Literature DB >> 35306366

Driving factors of ecosystem services and their spatiotemporal change assessment based on land use types in the Loess Plateau.

Xiaozhen Wang1, Jianzhao Wu1, Yulin Liu2, Xuying Hai1, Zhouping Shanguan3, Lei Deng4.   

Abstract

A clear understanding of the driving factors for different ecosystem services (ESs) is quite essential for sustainable ecosystem management. It is important to strengthen research in ESs and social sustainable development to identify the main driving factors of different ESs. This study assessed carbon sequestration (CS), water yield (WY) and soil conservation (SC) from 2000 to 2018 in the Loess Plateau using CASA (The Carnegie-AmesStanford Approach), InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) and RUSLE (Revised Universal Soil Loss Equation) models. The spatial heterogeneity, trade-offs and synergies and driving factors were explored in the whole Loess Plateau. The results showed that the WY, CS and SC had increased from 2000 to 2018. The spatial relationships between WY and SC, SC and CS, and WY and CS were mainly synergistic. Annual mean precipitation (MAP) was the dominant driving factor of WY, while normalized difference vegetation index (NDVI) and slope (SL) had the strongest explanatory power for CS and SC. The LU was the most critical factor affecting the ESs in the different climatic zones. These results could act as a reference for decision-makers on how to control various influencing factors of ESs to improve the local ecology under local conditions.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Carbon sequestration; Climate zone; Soil conservation; Vegetation restoration; Water yield

Year:  2022        PMID: 35306366     DOI: 10.1016/j.jenvman.2022.114835

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China.

Authors:  Chengjin He; Huaiyong Shao; Wei Xian
Journal:  Int J Environ Res Public Health       Date:  2022-07-14       Impact factor: 4.614

2.  Quantifying the Relationship between Land Use Intensity and Ecosystem Services' Value in the Hanjiang River Basin: A Case Study of the Hubei Section.

Authors:  Hui Yang; Liang Zheng; Ying Wang; Jiangfeng Li; Bowen Zhang; Yuzhe Bi
Journal:  Int J Environ Res Public Health       Date:  2022-09-02       Impact factor: 4.614

  2 in total

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