Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity.
Autor: | David FP; Instituto de Investigación Animal del Chaco Semiárido, Instituto Nacional de Tecnología Agropecuaria, Chañar Pozo S/N, Leales 4113, Tucumán, Argentina. Electronic address: fernandez.pedrodavid@inta.gob.ar., Phillipp G; Instituto de Ecología Regional, CONICET, Universidad Nacional de Tucumán, Casilla de Correo 34, 4107 Yerba Buena, Tucumán, Argentina., Andrés NJ; Instituto de Investigación Animal del Chaco Semiárido, Instituto Nacional de Tecnología Agropecuaria, Chañar Pozo S/N, Leales 4113, Tucumán, Argentina., Tobias R; Instituto de Ecología Regional, CONICET, Universidad Nacional de Tucumán, Casilla de Correo 34, 4107 Yerba Buena, Tucumán, Argentina., Ignacio GN; Instituto de Ecología Regional, CONICET, Universidad Nacional de Tucumán, Casilla de Correo 34, 4107 Yerba Buena, Tucumán, Argentina. |
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Jazyk: | angličtina |
Zdroj: | The Science of the total environment [Sci Total Environ] 2023 Jan 10; Vol. 855, pp. 158390. Date of Electronic Publication: 2022 Aug 29. |
DOI: | 10.1016/j.scitotenv.2022.158390 |
Abstrakt: | 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 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). Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2022 Elsevier B.V. All rights reserved.) |
Databáze: | MEDLINE |
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