[1]鲁亚楠,姚顺波*.基于经济和政策双重作用的南方集体林区土地利用时空变化[J].南京林业大学学报(自然科学版),2018,42(05):163-171.[doi:10.3969/j.issn.1000-2006.201710023]
 LU Yanan,YAO Shunbo*.Spatial-temporal dynamic characteristics for land use of the southern collective forest region based on the function of economy and policy[J].Journal of Nanjing Forestry University(Natural Science Edition),2018,42(05):163-171.[doi:10.3969/j.issn.1000-2006.201710023]
点击复制

基于经济和政策双重作用的南方集体林区土地利用时空变化
分享到:

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
42
期数:
2018年05期
页码:
163-171
栏目:
研究论文
出版日期:
2018-09-15

文章信息/Info

Title:
Spatial-temporal dynamic characteristics for land use of the southern collective forest region based on the function of economy and policy
文章编号:
1000-2006(2018)05-0163-09
作者:
鲁亚楠姚顺波*
西北农林科技大学经济管理学院,西北农林科技大学资源经济与环境管理研究中心,陕西 杨凌 712100
Author(s):
LU Yanan YAO Shunbo*
College of Economics and Management, Center for Resource Economics and Environment Management, Northwest Agriculture and Forestry University, Yangling 712100, China
关键词:
南方集体林区 土地利用变化 时空特征 转移矩阵
Keywords:
southern collective forest region land use change spatial-temporal characteristic transfer matrix
分类号:
X192; S717
DOI:
10.3969/j.issn.1000-2006.201710023
文献标志码:
A
摘要:
【目的】探究南方集体林区的土地利用类型在经济和政策双重作用下的演变特点,加深了解南方集体林区生态环境的变化路径。【方法】以福建、江西、四川、重庆等为代表的10省1市1980、2000、2015 共3期的集体林区遥感影像为基础数据源,以转移矩阵为基础,结合土地利用动态度、土地转变倾向度等指标对南方集体林区土地利用的动态特征进行分析。【结果】1980—2015年,林地、耕地、草地是南方集体林区最主要的3种土地利用类型,其中耕地和草地占比逐阶段减小,林地占比逐阶段增大,其变化速度都有加快趋势:前20年林地面积占比增加了0.09%,耕地、草地分别减少了0.43%和0.07%; 而后15年林地面积占比增加了0.18%,耕地、草地面积分别减少了0.93%和0.56%; 研究区年变化率最显著的地类是城乡建设用地(3.27%),年变化率最不明显的地类是林地(0.02%); 南方集体林区综合土地利用动态度为0.42%,各土地利用类型的土地利用动态度均呈现出前期慢后期快的变化趋势。【结论】近35年间,耕地和城乡建设用地主导了研究区土地利用的净变化,林地主导了研究区土地利用空间位置的变化。受经济和政策等因素的影响,以2000年为分界点,研究区土地利用类型变化速率明显加快,耕地、草地面积减少,林地面积少量增加。
Abstract:
【Objective】 Exploring the evolutional characteristics of land use types under the function of economy and policy, especially in the southern collective forest region, plays a critical role in understanding the ecological and environmental changes. 【Method】Based on land use datasets, we established a land use transfer matrix and land use amount models(such as land use degree changes, dynamic degree of land use change, etc.)to analyze the dynamic characteristics of land use in the southern collective forest region with reference to the Landsat images of 10 provinces(autonomous region)and one metropolis in 1980, 2000 and 2015, including Fujian, Jiangxi, Sichuan and Chongqing. 【Result】Forest land, cultivated land and grassland were the three main types of land use in the southern collective forest region from 1980 to 2015. Cultivated land and grassland area actually reduced year-by-year, while forest land area increased. The transition rates of the three land use types showed an accelerating trend change as follows. In the first 20 years, woodland area increased by 0.09%, while cultivated land and grassland decreased by 0.43% and 0.07%, respectively. Cultivated land area has not increased significantly because of the implementation of the Household Contract System. During the last 15 years, the proportion of woodland area increased by 0.18%, cultivated land and grassland saw a decrease of 0.93% and 0.56%, respectively. Forest land area has not increased significantly due to the implementation of reforms in the tenure of farm land to forest and collective forest systems. During the entire study period, the most significant land use type annual change rate is construction land, while the most insignificant land use type is forest land. The comprehensive land use dynamic degree of the southern collective forest region was 0.42%. The land use dynamic of all kinds of land use types presented that early change was slow while later change was rapid. 【Conclusion】Over the last 35 years, cultivated land and construction land dominated the net change of land use in the study area, while forest land dominated the change in spatial location. Affected by economic and policy factors, with 2000 as the demarcation point, the rate of change in land use types significantly accelerated in the study area, while area under cultivated land and grassland decreased, and forest land increased slightly.

参考文献/References:

[1] 韩会庆,罗绪强,蔡广鹏. 山地城市园地时空变化及对生态服务价值的影响[J]. 南京林业大学学报(自然科学版), 2017, 41(1): 103-108. DOI:10.3969/j.issn.1000-2006.2017.01.016.
HAN H Q,LUO X Q, CAI G P. Spatio-temporal changes of garden land from 2000 to 2010 in mountainous city and their effects on ecosystem service value[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2017, 41(1): 103-108.
[2] LONG H, QU Y. 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
[3] 韩会庆,杨广斌,张凤太. 基于地貌特征的贵州省土地利用时空变化分析[J]. 南京林业大学学报(自然科学版), 2015, 39(5): 99-105. DOI:10.3969/j.issn.1000-2006.2015.05.016.
HAN H Q,YANG G B,ZHANG F T. Spatio-temporal analysis of land use changes in Guizhou Province based on landform characteristics[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2015, 39(5): 99-105.
[4] 刘纪远,张增祥,庄大方,等. 20世纪90年代中国土地利用变化时空特征及其成因分析[J]. 地理研究, 2003, 22(1): 1-12. DOI:10.11821/yj2003010001.
LIU J Y,ZHANG Z X,ZHUANG D F,et al. A study on the spatial-temporal dynamic changes of land-use and driving forces analyses of China in the 1990s[J]. Geographical Research,2003,22(1): 1-11.
[5] 邓红兵,王英明,张巧显,等. 江西省土地利用变化及其驱动力定量研究[J]. 江西农业大学学报, 2006, 28(6): 933-938. DOI:10.3969/j.issn.1000-2286.2006.06.029.
DENG H B,WANG Y M,ZHANG Q X,et al. Quantitative analysis on change in land use and its driving forces in Jiangxi Province[J]. Acta Agriculturae Universitatis Jiangxiensis,2006,28(6): 932-938.
[6] 陈颖彪,周倩仪,陈健飞. 近30年广州市土地覆被变化时空特征分析[J]. 地理科学, 2009, 29(3): 368-374. DOI:10.3969/j.issn.1000-0690.2009.03.010.
CHEN Y B,ZHOU Q Y,CHEN J F. Spatial-temporal characteristics of land use and cover change in Guangzhou City in the past 30 years[J]. Scientia Geographica Sinica,2009, 29(3): 368-373.
[7] 俞凌欣. 1949年以来中国农村发展回顾与展望[J]. 农业展望, 2013(12): 25-30. DOI:10.3969/j.issn.1673-3908.2013.12.006.
YU L X. Retrospect and prospect of China's rural development since 1949[J]. Agricultural Outlook,2013(12):25-30.
[8] 刘璨,张永亮,赵楠,等. 集体林权制度改革发展现状、问题及对策[J]. 林业经济, 2017(7): 3-14. DOI:10.13843/j.cnki.lyjj.2017.07.002.
LIU C,ZHANG Y L,ZHAO N,et al. The status, issues and countermeasures for the reform of collective forestland tenure system in China[J]. Forestry Economics,2017(7):3-22.
[9] MAS J F, KOLB M, PAEGELOW M, et al. Inductive pattern-based land use/cover change models: a comparison of four software packages[J]. Environmental Modelling & Software, 2014, 51(1): 94-111. DOI:10.1016/j.envsoft.2013.09.010.
[10] Y L J, L L M, F Z D, et al. Study on spatial pattern of land-use change in China during 1995—2000[J]. Science in China(Series D:Earth Sciences), 2003, 46(4): 373-384. DOI:10.1360/03yd9033.
[11] 刘纪远,匡文慧,张增祥,等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 2014, 69(1): 3-14. DOI:10.11821/dlxb201401001.
LIU J Y,KUANG W H,ZHANG Z X,et al. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s[J]. Journal of Geographical Sciences,2014,69(1):3-14.
[12] 郭玉静,王妍,郑毅,等. 1990—2015年剑湖流域土地利用变化动态及趋势预测[J]. 西南林业大学学报, 2016, 36(6): 87-93. DOI:10.11929/j.issn.2095-1914.2016.06.014.
GUO Y J, WANG Y, ZHENG Y, et al. The dynamic changes and simulating prediction of land use in Jianhu Lake basin from 1990 to 2015[J]. Journal of Southwest Forestry University,2016,36(6):87-93.
[13] 邓彦,沈海燕,王佩,等. 近30 a瀛湖流域土地利用时空变化的遥感分析[J]. 人民长江, 2017, 48(13): 16-19. DOI:10.16232/j.cnki.1001-4179.2017.13.004.
DENG Y,SHENG H Y,WANG P,et al. Research on energy saving operation of pumping station under condition of sediment flow[J]. Yangtze River,2017,48(13):16-19.
[14] 杨静,庄家尧,张金池. 基于RS和GIS的徐州市20年间土地利用变化研究[J]. 南京林业大学学报(自然科学版),2013, 37(2): 85-91. DOI:10.3969/j.issn.1000-2006.2013.02.015.
YANG J,ZHUANG J Y,ZHANG J C. Study on the change of land use in the Xuzhou city based on RS and GIS[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2013, 37(2): 85-91.
[15] 刘瑞,朱道林. 基于转移矩阵的土地利用变化信息挖掘方法探讨[J]. 资源科学, 2010, 32(8): 1544-1550.
LIU R,ZHU D L. Methods for detecting land use changes based on the land use transition matrix[J]. Resources Science,2010,32(8):1544-1550.
[16] 朱会义,李秀彬. 关于区域土地利用变化指数模型方法的讨论[J]. 地理学报, 2003, 58(5): 643-650. DOI:10.3321/j.issn:0375-5444.2003.05.001.
ZHU H Y,LI X B. Disscussion on the index method of regional land use change[J]. Journal of Geographical Sciences,2003,58(5):643-650.
[17] 宋歌,王金朔,何立恒,等. 基于CLUE-S模型的西部干旱区土地利用变化情景模拟[J]. 南京林业大学学报(自然科学版), 2013, 37(3): 135-139. DOI:10.3969/j.issn.1000-2006.2013.03.024.
SONG G,WANG J S,HE L H,et al. Simulation of land use change in western arid region under different scenarios based on the CLUE-S model[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2013, 37(3): 135-139.
[18] 李晨曦,吴克宁,査理思. 京津冀地区土地利用变化特征及其驱动力分析[J]. 中国人口·资源与环境, 2016, 26(5): 252-255.
LI C X,WU K N,ZHA L S. Research on land use change characteristics and driving forces in Beijing,Tianjin and Hebei Region[J]. China Population,Resources and Environment,2016,26(5):252-255.
[19] ALDWAIK S Z, JR R G P. Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition[J]. Landscape & Urban Planning, 2012, 106(1): 103-114. DOI:10.1016/j.landurbplan.2012.02.010.
[20] 丁茜,付梅臣,王力. 基于转移矩阵的重庆市北碚区土地利用变化分析[J]. 江苏农业科学, 2017, 45(12): 198-204. DOI:10.15889/j.issn.1002-1302.2017.12.051.
DING Q,FU M C,WANG L. Land use change in Beibei district in Chongqing based on the land use transfer matrix[J]. Jiangsu Agricultural Sciences,2017,45(12):198-204.
[21] TURNER B L, SKOLE D, SANDERSON S. Land use and land cover change[J]. Ambio,1992, 21(1): 122-123.

备注/Memo

备注/Memo:
收稿日期:2017-10-19 修回日期:2018-03-04 基金项目:国家林业公益性行业科研专项项目(201504424); 国家自然科学基金项目(71473195) 第一作者:鲁亚楠(1294744560@qq.com)。*通信作者:姚顺波(yaoshunbo@163.com ),教授。
更新日期/Last Update: 2018-09-15