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dc.contributor.author
Antonio Marcelo, Aoki
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dc.contributor.author
Robledo, José Ignacio
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dc.contributor.author
Izaurralde, Roberto C.
dc.contributor.author
Balzarini, Monica Graciela
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dc.date.available
2022-07-15T14:16:00Z
dc.date.issued
2021-07
dc.identifier.citation
Antonio Marcelo, Aoki; Robledo, José Ignacio; Izaurralde, Roberto C.; Balzarini, Monica Graciela; Temporal integration of remote-sensing land cover maps to identify crop rotation patterns in a semiarid region of Argentina; American Society of Agronomy; Agronomy Journal; 113; 4; 7-2021; 3232-3243
dc.identifier.issn
0002-1962
dc.identifier.uri
http://hdl.handle.net/11336/162191
dc.description.abstract
Crop rotations are key agronomic tools to enhance farm productivity, preserve soil, and ensure provision of ecosystem services. Knowledge of the spatio-temporal distribution of crops over regions is essential to characterize rotations at field scale and estimate their impacts on several outcomes. Our objectives were to: (a) determine the diversity of cropping systems practiced in a semiarid region of central Argentina during an 8-yr period and (b) use the generated high-resolution crop rotation map jointly with estimates of soil erosion to evaluate the potential linkage between cropping sequences and water erosion intensity. Temporally aggregated seasonal land-cover maps were used to derive spatially explicit crop rotations during 2011–2018 across a 6,000 km2 semiarid agricultural region in Argentina. Soybean (Sy) [Glycine max (L.) Merr.] and maize (Mz) (Zea mays L.) defined the major crop rotations of the study area. Sorghum [Sorghum bicolor (L.) Moench] and peanut (Arachis hypogaea L.) occupied minor areas and thus were assimilated into the dominant summer cropping systems. Only seven sequences of summer crops, most of them including soybean and maize, accounted for >90% of the spatio-temporal variability. Soybean monoculture was the dominant cropping system (28.5%), followed by a 3-yr Sy–Sy–Mz rotation (23.9%), and other soybean-dominated rotation patterns. In winter, the prevailing land cover was stubble (96.6%). The generated high-resolution maps illustrate the low diversity of crops in the study area. Mapping the spatio-temporal distribution of land cover allowed for quantification of land transformations and the examination of linkages between soybean monocropping and erosion.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Society of Agronomy
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CROP ROTATIONS
dc.subject
EROSION
dc.subject
SOIL
dc.subject.classification
Agricultura
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dc.subject.classification
Agricultura, Silvicultura y Pesca
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Temporal integration of remote-sensing land cover maps to identify crop rotation patterns in a semiarid region of Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-03-09T22:11:05Z
dc.journal.volume
113
dc.journal.number
4
dc.journal.pagination
3232-3243
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Antonio Marcelo, Aoki. Universidad Nacional de Córdoba; Argentina
dc.description.fil
Fil: Robledo, José Ignacio. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.description.fil
Fil: Izaurralde, Roberto C.. University of Maryland; Estados Unidos
dc.description.fil
Fil: Balzarini, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
dc.journal.title
Agronomy Journal
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/agj2.20758
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