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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/17704
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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 |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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