| 陕北黄土高原植被覆盖时空变化及其归因分析北大核心CSCD |
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| 引用本文： | 张博,刘长星,王璇.陕北黄土高原植被覆盖时空变化及其归因分析北大核心CSCD[J].测绘通报,2022,0(8):22-29. |
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| 作者姓名： | 张博 刘长星 王璇 |
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| 作者单位： | 西安科技大学测绘科学与技术学院, 陕西 西安 710054 |
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| 基金项目： | 国家自然科学基金(41674013;41874012) |
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| 摘 要： | 本文借助Google Earth Engine(GEE)云平台,以Landsat影像、气温降水和土地利用类型为基础,利用Theil-Sen Median趋势分析、Mann-Kendall检验、偏相关性和多元回归残差分析法,分析了1999—2018年陕北黄土高原植被覆盖时空特征、变化趋势及气候变化与人类活动对于不同土地利用类型的影响,得出以下结论:(1)1999—2018年陕北黄土高原年际FVC呈改善趋势,其平均增速为0.004 9/a(P<0.01),植被覆盖度呈增加趋势的面积占总面积的74.43%;(2)植被覆盖度与降水和气温的偏相关系数具有明显的空间差异,植被生长对降水变化较敏感;(3)气候变化和人类活动的共同作用是植被生长的主要原因,其中气候变化对植被FVC的影响范围为-0.001 0/a~0.003 6/a,而人类活动对植被FVC的影响范围为-0.046 1/a~0.049 0/a;(4)在不同土地利用类型中,气候变化对水体增幅影响最大,对针叶林和阔叶林增幅影响最小,而人类活动变化对人类占用地增幅影响最大,对阔叶林增幅影响最小。
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| 关 键 词： | 陕北黄土高原 偏相关性 多元回归残差分析 气候变化 人类活动 |
| 收稿时间： | 2021-10-18 |
Spatio-temporal changes of vegetation coverage in the Loess Plateau of northern Shaanxi and its attribution analysis |
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| ZHANG Bo,LIU Changxing,WANG Xuan.Spatio-temporal changes of vegetation coverage in the Loess Plateau of northern Shaanxi and its attribution analysis[J].Bulletin of Surveying and Mapping,2022,0(8):22-29. |
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| Authors: | ZHANG Bo LIU Changxing WANG Xuan |
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| Institution: | College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China |
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| Abstract: | With the Google Earth Engine (GEE) cloud platform, this study uses Landsat imagery, temperature precipitation and land use types data as the basis, and Theil-Sen Median trend analysis, Mann-Kendall test, partial correlation and multiple regression residual analysis to analyze the 1999—2018 the spatial and temporal characteristics of vegetation cover, change trends, and the effects of climate change and human activities on different land use types on the Loess Plateau in northern Shaanxi. The resufts are that: ①The interannual FVC of the Loess Plateau in northern Shaanxi shows an improving trend from 1999 to 2018, and its average growth rate is 0.0049/a (P<0.01), and the area with an increasing trend of vegetation cover accounted for 74.43% of the total area. ②the partial correlation coefficients of vegetation cover with precipitation and temperature has obvious spatial differences, and vegetation growth is more sensitive to changes in precipitation. ③Climate change and human activities together are the main causes of vegetation growth, where the effect of climate change on vegetation FVC ranges from -0.0010 to 0.0036/a, while the effect of human activities on vegetation FVC ranges from -0.0461 to 0.0490/a.④Among the different land use types, climate change increases the most for water bodies and the least for coniferous and broad-leaved forests; while human activity changes increase the most for human occupied land and the least for broad-leaved forests. |
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| Keywords: | Loess Plateau of northern Shaanxi partial correlation multiple regression residual analysis climate change human activities |
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