[1]许小娟,刘会玉,林振山,等.基于CA-MARKOV模型的江苏沿海土地利用变化情景分析[J].水土保持研究,2017,24(01):213-218,225.
　XU Xiaojuan,LIU Huiyu,LIN Zhenshan,et al.Scenario Analysis of Land Use Change in Jiangsu Coast Based on CA-Markov Model[J].Research of Soil and Water Conservation,2017,24(01):213-218,225.
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基于CA-MARKOV模型的江苏沿海土地利用变化情景分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 24 期数: 2017年01期 页码: 213-218,225 栏目: 出版日期: 2017-02-28
Title:
Scenario Analysis of Land Use Change in Jiangsu Coast Based on CA-Markov Model
作者:
许小娟1,2,3, 刘会玉1,2,3, 林振山1,2,3, 刘金雪1,2,3, 李丽鹤1,2,3
1. 南京师范大学 地理科学学院, 南京 210023;
2. 江苏省环境演变与生态建设重点实验室, 南京 210023;
3. 江苏省地理信息资源开发与利用协同创新中心, 南京 210023
Author(s):
XU Xiaojuan1,2,3, LIU Huiyu1,2,3, LIN Zhenshan1,2,3, LIU Jinxue1,2,3, LI Lihe1,2,3
1. College of Geography Science, Nanjing Normal University, Nanjing 210023, China;
2. Jiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing 210023, China;
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
关键词:
土地利用; 情景模拟; CA-Markov模型; 江苏沿海
Keywords:
land use; CA-Markov Model; scenario simulation; Jiangsu coast
分类号:
F301.2
摘要:
以江苏沿海为例，基于2000年、2005年、2010年TM影像解译数据，分析了江苏沿海土地利用类型的动态变化，结合转移矩阵和CA-Markov模型，设定了自然发展趋势、生态环境保护管理和城市规划与区域发展3种不同的情景进行模拟预测。结果表明：（1）2000—2010年耕地、草地、林地面积有所减少，其他面积有所增加，2005—2010年城乡居民用地增加1 341.45 km2，耕地减少1 147.65 km2，城镇化发展速度较快，建设用地占用大量生态用地。（2）自然发展趋势情景与生态保护情景相比，林地、草地的面积变化不大，仅城乡居民用地面积多出583.68 km2，说明该情景既保护生态环境也保证城乡发展；生态保护情景下城乡居民用地面积10年间仅增长684.78 km2，说明该情景下生态环境虽然得到保护，但也限制了该区域城镇化发展；城市规划与区域发展情景下城乡居民用地比2010年增加3 963.35 km2，而耕地、林地和草地面积大幅度减少，说明过分强调城市的发展，不仅会导致耕地面积大幅减小，威胁粮食安全，也会对当地的生态系统带来巨大的危害。通过对不同情景的模拟，可为区域土地规划、生态保护以及可持续发展提供决策依据。
Abstract:
Taking Jiangsu coast as study area, the dynamics change degree of land use type was analyzed based on the interpretation data from TM image in 2000, 2005 and 2010. Combining transition matrix and CA-Markov model, three scenarios were proposed, which were natural trend scenario, ecological environmental management scenario and urban planning and regional development scenario. The results showed that: (1) from 2000 to 2010, the areas of farmland, grassland and forestland decreased, while areas of construction land, water body and unused land continued to expand; because of the rapid development of urbanization from 2005 to 2010, a large area of land was needed; during this period, the construction land expanded by 1 314.45 km2 while the farmland reduced by 1 147.65 km2; (2) compared with ecological environmental management scenario, the area of the ecological land changed a little under natural trend scenario though the construction land increased by 583.68 km2, indicating that the natural trend scenario could not only protect ecological environment but also ensure urban and rural development; under ecological environmental management scenario, however, the construction land only expanded by 684.78 km2 in a decade, which was the slowest, indicating that under this scenario the ecological environment could be protected at the cost of the urban and rural development; under the urban planning and regional development scenario, the area of construction land expanded by 3 963.35 km2 compared with that of 2010; meanwhile, the farmland, forestland and grassland decreased sharply. In conclusion, with too much attention on urban development, farmland will face the substantial reduction, which will threaten the stability of the grain market, and the local ecosystem will be faced with a huge loss. The simulation results can provide reference for the regional land planning, ecological protection and sustainable development.

参考文献/References:

[1] 邢容容,马安青,张小伟,等.基于Logistic-CA-Markov模型的青岛市土地利用变化动态模拟[J].水土保持研究,2014,21(6):111-114.
[2] Garrett R D, Lambin E F, Naylor R L. The new economic geography of land use change:Supply chain configurations and land use in the Brazilian Amazon[J]. Land Use Policy,2013,34(12):265-275.
[3] 张华兵,刘红玉,郝敬锋,等.自然和人工管理驱动下盐城海滨湿地景观格局演变特征与空间差异[J].生态学报,2012,32(1):101-110.
[4] 胡远满,李月辉,苏海龙,等.基于CLUE-S模型和Markov模型的城镇土地利用变化模拟预测:以江苏省常熟市辛庄镇为例[J].资源科学,2011,33(12):2262-2270.
[5] 韩玲玲,何政伟,唐菊兴,等.基于CA的城市增长与土地增值动态模拟方法探讨[J].地理与地理信息科学,2003,19(2):32-35.
[6] 谢正磊,许学工,孙强.基于Patch-Dynamics模式的土地覆被变化预测:以北京市为例[J].北京大学学报:自然科学版,2008,44(3):452-458.
[7] 朱萌,马孝义,刘雪娇.基于马尔科夫模型的武功县土地利用/覆被动态变化研究[J].水土保持研究,2013,20(5):64-68.
[8] Wehner S, Herrmann S, Berkhoff K. CLUENaban:A land use change model combining social factors with physical landscape factors for a mountainous area in Southwest China[J]. Ecological Indicators,2014,36(1):757-765.
[9] 戴声佩,张勃.基于CLUE-S模型的黑河中游土地利用情景模拟研究:以张掖市甘州区为例[J].自然资源学报,2013,28(2):336-348.
[10] 李明杰,钱乐祥,吴志峰,等.广州市海珠区高密度城区扩展SLEUTH模型模拟[J].地理学报,2010,65(10):1163-1172.
[11] 余强毅,吴文斌,唐华俊,等.复杂系统理论与Agent模型在土地变化科学中的研究进展[J].地理学报,2011,66(11):1518-1530.
[12] 梁辰,王诺.基于Logistic回归的沿海经济区建设用地演变驱动因素研究:以大连市新市区为例[J].地理科学,2014,34(5):556-562.
[13] Yang X, Zheng X Q, Chen R. A land use change model:Integrating landscape pattern indexes and Markov-CA[J]. Ecological Modelling,2014,283(7):1-7.
[14] Maithani S. Cellularauto mata based model of urban spatial growth[J]. Journal of the Indian Society of Remote Sensing, 2010,38(4):604-610.
[15] Nourqolipour R, Shariff A R B M, Balasundram S K, et al. A GIS-based model to analyze the spatial and temporal development of oil palm land use in Kuala Langat district, Malaysia[J]. Environmental Earth Sciences,2014,73(4):1687-1700.
[16] 王千,金晓斌,周寅康.江苏沿海地区耕地景观生态安全格局变化与驱动机制[J].生态学报,2011,31(20):5903-5909.
[17] 曲福田,吴郁玲.土地市场发育与土地利用集约度的理论与实证研究[J].自然资源学报,2007,22(3):445-454.
[18] 叶正伟.江苏沿海开发地区近50年来降水演变特征与趋势[J].水土保持研究,2015,22(1):176-180.
[19] Huang Y, Nian P, Zhang W. The prediction of interregional land use differences in Beijing:a Markov model[J]. Environmental Earth Sciences, 2015,73(8):4077-4090.
[20] Wu C D, Cheng C C, Lo H C, et al. Application of SEBAL and Markov models for future stream flow simulation through remote sensing[J]. Water Resources Management, 2010,24(14):3773-3797.
[21] Ma C, Zhang G Y, Zhang X C, et al. Application of Markov model in wetland change dynamics in Tianjin Coastal Area, China[J]. Procedia Environmental Sciences, 2012,13(3):252-262.
[22] 韩玲玲,何政伟,唐菊兴,等.基于CA的城市增长与土地增值动态模拟方法探讨[J].地理与地理信息科学,2003,19(2):32-35.
[23] 王东辉,张利权,管玉娟.基于CA模型的上海九段沙互花米草和芦苇种群扩散动态[J].应用生态学报,2007,18(12):2807-2813.
[24] Bormann H, Breuer L, Gräff T, et al. Analysing the effects of soil properties changes associated with land use changes on the simulated water balance:A comparison of three hydrological catchment models for scenario analysis[J]. Ecological Modelling, 2007,209(1):29-40.
[25] 刘波,肖子牛.澜沧江流域1951-2008年气候变化和2010-2099年不同情景下模式预估结果分析[J].气候变化研究进展,2010,6(3):170-174.
[26] 凌成星,鞠洪波,张怀清,等.基于CA-MARKOV模型的北京湿地资源变化预测研究[J].中国农学通报,2012,28(20):262-269.
[27] 谢薇,史峻.江苏沿海开发战略实施中的土地利用问题及对策[J].江苏农业科学,2012,40(10):350-353.
[28] 张杰,周寅康,李仁强,等.土地利用/覆盖变化空间直观模拟精度检验与不确定性分析:以北京都市区为例[J].中国科学:D辑,2009(11):1560-1569.

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备注/Memo

收稿日期:2016-01-18;改回日期:2016-01-29。
基金项目:国家自然科学基金（31470519）；江苏省自然科学基金（BK20131399）；江苏省高校优势学科建设工程资助项目
作者简介:许小娟(1990-),女,江苏东海人,硕士生,研究方向为全球变化生态学。E-mail:kattyxiaoj@163.com
通讯作者:刘会玉(1978-),女,湖南辰溪人,教授,主要从事全球变化生态学研究。E-mail:liuhuiyu@njnu.edu.cn

更新日期/Last Update: 1900-01-01