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生态学杂志 ›› 2025, Vol. 44 ›› Issue (3): 834-847.doi: 10.13292/j.1000-4890.202503.033

• 研究报告 • 上一篇    下一篇

最适尺度下喀斯特地区生态系统服务供需分异的驱动力探测

陈田田1,2,温婉琴1,2,王强3*   

  1. 1重庆师范大学三峡库区地表过程与生态修复重庆市重点实验室, 重庆 401331; 2三峡库区地表生态过程重庆市野外科学观测研究站, 重庆 401331; 3重庆市规划和自然资源调查监测院, 重庆 401121)

  • 出版日期:2025-03-10 发布日期:2025-06-10

Factors driving differentiation in ecosystem service supply-demand in karst regions at the optimal scale.

CHEN Tiantian1,2, WEN Wanqin1,2, WANG Qiang3*   

  1. (1Chongqing Key Laboratory of Surface Process and Environment Remote Sensing in the Three Gorges Reservoir Area, Chongqing Normal University, Chongqing 401331, China; 2Chongqing Field Observation and Research Station of Surface Ecological Process in the Three Gorges Reservoir Area, Chongqing 401331, China; 3Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, Chongqing 401121, China).

  • Online:2025-03-10 Published:2025-06-10

摘要: 探索喀斯特生态脆弱区生态系统服务供需关系的时空变化格局、尺度效应及驱动机制对确保区域生态系统服务提升、关系平衡及多元化调控方案的制定具有重要意义。本文以贵州省为例,选取土壤保持、产水、碳固存及粮食供应四类服务,在对其供给量、需求量及供需关系时空变化格局进行剖析的基础上,采用探索性空间分析及基于最优参数的地理探测器模型识别其空间分异的尺度效应,明晰最适尺度下其分异特征的驱动机制。结果表明:(1)2000—2020年,四类生态系统服务的供给和需求能力均呈增长趋势,除产水服务外,其余服务基本处于盈余状态,但这种盈余状况随时间推移呈现出一定的下降趋势;(2)区域生态系统服务供需关系的空间分异特征明显。其中,土壤保持服务供需的高值区主要分布于研究区边缘植被覆盖度较高地区,低值区主要位于研究区腹地;产水、碳固存及粮食供应服务供需的高值区零散分布于中心城镇,而低值区遍布于全域,且东部海拔低、植被覆盖度较高地区的供需盈余态势更明显。(3)4种类型8级评价尺度的对比分析表明,乡镇单元是贵州省生态系统服务供需关系的最适分异尺度,其反映的生态系统服务供需特征更丰富;(4)乡镇尺度下,造成区域生态系统服务供需分异的主导因子主要为人口密度、NDVI和GDP,且因子间的交互作用均高于单因子的影响,其中以坡度和人口密度的交互作用最显著。本文在对生态系统服务供需时空变化特征进行剖析的基础上,定量识别了其分异的最适尺度及在此尺度下的驱动机制,为喀斯特地区生态修复工程的精准实施提供科学参考。


关键词: 生态系统服务, 供需关系, 空间分异, 尺度, 驱动机制, 基于最优参数的地理探测器

Abstract: Exploring the spatiotemporal variations, scale effects, and underlying drivers of the supply-demand relationship of ecosystem services in karstic, ecologically fragile regions is essential for improving regional ecosystem services, balancing relationships, and formulating diverse regulatory plans. In this study, we focused on four types of ecosystem services: soil conservation, water yield, carbon sequestration, and food supply. We analyzed the spatiotemporal variation in the supply, supply-demand relationships, and the scale effect of the spatial differentiation of ecosystem service supply-demand relationships in Guizhou Province. Furthermore, we elucidated the spatial differentiation mechanism of ecosystem service supply-demand relationships at the optimal scale according to the exploratory spatial analysis and the optimal parameters-based Geographical Detectors Model. The results showed that: (1) the supply and demand of the four ecosystem services increased from 2000 to 2020. All ecosystem services except water yield were in surplus, and the surplus status decreased over time. (2) The supply-demand relationships of ecosystem services showed spatial variations. The regions with a high value of soil conservation supply and demand were mainly distributed on the edge of the study area with high vegetation coverage, while those with a low value of soil conservation supply demand were mainly located in the hinterland. The regions with a high value of supply and demand of water production, carbon sequestration, and food supply were scattered in the central towns/cities, whereas those with low values were distributed throughout the region. The supplydemand surplus in the eastern regions with low elevation and high vegetation coverage was more pronounced than that in the eastern regions. (3) The comparative analysis of the scale for the four ecosystem service types, which included eight levels, indicated that the township was the most suitable scale for analyzing the spatial differentiation of ecosystem service supply-demand relationship. This scale reflected more diverse supply and demand characteristics of ecosystem services. (4) At the township scale, population density, normalized difference vegetation index, and gross domestic product were the main forces causing spatial differentiation of ecosystem service supply-demand relationships. The interaction between different forces was higher than that of single force, with slope and population density being the most prominent. This study quantitatively identified the optimal scale for ecosystem service supply and demand divergence and the underlying drivers for this scale through multi-scale analysis, providing a scientific basis for the accurate implementation of ecological restoration projects in karst regions.


Key words: ecosystem services, supply and demand, spatial differentiation, scale, driving mechanism, optimal parameters-based geographical detector model