4.7 Article

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

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 311, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2022.114835

Keywords

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

Funding

  1. Strategic Priority Research Program of the Chinese Academy of Sciences, China [XDB40000000]
  2. Science and Technology Innovation Program of Shaanxi Academy of Forestry Sciences [SXLK 2021-0206]
  3. Major Basic Research Development Program of Shaanxi Province, China [2021ZDLSF05-02]
  4. Funding of Top Young talents of Ten Thousand talents Plan in China
  5. National Forestry and Grassland Administration, China [20201326015]

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A study assessed the carbon sequestration, water yield, and soil conservation in the Loess Plateau from 2000 to 2018. The results showed an increase in these ecosystem services during the study period. Precipitation was identified as the main driving factor for water yield, while vegetation index and slope played significant roles in carbon sequestration and soil conservation. The study highlighted the importance of land use in influencing the ecosystem services in different climatic zones.
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.

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