1. 广州大学 地理科学与遥感学院,广东,广州,510006
2. 湖南省第二测绘院,湖南,长沙,410000
纸质出版:2022
移动端阅览
林彤, 冯兆华, 吴大放, 等. 基于FLUS模型的喀斯特地区生态用地时空变化及多情景预测——以湖南省宁远县为例[J]. 水土保持通报, 2022,42(2):219-227.
Lin Tong, Feng Zhaohua, Wu Dafang, et al. Spatial-temporal Changes and Multi-scenario Prediction of Ecological Land in Karst Area Based on FLUS Model —A Case Study in Ningyuan County, Hunan Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 219-227.
林彤, 冯兆华, 吴大放, 等. 基于FLUS模型的喀斯特地区生态用地时空变化及多情景预测——以湖南省宁远县为例[J]. 水土保持通报, 2022,42(2):219-227. DOI: 10.13961/j.cnki.stbctb.2022.02.030.
Lin Tong, Feng Zhaohua, Wu Dafang, et al. Spatial-temporal Changes and Multi-scenario Prediction of Ecological Land in Karst Area Based on FLUS Model —A Case Study in Ningyuan County, Hunan Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(2): 219-227. DOI: 10.13961/j.cnki.stbctb.2022.02.030.
[目的
]
分析近2000—2020年喀斯特地区生态用地数量分布特征,预测未来多情景下生态用地变化情况,寻求协调生态保护与发展建设的最优情景,为研究区未来国土空间开发保护,生态空间管控以及区域生态经济可持续发展提供科学参考。[方法
]
采用土地利用转移矩阵和动态度分析湖南省宁远县土地利用变化特点,基于FLUS模型,模拟预测2030年不同情景下生态用地数量及分布。[结果
]
①耕地主要集中在宁远县中部区域,林地、草地原生态用地主要分布在南北两端和西部。2020年,原生态用地中,林地所占比例为56.69%,草地所占比例为12.85%,水域为0.60%,半人工生态用地即耕地所占比例为27.80%。②多情景模拟结果显示:生态优先情景下,宁远县原生态用地中林地、草地、水域分别较2020年增加了15.12,37.35,23.67 hm
2
。③政策对喀斯特地区生态用地变化有着极大的导向作用,社会经济发展对水域的增加有显著影响。[结论
]
宁远县原生态用地所占比例高达70.14%。生态保护优先情景能够最大程度保障生态用地不被非生态用地侵占。在以建设森林城市为目标导向的情况下,宁远县及同类地区适宜采用该情景进行城市发展。
[Objective] The quantity and distribution characteristics of ecological land in the karst area during 2000—2020 were analyzed and the changes in ecological land based on multi-scenario decisions in the future were predicted to seek the optimal scenario and coordinate ecological protection and development
in order to provide a theoretical foundation for the future land space development and protection
ecological space management and regional eco-economic sustainable development of the study area. [Methods] The land use transfer matrix and dynamic degree model was used to analyze the land-use change characteristics at Ningyuan County
Hunan Province. The FLUS (future land use simulation) model was used to simulate and predict the quantity and distribution of ecological land under different scenario decisions in 2030. [Results] ① Cultivated land was mainly concentrated in the central area of Ningyuan County
and the original ecological land of forest land and grassland was mainly distributed in the north
south
and west. Among the natural ecological land in 2020
forest land accounted for 56.69%
grassland for 12.85%
and water area for 0.60%
and semi-artificial ecological land of cultivated land
accounted for 27.80%. ② Under the ecological protection priority scenario
the forest land
grassland
and water area increased by 15.12
37.35
and 23.67 hm2
respectively
compared with those in 2020. ③ The policy had a significant regulating effect on the change of ecological land in the karst area
and socioeconomic development had a significant impact on water area increase. [Conclusion] The proportion of original ecological land in Ningyuan County is as high as 70.14%. The priority scenario of ecological protection ensures that ecological land is not occupied by non-ecological land at the maximum extent. This scenario is suitable for the urban development of Ningyuan County or the similar areas under the goal of building a forest city.
费建波,夏建国,胡佳,等.生态空间与生态用地国内研究进展[J].中国生态农业学报(中英文),2019,27(11):1626-1636.
喻锋,李晓波,张丽君,等.中国生态用地研究:内涵、分类与时空格局[J].生态学报,2015,35(14):4931-4943.
中共中央国务院.关于印发《全国国土规划纲要(2016—2030年)》的通知[EB/OL] (2017-02-04)[2021-11-15].http://www.gov.cn/zhengce/content/2017-02/04/content_5165309.htm.
Carter R E, Mackenzie M D, Gjerstad D H. Ecological land classification in the Southern Loam Hills of South Alabama [J]. Forest Ecology and Management, 1999,114(2/3):395-404.
Klijn F, Haes H A U. A Hierarchical approach to ecosystems and its implications for ecological land classification [J]. Landscape Ecology, 1994,9(2):89-104.
Dale V H, Brown S, Haeuber R A, et al. Ecological principles and guidelines for managing the use of land [J]. Ecological Applications, 2000,10(3):639-670.
Rowe J S, Sheard J W. Ecological Land classification: A survey approach [J]. Environmental Management, 1981,5(5):451-464.
Joanna B, Michael G, David S K, et al. A paradigm for protecting ecological resources following remediation as a function of future land use designations: A case study for the department of energy’s Hanford Site [J]. Environmental Monitoring and Assessment, 2020,192(3):1-29.
Banerji S, Biswas M, Mitra D. Semi-quantitative analysis of land use homogeneity and spatial distribution of individual ecological footprint in selected areas of Eastern fringes of Kolkata, West Bengal [J]. Geocarto International, 2020,35(1):1-21.
杨荣金,周申立,王兴贵.生态用地研究进展综述[J].中国环境管理干部学院学报,2011,21(2):33-35,63.
周朕,蒙吉军,齐杨,等.中国生态用地重要性及其格局优化研究进展[J].生态学杂志,2016,35(1):218-225.
邓红兵,陈春娣,刘昕,等.区域生态用地的概念及分类[J].生态学报,2009,29(3):1519-1524.
龙花楼,刘永强,李婷婷,等.生态用地分类初步研究[J].生态环境学报,2015,24(1):1-7.
邹利林,王建英,胡学东.中国县级“三生用地”分类体系的理论构建与实证分析[J].中国土地科学,2018,32(4):59-66.
张梦贤,周勇,曹隽隽,等.2000—2015年武汉市生态用地时空变化分析[J].中国农业资源与区划,2021,42(1):168-177.
尹娟,资本飞,阳利永,等.抚仙湖流域生态用地时空演变及其驱动因素[J].水土保持通报,2020,40(6):228-235,331.
关翠柳,闻德保,李雨豪,等.广东省1980—2018年“三生”用地转型对生态环境质量的影响[J].水土保持通报,2021,41(4):241-251.
高星,刘泽伟,李晨曦,等.基于“三生空间”的雄安新区土地利用功能转型与生态环境效应研究[J].生态学报,2020,40(20):7113-7122.
龚亚男,韩书成,时晓标,等.广东省“三生空间”用地转型的时空演变及其生态环境效应[J].水土保持研究,2020,27(3):203-209.
邓楚雄,彭勇,李科,等.基于生产—生态—生活空间多情景模拟下的流域土地利用转型及生态环境效应[J].生态学杂志,2021,40(8):2506-2516.
Widaningrum D L, Surjandari I, Sudiana D. Analyzing land-use changes in tourism development area: A case study of cultural world heritage sites in Java Island, Indonesia [J]. International Journal of Technology, 2020,11(4):688-697.
Li Zuzheng, Cheng Xiaoqin, Han Hairong. Analyzing land-use change scenarios for ecosystem services and their trade-offs in the ecological conservation area in Beijing, China [J]. International Journal of Environmental Research and Public Health, 2020,17(22):8632-8651.
Chen Zhanzhuo, Huang Min, Zhu Daoye, et al. Integrating remote sensing and a Markov-FLUS model to simulate future land use changes in Hokkaido, Japan [J]. Remote Sensing, 2021,13(13):2621-2643.
王旭,马伯文,李丹,等.基于FLUS模型的湖北省生态空间多情景模拟预测[J].自然资源学报,2020,35(1):230-242.
苏迎庆,刘庚,赵景波,等.基于FLUS模型的汾河流域生态空间多情景模拟预测[J].干旱区研究,2021,38(4):1152-1161.
冯源嵩,杨庆媛.喀斯特山地城市新区生态用地保护与开发案例研究:以金阳新区为例[J].中国岩溶,2013,32(4):453-461.
王志杰,程玉卓,班先娅,等.典型喀斯特山地城市生态空间格局演变研究:以贵阳市花溪区为例[J].西南大学学报(自然科学版),2020,42(9):155-164.
董顺舟,赵宇鸾,张蒙,等.贵州省生态用地的时空演变[J].贵州农业科学,2015,43(12):186-189.
焦露,薛哲进,尹剑,等.“三生空间”视角下喀斯特地区土地利用转型的生态环境效应:以贵州省为例[J].生态经济,2020,36(4):206-212.
顾羊羊,徐梦佳,杨悦,等.喀斯特石漠化区生态保护红线划定:以贵州省威宁县为例[J].生态学报,2021,41(9):3462-3474.
蒙吉军,王雅,王晓东,等.基于最小累积阻力模型的贵阳市景观生态安全格局构建[J].长江流域资源与环境,2016,25(7):1052-1061.
高梦雯,胡业翠,李向,等.基于生态系统服务重要性和环境敏感性的喀斯特山区生态安全格局构建:以广西河池为例[J].生态学报,2021,41(7):2596-2608.
李龙,吴大放,刘艳艳,等.生态文明视角下喀斯特地区“双评价”研究:以生态敏感区宁远县为例[J].自然资源学报,2020,35(10):2385-2400.
赖国华,胡宝清,李敏,等.桂西南—北部湾地区“三生”用地演变及其驱动力的地理探测[J].水土保持研究,2021,28(4):236-243.
Peng Jian, Zhao Mingyue, Guo Xiaonan, et al. Spatial-temporal dynamics and associated driving forces of urban ecological land: A Case Study in Shenzhen City, China [J]. Habitat International, 2017,60:81-90.
彭建,蔡运龙, P H Verburg.喀斯特山区土地利用/覆被变化情景模拟[J].农业工程学报,2007,118(7):64-70,292.
王磊,王羊,蔡运龙.土地利用变化的ANN-CA模拟研究:以西南喀斯特地区猫跳河流域为例[J].北京大学学报(自然科学版),2012,48(1):116-122.
周显芳.基于CLUE-S模型的喀斯特地区城镇用地时空动态模拟:以广西大化瑶族自治县为例[J].安徽农业科学,2011,39(34):21163-21166.
吕国屏,廖承锐,徐雁南,等.基于CA-Markov模型的喀斯特地区县域生态系统服务价值动态模拟[J].南京林业大学学报(自然科学版),2017,41(5):49-56.
宁远县人民政府.宁远概况[EB/OL]. (2020-06-04)[2021-11-15].http://www.nyx.gov.cn/nyx/jjfz/list.Shtml.
Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model(FLUS) for simulating multiple land use scenarios by coupling human and natural effects [J]. Landscape and Urban Planning, 2017,168(168):94-116.
永州市人民政府.永州市土地利用总体规划(2006-2020)[EB/OL]. (2014-11-13)[2021-11-15].http://www.yzcity.gov.cn/cnyz/csgh/201411/44b60d39fe744bdc96bba29d593616b0.shtml.
湖南省林业局.生态宁远绿漫九嶷:宁远县创建国家森林城市工作纪实[EB/OL]. (2016-01-06)[2021-11-15].http://lyj.hunan.gov.cn/lyj/ztzl/jzlt/201601/t20160106_2872738.Html.
0
浏览量
987
下载量
6
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621