“生产—生活—生态”空间(即“三生”空间)冲突定量研究能够为构建高质量发展的国土空间格局提供理论支撑。基于1990、2000、2010和2020年四期土地利用遥感监测数据,采用转移矩阵和空间冲突综合指数模型,对湖北省“三生”空间冲突演化特征进行分析,并进一步采用GWR和地理探测器模型对“三生”空间冲突演化影响因素进行探究,结果显示:①湖北省“三生”空间分布格局整体上保持一致,其结构呈现出生产空间减少、生活空间和生态空间增加的趋势,以农业生产空间减少、工业生产空间和城镇生活空间增加最为显著。②研究期内湖北省“三生”空间平均冲突水平由0.63上升到0.67,且呈现出明显的地域差异;较弱及弱空间冲突占主体地位,较强和强空间冲突增加最为显著,集聚程度不断提高,由点状零星分布发展到面状集聚分布,表明局部地区人类干扰活动持续增强。③土地利用强度、坡度、距地市中心距离、人口密度、路网密度和高程是湖北省“三生”空间冲突分异的主要影响因素,其影响效应具有明显的空间异质性,且不同地貌类型区各因子交互作用增强效应差异显著。未来湖北省应在深入实施主体功能区战略和新型城镇化战略的基础上,结合“三生”空间冲突主导影响因素制定差异化的空间管制措施,促进“三生”空间合理布局和融合发展。
The quantitative study of spatial conflicts of production-living-ecological space(PLES) can provide theoretical support for the construction of a new pattern of territorial space development and protection,and provide a scientific basis for regional sustainable development. Based on the remote sensing monitoring data of land use change/cover in Hubei Province from 1990 to 2020,this paper uses land use transfer matrix to analyze the spatio-temporal evaluation and structural transform characteristics of PLES,and identifies the main driving factors of PLES spatial conflict and the spatial heterogeneity by using the geographically weighted regression (GWR) model and the geodetector model. The results show that: 1) The distribution patterns of PLES are basically the same and remain consistent as a whole in 1990,2000,2010,and 2020. The production space and the ecological space are mainly dominated by agricultural production space,and forestland ecological space respectively,presenting an aggregated distribution. The living space is mainly dominated by rural living space,presenting a dotted distribution. The largest increase is industrial production space and the largest reduction is agricultural production space. 2) During the study period,the average spatial conflict level of PLES in Hubei Province increases from 0.63 to 0.67,showing obvious regional differences. The weak and weaker spatial conflicts levels are dominant. The high and higher spatial conflict levels show an aggregated distribution and agglomeration continues to increase,presenting a development trend from dotted dispersed distribution to contiguous agglomeration distribution. The spatial conflict levels increase due to the increased landscape fragmentation and complexity. 3) The land use intensity,slope,distance to city center,population density,road density and elevation are the main factors influencing PLES spatial conflict at the 4 km×4 km grid scale in Hubei Province. There is a certain difference in the spatial variability of each independent variable. The influence degree of each factor on PLES spatial conflict is different,and the most influential factor is land use intensity. The interaction between two factors displays bi-factor enhancement and nonlinear enhancement,presenting that the influence of two factors is stronger than a single factor,and there is no independent factors. In the future,it should formulate differentiated spatial governance measures in combination with the leading influencing factors based on the in-depth implementation of the main functional zone strategy and the new urbanization strategy,so as to promote the rational layout and integrated development of PLES.
[1] Deng Y X,Yang R.Influence mechanism of production-living-ecological space changes in the urbanization process of Guangdong province,China[J]. Land,2021,10(12):1357.
[2] 刘彦随. 中国新时代城乡融合与乡村振兴[J]. 地理学报,2018,73(4):637-650.
[3] 黄金川,林浩曦,漆潇潇. 面向国土空间优化的三生空间研究进展[J]. 地理科学进展,2017,36(3):378-391.
[4] 江东,林刚,付晶莹. “三生”空间统筹的科学基础与优化途径探析[J]. 自然资源学报,2021,36(5):1085-1101.
[5] Liu Y S,Li J T,Yang Y Y.Strategic adjustment of land use policy under the economic transformation[J]. Land Use Policy,2018,74:5-14.
[6] 刘继来,刘彦随,李裕瑞. 中国“三生空间”分类评价与时空格局分析[J]. 地理学报,2017,72(7):1290-1304.
[7] 杨清可,段学军,王磊,等. 基于“三生”空间的土地利用转型与生态环境效应:以长江三角洲核心区为例[J]. 地理科学,2018,38(1):97-106.
[8] Kalabamu F T.Land tenure reforms and persistence of land conflicts in Sub-Saharan Africa-the case of Botswana[J]. Land Use Policy,2019,81:337-345.
[9] Campbell D J,Gichohi H,Mwangi A,et al.Land use conflict in Kajiado District,Kenya[J]. Land Use Policy,2000,17(4):337-348.
[10] Brown G,Raymond C M.Methods for identifying land use conflict potential using participatory mapping[J]. Landscape and Urban Planning,2014,122:196-208.
[11] 周国华,彭佳捷. 空间冲突的演变特征及影响效应——以长株潭城市群为例[J]. 地理科学进展,2012,31(6):717-723.
[12] 廖李红,戴文远,陈娟,等. 平潭岛快速城市化进程中三生空间冲突分析[J]. 资源科学,2017,39(10):1823-1833.
[13] Chen Y,Su X Y,Wang X K.Spatial transformation characteristics and conflict measurement of production-living-ecology:evidence from urban agglomeration of China[J]. International Journal of Environmental Research and Public Health,2022,19(3):1458.
[14] Zhou D,Lin Z L,Lim S H.Spatial characteristics and risk factor identification for land use spatial conflicts in a rapid urbanization region in China[J]. Environmental Monitoring and Assessment,2019,191(677):1-22.
[15] 赵旭,汤峰,张蓬涛,等. 基于CLUE-S模型的县域生产—生活—生态空间冲突动态模拟及特征分析[J]. 生态学报,2019,39(16):5897-5908.
[16] Xiao P N,Xu J,Zhao C.Conflict identification and zoning optimization of production-living-ecological space[J]. International Journal of Environmental Research and Public Health,2022,19(13):7990.
[17] 朱媛媛,余斌,曾菊新,等.国家限制开发区“生产—生活—生态”空间的优化:以湖北省五峰县为例[J].经济地理,2015,35(4):26-32.
[18] Xi F R,Wang R P,Shi J S,et al.Spatio-temporal pattern and conflict identification of production-living-ecological space in the Yellow River Basin[J]. Land,2022,11(5):744.
[19] Lin G,Fu J Y,Jiang D.Production-living-ecological conflict identification using a multiscale integration model based on spatial suitability analysis and sustainable development evaluation:A case study of Ningbo,China[J]. Land,2021,10(4):383.
[20] Yu S H,Deng W,Xu Y X,et al.Evaluation of the production-living-ecology space function suitability of Pingshan County in the Taihang mountainous area,China[J]. Journal of Mountain Science,2020,17(10):2562-2576.
[21] Liang T,Du P,Yang F,et al.Potential land-use conflicts in the urban center of Chongqing based on the production-living-ecological space perspective[J]. Land,2022,11(9):1415.
[22] 王建英,邹利林,李梅凎. 基于“三生”适宜性的旅游度假区潜在土地利用冲突识别与治理[J]. 农业工程学报,2019,35(24):279-288.
[23] 王检萍,余敦,卢一乾,等. 基于“三生”适宜性的县域土地利用冲突识别与分析[J]. 自然资源学报,2021,36(5):1238-1251.
[24] 匡文慧,张树文,杜国明,等. 2015—2020年中国土地利用变化遥感制图及时空特征分析[J]. 地理学报,2022,77(5):1056-1071.
[25] 孔冬艳,陈会广,吴孔森. 中国“三生”空间演变特征、生态环境效应及其影响因素[J]. 自然资源学报,2021,36(5):1116-1135.
[26] 张红旗,许尔琪,朱会义. 中国“三生用地”分类及其空间格局[J]. 资源科学,2015,37(7):1332-1338.
[27] Yu Z X,Xu E Q,Zhang H Q,et al.Spatio-temporal coordination and conflict of production-living-ecology land functions in the Beijing-Tianjin-Hebei Region,China[J]. Land,2020,9(5):170.
[28] 周德,徐建春,王莉. 环杭州湾城市群土地利用的空间冲突与复杂性[J]. 地理研究,2015,34(9):1630-1642.
[29] Zhang Z H,Su S L,Xiao R,et al.Identifying determinants of urban growth from a multi-scale perspective:A case study of the urban agglomeration around Hangzhou Bay,China[J]. Applied Geography,2013,45:193-202.
[30] 耿甜伟,陈海,张行,等. 基于GWR的陕西省生态系统服务价值时空演变特征及影响因素分析[J]. 自然资源学报,2020,35(7):1714-1727.
[31] 王劲峰,徐成东. 地理探测器:原理与展望[J]. 地理学报,2017,72(1):116-134.
[32] 杨忍. 中国县域城镇化的道路交通影响因素识别及空间协同性解析[J]. 地理科学进展,2016,35(7):806-815.
[33] 刘传明,曾菊新. 县域综合交通可达性测度及其与经济发展水平的关系:对湖北省79个县域的定量分析[J]. 地理研究,2011,30(12):2209-2221.
[34] Song J,Meng J J,Zhu L K,et al.Spatial-temporal pattern of land use conflict in China and its multilevel driving mechanisms[J]. Science of The Total Environment,2021,801:149697.
[35] 王越,李炆颖,曾先,等. 沈阳经济区土地利用要素性冲突空间多尺度作用机理[J]. 经济地理,2022,42(3):231-239.