas, Carlos A.Bakker, JonathanBiederman, LoriBrudvig, Lars A.Cadotte, Marc W.Daleo, PedroEskelinen, AnuFirn, JenniferHarpole, W. StanleyHautier, YannKirkman, Kevin P.Komatsu, Kimberly J.Laungani, RameshMacDougall, AndrewMcCulley, Rebecca L.Moore, Joslin L.Morgan, John W.Mortensen, BrentOchoa Hueso, RaulOhlert, TimothyPower, Sally A.Price, JodiRisch, Anita C.Schuetz, MartinShoemaker, LaurenStevens, CarlyStrauss, Alexander T.Tognetti, Pedro MaximilianoVirtanen, RistoBorer, ElizabethCORE-TRANSIENTEXTINCTION RISKGRASSLANDSHERBIVORESNUTNETNUTRIENTSRARITYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5–12 yr of data on 1,447 plant species from 49 grasslands on five continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk following experimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Last, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the long-term stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone.Fil: Wilfahrt, Peter A.. University of Minnesota; Estados UnidosFil: Asmus, Ashley L.. University of Minnesota; Estados UnidosFil: Seabloom, Eric. University of Minnesota; Estados UnidosFil: Henning, Jeremiah A.. University of Minnesota; Estados UnidosFil: Adler, Peter. State University of Utah; Estados UnidosFil: Arnillas, Carlos A.. University of Toronto Scarborough; CanadáFil: Bakker, Jonathan. University of Washington; Estados UnidosFil: Biederman, Lori. University of Iowa; Estados UnidosFil: Brudvig, Lars A.. Michigan State University; Estados UnidosFil: Cadotte, Marc W.. University of Toronto Scarborough; CanadáFil: Daleo, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Eskelinen, Anu. German Centre for Integrative Biodiversity Research; AlemaniaFil: Firn, Jennifer. University of Queensland; AustraliaFil: Harpole, W. Stanley. German Centre for Integrative Biodiversity Research; Alemania. Helmholtz Centre for Environmental Research; Alemania. Martin Luther University Halle-Wittenberg; AlemaniaFil: Hautier, Yann. Utrecht University; Países BajosFil: Kirkman, Kevin P.. University of KwaZulu-Natal; SudáfricaFil: Komatsu, Kimberly J.. Smithsonian Environmental Research Center; Estados UnidosFil: Laungani, Ramesh. Doane University; Estados UnidosFil: MacDougall, Andrew. University of Guelph; CanadáFil: McCulley, Rebecca L.. University of Kentucky; Estados UnidosFil: Moore, Joslin L.. Monash University; AustraliaFil: Morgan, John W.. La Trobe University; AustraliaFil: Mortensen, Brent. Benedictine College; Estados UnidosFil: Ochoa Hueso, Raul. Universidad de Cádiz; EspañaFil: Ohlert, Timothy. University of New Mexico; Estados UnidosFil: Power, Sally A.. University of Western Sydney; AustraliaFil: Price, Jodi. Charles Sturt University; AustraliaFil: Risch, Anita C.. Swiss Federal Institute for Forest, Snow and Landscape Research; SuizaFil: Schuetz, Martin. Swiss Federal Institute for Forest, Snow and Landscape Research; SuizaFil: Shoemaker, Lauren. University of Wyoming; Estados UnidosFil: Stevens, Carly. Lancaster University; Reino UnidoFil: Strauss, Alexander T.. University of Minnesota; Estados Unidos. University of Georgia; Estados UnidosFil: Tognetti, Pedro Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Virtanen, Risto. University of Oulu; FinlandiaFil: Borer, Elizabeth. University of Minnesota; Estados UnidosEcological Society of America2021-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/167993Wilfahrt, Peter A.; Asmus, Ashley L.; Seabloom, Eric; Henning, Jeremiah A.; Adler, Peter; et al.; Temporal rarity is a better predictor of local extinction risk than spatial rarity; Ecological Society of America; Ecology; 102; 11; 11-2021; 1-130012-96581939-9170CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.3504info:eu-repo/semantics/altIdentifier/doi/10.1002/ecy.3504info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:42Zoai:ri.conicet.gov.ar:11336/167993instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:39:42.364CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Temporal rarity is a better predictor of local extinction risk than spatial rarity
title Temporal rarity is a better predictor of local extinction risk than spatial rarity
spellingShingle Temporal rarity is a better predictor of local extinction risk than spatial rarity
Wilfahrt, Peter A.
CORE-TRANSIENT
EXTINCTION RISK
GRASSLANDS
HERBIVORES
NUTNET
NUTRIENTS
RARITY
title_short Temporal rarity is a better predictor of local extinction risk than spatial rarity
title_full Temporal rarity is a better predictor of local extinction risk than spatial rarity
title_fullStr Temporal rarity is a better predictor of local extinction risk than spatial rarity
title_full_unstemmed Temporal rarity is a better predictor of local extinction risk than spatial rarity
title_sort Temporal rarity is a better predictor of local extinction risk than spatial rarity
dc.creator.none.fl_str_mv Wilfahrt, Peter A.
Asmus, Ashley L.
Seabloom, Eric
Henning, Jeremiah A.
Adler, Peter
Arnillas, Carlos A.
Bakker, Jonathan
Biederman, Lori
Brudvig, Lars A.
Cadotte, Marc W.
Daleo, Pedro
Eskelinen, Anu
Firn, Jennifer
Harpole, W. Stanley
Hautier, Yann
Kirkman, Kevin P.
Komatsu, Kimberly J.
Laungani, Ramesh
MacDougall, Andrew
McCulley, Rebecca L.
Moore, Joslin L.
Morgan, John W.
Mortensen, Brent
Ochoa Hueso, Raul
Ohlert, Timothy
Power, Sally A.
Price, Jodi
Risch, Anita C.
Schuetz, Martin
Shoemaker, Lauren
Stevens, Carly
Strauss, Alexander T.
Tognetti, Pedro Maximiliano
Virtanen, Risto
Borer, Elizabeth
author Wilfahrt, Peter A.
author_facet Wilfahrt, Peter A.
Asmus, Ashley L.
Seabloom, Eric
Henning, Jeremiah A.
Adler, Peter
Arnillas, Carlos A.
Bakker, Jonathan
Biederman, Lori
Brudvig, Lars A.
Cadotte, Marc W.
Daleo, Pedro
Eskelinen, Anu
Firn, Jennifer
Harpole, W. Stanley
Hautier, Yann
Kirkman, Kevin P.
Komatsu, Kimberly J.
Laungani, Ramesh
MacDougall, Andrew
McCulley, Rebecca L.
Moore, Joslin L.
Morgan, John W.
Mortensen, Brent
Ochoa Hueso, Raul
Ohlert, Timothy
Power, Sally A.
Price, Jodi
Risch, Anita C.
Schuetz, Martin
Shoemaker, Lauren
Stevens, Carly
Strauss, Alexander T.
Tognetti, Pedro Maximiliano
Virtanen, Risto
Borer, Elizabeth
author_role author
author2 Asmus, Ashley L.
Seabloom, Eric
Henning, Jeremiah A.
Adler, Peter
Arnillas, Carlos A.
Bakker, Jonathan
Biederman, Lori
Brudvig, Lars A.
Cadotte, Marc W.
Daleo, Pedro
Eskelinen, Anu
Firn, Jennifer
Harpole, W. Stanley
Hautier, Yann
Kirkman, Kevin P.
Komatsu, Kimberly J.
Laungani, Ramesh
MacDougall, Andrew
McCulley, Rebecca L.
Moore, Joslin L.
Morgan, John W.
Mortensen, Brent
Ochoa Hueso, Raul
Ohlert, Timothy
Power, Sally A.
Price, Jodi
Risch, Anita C.
Schuetz, Martin
Shoemaker, Lauren
Stevens, Carly
Strauss, Alexander T.
Tognetti, Pedro Maximiliano
Virtanen, Risto
Borer, Elizabeth
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CORE-TRANSIENT
EXTINCTION RISK
GRASSLANDS
HERBIVORES
NUTNET
NUTRIENTS
RARITY
topic CORE-TRANSIENT
EXTINCTION RISK
GRASSLANDS
HERBIVORES
NUTNET
NUTRIENTS
RARITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5–12 yr of data on 1,447 plant species from 49 grasslands on five continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk following experimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Last, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the long-term stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone.
Fil: Wilfahrt, Peter A.. University of Minnesota; Estados Unidos
Fil: Asmus, Ashley L.. University of Minnesota; Estados Unidos
Fil: Seabloom, Eric. University of Minnesota; Estados Unidos
Fil: Henning, Jeremiah A.. University of Minnesota; Estados Unidos
Fil: Adler, Peter. State University of Utah; Estados Unidos
Fil: Arnillas, Carlos A.. University of Toronto Scarborough; Canadá
Fil: Bakker, Jonathan. University of Washington; Estados Unidos
Fil: Biederman, Lori. University of Iowa; Estados Unidos
Fil: Brudvig, Lars A.. Michigan State University; Estados Unidos
Fil: Cadotte, Marc W.. University of Toronto Scarborough; Canadá
Fil: Daleo, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Eskelinen, Anu. German Centre for Integrative Biodiversity Research; Alemania
Fil: Firn, Jennifer. University of Queensland; Australia
Fil: Harpole, W. Stanley. German Centre for Integrative Biodiversity Research; Alemania. Helmholtz Centre for Environmental Research; Alemania. Martin Luther University Halle-Wittenberg; Alemania
Fil: Hautier, Yann. Utrecht University; Países Bajos
Fil: Kirkman, Kevin P.. University of KwaZulu-Natal; Sudáfrica
Fil: Komatsu, Kimberly J.. Smithsonian Environmental Research Center; Estados Unidos
Fil: Laungani, Ramesh. Doane University; Estados Unidos
Fil: MacDougall, Andrew. University of Guelph; Canadá
Fil: McCulley, Rebecca L.. University of Kentucky; Estados Unidos
Fil: Moore, Joslin L.. Monash University; Australia
Fil: Morgan, John W.. La Trobe University; Australia
Fil: Mortensen, Brent. Benedictine College; Estados Unidos
Fil: Ochoa Hueso, Raul. Universidad de Cádiz; España
Fil: Ohlert, Timothy. University of New Mexico; Estados Unidos
Fil: Power, Sally A.. University of Western Sydney; Australia
Fil: Price, Jodi. Charles Sturt University; Australia
Fil: Risch, Anita C.. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Schuetz, Martin. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza
Fil: Shoemaker, Lauren. University of Wyoming; Estados Unidos
Fil: Stevens, Carly. Lancaster University; Reino Unido
Fil: Strauss, Alexander T.. University of Minnesota; Estados Unidos. University of Georgia; Estados Unidos
Fil: Tognetti, Pedro Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Virtanen, Risto. University of Oulu; Finlandia
Fil: Borer, Elizabeth. University of Minnesota; Estados Unidos
description Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5–12 yr of data on 1,447 plant species from 49 grasslands on five continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk following experimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Last, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the long-term stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone.
publishDate 2021
dc.date.none.fl_str_mv 2021-11
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/11336/167993
Wilfahrt, Peter A.; Asmus, Ashley L.; Seabloom, Eric; Henning, Jeremiah A.; Adler, Peter; et al.; Temporal rarity is a better predictor of local extinction risk than spatial rarity; Ecological Society of America; Ecology; 102; 11; 11-2021; 1-13
0012-9658
1939-9170
CONICET Digital
CONICET
url http://hdl.handle.net/11336/167993
identifier_str_mv Wilfahrt, Peter A.; Asmus, Ashley L.; Seabloom, Eric; Henning, Jeremiah A.; Adler, Peter; et al.; Temporal rarity is a better predictor of local extinction risk than spatial rarity; Ecological Society of America; Ecology; 102; 11; 11-2021; 1-13
0012-9658
1939-9170
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.3504
info:eu-repo/semantics/altIdentifier/doi/10.1002/ecy.3504
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Ecological Society of America
publisher.none.fl_str_mv Ecological Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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