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Abstract
Future land use change in the São Francisco River Basin (SFRB) is critical to the future of regional climate and biodiversity, given the large heterogeneity among the four climate types within the basin. These changes in SFRB depend on the link between global and national factors due to its role as one of the world's major exporters of raw materials and national to local institutional, socioeconomic, and biophysical contexts. In this work, LuccME's spatially explicit land change distribution modeling framework is used, aiming to develop three models that balance global (e.g., GDP growth, population growth, per capita agricultural consumption, international trade policies, and climate conditions) and regional/ scene. Local factors (such as land use, agricultural structure, agricultural suitability, protected areas, distance from roads and other infrastructure projects), are consistent with the global structure Shared Socio-Economic Pathways (SSP) and Representative Concentration Pathways (RCP), namely: SSP1/RCP 1.9 (sustainable development scenario), SSP2/RCP 4.5 (moderate scenario) and SSP3/RCP 7.0 (high inequality scenario). Based on detailed biophysical, socioeconomic, and institutional factors for each region of the São Francisco River Basin, spatially explicit land use scenarios to 2050 were created, considering the following categories: agriculture, natural forest, rangeland, agriculture, rangeland, and forest. mosaic plantation. The results show that the performance of the developed model is satisfactory. The average spatial fitting index between observed data and simulated data in 2019 is 89.48%, the average fitting error percentage corresponding to omissions is 2.59%, and the commission error is approximately 2.16%. Regarding the projected scenarios, the results show that three classes, agriculture, pasture, and mosaic of agriculture and pasture will continue in the same direction (increasing), regardless of the scenario considered, differently to the class of natural forest and forest plantation, which will decrease in scenarios of the middle road and strong inequality, and sustainable development, respectively.
DOI
https://doi.org/10.31223/X5SX2M
Subjects
Civil and Environmental Engineering
Keywords
LuccME modeling framework, Model validation, Shared Socioeconomic Pathways.
Dates
Published: 2024-05-15 03:27
Last Updated: 2024-05-15 07:27
License
CC BY Attribution 4.0 International
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Data Availability (Reason not available):
ok.
Conflict of interest statement:
no.
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