1990—2020年滇中城市群耕地非农化时空变化特征及驱动机制

杨玉钱; 彭双云; 吕铭皓; 陈晓弟; 郭秀

doi:10.13870/j.cnki.stbcxb.2024.03.021

您当前的位置：

首页 >

文章列表页 >

1990—2020年滇中城市群耕地非农化时空变化特征及驱动机制

更新时间：2025-03-12

- 1990—2020年滇中城市群耕地非农化时空变化特征及驱动机制
- Spatial and Temporal Changes and Driving Mechanism of Cultivated Land Conversion in Central Yunnan Urban Agglomeration from 1990 to 2020
- 水土保持学报 2024年38卷第3期页码：239-251
- 作者机构：
  
  1. 云南师范大学地理学部,昆明,650500
  2. 西部资源环境地理信息学技术教育部工程研究中心,昆明,650500
- 作者简介：
  
  [ "杨玉钱(2000—),男,云南红河人,硕士研究生,主要从事土地利用变化的生态环境效应研究。E-mail:2669172543@qq.com" ]
- 基金信息：
  
  国家自然科学基金项目(42261073,41971369,42261037,42171392);云南省中青年学术和技术带头人后备人才项目(202305AC160083,202205AC160014);云南省基础研究专项重点项目(202201AS070024,202001AS070032);云南省基础研究计划青年项目(202101AU070037);云南师范大学研究生科研创新基金项目(YJSJJ23-B146)
- DOI：10.13870/j.cnki.stbcxb.2024.03.021
  中图分类号： F301.2
- 纸质出版：2024
- 稿件说明：
移动端阅览
杨玉钱, 彭双云, 吕铭皓, 等. 1990—2020年滇中城市群耕地非农化时空变化特征及驱动机制[J]. 水土保持学报, 2024,38(3):239-251.

YANG Yuqian, PENG Shuangyun, LÜ Minghao, et al. Spatial and Temporal Changes and Driving Mechanism of Cultivated Land Conversion in Central Yunnan Urban Agglomeration from 1990 to 2020[J]. 2024, 38(3): 239-251.
杨玉钱, 彭双云, 吕铭皓, 等. 1990—2020年滇中城市群耕地非农化时空变化特征及驱动机制[J]. 水土保持学报, 2024,38(3):239-251. DOI： 10.13870/j.cnki.stbcxb.2024.03.021.

YANG Yuqian, PENG Shuangyun, LÜ Minghao, et al. Spatial and Temporal Changes and Driving Mechanism of Cultivated Land Conversion in Central Yunnan Urban Agglomeration from 1990 to 2020[J]. 2024, 38(3): 239-251. DOI： 10.13870/j.cnki.stbcxb.2024.03.021.

摘要

[目的] 通过分析滇中城市群30年耕地非农化的演变路径、时空变化特征及驱动机制

为滇中城市群耕地资源的保护及精准管理提供理论依据。[方法] 基于滇中城市群土地利用数据和统计年鉴数据

运用重心迁移模型、变化轨迹模型、空间自相关分析、主成分分析等方法揭示1990—2020年滇中城市群耕地非农化过程、空间分布特征及主要驱动因素。[结果] (1)从时间上看

滇中城市群耕地非农化面积呈波动下降趋势

2000年前后由年均增加约6.88×103 hm2转变为年平均减少约2.66×104 hm2

受政策、经济和城市化影响导致其变化最剧烈。从空间上看

耕地非农化集中分布于滇中城市群的中部、东部、东南部和东北部地区。(2)30年来

滇中城市群耕地非农化在空间分布上趋于均衡

区域间耕地非农化差异变小

空间格局趋于稳定。(3)滇中城市群耕地主要转出为林地和草地

少部分转化为建设用地

变化型耕地中有54.60%与草地相关

29.33%与林地相关

4.64%与建设用地相关

主要发生在滇中城市群的中部、北部、东南部和西北部的局部区域。(4)滇中城市群耕地非农化存在显著的空间聚集效应

以高—高聚集和低—低聚集为主

高—高聚集主要分布在中部、北部和东南部

低—低集聚主要分布在西北部、西部和西南部。(5)滇中城市群耕地非农化受社会经济和自然条件共同影响。社会经济中的农业人口、国有固定产投资和城市化率是耕地非农化最主要的驱动因素

影响系数分别为-0.18

0.11

0.10;而自然因素年平均降水量和年平均气温在耕地非农化空间分布和扩张过程起着关键性的作用

影响系数分别为0.17

-0.15。[结论] 研究结果揭示30年来滇中城市群耕地非农化的时空变化特征、演变路径及驱动机制。对合理利用和保护耕地资源

保障云南省粮食安全具有重要作用

在一定程度上可为滇中城市群的耕地保护和耕地布局优化提供决策参考。

Abstract

[Objective] By analyzing the evolution path

spatiotemporal variation characteristics

and driving mechanisms of farmland non agriculturalization in the central Yunnan urban agglomeration over the past 30 years

theoretical basis is provided for the protection and precise management of farmland resources in the central Yunnan urban agglomeration. [Methods] Based on the land use data and statistical yearbook data of the Central Yunnan urban agglomeration

the paper used methods such as gravity displacement model

change trajectory model

spatial autocorrelation analysis

and principal component analysis to reveal the process and spatial distribution characteristics of farmland conversion to non-agricultural uses in the Central Yunnan urban agglomeration from 1990 to 2020

as well as the main driving factors. [Results] (1) From a temporal perspective

the non-agricultural area of cultivated land in the central Yunnan urban agglomeration showed a fluctuating downward trend

with an average annual increase of about 6.88× 103 around 2000 hectares converted to an average annual decrease of approximately 2.66× 104 hectares

with the most drastic changes due to policy

economic

and urbanization impacts. From a spatial perspective

the non-agricultural conversion of cultivated land was concentrated in the central

eastern

southeastern

and northeastern regions of the central Yunnan urban agglomeration. (2) Over the past 30 years

the non-agricultural transformation of cultivated land in the central Yunnan urban agglomeration has tended to be balanced in spatial distribution

with smaller regional differences in the non-agricultural transformation of cultivated land and a more stable spatial pattern. (3) The cultivated land in the central Yunnan urban agglomeration was mainly converted into forests and grasslands

with a small portion converted into construction land. Among the variable cultivated land

54.60% was related to grasslands

29.33% was related to forests

and 4.64% was related to construction land

mainly occurring in the central

northern

southeastern

and northwestern regions of the central Yunnan urban agglomeration. (4) There was a significant spatial clustering effect in the non-agricultural transformation of cultivated land in the central Yunnan urban agglomeration

mainly characterized by high-high clustering and low-low clustering. High-high clustering was mainly distributed in the central

northern

and southeastern regions

while low-low clustering was mainly distributed in the northwest

western

and southwestern regions.(5) The non agriculturalization of cultivated land in the central Yunnan urban agglomeration was influenced by both socio-economic and natural conditions. The agricultural population

state-owned fixed asset investment

and urbanization rate were the main factors for the non-agricultural expansion of cultivated land in the social economy

with influencing coefficients of -0.18

0.11

and 0.10

respectively; The annual average precipitation and annual average temperature of natural factors played a crucial role in the spatial distribution and expansion process of non-agricultural land

with impact coefficients of 0.17 and -0.15

respectively. [Conclusion] The results have revealed the spatiotemporal change characteristics

evolution path

and driving mechanisms of farmland converted to non-agricultural land in the central Yunnan urban agglomeration over the past 30 years. It plays an important role in rational utilization and protection of arable land resources and ensuring food security in Yunnan province

and to a certain extent

it can provide a decision-making reference for the protection and optimization of arable land layout in the central Yunnan urban agglomeration.

关键词

Keywords

references

陈美招,张雅琪,郑荣宝,等.经济快速发展地区耕地非农化演变路径及异质性研究:以广州市黄埔区为例[J].资源开发与市场,2017,33(8):942-947,1000. CHEN M Z, ZHANG Y Q, ZHENG R B,et al. Research on evolution path and heterogeneity of cultivated land conversion in the rapid economic development area:A case study of Huangpu district, Guangzhou city[J].Resource Development and Market,2017,33(8):942-947,1000.

国务院办公厅关于严禁开发区和城镇建设占用耕地撂荒的通知[J].中华人民共和国国务院公报,1992(32):1429-1430. Notice of the general office of the state council on strictly prohibiting the occupation of farmland and abandonment in development zones and urban construction[J].State Council Communique of the People’s Republic of China,1992(32):1429-1430.

国务院办公厅关于坚决制止耕地"非农化"行为的通知[J].中华人民共和国国务院公报,2020(27):36-37. Notice of the general office of the state council on resolutely stopping the non agriculturalization of farmland[J].State Council Communique of the People’s Republic of China,2020(27):36-37.

黄祖辉,李懿芸,毛晓红.我国耕地"非农化""非粮化"的现状与对策[J].江淮论坛,2022(4):13-21. HUANG Z H, LI Y Y, MAO X H. The situation, drivers and countermeasures of "non-agricultural" and "non-grain" transformation of cultivated land in China[J].Jiang-huai Tribune,2022(4):13-21.

张孝宇,张安录.武汉市耕地非农化的空间自相关分析[J].长江流域资源与环境,2015,24(5):781-788. ZHANG X Y, ZHANG A L. Small-scale spatial patterns of farmland conversion based on autocorrelation analysis in Wuhan city[J].Resources and Environment in the Yangtze Basin,2015,24(5):781-788.

左岍,周勇,李晴,等.鄂西南地区土地利用格局时空变化及轨迹特征分析[J].水土保持学报,2022,36(1):161-169. ZUO Y, ZHOU Y, LI Q, et al. Analysis of spatial and temporal changes and trajectory characteristics of land use pattern in the southwest Hubei[J].Journal of Soil and Water Conservation,2022,36(1):161-169.

袁晓妮,鲁春阳,吕开云,等.我国耕地非农化研究进展及展望[J].中国农业资源与区划,2019,40(1):128-133. YUAN X N, LU C Y,LÜ K Y, et al. Research progress and prospect of non-agriculturalization of arable land in China[J].Chinese Journal of Agricultural Resources and Regional Planning,2019,40(1):128-133.

严冬梅.武汉市郊区耕地保护与耕地非农化驱动因素分析[D].武汉:华中农业大学,2006. YAN D M. Cultivated land protection and analysis of the driving forces of land non-agriculture in Wuhan suburb[D].Wuhan:Huazhong Agricultural University,2006.

李泳君,陈青长,方贺,等.基于多尺度地理加权回归的长江流域植被时空演化及其影响因素的空间异质性研究.中国环境科学,1-13. https://doi.org/10.19674/j.cnki.issn1000-6923.20230911.001. LI Y J, CHEN Q C, FANG H, etc. Spatial heterogeneity of vegetation evolution and its influencing factors in the Yangtze river basin based on multi-scale geographical weighted regression[J].Chinese Environmental Science: 1-13. https://doi.org/10.19674/j.cnki.issn1000-6923.20230911.001.

李宏鹏,田达睿,谭静斌.延安市2000—2020年耕地非农化时空格局演变及其影响因素[J].水土保持通报,2022,42(4):330-337,372. LI H P, TIAN D R, TAN J B. Spatio-temporal pattern evolution and influencing factors of cultivated land non-agriculturalization in Yan’an city[J].Bulletin of Soil and Water Conservation,2022,42(4):330-337,372.

刘少坤,王嘉佳,林树高,等.广西边境地区耕地非农化的空间特征与迁移路径[J].中国农业资源与区划,2022,43(10):162-173. LIU S K, WANG J J, LIN S G, et al. The spatial features and migration path of cultivated land non-agriculturalization in the border areas of Guangxi Zhuang autonomous region[J].Chinese Journal of Agricultural Resources and Regional Planning, 2022,43(10):162-173.

林伊琳,赵俊三,张萌,等.滇中城市群国土空间格局识别与时空演化特征分析[J].农业机械学报,2019,50(8):176-191. LIN Y L, ZHAO J S, ZHANG M, et al. Identification of territory space pattern and spatio-temporal evolution analysis of urban agglomeration in central Yunnan[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(8):176-191.

潘悦,王锦,李婧熹,等.滇中城市群绿色空间生态系统服务价值时空演变及驱动分析[J].水土保持研究,2023,30(2):352-360. PAN Y, WANG J, LI J X, et al. Spatial and temporal evolution and driving analysis of green space ecosystem service value of urban agglomeration in central Yunnan[J].Research of Soil and Water Conservation,2023,30(2):352-360.

YANG J, HUANG X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J].Earth System Science Data,2021,13(8):3907-3925.

王冶,薛忠财,王瑞丰,等.1990—2017年承德市水源涵养功能时空变化格局与影响因素研究[J].生态与农村环境学报,2022,38(9):1138-1146. WANG Y, XUE Z C, WANG R F, et al. Spatial and temporal patterns of water retention and its influencing factors in Chengde city from 1990 to 2017[J].Journal of Ecology and Rural Environment,2022,38(9):1138-1146.

李晖,冯莉,聂芹,等.基于稳定映射变化轨迹分析的厦门土地利用时空演化[J].生态学杂志, 2016,35(8):2132-2143. LI H, FENG L, NIE Q, et al. Spatio-temporal pattern analysis of land use change trajectories based on stability mapping in Xiamen[J].Chinese Journal of Ecology,2016,35(8):2132-2143.

燕玲玲,巩杰,徐彩仙,等.子午岭地区土壤保持服务时空变化及其影响因素[J].水土保持学报,2021,35(1):188-197. YAN L L, GONG J, XU C X,et al. Spatiotemporal variations and influencing factors of soil conservation service in Ziwuling area[J].Journal of Soil and Water Conservation,2021,35(1):188-197.

汪东川,张威,王志恒,等.拉西瓦水电站建设对区域景观格局与生境质量的影响[J].水土保持学报,2021,35(3):200-205. WANG D C, ZHANG W, WANG Z H, et al. Impact of laxiwa hydropower station construction on the regional landscape pattern and habitat quality[J].Journal of Soil and Water Conservation,2021,35(3):200-205.

丁书培,李蒙蒙,汪小钦,等.基于时序遥感数据的福州市耕地非农化特征及驱动因子分析[J].遥感技术与应用,2022,37(3):550-563. DING S P, LI M M, WANG X Q, et al. The use of time series remote sensing data to analyze the characteristics of non-agriculture farmland and their driving factors in Fuzhou[J].Remote Sensing Technology and Application,2022,37(3):550-563.

云南省统计局.云南统计年鉴[M].北京:中国统计出版社,2020. Yunnan Provincial Bureau of Statistics. Yunnan statistical yearbook[M].Beijing: China Statistical Publishing House,2020.

许健玮.吉林省耕地非农化驱动因素研究[D].长春:吉林大学,2020. XU J W. Study on the driving factors of famland non farming in Jilin province[D]. Changchun:Jilin University, 2020.

黄天能,许进龙.近40年来广西耕地非农化的时空演变特征、成因与对策[J].中国农业资源与区划,2023,44(10):40-51. HUANG T N, XU J L. The characteristics, causes and countermeasures of spstial-temporal evolution of Guangxi cultivated land deagrriculturalization in the past 40 years [J].Chinese Agricultural Resources and Regionalization,2023,44(10):40-51.

张光宏,崔许锋.耕地资源非农化驱动机制及其区域差异性[J].中国农业科学,2015,48(8):1632-1640. ZHANG G H, CUI X F.Driving mechanism and regional differentiation of cultivated land non-agricultural-transformation[J].Chinese Agricultural Science,2015,48(8):1632-1640.

冉凤维,罗志军,章磊.2000—2015年南昌市土地利用变化及驱动力分析[J].江西农业大学学报,2017,39(4):834-842. RAN F W, LUO Z J, ZHANG L. An analysis of the changes in land use and their driving forces in Nanchang city from 2000 to 2015[J].Acta Agriculturae Universitatis Jiangxiensis,2017,39(4):834-842.

朱闯.2001—2017年中国耕地时空变化特征及其驱动因素研究[D].天津:天津工业大学,2020. ZHU C. Research on the spatiotemporal variation characteristics and driving factors of cultivated land in China from 2001 to 2017[D].Tianjin :Tianjin University of Technology,2020.

浏览量

409

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

海涂围垦区土壤孔隙特征与强度特性原位试验

基于MDS的滇池流域5种典型林分土壤质量评价

喀斯特槽谷区侵蚀坡面的土壤质量评价及障碍因子

再生水灌溉对草坪土壤速效养分及盐碱化的效应

黄河三角洲土地利用/覆盖格局与演化分析