[1]段丁琪,张浩哲,饶 洁,等.1990—2015年四川盆地农地时空演变特征及其驱动因素[J].山地学报,2024,(3):334-346.[doi:10-16089/j.cnki.1008-2786.000827]
　DUAN Dingqi,ZHANG Haozhe,RAO Jie,et al.Spatial-Temporal Evolution of Agricultural Land and Driving Forces in Sichuan Basin, China, 1990-2015[J].Mountain Research,2024,(3):334-346.[doi:10-16089/j.cnki.1008-2786.000827]
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1990—2015年四川盆地农地时空演变特征及其驱动因素
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2024年第3期
页码:
334-346
栏目:
山地环境
出版日期:
2024-05-25

文章信息/Info

Title:
Spatial-Temporal Evolution of Agricultural Land and Driving Forces in Sichuan Basin, China, 1990-2015
文章编号:
1008-2786-(2024)3-334-13
作者:
段丁琪1; 张浩哲2; 饶 洁1; 徐月航1; 唐 强1*
(1.西南大学 a.地理科学学院; b.重庆金佛山喀斯特生态系统国家野外科学观测研究站,重庆 400715; 2.中国科学院、水利部成都山地灾害与环境研究所 山地表生过程与生态调控重点实验室,成都 610299)
Author(s):
DUAN Dingqi1;  ZHANG Haozhe2;  RAO Jie1;  XU Yuehang1;  TANG Qiang1*
(1. a. School of Geographical Sciences; b. Chongqing Jinfo Mountain Kast Ecosystem National Observation and Research Station, Southwest University, Chongqing 400715, China; 2. Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610299, China)
关键词:
农地;  时空演变;  驱动机制;  最优参数地理探测器;  四川盆地
Keywords:
agricultural land;  spatial-temporal change;  driving factor;  optimal parameters-based geographical detector model;  Sichuan basin
分类号:
F323.211
DOI:
10-16089/j.cnki.1008-2786.000827
文献标志码:
A
摘要:
四川盆地是中国自然地域单元和粮食主产区。20世纪以来,区域社会-生态系统变迁驱动农地利用规模和结构发生变化,而农地利用的时空演变特征及其驱动因素尚不明晰。本文利用1990、2000、2010和2015年土地利用数据和社会经济统计数据,结合空间分析和最优参数地理探测器模型,分析四川盆地农地的时空演变特征,探究不同时期社会经济驱动过程。结果表明:(1)1990—2015年,农地面积减少1859.91 km2,呈现阶段性变化特征。其中,1990—2010年,农地变化以内部转移为主,大量旱地和水田转变为园地,部分农地转为林地与建设用地; 2010—2015年,农地呈现集中转变为建设用地的趋势。(2)川东北地区园地面积显著增加,城市中心与主干道附近建设用地面积明显增长,林地面积增加集中于平行岭谷地带,其空间聚集效应均表现为高-高聚集或低-低聚集特征。农地内部转移、农地向建设用地和林地的转变具有明显的空间分异特征和聚集效应。(3)2000—2010年间,农业劳动力与造林面积百分比是农地变化的主要驱动因素,因子间的交互作用多表现为非线性增强; 2010—2015年间,GDP是农地变化的主要驱动因素,因子间交互作用表现为双因子增强解释程度更高。研究结论可为区域国土空间规划和农业可持续发展提供决策参考。
Abstract:
Sichuan basin is a geographical unit and a major grain-producing region in China. Although since the 20th century, changes in the regional socio-ecological system had influenced the scale and structure of agricultural land, the spatial and temporal evolution of agricultural land and its driving factors remain unclear. In this paper, it used land-use data and socio-economic statistics in 1990, 2000, 2010 and 2015, combined with spatial analysis and optimal parameters-based geographical detector(OPGD)model, to analyze the spatio-temporal evolution characteristics of agricultural land in Sichuan basin, and explored the socioeconomic driving process over years.
(1)Between 1990 and 2015, the total area of agricultural land in the Sichuan basin decreased by 1859.91 km2, exhibiting phased changes. From 1990 to 2010, changes in agricultural land were dominated by internal transfers, with significant conversions of drylands and paddy fields to orchards, along with agricultural land being transferred to woodland and construction land. From 2010 to 2015, agricultural land exhibited a significant transition trend to construction land.
(2)There was a notable increase in orchards in northeastern Sichuan, a marked rise in construction land near urban centers and main roads, and a concentration of woodland expansion in the parallel ridge-valley belt. These spatial aggregation phenomena manifested as either high-high or low-low aggregations. The internal transfer of agricultural land, as well as its conversion to construction land and woodland, exhibited clear spatial differentiation and aggregation phenomena.
(3)From 2000 to 2010, the agricultural labor force and the percentage of afforestation area were the primary driving factors of agricultural land-use change, with the interactions among factors predominantly exhibiting non-linear enhancement. From 2010 to 2015, GDP emerged as the main driving factor of agricultural land transfer, and the interactions among factors demonstrated a higher degree of two-factor enhancement in their explanatory power.
This study provides valuable references for decision-making in territorial spatial planning and sustainable agricultural development.

参考文献/References:

[1] 马恩朴, 叶玮怡, 龙花楼, 等. 城市食物系统全程耦合下的农地利用转型[J]. 地理学报, 2023, 78(12): 3058-3077. [MA Enpu, YE Weiyi, LONG Hualou, et al. Agricultural land use transition under the metacoupling framework of urban food system [J]. Acta Geographica Sinica, 2023, 78(12): 3058-3077] DOI: 10.11821/dlxb202312009
[2] JIN Jianjun, JIANG Chong, LI Lun. The economic valuation of cultivated land protection: A contingent valuation study in Wenling city, China [J]. Landscape and Urban Planning, 2013, 119: 158-164. DOI: 10.1016/j.landurbplan.2013.06.010
[3] 李升发, 李秀彬. 耕地撂荒研究进展与展望[J]. 地理学报, 2016, 71(3): 370-389. [LI Shengfa, LI Xiubin. Progress and prospect on farmland abandonment [J]. Acta Geographica Sinica, 2016, 71(3): 370-389] DOI: 10.11821/dlxb201603002
[4] DENG Xiangzheng, HUANG Jikun, ROZELLE S, et al. Impact of urbanization on cultivated land changes in China [J]. Land Use Policy, 2015, 45: 1-7. DOI: 10.1016/j.landusepol.2015.01.007
[5] TAN Yongzhong, CHEN Hang, XIAO Wu, et al. Influence of farmland marginalization in mountainous and hilly areas on land use changes at the county level [J]. Science of the Total Environment, 2021, 794: 149576. DOI: 10.1016/j.scitotenv.2021.149576
[6] LONG Hualou, QU Yi. Land use transitions and land management: A mutual feedback perspective [J]. Land Use Policy, 2018, 74: 111-120. DOI: 10.1016/j.landusepol.2017.03.021
[7] 龙花楼, 曲艺, 屠爽爽, 等. 城镇化背景下中国农区土地利用转型及其环境效应研究:进展与展望[J]. 地球科学进展, 2018, 33(5): 455-463. [LONG Hualou, QU Yi, TU Shuangshuang, et al. Land use transitions under urbanization and their environmental effects in the farming areas of China: Research progress and prospect [J]. Advances in Earth Science, 2018, 33(5): 455-463] DOI: 10.11867/j.issn.1001-8166.2018.05.0455
[8] 龚建周, 夏北成. 1990年以来广州市土地覆被景观的时空梯度分异[J]. 地理学报, 2007, 62(2): 181-190. [GONG Jianzhou, XIA Beicheng. Temporal-spatial grading diversification of land-cover at landscape level in Guangzhou since 1990 [J]. Acta Geographica Sinica, 2007, 62(2): 181-190] DOI: 10.3321/j.issn:0375-5444.2007.02.007
[9] 卢曦. 关于耕地占补平衡相关问题的思考与建议——基于湖南“两个占补平衡”实践[J]. 中国土地, 2021(5): 42-43. [LU Xi. Reflections and suggestions on issues related to balancing the occupancy and compensation of cultivated land based on the practice of “balancing the occupancy and compensation of two cultivated areas” in Hunan [J]. China Land, 2021(5): 42-43] DOI: 10.13816/j.cnki.ISSN1002-9729.2021.05.14
[10] 刘纪远, 张增祥, 徐新良, 等. 21世纪初中国土地利用变化的空间格局与驱动力分析[J]. 地理学报, 2009, 64(12): 1411-1420. [LIU Jiyuan, ZHANG Zengxiang, XU Xinliang, et al. Spatial patterns and driving forces of land use change in China in the early 21st century [J]. Acta Geographica Sinica, 2009, 64(12): 1411-1420] DOI: 10.3321/j.issn:0375-5444.2009.12.001
[11] 陈瑞卿, 陶建斌, 徐猛. 近20年来江汉平原耕地种植强度的空间格局[J]. 中国农业信息, 2018, 30(3): 63-73. [CHEN Ruiqing, TAO Jianbin, XU Meng. Spatial patterns of cropping intensity on the Jianghan plain over recent 20 years [J]. China Agricultural Informatics, 2018, 30(3): 63-73] DOI: 10.12105/j.issn.1672-0423.20180306
[12] LI Xiaoliang, WU Kening, YANG Qijun, et al. Quantitative assessment of cultivated land use intensity in Heilongjiang province, China, 2001–2015 [J]. Land Use Policy, 2023, 125: 106505. DOI: 10.1016/j.landusepol.2022.106505
[13] MA Li, LONG Hualou, TU Shuangshuang, et al. Farmland transition in China and its policy implications [J]. Land Use Policy, 2020, 92: 104470. DOI: 10.1016/j.scitotenv.2019.135132
[14] 王文旭, 曹银贵, 苏锐清, 等. 我国耕地变化驱动力研究进展: 驱动因子与驱动机理[J]. 中国农业资源与区划, 2020, 41(7): 21-30. [WANG Wenxu, CAO Yingui, SU Ruiqing, et al. Driving forces of cultivated land change in China: Driving facrors and driving mechanism [J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(7): 21-30] DOI: 10.7621/cjarrp.1005-9121.20200703
[15] 梁鑫源, 李阳兵. 三峡库区规模农地时空变化特征及其驱动机制[J]. 地理学报, 2018, 73(9): 1630-1646. [LIANG Xinyuan, LI Yangbing. Spatio-temporal features of scaling farmland and its corresponding driving mechanism in Three Gorges Reservoir Area [J]. Acta Geographica Sinica, 2018, 73(9): 1630-1646] DOI: 10.11821/dlxb201809002
[16] 申杨, 龚健, 李晓丹, 等. 武汉城市圈耕地利用变化驱动机制研究[J]. 中国土地科学, 2023, 37(8): 123-133. [SHEN Yang, GONG Jian, LI Xiaodan, et al. Driving mechanism and policy implications of cultivated land use change in Wuhan metropolitan area [J]. China Land Science, 2023, 37(8): 123-133] DOI: 10.11994/zgtdkx.20230804.163543
[17] 李丹, 周嘉, 战大庆. 黑龙江省耕地时空变化及驱动因素分析[J]. 地理科学, 2021, 41(7): 1266-1275. [LI Dan, ZHOU Jia, ZHAN Daqing. Spatial and temporal changes and driving factors of cultivated land in Heilongjiang province [J]. Scientia Geographica Sinica, 2021, 41(7): 1266-1275] DOI: 10.13249/j.cnki.sgs.2021.07.017
[18] 崔家兴, 靳涵, 罗滢渊, 等. 县域耕地非农化、非粮化与乡村人口空心化的耦合协调关系研究——以长江经济带为例[J]. 生态学报, 2024, 44(5): 1822-1836. [CUI Jiaxing, JIN Han, LUO Yingyuan, et al. Non-agricultural transformation and non-grain production and their coordinated relationships with rural population hollowing: A case study of Yangtze River Economic Belt [J]. Acta Ecologica Sinica, 2024, 44(5): 1822-1836] DOI: 10.20103/j.stxb.202304010643
[19] 顾莉丽, 郭庆海. 中国粮食主产区的演变与发展研究[J]. 农业经济问题, 2011, 32(8): 4-9. [GU Lili, GUO Qinghai. Evolution and development of China’s major grain producing areas [J]. Issues in Agricultural Economy, 2011, 32(8): 4-9] DOI: 10.13246/j.cnki.iae.2011.08.003
[20] ZENG Yi, RAN Lishan, FANG Nufang, et al. How to balance green and grain in marginal mountainous areas? [J]. Earth’s Future, 2022, 10(5): e2021EF002552. DOI: 10.1029/2021ef002552
[21] 聂小军, 苏艳艳. 川中丘陵区紫色土坡耕地土壤侵蚀特征[J]. 生态环境学报, 2012, 21(4): 682-686. [NIE Xiaojun, SU Yanyan. Characteristics of soil erosion on sloping farmlands in a purple soil hilly region of the Sichuan Basin [J]. Ecology and Environmental Sciences, 2012, 21(4): 682-686] DOI: 10.16258/j.cnki.1674-5906.2012.04.020
[22] 王兆林, 杨庆媛. 西南地区农村投资水平和农地利用效率对农民农业收入影响分析——以重庆市为例[J]. 经济地理, 2012, 32(8): 124-130. [WANG Zhaolin, YANG Qingyuan. The empirical study on the response offarmer’s agricultural income to rural investment and agricultural land use efficiency of southwest China: A case study of Chongqing [J]. Economic Geography, 2012, 32(8): 124-130] DOI: 10.15957/j.cnki.jjdl.2012.08.025
[23] 刘珍环, 杨鹏, 吴文斌, 等. 近30年中国农作物种植结构时空变化分析[J]. 地理学报, 2016, 71(5): 840-851. [LIU Zhenhuan, YANG Peng, WU Wenbin, et al. Spatio-temporal changes in Chinese crop patterns over the past three decades [J]. Acta Geographica Sinica, 2016, 71(5): 840-851] DOI: 10.11821/dlxb201605012
[24] 罗新蕊, 杨武年, 陈桃. 川中丘陵区植被遥感动态监测及其驱动力分析[J]. 长江流域资源与环境, 2019, 28(1): 103-111. [LUO Xinrui, YANG Wunian, CHEN Tao. Dynamic monitoring of vegetation and its driving force analysis using remote sensing in hilly area of central Sichuan province [J]. Resources and Environment in the Yangtze Basin, 2019, 28(1): 103-111] DOI: 10.11870/cjlyzyyhj201901011
[25] TANG Qiang, BAO Yuhai, HE Xiubin, et al. Farmer’s adaptive strategies on land competition between cocietal outcomes and agroecosystem conservation in the purple-soiled hilly region, southwestern China [J]. Journal of Mountain Science, 2012, 9(1): 77-86. DOI: 10.1007/s11629-012-2201-4
[26] LEI Guangbin, LI Ainong, BIAN Jinhu, et al. Land cover mapping in southwestern China using the HC-MMK approach [J]. Remote Sensing, 2016, 8(4): 305. DOI: 10.3390/rs8040305
[27] 国家林业和草原局. 中国林业统计年鉴[M/OL]. 北京: 中国林业出版社 [2018- 09-11]. https://www.forestry.gov.cn/c/www/lcgk.jhtml [China Forestry and Grassland Administration. China forestry statistic yearbook [M/OL]. Beijing: China Forestry Publishing House [2018- 09-11]. https://www.forestry.gov.cn/c/www/lcgk.jhtml]
[28] 四川省统计局. 四川省统计年鉴[M/OL]. 北京:中国统计出版社 [2016- 09-21]. https://tjj.sc.gov.cn/scstjj/c105855/nj.shtml [Sichuan Provience Bureau of Statistics. Sichuan provience statistic yearbook [M/OL]. Beijing: China Statistics Press [2016- 09-21]. https://tjj.sc.gov.cn/scstjj/c105855/nj.shtml]
[29] 重庆市统计局. 重庆市统计年鉴[M/OL]. 北京: 中国统计出版社 [2016- 08-11]. https://tjj.cq.gov.cn/zwgk_233/tjnj/ [Chongqing Bureau of Statistics. Chongqing statistic yearbook [M/OL]. Beijing: China Statistics Press [2016- 08-11]. https://tjj.cq.gov.cn/zwgk_233/tjnj/]
[30] 国家统计局. 中国县域统计年鉴(县市卷)[M/OL]. 北京: 中国统计出版社 [2017- 03-15]. https://www.stats.gov.cn/ [China Bureau of Statistics. China statistic yearbook(county-level)[M/OL]. Beijing: China Statistics Press [2017- 03-15]. https://www.stats.gov.cn/]
[31] 孙俊, 潘玉君, 和瑞芳, 等. 地理学第一定律之争及其对地理学理论建设的启示[J]. 地理研究, 2012, 31(10): 1749-1763. [SUN Jun, PAN Yujun, HE Ruifang, et al. The enlightenment of geographical theories construction from the First Law of Geography and its debates [J]. Geographical Research, 2012, 31(10): 1749-1763] DOI: 10.11821/yj2012100002
[32] 孙晓晨, 焦菊英, 王红雷, 等. 河湟谷地1980-2020年土地利用变化及其冷热点分布[J]. 水土保持通报, 2022, 42(1): 327-334. [SUN Xiaochen, JIAO Juying, WANG Honglei, et al. Land use change and cold-hot spot distribution in Hehuang valley from 1980 to 2020 [J]. Bulletin of Soil and Water Conservation, 2022, 42(1): 327-334] DOI: 10.13961/j.cnki.stbctb.2022.01.043
[33] WU Xutong, LIU Jianguo, FU Bojie, et al. Integrating multiple influencing factors in evaluating the socioeconomic effects of payments for ecosystem services [J]. Ecosystem Services, 2021, 51: 101348. DOI: 10.1016/j.ecoser.2021.101348
[34] 苏康传, 杨庆媛, 张佰林, 等. 山区农村土地利用转型与小农经济变迁耦合机理[J]. 地理研究, 2019, 38(2): 399-413. [SU Kangchuan, YANG Qingyuan, ZHANG Bailin, et al. The coupling mechanism of rural land use transition and small-scale peasant economy change in mountainous areas [J]. Geographical Research, 2019, 38(2): 399-413] DOI: 10.11821/dlyj020180060
[35] 张婕, 刘玉洁, 张二梅, 等. 中国县域耕地动态演变及其驱动机制[J]. 地理学报, 2023, 78(9): 2105-2127. [ZHANG Jie, LIU Yujie, ZHANG Ermei, et al. Dynamics and driving mechanisms of cultivated land at county level in China [J]. Acta Geographica Sinica, 2023, 78(9): 2105-2127] DOI: 10.11821/dlxb202309001
[36] 许庆, 尹荣梁, 章辉. 规模经济、规模报酬与农业适度规模经营——基于我国粮食生产的实证研究[J]. 经济研究, 2011, 46(3): 59-71+94. [XU Qing, YIN Rongliang, ZHANG Hui. Economies of scale, returns to scale and the problem of optimum-scale farm management: An empirical study based on grain production in China [J]. Economic Research, 2011, 46(3): 59-71+94] DOI: CNKI:SUN:JJYJ.0.2011-03-006
[37] 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. [WANG Jinfeng, XU Chengdong. Geodetector: Principle and perspective [J]. Acta Geographica Sinica, 2017, 72(1): 116-134] DOI: 10.11821/dlxb201701010
[38] 孙黄平, 黄震方, 徐冬冬, 等. 泛长三角城市群城镇化与生态环境耦合的空间特征与驱动机制[J]. 经济地理, 2017, 37(2): 163-170+186. [SUN Huangping, HUANG Zhenfang, XU Dongdong, et al. The spatial characteristics and driving mechanisms of coupling relationship between urbanisation and eco-environment in the PanYangtze River delta [J]. Economic Geography, 2017, 37(2): 163-170+186] DOI: 10.15957/j.cnki.jjdl.2017.02.022
[39] 刘彦随, 李进涛. 中国县域农村贫困化分异机制的地理探测与优化决策[J]. 地理学报, 2017, 72(1): 161-173. [LIU Yanshu, LI Jintao. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China [J]. Acta Geographica Sinica, 2017, 72(1): 161-173] DOI: 10.11821/dlxb201701013
[40] SONG Yongze, WANG Jinfeng, GE Yong, et al. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data [J]. GIScience & Remote Sensing, 2020, 57(5): 593-610. DOI: 10.1080/15481603.2020.1760434
[41] 叶初升, 马玉婷. 新中国农业结构变迁70年: 历史演进与经验总结[J]. 南京社会科学, 2019(12): 1-9+33. [YE Chusheng, MA Yuting. Agricultural structural change of new China in the past 70 years: Historical evolution and experience summary [J]. Nanjing Journal of Social Sciences, 2019(12): 1-9+33] DOI: 10.15937/j.cnki.issn 1001-8263.2019.12.001
[42] 李慧, 魏兴萍, 蔡云丽, 等. 重庆石漠化和非石漠化区植被绿度时空变化特征[J]. 水土保持学报, 2024, 38(3): 1-10. [LI Hui, WEI Xingping, CAI Yunli, et al. Spatial and temporal variation characteristics of vegetation greenness in rocky desertification and non-rocky desertification areas of Chongqing [J]. Journal of Soil and Water Conservation, 2024, 38(3): 1-10] DOI: 10.13870/j.cnki.stbcxb.2024.03.037
[43] WU Yuzhe, HUI E C M, ZHAO Pengjun, et al. Land use policy for urbanization in China [J]. Habitat International, 2018, 77: 40-42. DOI: 10.1016/j.habitatint.2018.05.008
[44] 王谢, 杨巧, 曾其国, 等. 1999—2018年四川省耕地时空格局演化特征[J]. 中国农学通报, 2021, 37(26): 110-116. [WANG Xie, YANG Qiao, ZENG Qiguo, et al. Spatial-temporal pattern evolution of cultivated land in Sichuan province from 1999 to 2018 [J]. Chinese Agricultural Science Bulletin, 2021, 37(26): 110-116] DOI: 10.11924/j.issn.1000-6850.casb2021-0473
[45] SONG Fengjiao, WANG Shijie, BAI Xiaoyong, et al. A new indicator for global food security assessment: Harvested area rather than cropland area [J]. Chinese Geographical Science, 2022, 32(2): 204-217. DOI: 10.1007/s11769-022-1264-6
[46] ZHANG Pengyan, YANG Dan, QIN Mingzhou, et al. Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future urban land intensive use [J]. Land Use Policy, 2020, 99: 104958. DOI: 10.1016/j.landusepol.2020.104958

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　FAN Hejuan,LAI Fengbing*,CAO Jiarui,et al.Spatio-temporal Evolution and Ecological Risk Prediction of Landslide Landscape in the Tianshan Wild Fruit Forest Area[J].Mountain Research,2020,(3):231.[doi:10.16089/j.cnki.1008-2786.000505]
[2]甘 露a,b,刘 睿a,等.四川省极端降水事件时空演变特征[J].山地学报,2021,(1):10.[doi:10.16089/j.cnki.1008-2786.000572]
　GAN Lua,b,LIU Ruia,et al.Spatio-Temporal Evolution Characteristicsof Extreme Precipitation in Sichuan Province, China[J].Mountain Research,2021,(3):10.[doi:10.16089/j.cnki.1008-2786.000572]
[3]贾语非,王秀荣*.贵阳市花溪区2008—2018年景观生态风险时空动态[J].山地学报,2023,(2):180.[doi:10.16089/j.cnki.1008-2786.000740]
　JIA Yufei,WANG Xiurong*.Spatio-Temporal Dynamics of Landscape Ecological Risks in Huaxi District of Guiyang City, Guizhou, China(2008-2018)[J].Mountain Research,2023,(3):180.[doi:10.16089/j.cnki.1008-2786.000740]
[4]李涛辉,张文翔*,吕爱锋,等.云南省农业生长季热量资源的时空特征[J].山地学报,2023,(3):361.[doi:10.16089/j.cnki.1008-2786.000754 ]
　LI Taohui,ZHANG Wenxiang*,LYU Aifeng,et al.Temporal and Spatial Characteristics of Heat Resources in Growing Season in Yunnan Province, China[J].Mountain Research,2023,(3):361.[doi:10.16089/j.cnki.1008-2786.000754 ]
[5]周达宝a,b,徐丽婷a,等.脱贫地区乡村振兴水平时空演变及障碍因子——以江西罗霄山区为例[J].山地学报,2024,(1):81.[doi:10.16089/j.cnki.1008-2786.000806]
　ZHOU Dabaoa,b,XU Litinga,et al.Spatio-Temporal Evolution of Rural Revitalization Level and Its Obstacle Factors in Poverty-Alleviation Regions: A Case Study of the Luoxiao Mountains Region in Jiangxi Province, China[J].Mountain Research,2024,(3):81.[doi:10.16089/j.cnki.1008-2786.000806]
[6]程 佳,方世明*.大别山区乡村地域多功能时空演变及其耦合协调度[J].山地学报,2024,(4):496.[doi:10.16089/j.cnki.1008-2786.000840]
　CHENG Jia,FANG Shiming*.Spat-Temporal Evolution of Multi-Functionality of Rural Regionsin the Dabie Mountains Areas in China and Its Coupling Coordination Degree[J].Mountain Research,2024,(3):496.[doi:10.16089/j.cnki.1008-2786.000840]

备注/Memo

备注/Memo:
收稿日期(Received date): 2023-12- 05; 改回日期(Accepted date):2024- 05-20
基金项目(Foundation item): 西南大学先导计划青年团队项目(SWU-XDJH202306); 西南大学研究生科研创新项目(SWUS23070)。[Special Fund for Youth Team of Southwest University(SWU-XDJH202306); Postgraduate Innovative Research Project of Southwest University(SWUS23070)]
作者简介(Biography): 段丁琪(1998-),女,甘肃兰州人,硕士研究生,研究方向:土地利用变化。[DUAN Dingqi(1998-), female, born in Lanzhou, Gansu province, M.Sc. candidate, research on land use change] E-mail: ddq0810@email.swu.edu.cn
*通讯作者(Corresponding author): 唐强(1985-),男,博士,教授,研究方向:土壤侵蚀与生态修复。[TANG Qiang(1985-), male, Ph.D., professor, research on soil erosion and ecological restoration] E-mail: qingtang@swu.edu.cn
更新日期/Last Update: 2024-05-30