Título : Projected land-cover changes and their consequences on the supply of Ecosystem Services in Uruguay
Autor(es) : Gallego, Federico
Paruelo, José M.
Fecha de publicación : 1-feb-2023
Tipo de publicación: Preprint
Areas del conocimiento : Ciencias Naturales y Exactas
Ciencias de la Tierra y relacionadas con el Medio Ambiente
Otros descriptores : Ecosystem Service Supply Index
Grasslands
Markovian models
NDVI
Territorial planning
Resumen : Grasslands are one of the most human-modified biomes in the world due to the expansion of croplands and afforestation. In the scenario of productive intensification, it is necessary to generate alternatives to model land-cover changes and their environmental consequences. The objective of this study was to generate land-cover projections and quantify the future impact of these dynamics on the supply of ecosystem services in Uruguay. For that, land-cover maps, Markov-chains models, and an index of the supply of ecosystem services (ESSI) were utilized. Based on the land-cover maps, transitions probabilities between classes for two time periods (2000–2010 and 2010-2019) were calculated, and two Markovian-chain models were performed. With the projected land-cover maps, spatial models were used to relate the proportion of croplands and grasslands with the ESSI. The results indicate a continuous increase of croplands and afforestation for the next decade. Grasslands will remain the most abundant land-cover, reaching 46% in 2037. The highest probability of persistence was, in both periods, for grasslands, while the probability of persistence increased by 60 and 13% for croplands and afforestation, respectively. The ESSI shows a 5% of decrease between 2000-2037. These findings provide important empirical evidence for territorial planning and sustainable management.
URI / Handle: https://hdl.handle.net/20.500.12381/3186
Institución responsable del proyecto: Universidad de la República. Facultad de Ciencias
Financiadores: Agencia Nacional de Investigación e Innovación
Identificador ANII: FMV_3_2020_1_162279
Nivel de Acceso: Acceso abierto
Licencia CC: Reconocimiento 4.0 Internacional. (CC BY)
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