Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes

Autores
Nasta, Lautaro L.; Leva, Paula Edit; Premoli, Andrea Cecilia; Aguiar, Martín Roberto
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Sexual reproduction, growth, and survival are crucial demographic strategies for plant population viability. Here, we propose a conceptual model predicting demographic responses of species based on their ecological strategy and the heterogeneity of envi-ronmental conditions within a biogeographical unit and then applied it to a case study from a 5 ̊ latitudinal gradient in the Patagonian steppes. We also aim to disentangle genetic from environmental effects on demographic responses. We performed in situ and common garden experiments with two species from six local populations of the Occidental Phytogeographical District of the Patagonian steppes. Species differ in key ecological traits, and thus fit into Grime’s model for evolutionary strategies in plants: one as competitive species and the other as stress-tolerant species. We calculated popu-lation growth rate (λ) and performed elasticity analyses to compare the contribution of each demographic strategy to population fitness between species and among local populations distributed along 600 km latitudinal gradient with differences in mean annual precipitation (MAP). We highlight four results. First, the competitive species change from sexual reproduction to growth as MAP increases. Second, the stress-toler-ant species relied on growth and survival along the MAP gradient. Third, interannual variation in resource availability modulated demographic responses for both strategies. Fourth, based on the comparison of the in situ and common garden experiments, we submit that demographic responses were genetically driven. Our study shows that demographic responses can be roughly predicted by the ecological strategy across envi-ronmental gradients. We show that differences arise not only between species, but also were genetically driven differences within species among local populations. Scaling up plant-level responses to population-level dynamics allows for a process-based under-standing of current and future biogeographical species organization. Furthermore, conservation and restoration efforts should be guided by demographic strategies underlying population viability.
Instituto de Floricultura
Fil: Nasta, Lautaro L. 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: Leva, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Floricultura; Argentina
Fil: Premoli, Andrea C. Universidad Nacional del Comahue. Centro Regional Bariloche. Instituto de Investigación de Biodiversidad y Medioambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de Biodiversidad y Medioambiente; Argentina.
Fil: Aguiar, Martín R. 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
Fuente
Oikos : e10203. (First published: 15 April 2024)
Materia
Sexual Reproduction
Biotic Stress
Abiotic Stress
Models
Reproducción Sexual
Estrés Biótico
Estrés Abiótico
Modelos
Región Patagónica
Estrategias Ecológicas
Análisis de Elasticidad
Ecological Strategies
Elasticity Analysis
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/17704

id INTADig_fc3df19ec64ab4c8d4bcce3821212618
oai_identifier_str oai:localhost:20.500.12123/17704
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppesNasta, Lautaro L.Leva, Paula EditPremoli, Andrea CeciliaAguiar, Martín RobertoSexual ReproductionBiotic StressAbiotic StressModelsReproducción SexualEstrés BióticoEstrés AbióticoModelosRegión PatagónicaEstrategias EcológicasAnálisis de ElasticidadEcological StrategiesElasticity AnalysisSexual reproduction, growth, and survival are crucial demographic strategies for plant population viability. Here, we propose a conceptual model predicting demographic responses of species based on their ecological strategy and the heterogeneity of envi-ronmental conditions within a biogeographical unit and then applied it to a case study from a 5 ̊ latitudinal gradient in the Patagonian steppes. We also aim to disentangle genetic from environmental effects on demographic responses. We performed in situ and common garden experiments with two species from six local populations of the Occidental Phytogeographical District of the Patagonian steppes. Species differ in key ecological traits, and thus fit into Grime’s model for evolutionary strategies in plants: one as competitive species and the other as stress-tolerant species. We calculated popu-lation growth rate (λ) and performed elasticity analyses to compare the contribution of each demographic strategy to population fitness between species and among local populations distributed along 600 km latitudinal gradient with differences in mean annual precipitation (MAP). We highlight four results. First, the competitive species change from sexual reproduction to growth as MAP increases. Second, the stress-toler-ant species relied on growth and survival along the MAP gradient. Third, interannual variation in resource availability modulated demographic responses for both strategies. Fourth, based on the comparison of the in situ and common garden experiments, we submit that demographic responses were genetically driven. Our study shows that demographic responses can be roughly predicted by the ecological strategy across envi-ronmental gradients. We show that differences arise not only between species, but also were genetically driven differences within species among local populations. Scaling up plant-level responses to population-level dynamics allows for a process-based under-standing of current and future biogeographical species organization. Furthermore, conservation and restoration efforts should be guided by demographic strategies underlying population viability.Instituto de FloriculturaFil: Nasta, Lautaro L. 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: Leva, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Floricultura; ArgentinaFil: Premoli, Andrea C. Universidad Nacional del Comahue. Centro Regional Bariloche. Instituto de Investigación de Biodiversidad y Medioambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de Biodiversidad y Medioambiente; Argentina.Fil: Aguiar, Martín R. 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; ArgentinaWiley2024-05-13T10:03:06Z2024-05-13T10:03:06Z2024-04-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/17704https://nsojournals.onlinelibrary.wiley.com/doi/10.1111/oik.102031600-07060030-1299https://doi.org/10.1111/oik.10203Oikos : e10203. (First published: 15 April 2024)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)2025-09-29T13:46:31Zoai:localhost:20.500.12123/17704instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:46:32.118INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
title Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
spellingShingle Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
Nasta, Lautaro L.
Sexual Reproduction
Biotic Stress
Abiotic Stress
Models
Reproducción Sexual
Estrés Biótico
Estrés Abiótico
Modelos
Región Patagónica
Estrategias Ecológicas
Análisis de Elasticidad
Ecological Strategies
Elasticity Analysis
title_short Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
title_full Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
title_fullStr Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
title_full_unstemmed Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
title_sort Extending Grime’s CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes
dc.creator.none.fl_str_mv Nasta, Lautaro L.
Leva, Paula Edit
Premoli, Andrea Cecilia
Aguiar, Martín Roberto
author Nasta, Lautaro L.
author_facet Nasta, Lautaro L.
Leva, Paula Edit
Premoli, Andrea Cecilia
Aguiar, Martín Roberto
author_role author
author2 Leva, Paula Edit
Premoli, Andrea Cecilia
Aguiar, Martín Roberto
author2_role author
author
author
dc.subject.none.fl_str_mv Sexual Reproduction
Biotic Stress
Abiotic Stress
Models
Reproducción Sexual
Estrés Biótico
Estrés Abiótico
Modelos
Región Patagónica
Estrategias Ecológicas
Análisis de Elasticidad
Ecological Strategies
Elasticity Analysis
topic Sexual Reproduction
Biotic Stress
Abiotic Stress
Models
Reproducción Sexual
Estrés Biótico
Estrés Abiótico
Modelos
Región Patagónica
Estrategias Ecológicas
Análisis de Elasticidad
Ecological Strategies
Elasticity Analysis
dc.description.none.fl_txt_mv Sexual reproduction, growth, and survival are crucial demographic strategies for plant population viability. Here, we propose a conceptual model predicting demographic responses of species based on their ecological strategy and the heterogeneity of envi-ronmental conditions within a biogeographical unit and then applied it to a case study from a 5 ̊ latitudinal gradient in the Patagonian steppes. We also aim to disentangle genetic from environmental effects on demographic responses. We performed in situ and common garden experiments with two species from six local populations of the Occidental Phytogeographical District of the Patagonian steppes. Species differ in key ecological traits, and thus fit into Grime’s model for evolutionary strategies in plants: one as competitive species and the other as stress-tolerant species. We calculated popu-lation growth rate (λ) and performed elasticity analyses to compare the contribution of each demographic strategy to population fitness between species and among local populations distributed along 600 km latitudinal gradient with differences in mean annual precipitation (MAP). We highlight four results. First, the competitive species change from sexual reproduction to growth as MAP increases. Second, the stress-toler-ant species relied on growth and survival along the MAP gradient. Third, interannual variation in resource availability modulated demographic responses for both strategies. Fourth, based on the comparison of the in situ and common garden experiments, we submit that demographic responses were genetically driven. Our study shows that demographic responses can be roughly predicted by the ecological strategy across envi-ronmental gradients. We show that differences arise not only between species, but also were genetically driven differences within species among local populations. Scaling up plant-level responses to population-level dynamics allows for a process-based under-standing of current and future biogeographical species organization. Furthermore, conservation and restoration efforts should be guided by demographic strategies underlying population viability.
Instituto de Floricultura
Fil: Nasta, Lautaro L. 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: Leva, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Floricultura; Argentina
Fil: Premoli, Andrea C. Universidad Nacional del Comahue. Centro Regional Bariloche. Instituto de Investigación de Biodiversidad y Medioambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de Biodiversidad y Medioambiente; Argentina.
Fil: Aguiar, Martín R. 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
description Sexual reproduction, growth, and survival are crucial demographic strategies for plant population viability. Here, we propose a conceptual model predicting demographic responses of species based on their ecological strategy and the heterogeneity of envi-ronmental conditions within a biogeographical unit and then applied it to a case study from a 5 ̊ latitudinal gradient in the Patagonian steppes. We also aim to disentangle genetic from environmental effects on demographic responses. We performed in situ and common garden experiments with two species from six local populations of the Occidental Phytogeographical District of the Patagonian steppes. Species differ in key ecological traits, and thus fit into Grime’s model for evolutionary strategies in plants: one as competitive species and the other as stress-tolerant species. We calculated popu-lation growth rate (λ) and performed elasticity analyses to compare the contribution of each demographic strategy to population fitness between species and among local populations distributed along 600 km latitudinal gradient with differences in mean annual precipitation (MAP). We highlight four results. First, the competitive species change from sexual reproduction to growth as MAP increases. Second, the stress-toler-ant species relied on growth and survival along the MAP gradient. Third, interannual variation in resource availability modulated demographic responses for both strategies. Fourth, based on the comparison of the in situ and common garden experiments, we submit that demographic responses were genetically driven. Our study shows that demographic responses can be roughly predicted by the ecological strategy across envi-ronmental gradients. We show that differences arise not only between species, but also were genetically driven differences within species among local populations. Scaling up plant-level responses to population-level dynamics allows for a process-based under-standing of current and future biogeographical species organization. Furthermore, conservation and restoration efforts should be guided by demographic strategies underlying population viability.
publishDate 2024
dc.date.none.fl_str_mv 2024-05-13T10:03:06Z
2024-05-13T10:03:06Z
2024-04-15
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/20.500.12123/17704
https://nsojournals.onlinelibrary.wiley.com/doi/10.1111/oik.10203
1600-0706
0030-1299
https://doi.org/10.1111/oik.10203
url http://hdl.handle.net/20.500.12123/17704
https://nsojournals.onlinelibrary.wiley.com/doi/10.1111/oik.10203
https://doi.org/10.1111/oik.10203
identifier_str_mv 1600-0706
0030-1299
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 Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Oikos : e10203. (First published: 15 April 2024)
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
_version_ 1844619188001308672
score 12.559606