Spatiotemporal Characteristics of Typical Ecosystem Services and Their Spatial Responses to Driving Factors in Ecologically Fragile Areas in Upper Yellow River, China

IF 3.4 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Gui Liang, Fengman Fang, Yuesheng Lin, Zhiming Zhang
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引用次数: 0

Abstract

The identification of dominant driving factors for different ecosystem services (ESs) is crucial for ecological conservation and sustainable development. However, the spatial heterogeneity of the dominant driving factors affecting various ESs has not been adequately elucidated, particularly in ecologically fragile regions. This study employed the integrated valuation of ESs and trade-offs (InVEST) model to evaluate four ESs, namely, water yield (WY), soil conservation (SC), habitat quality (HQ), and carbon storage (CS), and then to identify the dominant driving factors of spatiotemporal differentiation of ES and further to characterize the spatial heterogeneity characteristics of the dominant driving factors in the eco-fragile areas of the upper Yellow River, China from 2000 to 2020. The results demonstrated that WY exhibited northeast-high and northwest-low patterns in the upper Yellow River region, while high values of SC and CS were distributed in central forested areas and a high value of HQ was distributed in vast grassland areas. The CS, WY, and SC exhibited decreasing trends over time. The most critical factors affecting WY, SC, HQ, and CS were the actual evapotranspiration, precipitation, slope, and normalized difference vegetation index, respectively. In addition, the effects of different factors on various ESs exhibited spatial heterogeneity. These results could provide spatial decision support for eco-protection and rehabilitation in ecologically fragile areas.

中国黄河上游生态脆弱地区典型生态系统服务的时空特征及其对驱动因素的空间响应
确定不同生态系统服务(ES)的主要驱动因素对于生态保护和可持续发展至关重要。然而,影响各种生态系统服务的主要驱动因素的空间异质性尚未得到充分阐明,尤其是在生态脆弱地区。本研究采用生态系统服务与权衡综合评价(InVEST)模型,对黄河上游生态脆弱地区 2000-2020 年期间的水量(WY)、水土保持(SC)、生境质量(HQ)和碳储量(CS)四种生态系统服务进行评价,进而识别生态系统服务时空分异的主导驱动因子,并进一步描述主导驱动因子的空间异质性特征。结果表明,WY在黄河上游地区呈现东北高、西北低的格局,SC和CS的高值分布在中部林区,HQ的高值分布在广阔的草原区。随着时间的推移,CS、WY 和 SC 呈下降趋势。影响 WY、SC、HQ 和 CS 的最关键因素分别是实际蒸散量、降水量、坡度和归一化差异植被指数。此外,不同因子对各种 ES 的影响表现出空间异质性。这些结果可为生态脆弱地区的生态保护和恢复提供空间决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chinese Geographical Science
Chinese Geographical Science 环境科学-环境科学
CiteScore
6.10
自引率
5.90%
发文量
63
审稿时长
3.0 months
期刊介绍: Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China. Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.
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