[滦河流域植被覆盖变化及其对自然和人为因素的响应]。

Q3 Environmental Science
Ping Feng, Wang Yang, Jian-Zhu Li, Ni-Juan Yang, Jia-Cheng Duan
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引用次数: 0

摘要

动态评价滦河流域植被覆盖变化及其对生态因子的响应,对于保障区域生态安全,促进京津冀城市群可持续发展具有重要意义。本文将滦河流域划分为两个生态区(内蒙古高原生态区和华北山地生态区)。采用Theil-Sen中位数趋势分析、Mann-Kendall检验和基于最优参数的地理探测器模型,系统分析了2000 - 2019年植被变化的时空特征,并量化了自然和人为因素对植被变化的影响。结果表明:2000 - 2019年归一化植被指数(NDVI)总体呈上升趋势,均值为0.72,增长率为0.0051·a-1;上游高原生态区植被NDVI增长率较高,但稳定性较差,中下游山地生态区植被稳定性较好。年降水量、年日照时数和土地利用类型转换是NDVI变化的主要驱动因素,其解释能力(q值)分别为0.22、0.18和0.17。其中,年降水量与土壤类型的交互作用最为显著(q=0.32)。土地利用变化对植被改善贡献显著,生态恢复项目区NDVI平均增加0.16。通过揭示自然和人为因素对植被覆盖变化的协同作用机制,为滦河流域生态保护和土地管理政策提供科学支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Vegetation cover changes and their responses to natural and anthropogenic factors in the Luanhe River Basin].

Dynamically assessing vegetation cover changes and their responses to ecological factors in the Luanhe River Basin is crucial for ensuring regional ecological security and promoting the sustainable development of the Beijing-Tianjin-Hebei urban agglomeration. In this study, the Luanhe River Basin was divided into two ecological zones (Inner Mongolia Plateau Ecoregion and North China Mountain Ecoregion). Using Theil-Sen median trend analysis, the Mann-Kendall test, and the optimal parameters-based geographical detector model, we systematically analyzed the spatiotemporal characteristics of vegetation change from 2000 to 2019 and quantified the effects of natural and anthropogenic factors. The results showed that the normalized difference vegetation index (NDVI) exhibited an overall increasing trend with fluctuations from 2000 to 2019, with a mean value of 0.72 and a growth rate of 0.0051·a-1. The NDVI growth rate in the upstream plateau ecological zone was higher but less stable, whereas vegetation in the midstream and downstream mountain ecological zone exhibited greater stability. Annual precipitation, annual sunshine duration, and land-use type conversion were identified as key drivers of NDVI variation, with explanatory power (q-values) of 0.22, 0.18, and 0.17, respectively. Among them, the interaction between annual precipitation and soil type was the most significant (q=0.32). Land use changes significantly contri-buted to vegetation improvement, with an average NDVI increase of 0.16 in ecological restoration project areas. By revealing the synergistic mechanism of natural and anthropogenic factors on vegetation cover changes, our results provide scientific support for ecological conservation and land management policies in the Luanhe River Basin.

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来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
自引率
0.00%
发文量
11393
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