Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment
- Autores
- Núñez Regueiro, Mauricio M.; Fletcher, Robert J. (Junior); Pienaar, Elizabeth F.; Branch, Lyn C.; Volante, Jose Norberto; Rifai, Sami
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Payments for Ecosystem Services (PES) programs are increasingly emphasized to address challenges of conserving forests. However, concerns remain regarding the ability of PES programs to ensure long-term conservation of threatened lands. Evaluation of large-scale PES programs, including the spatial and temporal patterns of enrollment, is scarce, especially for programs that aim to protect forest from severe threats such as expansion of industrial agriculture. Using information on PES enrollment across 252,319 km2 in the Argentine Chaco, we examined both the duration for which lands are enrolled in PES and their suitability for agriculture. Specifically, we examined whether the PES program has resulted in adverse selection not only in space but also in time. We built spatially explicit generalized linear models using information on participants’ length of contract and the potential of their land for agricultural use. We found the PES program enrolled land in areas with high agricultural potential, but enrollment of these lands occurred for shorter time periods than lands with lower levels of threat from deforestation. Consequently, adverse selection occurred over time but not in space. Our work demonstrates the importance of evaluating both temporal and spatial dimensions of adverse selection in PES for informing policy.
EEA Salta
Fil: Núñez Regueiro, Mauricio M. University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos
Fil: Fletcher, Robert J. (Junior). University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos
Fil: Pienaar, Elizabeth F. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos. University of Pretoria. Mammal Research Institute; Sudáfrica
Fil: Branch, Lyn C. University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos
Fil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina
Fil: Rifai, Sami. University of Florida. School of Forest Resources and Conservation; Estados Undos. University of Oxford. Environmental Change Institute; Reino Unido - Fuente
- Ecosystem services 36 : 100906. (April 2019)
- Materia
-
Servicios de los Ecosistemas
Pago por Servicios Ecosistémicos
Conservación de Tierras
Ecosystem Services
Payments for Ecosystem Services
Land Conservation
Chaco - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/4881
Ver los metadatos del registro completo
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Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollmentNúñez Regueiro, Mauricio M.Fletcher, Robert J. (Junior)Pienaar, Elizabeth F.Branch, Lyn C.Volante, Jose NorbertoRifai, SamiServicios de los EcosistemasPago por Servicios EcosistémicosConservación de TierrasEcosystem ServicesPayments for Ecosystem ServicesLand ConservationChacoPayments for Ecosystem Services (PES) programs are increasingly emphasized to address challenges of conserving forests. However, concerns remain regarding the ability of PES programs to ensure long-term conservation of threatened lands. Evaluation of large-scale PES programs, including the spatial and temporal patterns of enrollment, is scarce, especially for programs that aim to protect forest from severe threats such as expansion of industrial agriculture. Using information on PES enrollment across 252,319 km2 in the Argentine Chaco, we examined both the duration for which lands are enrolled in PES and their suitability for agriculture. Specifically, we examined whether the PES program has resulted in adverse selection not only in space but also in time. We built spatially explicit generalized linear models using information on participants’ length of contract and the potential of their land for agricultural use. We found the PES program enrolled land in areas with high agricultural potential, but enrollment of these lands occurred for shorter time periods than lands with lower levels of threat from deforestation. Consequently, adverse selection occurred over time but not in space. Our work demonstrates the importance of evaluating both temporal and spatial dimensions of adverse selection in PES for informing policy.EEA SaltaFil: Núñez Regueiro, Mauricio M. University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados UnidosFil: Fletcher, Robert J. (Junior). University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados UnidosFil: Pienaar, Elizabeth F. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos. University of Pretoria. Mammal Research Institute; SudáfricaFil: Branch, Lyn C. University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados UnidosFil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; ArgentinaFil: Rifai, Sami. University of Florida. School of Forest Resources and Conservation; Estados Undos. University of Oxford. Environmental Change Institute; Reino UnidoElsevier2019-04-11T13:44:06Z2019-04-11T13:44:06Z2019-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/4881https://www.sciencedirect.com/science/article/pii/S2212041618300494?via%3Dihub2212-0416https://doi.org/10.1016/j.ecoser.2019.100906Ecosystem services 36 : 100906. (April 2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengChaco (province)info:eu-repo/semantics/restrictedAccess2025-09-29T13:44:37Zoai:localhost:20.500.12123/4881instacron: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 13:44:38.307INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
title |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
spellingShingle |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment Núñez Regueiro, Mauricio M. Servicios de los Ecosistemas Pago por Servicios Ecosistémicos Conservación de Tierras Ecosystem Services Payments for Ecosystem Services Land Conservation Chaco |
title_short |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
title_full |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
title_fullStr |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
title_full_unstemmed |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
title_sort |
Adding the temporal dimension to spatial patterns of payment for ecosystem services enrollment |
dc.creator.none.fl_str_mv |
Núñez Regueiro, Mauricio M. Fletcher, Robert J. (Junior) Pienaar, Elizabeth F. Branch, Lyn C. Volante, Jose Norberto Rifai, Sami |
author |
Núñez Regueiro, Mauricio M. |
author_facet |
Núñez Regueiro, Mauricio M. Fletcher, Robert J. (Junior) Pienaar, Elizabeth F. Branch, Lyn C. Volante, Jose Norberto Rifai, Sami |
author_role |
author |
author2 |
Fletcher, Robert J. (Junior) Pienaar, Elizabeth F. Branch, Lyn C. Volante, Jose Norberto Rifai, Sami |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Servicios de los Ecosistemas Pago por Servicios Ecosistémicos Conservación de Tierras Ecosystem Services Payments for Ecosystem Services Land Conservation Chaco |
topic |
Servicios de los Ecosistemas Pago por Servicios Ecosistémicos Conservación de Tierras Ecosystem Services Payments for Ecosystem Services Land Conservation Chaco |
dc.description.none.fl_txt_mv |
Payments for Ecosystem Services (PES) programs are increasingly emphasized to address challenges of conserving forests. However, concerns remain regarding the ability of PES programs to ensure long-term conservation of threatened lands. Evaluation of large-scale PES programs, including the spatial and temporal patterns of enrollment, is scarce, especially for programs that aim to protect forest from severe threats such as expansion of industrial agriculture. Using information on PES enrollment across 252,319 km2 in the Argentine Chaco, we examined both the duration for which lands are enrolled in PES and their suitability for agriculture. Specifically, we examined whether the PES program has resulted in adverse selection not only in space but also in time. We built spatially explicit generalized linear models using information on participants’ length of contract and the potential of their land for agricultural use. We found the PES program enrolled land in areas with high agricultural potential, but enrollment of these lands occurred for shorter time periods than lands with lower levels of threat from deforestation. Consequently, adverse selection occurred over time but not in space. Our work demonstrates the importance of evaluating both temporal and spatial dimensions of adverse selection in PES for informing policy. EEA Salta Fil: Núñez Regueiro, Mauricio M. University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos Fil: Fletcher, Robert J. (Junior). University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos Fil: Pienaar, Elizabeth F. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos. University of Pretoria. Mammal Research Institute; Sudáfrica Fil: Branch, Lyn C. University of Florida. School of Natural Resources and Environment; Estados Undos. University of Florida. Department of Wildlife Ecology and Conservation; Estados Unidos Fil: Volante, Jose Norberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina Fil: Rifai, Sami. University of Florida. School of Forest Resources and Conservation; Estados Undos. University of Oxford. Environmental Change Institute; Reino Unido |
description |
Payments for Ecosystem Services (PES) programs are increasingly emphasized to address challenges of conserving forests. However, concerns remain regarding the ability of PES programs to ensure long-term conservation of threatened lands. Evaluation of large-scale PES programs, including the spatial and temporal patterns of enrollment, is scarce, especially for programs that aim to protect forest from severe threats such as expansion of industrial agriculture. Using information on PES enrollment across 252,319 km2 in the Argentine Chaco, we examined both the duration for which lands are enrolled in PES and their suitability for agriculture. Specifically, we examined whether the PES program has resulted in adverse selection not only in space but also in time. We built spatially explicit generalized linear models using information on participants’ length of contract and the potential of their land for agricultural use. We found the PES program enrolled land in areas with high agricultural potential, but enrollment of these lands occurred for shorter time periods than lands with lower levels of threat from deforestation. Consequently, adverse selection occurred over time but not in space. Our work demonstrates the importance of evaluating both temporal and spatial dimensions of adverse selection in PES for informing policy. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-11T13:44:06Z 2019-04-11T13:44:06Z 2019-04 |
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/20.500.12123/4881 https://www.sciencedirect.com/science/article/pii/S2212041618300494?via%3Dihub 2212-0416 https://doi.org/10.1016/j.ecoser.2019.100906 |
url |
http://hdl.handle.net/20.500.12123/4881 https://www.sciencedirect.com/science/article/pii/S2212041618300494?via%3Dihub https://doi.org/10.1016/j.ecoser.2019.100906 |
identifier_str_mv |
2212-0416 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
eu_rights_str_mv |
restrictedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Chaco (province) |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
Ecosystem services 36 : 100906. (April 2019) 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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1844619132836773888 |
score |
12.559606 |