
Analysis of trade-offs, synergies, and driving factors of ecosystem services in Baishanzu National Park
WANG Chaorui, ZHONG Jiahui, WANG Zeng, LIU Wei, ZHANG Yong, HU Zhaogui, WANG Dan, LIU Shenglong, LIN Jie
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2025, Vol. 49 ›› Issue (5) : 249-257.
Analysis of trade-offs, synergies, and driving factors of ecosystem services in Baishanzu National Park
【Objective】This study explores the trade-offs, synergies, and driving factors among the ecosystem services in Baishanzu National Park, providing support for formulating scientific ecological protection and management strategies.【Method】We quantified four ecosystem services-vegetation net primary productivity (NPP), soil conservation (SC), habitat quality (HQ), and water yield (WY)-in Baishanzu National Park from 2000 to 2020 by using the InVEST and the CASA models. Spearman correlation and geographically weighted regression (GWR) were used to analyze the relationships of trade-offs and synergies among ecosystem services, while the random forest modeling was used to explore the dominant drivers and marginal effects.【Result】From 2000 to 2020, the NPP in Baishanzu National Park nature reserve increased, the HQ declined slightly, and the SC and the WY decreased initially before rising. Spatially, the NPP, the SC, and the WY exhibited similar patterns with high values in central/northwestern regions, whereas the HQ peaked in central/northern areas. The increase in temperature had a significant impact on the relationship between the HQ and the NPP, while precipitation, elevation, and slope had a significant impact on the relationship between the SC and the WY.【Conclusion】The four ecosystem services demonstrated an overall synergy but showed obvious spatial heterogeneity. Climate change was the primary driver of trade-offs/synergies, followed by the degree of vegetation coverage and terrain factors. This indicates that when formulating ecological strategies must therefore account for interactions among these key factors and their potential nonlinear effects.
ecosystem services / trade-off and synergy / spatiotemporal variation / geographically weighted regression / random forest / Baishanzu National Park
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