Frequency Distribution and Driving Factors of Land Use Changes in Guizhou Province

Xie Lijun; Yang Guangbin; Wang Renru; Yang Li

doi:10.13961/j.cnki.stbctb.2024.04.034

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Frequency Distribution and Driving Factors of Land Use Changes in Guizhou Province

- Frequency Distribution and Driving Factors of Land Use Changes in Guizhou Province
- Bulletin of Soiland Water Conservation Vol. 44, Issue 4, Pages: 330-339(2024)
- 作者机构：
  
  贵州师范大学地理与环境科学学院,贵州,贵阳,550025
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.04.034
  CLC： {F301.5}
- Published：2024
- 稿件说明：
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Xie Lijun, Yang Guangbin, Wang Renru, et al. Frequency Distribution and Driving Factors of Land Use Changes in Guizhou Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(4): 330-339.
DOI：

Xie Lijun, Yang Guangbin, Wang Renru, et al. Frequency Distribution and Driving Factors of Land Use Changes in Guizhou Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(4): 330-339. DOI： 10.13961/j.cnki.stbctb.2024.04.034.

摘要

[目的] 研究贵州省土地利用动态转移变化频数的空间格局及驱动因素，为该区土地调查工作与相关政策提供理论参考。[方法] 基于2000—2020年贵州省土地利用数据，采用土地利用变化频数统计、核密度分析、空间自相关性等方法分析贵州省土地利用变化频率的时空分布特征，并借助地理探测器对其影响因素进行研究。[结果] ①贵州省2000—2020年土地利用变化频数中土地发生变化的面积仅为2%，但资金和人力的投入却相对较高，因此两者的投入关系极不协调。②贵州省2000—2020年土地利用变化频数中已变化的土地在空间分布上具有显著的空间异质性。③贵州省2000—2020年已变化土地核密度结果呈现“西高东低”的分布特征，土地变化1次的分布密度最大，土地变化3次的分布密度最小。④贵州省2000—2020年已变化土地和未变化土地皆呈显著空间集聚特征，已变化热点区域为赫章、大方等，未变化热点区域为威宁、从江等地区。⑤2000—2020年贵州省土地利用变化频数驱动因素的交互探测结果显示，坡度和坡向的交互作用对贵州省土地利用变化频数空间分异的解释力最强。[结论] 贵州省土地利用变化频率分布具有显著的空间异质性，应建立贵州省土地利用变化频数监管机制，实现有效利用社会资源和减轻社会财政负担。

Abstract

[Objective] The spatial patterns and driving factors of the frequency of land-use dynamic transfer changes in Guizhou Province were analysed in order provide theoretical references for land survey work and related policies in the region. [Methods] Based on the land-use data of Guizhou Province from 2000 to 2020

the spatial and temporal distribution characteristics of the frequency of land-use change in Guizhou Province were analysed using land-use change frequency statistics

kernel density analysis

and spatial autocorrelation

and the influencing factors were studied using geographic probes. [Results] ① The area of land changed in the land use change frequency in Guizhou Province from 2000 to 2020 was only 2%

but the inputs of capital and manpower were relatively high; as a result

there was a relationship between the two inputs and discordance. ② The land that changed in land-use change frequency in Guizhou Province from 2000 to 2020 had significant spatial heterogeneity in spatial distribution. ③ The kernel density of changed land in Guizhou Province from 2000 to 2020 showed the distribution characteristic of “higher in the west and lower in the east”

with the distribution density of one land change being the largest and the distribution density of three land changes being the smallest. ④ In 2000 to 2020

both changed and unchanged land in Guizhou Province showed significant spatial agglomeration characteristics

with changed hotspots in areas such as

Hezhang

and Dafang and unchanged hotspots in areas such as Xianning and Congjiang area. ⑤ The results of the interaction detection of the driving factors of land-use change frequency in Guizhou Province from 2000 to 2020 showed that the interaction of slope and slope direction had the strongest explanatory power for the spatial variation in land-use change frequency in Guizhou Province. [Conclusion] An obvious spatial heterogeneity exists in the distribution of land-use change frequency in Guizhou Province. A mechanism to regulate the frequency of land-use change in Guizhou Province should be established to realise the effective use of social resources and reduce the financial burden on society.

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references

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