Evaluation of ecosystem service capacity using the integrated ecosystem services index at optimal scale in Central Yunnan, China

Understanding and quantifying the dynamic features of local ecosystem
services (ESs) and integrating various ecosystem assessment results are
crucial foundations for regional ES management. However, existing methods
for integrating and objectively evaluating multiple ESs remain limited.
Therefore, this research evaluates four key services based on the InVEST
and RUSLE models in the Central Yunnan Province (CYP) —during 2000 to
2020: water yield (WY), carbon storage (CS), habitat quality (HQ), and
soil conservation (SC). It then constructs an Integrated Ecosystem Service
Index (IESI) using Principal Component Analysis (PCA). Additionally, this
study explores the factors driving the spatial divergence of ESs by
employing the optimal parameters-based geographical detector model (OPGD)
at the optimal spatial scale. This study offers a more scientific and
effective approach to evaluating regional integrated ecosystem service
capacity. It provides a comprehensive analysis tool for weighing land use
competition and evaluating the effect of policy. implementation.

理解并量化本地生态系统服务（ecosystem services）的动态特征，整合各类生态系统评估结果，是区域生态系统服务管理的核心基础。然而，当前用于整合并客观评估多项生态系统服务的方法仍存在局限。据此，本研究以云南中部（Central Yunnan Province）2000至2020年为研究时段，基于InVEST模型与RUSLE模型评估了四项关键生态系统服务：产水量（water yield）、碳储量（carbon storage）、生境质量（habitat quality）与土壤保持（soil conservation）。随后采用主成分分析（Principal Component Analysis）构建综合生态系统服务指数（Integrated Ecosystem Service Index）。此外，本研究在最优空间尺度下，采用基于最优参数的地理探测器模型（optimal parameters-based geographical detector model），探究了生态系统服务空间分异的驱动因素。本研究为区域综合生态系统服务能力评估提供了更为科学高效的方法，同时也为权衡土地利用竞争关系、评估政策实施效果提供了综合分析工具。