The scale dependency of spatial crop species diversity and its relation to temporal diversity
- Autores
- Aramburu Merlos, Fernando; Hijmans, Robert J.
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Increasing crop species diversity can enhance agricultural sustainability, but the scale dependency of the processes that shape diversity and of the effects of diversity on agroecosystems is insufficiently understood. We used 30 m spatial resolution crop classification data for the conterminous United States to analyze spatial and temporal crop species diversity and their relationship. We found that the US average temporal (crop rotation) diversity is 2.1 effective number of species and that a crop’s average temporal diversity is lowest for common crops. Spatial diversity monotonically increases with the size of the unit of observation, and it is most strongly associated with temporal diversity when measured for areas of 100 to 400 ha, which is the typical US farm size. The association between diversity in space and time weakens as data are aggregated over larger areas because of the increasing diversity among farms, but at intermediate aggregation levels (counties) it is possible to estimate temporal diversity and farm-scale spatial diversity from aggregated spatial crop diversity data if the effect of beta diversity is considered. For larger areas, the diversity among farms is usually much greater than the diversity within them, and this needs to be considered when analyzing large-area crop diversity data. US agriculture is dominated by a few major annual crops (maize, soybean, wheat) that are mostly grown on fields with a very low temporal diversity. To increase crop species diversity, currently minor crops would have to increase in area at the expense of these major crops.
EEA Balcarce
Fil: Aramburu Merlos, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina.
Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.
Fil: Hijmans, Robert. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. - Fuente
- Proceedings of the National Academy of Sciences of the United States of America (PNAS) 117 (42) 26176-26182. (2020)
- Materia
-
Cultivos
Diversidad de Especies
Agrobiodiversidad
Rotación de Cultivos
Análisis Espacial
Escala
Crops
Species Diversity
Agrobiodiversity
Crop Rotation
Spatial Analysis
Scale - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/12413
Ver los metadatos del registro completo
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The scale dependency of spatial crop species diversity and its relation to temporal diversityAramburu Merlos, FernandoHijmans, Robert J.CultivosDiversidad de EspeciesAgrobiodiversidadRotación de CultivosAnálisis EspacialEscalaCropsSpecies DiversityAgrobiodiversityCrop RotationSpatial AnalysisScaleIncreasing crop species diversity can enhance agricultural sustainability, but the scale dependency of the processes that shape diversity and of the effects of diversity on agroecosystems is insufficiently understood. We used 30 m spatial resolution crop classification data for the conterminous United States to analyze spatial and temporal crop species diversity and their relationship. We found that the US average temporal (crop rotation) diversity is 2.1 effective number of species and that a crop’s average temporal diversity is lowest for common crops. Spatial diversity monotonically increases with the size of the unit of observation, and it is most strongly associated with temporal diversity when measured for areas of 100 to 400 ha, which is the typical US farm size. The association between diversity in space and time weakens as data are aggregated over larger areas because of the increasing diversity among farms, but at intermediate aggregation levels (counties) it is possible to estimate temporal diversity and farm-scale spatial diversity from aggregated spatial crop diversity data if the effect of beta diversity is considered. For larger areas, the diversity among farms is usually much greater than the diversity within them, and this needs to be considered when analyzing large-area crop diversity data. US agriculture is dominated by a few major annual crops (maize, soybean, wheat) that are mostly grown on fields with a very low temporal diversity. To increase crop species diversity, currently minor crops would have to increase in area at the expense of these major crops.EEA BalcarceFil: Aramburu Merlos, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina.Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.Fil: Hijmans, Robert. University of California Davis. Department of Environmental Science and Policy; Estados Unidos.National Academy of Sciences2022-07-27T10:39:49Z2022-07-27T10:39:49Z2020-10-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/12413https://www.pnas.org/doi/10.1073/pnas.20117021171091-6490https://doi.org/10.1073/pnas.2011702117Proceedings of the National Academy of Sciences of the United States of America (PNAS) 117 (42) 26176-26182. (2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:49:28Zoai:localhost:20.500.12123/12413instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:49:28.492INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
title |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
spellingShingle |
The scale dependency of spatial crop species diversity and its relation to temporal diversity Aramburu Merlos, Fernando Cultivos Diversidad de Especies Agrobiodiversidad Rotación de Cultivos Análisis Espacial Escala Crops Species Diversity Agrobiodiversity Crop Rotation Spatial Analysis Scale |
title_short |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
title_full |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
title_fullStr |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
title_full_unstemmed |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
title_sort |
The scale dependency of spatial crop species diversity and its relation to temporal diversity |
dc.creator.none.fl_str_mv |
Aramburu Merlos, Fernando Hijmans, Robert J. |
author |
Aramburu Merlos, Fernando |
author_facet |
Aramburu Merlos, Fernando Hijmans, Robert J. |
author_role |
author |
author2 |
Hijmans, Robert J. |
author2_role |
author |
dc.subject.none.fl_str_mv |
Cultivos Diversidad de Especies Agrobiodiversidad Rotación de Cultivos Análisis Espacial Escala Crops Species Diversity Agrobiodiversity Crop Rotation Spatial Analysis Scale |
topic |
Cultivos Diversidad de Especies Agrobiodiversidad Rotación de Cultivos Análisis Espacial Escala Crops Species Diversity Agrobiodiversity Crop Rotation Spatial Analysis Scale |
dc.description.none.fl_txt_mv |
Increasing crop species diversity can enhance agricultural sustainability, but the scale dependency of the processes that shape diversity and of the effects of diversity on agroecosystems is insufficiently understood. We used 30 m spatial resolution crop classification data for the conterminous United States to analyze spatial and temporal crop species diversity and their relationship. We found that the US average temporal (crop rotation) diversity is 2.1 effective number of species and that a crop’s average temporal diversity is lowest for common crops. Spatial diversity monotonically increases with the size of the unit of observation, and it is most strongly associated with temporal diversity when measured for areas of 100 to 400 ha, which is the typical US farm size. The association between diversity in space and time weakens as data are aggregated over larger areas because of the increasing diversity among farms, but at intermediate aggregation levels (counties) it is possible to estimate temporal diversity and farm-scale spatial diversity from aggregated spatial crop diversity data if the effect of beta diversity is considered. For larger areas, the diversity among farms is usually much greater than the diversity within them, and this needs to be considered when analyzing large-area crop diversity data. US agriculture is dominated by a few major annual crops (maize, soybean, wheat) that are mostly grown on fields with a very low temporal diversity. To increase crop species diversity, currently minor crops would have to increase in area at the expense of these major crops. EEA Balcarce Fil: Aramburu Merlos, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Fil: Aramburu Merlos, Fernando. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. Fil: Hijmans, Robert. University of California Davis. Department of Environmental Science and Policy; Estados Unidos. |
description |
Increasing crop species diversity can enhance agricultural sustainability, but the scale dependency of the processes that shape diversity and of the effects of diversity on agroecosystems is insufficiently understood. We used 30 m spatial resolution crop classification data for the conterminous United States to analyze spatial and temporal crop species diversity and their relationship. We found that the US average temporal (crop rotation) diversity is 2.1 effective number of species and that a crop’s average temporal diversity is lowest for common crops. Spatial diversity monotonically increases with the size of the unit of observation, and it is most strongly associated with temporal diversity when measured for areas of 100 to 400 ha, which is the typical US farm size. The association between diversity in space and time weakens as data are aggregated over larger areas because of the increasing diversity among farms, but at intermediate aggregation levels (counties) it is possible to estimate temporal diversity and farm-scale spatial diversity from aggregated spatial crop diversity data if the effect of beta diversity is considered. For larger areas, the diversity among farms is usually much greater than the diversity within them, and this needs to be considered when analyzing large-area crop diversity data. US agriculture is dominated by a few major annual crops (maize, soybean, wheat) that are mostly grown on fields with a very low temporal diversity. To increase crop species diversity, currently minor crops would have to increase in area at the expense of these major crops. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-20 2022-07-27T10:39:49Z 2022-07-27T10:39:49Z |
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/20.500.12123/12413 https://www.pnas.org/doi/10.1073/pnas.2011702117 1091-6490 https://doi.org/10.1073/pnas.2011702117 |
url |
http://hdl.handle.net/20.500.12123/12413 https://www.pnas.org/doi/10.1073/pnas.2011702117 https://doi.org/10.1073/pnas.2011702117 |
identifier_str_mv |
1091-6490 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess 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 |
openAccess |
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 |
National Academy of Sciences |
publisher.none.fl_str_mv |
National Academy of Sciences |
dc.source.none.fl_str_mv |
Proceedings of the National Academy of Sciences of the United States of America (PNAS) 117 (42) 26176-26182. (2020) 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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12.623145 |