[1]黄钰清,李骁尧,于强*,等. 1995-2018年黄河流域土地利用变化及驱动力分析[J].西北林学院学报,2022,37(6):113-121.[doi:10.3969/j.issn.1001-7461.2022.06.16]
 HUANG Yu-qing,LI Xiao-yao,YU Qiang*,et al. An Analysis of Land Use Change and Driving Forces in the Yellow River Basin from 1995 to 2018[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2022,37(6):113-121.[doi:10.3969/j.issn.1001-7461.2022.06.16]
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 1995-2018年黄河流域土地利用变化及驱动力分析()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第37卷
期数:
2022年第6期
页码:
113-121
栏目:
出版日期:
2022-11-30

文章信息/Info

Title:
 An Analysis of Land Use Change and Driving Forces in the Yellow River Basin from 1995 to 2018
文章编号:
1001-7461(2022)06-0113-09
作者:
 黄钰清1李骁尧1于强2*黄华国1
 (1.北京林业大学 森林资源和环境管理国家林草局重点实验室,北京 100083;2.北京林业大学 林学院,北京 100083)
Author(s):
 HUANG Yu-qing1LI Xiao-yao1YU Qiang2*HUANG Hua-guo1
 (1.Key Laboratory of Forest Resources and Environmental Management,National Forestry and Grass Administration/Beijing Forestry University,Beijing 100083,China; 2.Forestry College,Beijing Forestry University,Beijing 100083,China)
关键词:
 黄河流域土地利用动态度转移矩阵地理探测器
Keywords:
 Yellow River land of use dynamic graph transition matrix geodetector
分类号:
F301.24
DOI:
10.3969/j.issn.1001-7461.2022.06.16
文献标志码:
A
摘要:
 黄河流域土地利用变化会对其生态环境产生影响,分析土地利用变化情况及其驱动力,有利于制定黄河流域土地管理方案及生态环境治理修复措施。基于1995-2018年土地利用数据,使用土地利用动态度模型和土地利用转移矩阵的方法,分析黄河流域土地利用的时空变化特征,利用地理探测器探究黄河流域变化的驱动力。结果表明,1)1995-2018年,草地是研究区的主体,其面积关系为中覆盖度草地>低覆盖度草地>高覆盖度草地。总体上,草地、旱地、灌木林地的面积均呈现上涨趋势,其他土地类型的变化较小。2)有林地的单一动态度最高,达22.1%,其他建筑用地的单一动态度最低,为-3.82%。黄河流域整体综合动态度为0.41%,其中,2015-2018年综合动态度最高,为10.02%。3)在选取的10个地类中,转移矩阵转入和转出面积最大的是中覆盖度草地。4)土地利用变化的驱动力主要由气象、经济和政策3大因素构成,对整个黄河流域而言,气温变化对土地利用变化的解释力最强;而上中下游的主要驱动力存在差异,政策因素对上下游解释力较强,气象因素和经济因素对中游解释力较强。1995-2018年,草地是研究区主要的土地类型,面积占比最大且变化最频繁,应多关注草地的利用。研究通过分析气象因素、经济因素和政策因素对黄河流域不同地区的影响,为黄河流域高质量发展规划提供理论基础。
Abstract:
 The analysis of land use change is the basic study of the Yellow River Basin which has practical significance in providing methods for land consolidation,ecological environment remediation and sustainable development in the basin.Based on the data of land use from 1995 to 2018,the dynamic attitude model of land use and the method of land use transfer matrix were used to analyze the spatial-temporal change characteristics of land use in the basin,and the driving forces of the change were explored by the approach of geodetector.The results showed that 1) from 1995 to 2018,grassland was the main type of land,and its area ranked as:medium coverage grassland>low coverage grassland>high coverage grassland.On the whole,the areas of grassland,dry land and shrub land were on the rise,while other land types changed slightly.2) The single dynamic attitude of forest land was the highest,reaching 22.1%,while that of other construction land was the lowest as -3.82%.The overall comprehensive dynamic attitude of the basin was 0.41%,among which the comprehensive dynamic attitude was the highest in 2015-2018,which was 10.02%.3) Among the 10 selected land types,the grassland with medium coverage had the largest transfer-in and-out area according to the transfer matrix.4) The driving forces of land use change were mainly composed of meteorological,economic and policy factors.For the whole basin,the temperature change had the strongest explanatory power to land use change.There were differences in the main driving forces between the upper,middle and lower reaches of the basin.Policy factors had strong explanatory power to the upper and lower reaches,while meteorological factors and economic factors were strong to the middle reaches.From 1995 to 2018,grassland was the main land type in the study area,with the largest area and the most frequent changes,so more attention should be paid to the utilization of grassland.By analyzing the influence of meteorological factors,economic factors and policy factors on different areas of the basin,this study provides theoretical basis for high-quality development planning of the Yellow River Basin.

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备注/Memo

备注/Memo:
收稿日期:2021-10-08修回日期:2021-12-20
基金项目:国家自然科学基金(42001211)。
第一作者:黄钰清。研究方向:植被定量遥感。E-mail:h451063239@163.com
*通信作者:于强,博士,讲师。研究方向:3S技术在生态环境中的应用。E-mail:yuqiang@bjfu.cn
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