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Author:

Xue, Chenli (Xue, Chenli.) | Chen, Xinghua (Chen, Xinghua.) | Xue, Lirong (Xue, Lirong.) | Zhang, Huiqiong (Zhang, Huiqiong.) | Chen, Jianping (Chen, Jianping.) | Li, Dedong (Li, Dedong.)

Indexed by:

EI Scopus SCIE

Abstract:

Understanding the complex relationships of tradeoffs and synergies among ecosystem services (ESs) is essential to achieve a comprehensive, coordinated, and sustainable development for human well-being. However, the quantitative measurement for the properties and intensities within these relationships as well as the deeper exploration of its for-mation mechanism from a spatial-explicit perspective is still a challenge. In this study, a comprehensive and general methodology was developed to quantitatively illustrate the intensities of tradeoffs/synergies among pairwise ESs and explore the spatially heterogeneous relationships between these relations and several socio-ecological drivers, in-tegrating InVEST, geographical detector and multi-scale geographically weighted regression (MGWR) methods. The results indicated that (1) the properties and intensities of tradeoffs/synergies among various ESs varied greatly over space and presented significant clustered distribution patterns; (2) different relations between ESs were dominated by diverse drivers and the combined effects from multiple factors were stronger than any single one within this pro-cess. The tradeoffs/synergies between soil conservation and other ESs were mainly affected by geomorphological drivers including elevation and slope, while relations involved habitat quality could be attributed to vegetation and climate drivers such as precipitation and vegetation fractional cover. The relationships among ESs were more suscep-tible to topographic and anthropogenic drivers when concerning the carbon storage service; (3) compared to global ordinary least squares and local geographically weighted regression (GWR), the MGWR obtained better performance in explaining relationships between tradeoffs/synergies among ESs and potential drivers by operating different spatial scales. Accordingly, several spatially targeted ecological measures were proposed and recommended to reduce ESs tradeoffs and ultimately achieve better synergies. This research could enrich the methods in revealing the complex evolvement mechanism behind the tradeoffs/synergies among ESs and the proposed framework also provided a new perspective in the field of ESs tradeoffs/synergies studies and might be valuable guidance for other regions worldwide.

Keyword:

Synergy and tradeoff Socio-ecological drivers Ecosystem services (ESs) Geospatial modeling Multi-scale geographically weighted regression

Author Community:

  • [ 1 ] [Xue, Chenli]China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
  • [ 2 ] [Chen, Jianping]China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
  • [ 3 ] [Xue, Chenli]Beijing Inst Geol Mineral Resources Co Ltd, Beijing 100012, Peoples R China
  • [ 4 ] [Zhang, Huiqiong]Beijing Inst Geol Mineral Resources Co Ltd, Beijing 100012, Peoples R China
  • [ 5 ] [Li, Dedong]Beijing Inst Geol Mineral Resources Co Ltd, Beijing 100012, Peoples R China
  • [ 6 ] [Xue, Chenli]Beijing Key Lab Dev & Res Land Resources Informat, Beijing 100083, Peoples R China
  • [ 7 ] [Chen, Jianping]Beijing Key Lab Dev & Res Land Resources Informat, Beijing 100083, Peoples R China
  • [ 8 ] [Chen, Xinghua]Minist Nat Resources, Beijing 100812, Peoples R China
  • [ 9 ] [Xue, Lirong]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Xue, Chenli]China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China;;[Chen, Jianping]China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China;;[Xue, Chenli]Beijing Key Lab Dev & Res Land Resources Informat, Beijing 100083, Peoples R China;;[Chen, Jianping]Beijing Key Lab Dev & Res Land Resources Informat, Beijing 100083, Peoples R China;;

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Source :

SCIENCE OF THE TOTAL ENVIRONMENT

ISSN: 0048-9697

Year: 2023

Volume: 855

9 . 8 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count: 84

SCOPUS Cited Count: 95

ESI Highly Cited Papers on the List: 3 Unfold All

  • 2025-5
  • 2025-3
  • 2025-1

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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