{"title":"Ecosystem services and their drivers under different watershed- management patterns in the western Chinese Loess Plateau","authors":"Le Chen , Wei Wei , Bing Tong , Liding Chen","doi":"10.1016/j.ecolind.2025.113321","DOIUrl":null,"url":null,"abstract":"<div><div>Investigating ecosystem services (ESs) in fragile ecological regions is vital for optimizing land resource efficiency and guiding multi-objective decision-making. However, research on ESs and their drivers under various watershed-management patterns (WMPs) remains limited. To fill the gap, this study focuses on China’s western Loess Plateau, examining four typical WMPs—grassland restoration, terrace farming, forest restoration, and mixed-type watersheds—with six watersheds per pattern. Using multi-source data, we quantified land use and ESs, including soil conservation (SC), water yield (WY), and carbon sequestration (NPP). A projection pursuit regression model was employed assessed the impacts of four comprehensive factors (climate, topography, landscape, and vegetation cover) and 18 sub-factors on ESs, identifying key drivers in different WMPs. The results showed that (1) Land use distribution changes varying by elevation, slope, and aspect. (2) From 2010 to 2020, land use have significant trends of grassland converting to terraces, and both converting to forests. (3) ESs improved, with climate driving WY across all WMPs, while topography influences SC. NPP was controlled by climate in grassland and terraced watersheds, landscape in forests, and both in mixed watersheds. (4) Among sub-factors, NPP in grassland restoration was driven by grassland cover and SC by precipitation. In terrace farming and forest restoration, NPP was influenced by forests, terraces, and shrubs, while SC depended on slope. Precipitation drove WY across all WMPs. These findings highlight the need to prioritize modifiable factors—such as landscape, vegetation, and water management—in ecological restoration, providing key insights for improving efforts in fragile environments.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113321"},"PeriodicalIF":7.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25002523","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Investigating ecosystem services (ESs) in fragile ecological regions is vital for optimizing land resource efficiency and guiding multi-objective decision-making. However, research on ESs and their drivers under various watershed-management patterns (WMPs) remains limited. To fill the gap, this study focuses on China’s western Loess Plateau, examining four typical WMPs—grassland restoration, terrace farming, forest restoration, and mixed-type watersheds—with six watersheds per pattern. Using multi-source data, we quantified land use and ESs, including soil conservation (SC), water yield (WY), and carbon sequestration (NPP). A projection pursuit regression model was employed assessed the impacts of four comprehensive factors (climate, topography, landscape, and vegetation cover) and 18 sub-factors on ESs, identifying key drivers in different WMPs. The results showed that (1) Land use distribution changes varying by elevation, slope, and aspect. (2) From 2010 to 2020, land use have significant trends of grassland converting to terraces, and both converting to forests. (3) ESs improved, with climate driving WY across all WMPs, while topography influences SC. NPP was controlled by climate in grassland and terraced watersheds, landscape in forests, and both in mixed watersheds. (4) Among sub-factors, NPP in grassland restoration was driven by grassland cover and SC by precipitation. In terrace farming and forest restoration, NPP was influenced by forests, terraces, and shrubs, while SC depended on slope. Precipitation drove WY across all WMPs. These findings highlight the need to prioritize modifiable factors—such as landscape, vegetation, and water management—in ecological restoration, providing key insights for improving efforts in fragile environments.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.