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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/167993
Ver los metadatos del registro completo
id |
CONICETDig_77a19fc15eac45a5572189040197dc28 |
---|---|
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 |
_version_ |
1844613256371503104 |
score |
13.070432 |