|Table of Contents|

Ecosystem Service Trade-offs/Synergies and Projections in Qinling Mountains, China(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2024年第05期
Page:
584-594
Research Field:
环境与可持续发展
Publishing date:

Info

Title:
Ecosystem Service Trade-offs/Synergies and Projections in Qinling Mountains, China
Author(s):
WANG Li-xia1*;  PAN Fei-yan1;  ZHANG Jing2;  YANG Yun1;  LIU Zhao3
(1. School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China; 2. Real Estate Development Company, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an 710054, Shaanxi, China; 3. School of Water and Environment, Chang'an University, Xi'an 710054, Shaanxi, China)
Keywords:
ecosystem service;  net primary production;  soil conservation;  habitat quality;  trade-offs;  synergies;  CA-Markov model;  Qinling Mountains
PACS:
X171.1
DOI:
10.19814/j.jese.2024.03020
Abstract:
By identifying and evaluating the primary services provided by the ecosystem in Qinling Mountains, a deeper understanding of theories related to ecosystem services and sustainable development can be achieved, providing important guidance for regional ecological management. A multi-source dataset was utilized, coupling models including CASA, InVEST, RUSLE and CA-Markov, to simulate and predict the spatial and temporal distribution characteristics of dominant ecosystem services, including net primary productivity(NPP), soil conservation(SC)and habitat quality(HQ)in Qinling Mountains from 2004 to 2034; the trade-offs and synergies were identified from both static and dynamic perspectives using correlation coefficient methods. The results show that ① temporally, NPP and SC show a fluctuating upward trend, while HQ shows a fluctuating downward trend; spatially, all three ecosystem services exhibit higher values in the north and west, and lower values in the south and east, correlating well with vegetation growth conditions. ② From a static perspective, three ecosystem service pairs demonstrate significant synergies; however, from a dynamic perspective, the relationships between three ecosystem services are predominantly characterized by trade-offs; results differ when viewed from different perspectives. ③ The validation of spatiotemporal simulations indicates that the CA-Markov model is well-suited for this region. According to the predictions, high-value areas of three ecosystem services will continue to expand in the future, and trending towards optimization.

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Last Update: 2024-10-01