基于土地利用变化的贵州省耕地显性边际化时空演变及其影响因素

冯应斌; 杨溪源

doi:10.13961/j.cnki.stbctb.2023.06.032

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基于土地利用变化的贵州省耕地显性边际化时空演变及其影响因素

试验研究

- 基于土地利用变化的贵州省耕地显性边际化时空演变及其影响因素
- Spatial-temporal Evolution and Influencing Factors of Dominant Marginalization of Cultivated Land in Guizhou Province Based on Land Use Change
- 水土保持通报 2023年43卷第6期页码：263-271
- 作者机构：
  
  贵州财经大学公共管理学院,贵州,贵阳,550025
- 作者简介：
- 基金信息：
  
  教育部人文社会科学青年项目“山区耕地边际化的破解思路及其政策响应机制研究：以贵州省为例”（22YJCZH030）;贵州财经大学2022年度在校学生科研项目“山区耕地边际化时空演变特征及影响机制研究”（2022ZXSY104）
- DOI：10.13961/j.cnki.stbctb.2023.06.032
  中图分类号： F301.21
- 纸质出版：2023
- 稿件说明：
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冯应斌, 杨溪源. 基于土地利用变化的贵州省耕地显性边际化时空演变及其影响因素[J]. 水土保持通报, 2023,43(6):263-271.

Feng Yingbin, Yang Xiyuan. Spatial-temporal Evolution and Influencing Factors of Dominant Marginalization of Cultivated Land in Guizhou Province Based on Land Use Change[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 263-271.
冯应斌, 杨溪源. 基于土地利用变化的贵州省耕地显性边际化时空演变及其影响因素[J]. 水土保持通报, 2023,43(6):263-271. DOI： 10.13961/j.cnki.stbctb.2023.06.032.

Feng Yingbin, Yang Xiyuan. Spatial-temporal Evolution and Influencing Factors of Dominant Marginalization of Cultivated Land in Guizhou Province Based on Land Use Change[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 263-271. DOI： 10.13961/j.cnki.stbctb.2023.06.032.

摘要

[目的] 探究贵州省2010—2020年耕地显性边际化的时空演变格局及其影响因素，为山区耕地集约利用提供政策指导。[方法] 综合运用土地利用转移矩阵、空间自相关模型和地理探测器，系统分析贵州省耕地显性边际化的总体态势、空间集聚效应以及相关影响因素。[结果] ①2010—2020年，贵州省耕地显性边际化率为10.20%，总体以自然边际化为主，但经济边际化发展较为迅速，并随着经济社会发展，耕地显性边际化速度不断加快。②贵州省2010—2020年，耕地显性边际化水平整体呈现出南高北低的格局并逐渐向西部和东南部扩张的趋势，其中2010—2015年呈现出南高北低格局，2015—2020年呈现中部高四周低格局。③人均耕地面积、城镇化率、植被覆盖度等因素是贵州省耕地显性边际化空间差异的主要影响因素。[结论] 贵州省耕地显性边际化时空演变差异性显著，地势起伏度、坡度、植被覆盖度等自然条件是影响耕地显性变化时空差异性的基础特征，人均耕地面积、城镇化率与GDP密度等社会经济因素是其快速发展的主要推动力。

Abstract

[Objective] The spatial-temporal evolution pattern and influencing factors of the dominant marginalization of cultivated land in Guizhou Province from 2010 to 2020 were analyzed in order to provide policy guidance for the intensive use of cultivated land in mountainous areas. [Methods] A land use transfer matrix

spatial autocorrelation model

and geographic detector were comprehensively used to systematically determine the overall situation

spatial agglomeration effect

and related influencing factors of the dominant marginalization of cultivated land in Guizhou Province. [Results] ① The dominant marginalization rate of cultivated land in Guizhou Province during 2010-2020 was 10.20%. In general

natural marginalization was the main factor

but economic marginalization developed rapidly. With economic and social development

the dominant marginalization rate of cultivated land continued to accelerate. ② The dominant marginalization level of cultivated land in Guizhou Province during 2010-2020 generally showed a pattern characterized as "higher in the south

lower in the north

and gradually expanding to the west and southeast". During 2010-2015

the pattern was characterized as "higher in the south and lower in the north". Duging 2015-2020

the pattern was "higher in the middle surrounded by lower". ③ Per capita cultivated land area

urbanization rate

vegetation coverage

and other factors were the main influencing factors of the spatial difference in the marginalization of cultivated land in Guizhou Province. [Conclusion] The temporal and spatial evolution of the dominant marginalization of cultivated land in Guizhou Province exhibited significant differences. Natural conditions such as elevation

slope

and vegetation coverage were the basic characteristics of the temporal and spatial differences in the dominant marginalization of cultivated land. Socio-economic factors

such as per capita cultivated land area

urbanization rate

GDP density

etc. were the main driving force behind the rapid development rate of the dominant marginalization of cultivated land.

关键词

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references

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