2000-2020年陕西省植被动态变化及驱动因素分析
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1.北京林业大学水土保持学院;2.山西吉县森林生态系统国家野外科学观测研究站;3.挪威科技大学工业生态学项目和能源与过程工程系 挪威

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国家自然科学基金项目(面上项目)


Analysis of vegetation dynamics and driving factors in Shaanxi Province from 2000 to 2020
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School of Soil and Water Conservation, Beijing Forestry University

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    摘要:

    生态修复在陆地生态系统保护中发挥着重要的作用,尤其是在水资源有限的干旱半干旱区域,降雨成为影响生态修复成效的重要因素。本文利用叶面积指数(LAI,Leaf Area Index)、净初级生产力(NPP,Net Primary Productivity)、归一化植被指数(NDVI,Normalized Difference Vegetation Index)等多项植被指数卫星遥感数据,选取“三北防护林工程”区域陕西省作为研究区,采用趋势分析、序列线性回归斜率(SeRGS,Sequential linear Regression Slopes)、偏相关分析等方法,从绿度-生产力时空动态、植被-降雨利用效率(RUE,Rainfall Use Efficiency)和植被降雨敏感性(VRR,Vegetable-Rainfall-Sensitivity)开展植被-降雨关系研究,识别生态修复的关键区域。研究发现陕西省大部分区域植被LAI和NPP均呈显著增加趋势;降雨利用效率和植被-降雨敏感性大部分区域趋势特征较为稳定,RUE呈显著增加的区域占4.34%,而显著减少的区域为2.47%;VRR有6.68%的区域显著增加,显著减少的区域有7.51%。偏相关分析得出:LAI、NPP与年降雨、气温主要呈显著负相关关系,RUE与温度偏相关关系较弱,VRR与年降雨、年气温主要呈显著负相关关系。本研究强调在生态文明建设背景下研究植被动态和降雨关系的重要性,通过分析陕西省植被动态及可能原因,深入理解植被和降雨等的相互关系,为干旱半干旱地区的生态恢复、水资源管理和可持续发展提供科学依据和决策支持。

    Abstract:

    Ecological restoration plays an important role in the protection of terrestrial ecosystems, especially in arid and semi-arid areas with limited water resources. Rainfall has become an important factor in affecting the effectiveness of ecological restoration. In this study, we selected Shaanxi Province as the study area of the "Three-North Shelterbelt Project" by using satellite remote sensing data such as Leaf Area Index (LAI), Net Primary Productivity (NPP), and Normalized Difference Vegetation Index (NDVI). Sequential linear regression slopes (SeRGS) and partial correlation analysis are used to study the relationship between vegetation and rainfall from the spatiotemporal dynamics of greenness-productivity, vegetation-rainfall use efficiency (RUE) and vegetation rainfall sensitivity (VRR) to identify key areas for ecological restoration. The results showed that vegetation LAI and NPP increased significantly in most areas of Shaanxi Province. The trend characteristics of rainfall use efficiency and vegetation-rainfall sensitivity were stable in most regions, with 4.34% of the areas with a significant increase in RUE, and 2.47% for the area with a significant decrease. There was a significant increase in 6.68% of the areas and a significant decrease in 7.51% of the areas. Partial correlation analysis showed that LAI and NPP were mainly negatively correlated with annual rainfall and temperature, RUE was weakly correlated with temperature, and VRR was significantly negatively correlated with annual rainfall and annual temperature. This study emphasizes the importance of studying the relationship between vegetation dynamics and rainfall in the context of ecological civilization construction, and deeply understands the relationship between vegetation and rainfall in Shaanxi Province by analyzing vegetation dynamics and possible causes, so as to provide scientific basis and decision-making support for ecological restoration, water resources management and sustainable development in arid and semi-arid areas.

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赵欣铃,华廷,于洋.2000-2020年陕西省植被动态变化及驱动因素分析.生态学报,,(). http://dx. doi. org/[doi]

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