1. 成都理工大学 地球科学学院,四川,成都,610059
2. 中国科学院 水利部 成都山地灾害与环境研究所,四川,成都,610041
3. 成都理工大学 工程技术学院,四川,乐山,614007
4. 地学空间信息技术国土资源部重点实验室,四川,成都,610059
纸质出版:2017
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范微维, 易桂花, 张廷斌, 等. 黄河源区青海省玛多县2000—2014年NDVI变化及气候驱动因子[J]. 水土保持通报, 2017,37(1):335-340.
FAN Weiwei, YI Guihua, ZHANG Tingbin, et al. Variation of NDVI and Its Climatic Driving Factors in Maduo County of Qinghai Province in Yellow River Source Region During 2000—2014[J]. Bulletin of Soiland Water Conservation, 2017, 37(1): 335-340.
范微维, 易桂花, 张廷斌, 等. 黄河源区青海省玛多县2000—2014年NDVI变化及气候驱动因子[J]. 水土保持通报, 2017,37(1):335-340. DOI: 10.13961/j.cnki.stbctb.2017.01.059.
FAN Weiwei, YI Guihua, ZHANG Tingbin, et al. Variation of NDVI and Its Climatic Driving Factors in Maduo County of Qinghai Province in Yellow River Source Region During 2000—2014[J]. Bulletin of Soiland Water Conservation, 2017, 37(1): 335-340. DOI: 10.13961/j.cnki.stbctb.2017.01.059.
[目的] 研究黄河源区青海省玛多县2000—2014年NDVI的变化及其驱动因子气候的变化,为玛多县生态环境保护和土地资源规划提供决策依据。[方法] 利用玛多县及其周边地区9个气象站生长季气象资料和MOD13Q1/NDVI遥感影像数据集,采用最大值合成法、趋势分析法和相关分析方法,分析NDVI的变化及气候驱动因子。[结果] 近15 a玛多县NDVI整体上呈增加趋势,增速为0.012/10 a;玛多县65.84%区域的植被覆盖保持在基本不变状态,改善区域(27.47%)大于退化区域(6.69%);NDVI与生长季气温和降水均呈正相关关系,其中生长季降水对NDVI的影响更大;研究区内NDVI变化主要受非气候因子驱动影响,占研究区面积的83.61%,受气候驱动影响的面积仅占16.39%,其中,气温降水综合驱动型占3.93%,气温驱动型占2.74%,降水驱动型占9.72%。[结论] 2000—2014年非气候因素是影响玛多县植被NDVI变化的决定性因素。
[Objective] The objective of this study is to analyze the vegetation dynamics and the impacts of climate change on vegetation cover in Maduo County of Qinghai Province
in order to provide decision basis for the ecological environment protection and planning of land resources. [Methods] MODIS13Q1/NDVI time series data
mean air temperature and precipitation data from 9 associated weather stations in growing-season during 2000 to 2014 were collected. Methods including maximum value synthesis
trend line analysis
correlation analysis
partial correlation analysis and multiple correlation analysis were applied. [Results] At temporal scale
NDVI had increased gradually at a rate of 0.012/10 a
which showed a good development trend for the vegetation cover in this region. At spatial scale
65.84% area of vegetation coverage remained unchanged basically
while the increased and decreased area covered by 27.47% and 6.69% of this area
respectively. NDVI changes in the study area were mainly driven by non-climatic factors
which accounted for 83.61% of the area of the study area. In contrast
only 16.39% of the area was affected by climatic factors
of which
3.96% was driven by a combined climatic factor of both air temperature and precipitation
2.74% was driven by temperature and 9.72% was driven by precipitation. [Conclusion] Human activities are the key factors that affect the vegetation changes in Maduo County during the period from 2000 to 2014.
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