1. 长安大学 地球科学与资源学院,陕西,西安,710054
2. 长安大学 土地工程学院,陕西,西安,710054
3. 国家林业和草原局 西北调查规划设计院,陕西,西安,710048
纸质出版:2021
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张乐艺, 李霞, 冯京辉, 等. 2000-2018年黄河流域NDVI时空变化及其对气候和人类活动的双重响应[J]. 水土保持通报, 2021,41(5):276-286.
Zhang Leyi, Li Xia, Feng Jinghui, et al. Spatial-temporal Changes of NDVI in Yellow River Basin and Its Dual Response to Climate Change and Human Activities During 2000-2018[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 276-286.
张乐艺, 李霞, 冯京辉, 等. 2000-2018年黄河流域NDVI时空变化及其对气候和人类活动的双重响应[J]. 水土保持通报, 2021,41(5):276-286. DOI: 10.13961/j.cnki.stbctb.20210809.001.
Zhang Leyi, Li Xia, Feng Jinghui, et al. Spatial-temporal Changes of NDVI in Yellow River Basin and Its Dual Response to Climate Change and Human Activities During 2000-2018[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 276-286. DOI: 10.13961/j.cnki.stbctb.20210809.001.
[目的] 分析黄河流域NDVI时空变化特征,探究NDVI变化对气候和人类活动的响应机制,为制定合理的生态工程提供科学依据,为实现黄河流域生态保护和高质量发展提供保障。[方法] 基于MODIS NDVI数据,辅以降水和气温数据,采用一元线性趋势分析、Hurst指数、偏相关分析及残差分析方法,对2000—2018年黄河流域NDVI时空变化特征进行分析,并探讨了NDVI变化对气候和人类活动的双重响应。[结果] ①黄河流域NDVI呈现波动增加趋势,总增速为6.8%/10 a,NDVI在东南部及西部较高,北部及西北部较低,由东南向西北部减少,下游最高,中游次之,上游最低;整体上,以东亚季风生态地理区和西北干旱生态地理区界线(鄂尔多斯市—毛乌素沙地—庆阳市—平凉市—定西市)和青藏高原生态地理区和西北干旱生态地理区及东亚季风生态地理区界线(西宁市—甘南市—定西市)为界呈Ⅴ字型分布。②NDVI整体变化趋势以改善为主,反持续性强于持续性,且表现出较强的弱持续性,其中改善区约占62.32%,主要呈带状集中分布。在中上游地区,在鄂尔多斯市—毛乌素沙地—庆阳市—平凉市—定西市—西宁市—甘南市、太原盆地—临汾盆地—关中平原及运城盆地—三门峡两两界线间的条带区域基本为改善区,而退化区域以中下游为主,呈零散分布。③NDVI与降水和气温呈正相关,且与降水的偏相关强度稍大于气温,流域约76.7%的地区NDVI残差呈增长的趋势,人类活动整体对NDVI增加的影响以促进为主,促进作用大小顺序为:中游>上游>下游。[结论] 黄河流域NDVI变化受气候和人类活动共同影响,具有空间异质性,适度的生态工程及农业生产活动对植被恢复有重要作用。
[Objective] Spatial-temporal changes of normalized difference vegetation index (NDVI) in the Yellow River basin were analyzed and its response mechanism to climate change and human activities was investigated in order to provide references for appropriate ecological engineering and guarantee ecological protection and high-quality development in the Yellow River basin.[Methods] In conjunction with MODIS NDVI
precipitation
and temperature data
we used unary linear trend analysis
Hurst index
partial correlation analysis
and residual analysis methods to analyze the spatial-temporal changes of NDVI in the Yellow River basin between 2000 and 2018. The NDVI's dual response mechanism to climate and human activities was discussed.[Results] ① NDVI in the Yellow River basin showed increased volatility over time with an overall growth rate of 6.8%/10 year. The NDVI was higher in the southeast and west
and lower in the north and northwest. The NDVI decreased from southeast to northwest. The NDVI was highest in the downstream region
intermediate in the midstream region
and lowest in the upstream region. NDVI also had a V-shaped distribution bounded by the East Asian monsoon eco-geographical area
the northwest arid eco-geographical area (Erdos-Maowusu Sandy Land-Qingyang-Pingliang-Dingxi)
the Qinghai-Tibet Plateau eco-geographical area and zone bounded by the northwest arid eco-geographical area
and the East Asian monsoon eco-geographical area (Xining-Gannan-Dingxi); ② The overall trend of the NDVI showed improvement. Its anti-continuity was stronger than continuity with great weak continuity. The improvement area accounted for about 62.32% of the total area
and was distributed as a strip-shaped area in the middle and upper reaches of the Ordos-Mowsu Sandy Land-Qingyang-Pingliang-Dingxi-Xining-Gannan
Taiyuan Basin-Linfen Basin-Guanzhong Plain
and the zone bounded by Yuncheng Basin-Sanmenxia. The degraded areas were dominated by the middle and lower reaches with scattered distribution; ③ The NDVI was positively correlated with precipitation and air temperature
and the intensity of the partial correlation with precipitation was slightly larger than that of air temperature. The NDVI residuals in about 76.7% of the basin were increasing. The overall impact of human activities on NDVI was positive
and was greatest in the midstream region
followed by the upstream region
and finally the downstream region.[Conclusion] NDVI changes in the Yellow River basin are influenced by climate and human activities and exhibit spatial heterogeneity. Appropriate ecological engineering and agricultural production activities play an important role in vegetation restoration.
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