Fecha/hora: 20/05/2024 14:42:19

Biblioteca(s): 	INIA Las Brujas.	
Fecha corriente: 	24/04/2024	
Fecha de la última actualización: 	24/04/2024	
Autoria: 	BALDASSINI, P.; CAMBA SANS, G.; ALCARAZ SEGURA, D.; CONDE, C.; PARUELO, J.	
Afiliación: 	PABLO BALDASSINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LART, IFEVA, Univ.Bs.As., CONICET, Fac.Agronomía, Bs.As., Argentina; Dpto. Métodos Cuantitativos y Sistemas Información, Fac.Agronomía, Univ.Bs.As., Argentina; GONZALO CAMBA SANS, LART, IFEVA, Univ.Bs.As., CONICET, Fac.Agronomía, Bs.As., Argentina; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac.Agronomía, Univ.Bs.As. Argentina.; DOMINGO ALCARAZ SEGURA, Ecolab, Andalusian Inter-University Institute for Earth System Research (IISTA-CEAMA), Universidad de Granada, Spain; Departamento de Botánica, Facultad de Ciencias, Universidad de Granada, Spain; CECILIA CONDE, Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LART, IFEVA, Univ.Bs.As., CONICET, Fac.Agronomía, Bs.As., Argentina; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac.Agronomía, Univ.Bs.As. Argentina.	
Título: 	Mapping cropping systems and their effects on ecosystem functioning and services in the Argentine Pampas.	
Año de publicación: 	2024	
Fuente/Imprenta: 	Agriculture, Ecosystems & Environment. 2024, Volume 369, 109027. https://doi.org/10.1016/j.agee.2024.109027	
ISSN: 	0167-8809	
DOI: 	10.1016/j.agee.2024.109027	
Idioma: 	Inglés	
Notas: 	Article history: Received 18 November 2023, Revised 21 March 2024, Accepted 8 April 2024, Available online 17 April 2024, Version of Record 17 April 2024. -- Corresponding author at: LART, IFEVA, Universidad de Buenos Aires, CONICET, Facultad de Agronomía, Buenos Aires, Argentina.
E-mail address: pbaldass@agro.uba.ar (P. Baldassini). --	
Contenido: 	ABSTRACT.- The agricultural expansion and intensification modify the structure and functioning of ecosystems, which alter their capacity to provide ecosystem services (ES). An adequate analysis of these changes requires an exhaustive characterization of land use and land cover. In the Rio de La Plata Grassland (RPG), most of these characterizations are limited in terms of spatial or conceptual resolution since they generally differentiate coarse classes, such as winter and summer crops instead of crop types, at more than 30&#8239;m. In this work, we propose to map crop types and cropping systems in one of the most productive agricultural areas of the RPG and assess their effects on ecosystem functioning and services. We combined remote sensing data based on optical and microwave sensors provided by Sentinel 1 and 2 satellites (10&#8239;m resolution) and used a Random Forest algorithm to map crop types and cropping systems. Also, we used Landsat 8 images to characterize changes in albedo, Land Surface Temperature (LST) and evapotranspiration (ET) to analyze the environmental impacts of agriculture. Furthermore, we used Sentinel 2 to estimate the Normalized Difference Vegetation Index (NDVI), a proxy of primary production, and the Ecosystem Services Supply Index (ESSI), a synoptic indicator that estimates provision and regulating ES related to water and carbon dynamics based on annual NDVI dynamics. We identified 14 crop types with an overall precision between 0.85 and 0.95. Winter crops were identified with a better precision than summer crops. Compared to native grasslands, the different cropping systems generated an increase in albedo and land surface temperature while evapotranspiration tended to be higher in systems that had more than one crop per year. The productivity (NDVI) and ecosystem services supply (ESSI) were the variables that showed the greatest variability. Schemes based on summer crops with cover crops and pastures would allow maintaining ecosystem functioning, which suggest the need to preserve and expand the area covered by production systems that keep the soil covered for much of the year. This work allowed us to evaluate the effect of cropping systems on ecosystem functioning and services supply, and provide information of interest for the future design, planning and implementation of sustainable productive development schemes. © 2024 Elsevier B.V. All rights reserved.	
Palabras-Clave: 	Agriculture; Crop types classification; Ecosystem functioning; Ecosystem services; Remote sensing.	
Categoría del tema: 	F01 Cultivo	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (103961-1) - PXI - AP - DD - Agriculture Ecosyst. Environment/2024 -  -  - DIS