黄河流域甘肃段植被覆盖度时空变化及对气候因子的响应
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S812.1

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甘肃省青年科技基金计划项目"基于无人机技术的甘南草地植被状况监测"(18JR3RA024)


Temporal and Spatial Variation of Vegetation Coverage and Its Response to Climate Factors in Gansu Section of Yellow River Basin
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    摘要:

    [目的] 分析黄河流域甘肃段2000-2018年植被覆盖度变化的时空演变规律,探讨该区域植被覆盖度的变化对气候的响应机制,为该区域生态环境与社会经济的协调可持续发展和进一步落实生态环境保护、建设及恢复提供科学依据。[方法] 基于2000-2018年的MODIS NDVI数据、气象数据,采用线性趋势分析和相关性分析等方法,对黄河流域甘肃段植被覆盖度的时空变化特征及与气候因子之间的关系进行分析。[结果] ①空间上,近19 a研究区植被覆盖度自西南向东北在不断降低,以甘南州的植被覆盖状况最好;植被覆盖度改善面积占36.64%,主要分布于兰州市北部、临夏州、定西市、庆阳市、平凉市大范围区域、天水市南部等,而退化面积占4.2%,主要集中于甘南州等地区。②时间上,研究区植被覆盖度以2013年为界呈现"先持续增加后波动减少"的变化趋势,但整体在不断增加;以平凉市的增加速度最快,平均每年增长0.96%。③研究区植被覆盖度对降水量变化的响应敏感,与降水量呈现显著的正相关关系。[结论] 研究区植被覆盖度空间差异明显,2000-2018年植被以改善为主,降水是影响这些区域植被改善的有利因素,降水状况的改善对研究区生态环境建设与修复至关重要。

    Abstract:

    [Objective] The temporal and spatial evolution of vegetation coverage change from 2000 to 2018 was analyzed, and the response mechanism of vegetation coverage to climate change was clarified in Gansu section of the Yellow River basin, in order to provide scientific basis for the coordinated and sustainable development of ecological environment and social economy in this region and for the further implementation of ecological environment protection, construction and restoration.[Methods] Based on the MODIS NDVI data and meteorological data from 2000 to 2018, linear regression and correlation analysis method was used to analyze the temporal and spatial variation of vegetation coverage and its relationship with climate factors in Gansu section of the Yellow River basin.[Results] The vegetation coverage was decreasing from southwest to northeast in the past 19 years, and Gannan Prefecture had the best vegetation cover. The improved area of vegetation coverage accounted for 36.64%, which was mainly distributed in the north of Lanzhou, Linxia Prefecture, Dingxi City, Qingyang City, Pingliang City and the south of Tianshui City, while the degraded area accounted for 4.2%, which was mainly concentrated in Gannan Prefecture. The vegetation coverage in the study area showed a trend of continuous increase before 2013 and then decreased in fluctuation afterward, but it was increasing as a whole. Pingliang City was the fastest growing city, with an average annual growth rate of 0.96 per year. The vegetation coverage was sensitive to precipitation change in the study area, which showed a significant positive correlation with precipitation.[Conclusion] The spatial difference of vegetation cover in the study area was obvious. The vegetation was mainly improved from 2000 to 2018. Precipitation is a favorable factor affecting the improvement of vegetation, and the improvement of precipitation is very important for the construction and restoration of ecological environment in the study area.

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陆荫,张强,李晓红,杨淑霞,杨青.黄河流域甘肃段植被覆盖度时空变化及对气候因子的响应[J].水土保持通报,2020,40(2):232-238

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  • 收稿日期:2019-12-17
  • 最后修改日期:2020-03-02
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  • 在线发布日期: 2020-05-14
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