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中国岷江上游生态系统服务价值的时空演变及驱动因素

Spatiotemporal evolution and driving factors of ecosystem service value in the Upper Minjiang River of China.

作者信息

Duan Linsen, Yang Suhua, Xiang Mingshun, Li Wenheng, Li Jianhua

机构信息

College of Geography and Planning, Chengdu University of Technology, Chengdu, 610059, China.

Research Center for Human Geography of Tibetan Plateau and its Eastern Slope, Chengdu University of Technology, Chengdu, 610059, China.

出版信息

Sci Rep. 2024 Oct 8;14(1):23398. doi: 10.1038/s41598-024-74646-4.

Abstract

The stability of ecosystems in high mountain canyon areas is poor, and the interaction between humans and the land is complex, making these ecosystems more vulnerable to destruction. Quantitatively assessing the ecosystem service value (ESV) in high mountain canyon areas and revealing its spatiotemporal evolution patterns and driving factors play a crucial role in the construction of regional ecological barriers and the assurance of ecological security. This study focuses on the Upper Minjiang River as the research area, using the InVEST model and the Equivalent Factor Method to estimate ESV. This combination aims to address the inadequacy of the Equivalent Factor Method in reflecting the variability of ESV across different regions, and the sensitivity of the InVEST model to data changes that results in insufficient accuracy of ESV assessments. By harnessing spatial au-tocorrelation and the geodetector method, we unravel the spatiotemporal evolution characteristics and driving factors of ESV. The results show that: (1) From 2000 to 2020, the ESVs estimated by the two estimations increased by 31.28% and 22.47%, respectively, both indicating that the eco-environment quality of the upper Minjiang River has been continuously improved. (2) When Moran's I was greater than 0.5 (p < 0.05), the spatial clustering of "High-High" and "Low-Low" ESV was obvious. It is clear that the ESV varies geographically. High values are primarily found in the study area's center and southern regions, as well as on both banks of the Minjiang River, whereas low values are more common in the region's northern region. (3) Slope and human activity intensity (HAI) are the principal contributors to the spatial differentiation of the ESV, more than 60% of the interaction types between the two factors were classified as dual-factor enhancement. The synergistic reinforcing effects of HAI, slope, elevation, and temperature collectively shape the shifts in ESV spatial distribution. This study offers a novel evaluative lens on the ESV of the Upper Minjiang River area, supplying a sturdy data support for crafting specific ecological preservation and rejuvenation strategies in the coming years.

摘要

高山峡谷地区生态系统稳定性较差,人类与土地的相互作用复杂,使得这些生态系统更容易受到破坏。定量评估高山峡谷地区生态系统服务价值(ESV),揭示其时空演变格局和驱动因素,对区域生态屏障建设和生态安全保障具有至关重要的作用。本研究以岷江上游为研究区域,运用InVEST模型和当量因子法估算ESV。这种结合旨在解决当量因子法在反映不同区域ESV变异性方面的不足,以及InVEST模型对数据变化的敏感性导致ESV评估精度不足的问题。通过利用空间自相关和地理探测器方法,我们揭示了ESV的时空演变特征和驱动因素。结果表明:(1)2000年至2020年,两种估算方法估算的ESV分别增长了31.28%和22.47%,均表明岷江上游生态环境质量不断改善。(2)当莫兰指数I大于0.5(p < 0.05)时,ESV的“高 - 高”和“低 - 低”空间聚类明显。显然,ESV在地理上存在差异。高值主要出现在研究区域的中部和南部地区以及岷江两岸,而低值在该区域的北部地区更为常见。(3)坡度和人类活动强度(HAI)是ESV空间分异的主要贡献因素,两因素之间超过60%的相互作用类型被归类为双因素增强。HAI、坡度、海拔和温度的协同增强效应共同塑造了ESV空间分布的变化。本研究为岷江上游地区的ESV提供了一个全新的评估视角,为今后制定具体的生态保护和修复策略提供了有力的数据支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f034/11461897/741567c24e34/41598_2024_74646_Fig1_HTML.jpg

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