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Investigating the compounding effects of environmental factors on ecosystem services relationships for the ecological conservation red line areas
  • Liyuan Zuo,
  • Jiangbo Gao
Liyuan Zuo
Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences

Corresponding Author:[email protected]

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Jiangbo Gao
Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences
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Abstract

Exploring the driving factors of ecosystem services (ESs) trade-offs/synergies is crucial for ecosystem management, especially in ecological conservation red line (ECRL) areas that maintain regional and national ecological security. Soil conservation (SC), water yield (WY) and carbon sequestration (CS) were simulated in the Beijing ECRL areas. Geographical weighted regression was used to explore the trade-offs/synergies, and the geographical detector was applied to quantitatively identify their driving factors. Results show that (1) the SC and CS show marked synergy which characterized more than 80% of each ECRL area; the proportion of the space area of trade-off and synergy between SC and WY, and WY and CS was roughly 3 to 7 and 4 to 6 in each ECRL area, respectively. (2) The synergy of the three pairs of ESs was most sensitive to terrain factors. The precipitation erodibility of soil and its necessity for vegetation make it a determinant of the trade-off between SC and CS; temperature was the determinant in the trade-off between WY and CS, with an explanatory power of 32.8%; potential evapotranspiration was best able to explain the spatial distribution of the trade-off between SC and WY. (3) The interaction between precipitation and other factors had the greatest explanatory power on the spatial relationship between SC and WY. Precipitation and relief amplitude are the main interactive factors respectively affecting the spatial trade-off and synergy between SC and CS. The trade-off and synergy between WY and CS were most sensitive to the interaction between climate factors and terrain factors.
08 Apr 2021Submitted to Land Degradation & Development
09 Apr 2021Submission Checks Completed
09 Apr 2021Assigned to Editor
15 Apr 2021Reviewer(s) Assigned
22 Apr 2021Review(s) Completed, Editorial Evaluation Pending
01 May 2021Editorial Decision: Revise Major
30 May 20211st Revision Received
04 Jun 2021Assigned to Editor
04 Jun 2021Submission Checks Completed
17 Jun 2021Review(s) Completed, Editorial Evaluation Pending
19 Jun 2021Editorial Decision: Revise Minor
01 Jul 20212nd Revision Received
01 Jul 2021Submission Checks Completed
01 Jul 2021Assigned to Editor
05 Jul 2021Review(s) Completed, Editorial Evaluation Pending
06 Jul 2021Editorial Decision: Revise Minor
28 Jul 20213rd Revision Received
28 Jul 2021Submission Checks Completed
28 Jul 2021Assigned to Editor
01 Aug 2021Review(s) Completed, Editorial Evaluation Pending
02 Aug 2021Editorial Decision: Accept
Oct 2021Published in Land Degradation & Development volume 32 issue 16 on pages 4609-4623. 10.1002/ldr.4059