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resumen

Resumen
Cattle ranching has increased globally in the last decades, and although pasture expansion is well documented across different regions, there is little understanding of the intensity at which cattle operate in these areas. With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle [ver mas...]
dc.contributor.authorFernandez, Pedro David
dc.contributor.authorGärtner, Phillipp
dc.contributor.authorNasca, Jose Andres
dc.contributor.authorRojas, Tobias
dc.contributor.authorGasparri, Nestor Ignacio
dc.date.accessioned2022-12-06T19:18:17Z
dc.date.available2022-12-06T19:18:17Z
dc.date.issued2023-01-10
dc.identifier.issn0048-9697
dc.identifier.issn1879-1026 (online)
dc.identifier.otherhttps://doi.org/10.1016/j.scitotenv.2022.158390
dc.identifier.urihttp://hdl.handle.net/20.500.12123/13550
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0048969722054894
dc.description.abstractCattle ranching has increased globally in the last decades, and although pasture expansion is well documented across different regions, there is little understanding of the intensity at which cattle operate in these areas. With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle intensity. For this, we combined monthly silage area with land cover and climatic variables in a regression framework to understand cattle intensity metrics at regional and farm scales throughout 20 million hectares in the Dry Chaco. In addition, we explored the impact of using maize silage supplementation on productive and environmental metrics at the farm scale in a precipitation gradient. We validated our models using a spatially explicit database of cattle distribution. Our results highlight that silage bags are accurate mappable objects with Sentinel-2, which can contribute to the understanding of cattle density, and heifer and steer density in pasture contexts at farm and regional scales. Finally, our whole-farm simulations support the idea that incorporating silage supplementation in cattle ranching regional analyses conducts to significant differences on environmental or productive estimations, which should be considered. The amount of stored forage that is used in supplementation has strong implications for the performance of cattle ranching, but remains difficult to quantify at the regional level with remote sensing. Silage bag mapping is thus an opportunity to improve the overall understanding of livestock intensification and its productive and environmental impacts, particularly in highly seasonal rangelands. Following this metric could be a valuable indicator of the cattle ranching performance in terms of it resilience, production increase and impacts over natural ecosystems (related to Sustainable Development Goal 2-zero hunger and also in the 15-life on land).eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceScience of the Total Environment 855 : 158390 (10 January 2023)es_AR
dc.subjectAgricultural Plasticseng
dc.subjectPlásticos Agrícolas
dc.subjectGanado Bovino
dc.subjectCattleeng
dc.subjectSatellite Imageryeng
dc.subjectImágenes por Satélites
dc.subjectPastizales
dc.subjectPastureseng
dc.subject.otherCattle Ranching Intensificationeng
dc.subject.otherMachine Learning Object Detectioneng
dc.subject.otherOn Farm-Storagees_AR
dc.subject.otherStrategic Supplementationes_AR
dc.subject.otherSentinel-2
dc.titleBeyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensityes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenInstituto de Investigación Animal del Chaco Semiáridoes_AR
dc.description.filFil: Fernandez, Pedro David. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentinaes_AR
dc.description.filFil: Gärtner, Phillipp. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentinaes_AR
dc.description.filFil: Nasca, Jose Andres. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentinaes_AR
dc.description.filFil: Rojas, Tobias. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentinaes_AR
dc.description.filFil: Gasparri, Nestor Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ecología Regional; Argentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional; Argentinaes_AR
dc.subtypecientifico


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