doi:10.12202/j.0476-0301.2020049刘丹,
璩路路,
李琳娜^,
北京师范大学地理科学学部， 100875，北京
基金项目:中国科学院区域可持续发展分析与模拟重点实验室开放基金资助项目（KF2018-01）；国家自然科学基金资助项目（41701119；42071227）；中央高校基本科研业务费专项资助项目（2017NT03）

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通讯作者:李琳娜（1986-），女，博士，讲师. 研究方向：土地利用、交通规划与城乡发展. E-mail：lilinna@bnu.edu.cn

中图分类号:K901.4

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出版历程

收稿日期:2020-03-13
网络出版日期:2021-05-21
刊出日期:2021-06-30

Spatial-temporal characteristics of land use change in the northern border transect of Heilongjiang Province, China

Dan LIU,
Lulu QU,
Linna LI^,
Faculty of Geographical Science, Beijing Normal University, 100875, Beijing, China



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摘要
摘要:选取黑龙江省北部边境24个县市为样带，基于1995、2015年2期土地利用/覆被数据，利用空间分析、多元线性回归和地理探测器等方法，从时空耦合角度对样带的土地利用变化的时空特征进行分析，并以林地-耕地转换为例，探索土地利用变化的驱动因素．结果表明：1)1995—2015年，样带以耕地面积增长、林地和未利用地面积减少为土地利用/土地覆被变化的主要特征．研究区中的大兴安岭区、小兴安岭区、三江平原区耕地面积的增加速度逐渐加快，相应林地和未利用地面积减少的速度逐渐加快．林地-耕地类型的转移是研究区土地利用变化的主要类型，空间上集中分布在三江平原和小兴安岭北部的农林交错区；2)相对于自然资源因素，社会经济因素对农林交错区的林地-耕地转移的影响更大，主要受人口增长、产量增收和经济效益提高的影响；3)根据不同区域林耕转换的主导因素与驱动机制差异，将林地-耕地转移的典型县市划分为人口主导型、产量主导型和经济效益主导型3种地域类型．
关键词:土地利用时空变化/
驱动因素/
北方边境样带/
地理探测器/
黑龙江
Abstract:Land use change and its driving factors can be assessed to provide some guide for sustainable development in the border region．Land use change and land cover data in 24 selected counties in the northern border transect of Heilongjiang in 1995 and 2015 were subject to spatial analysis, multiple linear regression and geodetector method, to dissect the spatial-temporal characteristics of land use changes．Forest-cultivation land use change and major driving factors are studied．Land use and land cover in the northern border region showed significant changes from 1995 to 2015, with increased cultivated land, decreased forest and unused land, from Daxing’an Mountains to Xiaoxing’an Mountains to Sanjiang Plain．Forest-cultivation land use change was the main type and mainly distributed in Sanjiang Plain and the northern part of Xiaoxing’an Mountains．Forest-cultivation land use change was driven by many factors．In comparison with natural factors, socio-economic factors (urban population, grain yield, chemical fertilizer use and primary industry) were found to be more important．Taken into account of the different driving factors and dynamic mechanism in forest-cultivation land use change, typical counties can be divided into urbanization leading regions affected by urban population, agriculture oriented regions affected by grain yield and fertilizer utilization, industry constrained regions affected by primary industry．
Key words:spatial-temporal land use change/
driving factors/
northern border transect/
Geodetector/
Heilongjiang Province