Artículo
Modeling the Role of Novel Ecosystems in Runoff and Soil Protection: Native and Non-native Subtropical Montane Forests
Fecha de publicación:
04/2024
Editorial:
Springer
Revista:
Water Resources Management
ISSN:
0920-4741
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
In recent decades, anthropogenic activities have led to the emergence of novel ecosystems. These are often dominated by non-native species, altering forest composition andfunctions. This study examines the impacts of land cover changes on runoff and erosionwithin a subtropical Andean watershed. It focuses on new forests dominated by differenttree species (native and non-native trees). Employing the Soil and Water Assessment Tool(SWAT), the research integrates thirty years of meteorological, topographic, and edaphicdata. It aims to model, quantify, and compare surface runoff and soil loss under two distinct land cover configurations observed in 1988 and 2017. The results indicate non-linearassociations: a 10% increase in forest coverage led to a 3% decrease in monthly streamflow and an 11% reduction in soil erosion. Runoff varies significantly between forestsdominated by native versus non-native species. Additionally, among non-native forests,those dominated by evergreen species have proven more effective in reducing runoff andsoil loss than deciduous forests used for livestock grazing. Understanding the impact ofland cover changes and novel ecosystems on water and soil regulation is crucial for informing management and conservation strategies.
Palabras clave:
ECOSYSTEM SERVICES
,
LAND COVER CHANGE
,
NON-NATIVE SPECIES
,
REFORESTATION
,
SWAT
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IER)
Articulos de INSTITUTO DE ECOLOGIA REGIONAL
Articulos de INSTITUTO DE ECOLOGIA REGIONAL
Citación
Jiménez, Yohana Gisell; Aráoz, Ezequiel; Modeling the Role of Novel Ecosystems in Runoff and Soil Protection: Native and Non-native Subtropical Montane Forests; Springer; Water Resources Management; 38; 10; 4-2024; 3837-3852
Compartir
Altmétricas