Analysis of Susceptibility to Degradation of Water Ecosystem Services as a Tool for Land Use Planning: a Case Study in a Small Brazilian Watershed.

Autor: da Silva Anjinho, Phelipe1 phelipe.anjinho240@gmail.com, Takaku, Leonardo Yuri Ragio Barbara2, Barbosa, Carolina Cerqueira3, Periotto, Natalia Andricioli2, Hanai, Frederico Yuri2, Mauad, Frederico Fábio1
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Zdroj: Environmental Management. Dec2022, Vol. 70 Issue 6, p990-1003. 14p. 1 Color Photograph, 1 Diagram, 4 Charts, 1 Graph, 4 Maps.
Abstrakt: Mapping priority areas for environmental conservation and restoration is essential to informing policy formulation and decision-making. This study proposes a methodology based on multicriteria analysis and on-site assessment to develop environmental zoning that enhances the provision of water ecosystem services (WES) from Brazil's Água Quente River Basin. Integrated analysis of multiple criteria enabled identification of degrees of susceptibility to degradation, assessment of effects of land-use changes between 1990 and 2020, and validation of the study's methodology via field protocol. The results indicated that the spatial and temporal patterns of WES susceptibility to degradation varied little within the study area with the most critical levels occurring primarily in the Agua Quente's floodplain, where there are sandy textured soils and coverage with a low degree of soil protection. Zoning analysis designates 40% of the basin's area as consolidated use, 28% for environmental conservation, 19% as anthropic use, and 13% for environmental restoration. Field analysis indicates that the occurrence of degraded areas and pollution by solid waste and urban effluents are relevant factors that affect the basin's water resources. Linear regression analysis indicated a good fit between the data modeled by the multicriteria analysis and those observed on-site (R² = 0.6 p < 0.05). The study's method is effective and its structure can be used in other river basins, as its approach is simple and flexible and can be readily adjusted to fit the characteristics of the study site. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE
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