
百山祖国家公园生态系统服务权衡与协同效应及其驱动因素分析
王超锐, 钟佳辉, 王增, 刘伟, 张勇, 胡兆贵, 王丹, 刘胜龙, 林杰
南京林业大学学报(自然科学版) ›› 2025, Vol. 49 ›› Issue (5) : 249-257.
百山祖国家公园生态系统服务权衡与协同效应及其驱动因素分析
Analysis of trade-offs, synergies, and driving factors of ecosystem services in Baishanzu National Park
【目的】探究百山祖国家公园自然保护区生态系统服务的权衡与协同以及驱动因素,为制定科学的生态保护和管理策略提供支持。【方法】通过InVEST模型和CASA模型量化百山祖国家公园2000—2020年植被净初级生产力(NPP)、土壤保持量(SC)、生境质量(HQ)和产水量(WY)生态系统服务,使用Spearman和地理加权回归分析生态系统服务间权衡与协同的关系,通过随机森林模型探讨影响生态系统服务权衡与协同的主导因素和边际效应。【结果】2000—2020年百山祖国家公园自然保护区NPP呈上升的趋势,HQ呈微弱的下降趋势,SC和WY呈先减少后增加的趋势;在空间上,NPP、SC和WY呈现出相同的地理格局,中部和西北部高程较高,HQ高值主要集中在研究区中部和北部;温度的升高对HQ和NPP的关系有显著影响,而降水量、高程和坡度对SC和WY的关系有显著影响。【结论】4种生态系统服务在整体上表现为协同现象,但在空间上呈现明显的空间异质性;气候变化度是影响生态系统服务权衡与协同的主要因素,其次是植被覆盖度和地形因子。这表明在制定生态保护和管理策略时,需要考虑这些关键因素的相互作用及其潜在的非线性效应。
【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.
生态系统服务 / 权衡与协同 / 时空变化 / 地理加权回归 / 随机森林 / 百山祖国家公园
ecosystem services / trade-off and synergy / spatiotemporal variation / geographically weighted regression / random forest / Baishanzu National Park
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