基于Markov的石漠化景观演变特征分析与预测

张勇荣; 周忠发; 马士彬; 杨琴

doi:10.3969/j.issn.1001-5485.2015.01.011

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raybet体育在线院报 ›› 2015, Vol. 32 ›› Issue (1) : 52-56. DOI: 10.3969/j.issn.1001-5485.2015.01.011

水土保持与生态建设

基于Markov的石漠化景观演变特征分析与预测

张勇荣¹, 周忠发², 马士彬¹, 杨琴¹

作者信息 +

Analysis and Forecast of the Evolution Features of RockyDesertification Landscape by Markov Model

ZHANG Yong-rong¹, ZHOU Zhong-fa², MA Shi-bin¹, YANG Qin¹

Author information +

文章历史 +

摘要

石漠化是岩溶山区脆弱生态系统与人类不合理经济活动相互作用而造成的土地退化过程,是一个动态演变的过程,分析石漠化演变特征,预测其发展趋势,对石漠化的治理和防御将起到重要的促进作用。以贵州六枝特区1990年和2010年遥感解译石漠化数据为基础,分析石漠化演变特征,运用马尔科夫法预测其发展趋势。结果表明:①1990—2010年,研究区石漠化演化以不变型为主,占研究区喀斯特面积的46.79%;②通过预测,到2030年轻度石漠化为研究区主导石漠化景观类型,无石漠化和潜在石漠化面积大量减少,轻度和中度石漠化面积大量增加;③在现有模式下,研究区预测时段内生态环境将进一步恶化,应加大土地利用方式和治理模式的调整,重点加强潜在石漠化区域的生态保护,避免石漠化生态修复进入死循环模式。

Abstract

Karst rocky desertification is a process of land degradation and dynamic evolution resulted from the fragile ecosystem in Karst mountainous regions and the improper economic activities of human beings. Predicting its development trend would improve the control and defense against Karst rocky desertification. According to the Karst rocky desertification data interpreted from the remote sensing images obtained in 1990 and 2010, we analysed the features of Karst rocky desertification evolution and predicted its development trend by using Markov Model. Results showed that: 1) from 1990 to 2010, those invariable which accounted for 46.79% of the Karst region predominated the evolution of Karst rocky desertification in the study area; 2) by prediction, in 2030, light rocky desertification would predominate the study area, the area of non-desertification and potential desertification would decrease remarkably, and those of light and moderate would increase greatly; 3) under the present mode, the eco-environment of the study area would deteriorate in the forecast period. We should adjust the land use patterns and the governance mode appropriately and strengthen the ecological protection in the potential rocky desertification region in case that the ecological restoration falls into an infinite loop.

导出引用

张勇荣, 周忠发, 马士彬, 杨琴. 基于Markov的石漠化景观演变特征分析与预测[J]. raybet体育在线院报. 2015, 32(1): 52-56 https://doi.org/10.3969/j.issn.1001-5485.2015.01.011

ZHANG Yong-rong, ZHOU Zhong-fa, MA Shi-bin, YANG Qin. Analysis and Forecast of the Evolution Features of RockyDesertification Landscape by Markov Model[J]. Journal of Changjiang River Scientific Research Institute. 2015, 32(1): 52-56 https://doi.org/10.3969/j.issn.1001-5485.2015.01.011

中图分类号： P951

参考文献

[1] 李阳兵,白晓永,邱兴春,等.喀斯特石漠化与土地利用相关性研究[J].资源科学,2006,28(6):67-73. (LI Yang-bing, BAI Xiao-yong, QIU Xing-chun, et al. The Correlation Analysis of Desertification of Karst Rock and Land Use Patterns [J]. Resources Science, 2006,28(6):67-73.(in Chinese))
[2] 李云平,刘永兵,王计平,等.松嫩草原西部县域尺度景观格局变化及预测——以黑龙江省杜蒙县为例[J].中国水土保持科学,2008,6(6):79-86.(LI Yun-ping, LIU Yong-bing, WANG Ji-ping, et al. Landscape Pattern Change and Prediction on County Scale of West Songnen Grasslands: A Case Study of Dumeng County[J].Science of Soil and Water Conservation,2008,6(6):79-86.(in Chinese))
[3] 周秋文,苏维词,陈书卿.基于景观指数和马尔科夫模型的铜梁县土地利用分析[J]. 长江流域资源与环境,2010,19(7):770-775.(ZHOU Qiu-wen, SU Wei-ci, CHEN Shu-qing. LUCC Analysis of Tongliang County Based on the Landscape Pattern Indices and the Markov Model[J]. Resources and Environment in the Yangtze Basin, 2010,19(7):770-775.(in Chinese))
[4] 张勇荣,周忠发,马士彬.基于Markov模型的城市土地利用景观格局分析及预测[J].华中师范大学学报(自然科学版),2012,46(3):363-367.(ZHANG Yong-rong, ZHOU Zhong-fa, MA Shi-bin. Analysis and Forecast of Urban Land Use Landscape Pattern Based on Markov Model: A Case of Liupanshui City[J]. Journal of Huazhong Normal University (Natural Science), 2012,46(3):363-367.(in Chinese))
[5] 刘慧璋,郭青霞,王曰鑫,等.基于Markov的山西岔口小流域土地利用变化预测[J].山西农业大学学报(自然科学版),2012,32(1):53-57. (LIU Hui-zhang, GUO Qing-xia, WANG Yue-xin, et al. Prediction of the Land Use/Cover Change of Shanxi Chakou Small Watershed by Means of Markov Model[J]. Journal of Shanxi Agricultural University (Natural Science Edition), 2012,32(1):53-57. (in Chinese))
[6] 安宏锋,安裕伦,袁士聪,等.贵州省石漠化敏感性的动态演变与模拟预测[J].中国农学通,2010,26(13):388-395. (AN Hong-feng, AN Yu-lun, YUAN Shi-cong, et al. The Dynamic Change and Simulation and Prediction of Sensitivity of the Karst Rocky Desertification of Guizhou[J]. Chinese Agricultural Science Bulletin, 2010, 26(13): 388-395. (in Chinese))
[7] 李阳兵,王世杰,罗光杰,等.喀斯特石漠化演变轨迹的典型案例研究——以贵州盘县为例[J]. 中国地质灾害与防治学报,2010,21(3):118-124. (LI Yang-bing, WANG Shi-jie, LUO Guang-jie, et al. Evolution Tracks of Karst Rocky Desertification: A Typical Case Study in Panxian County [J]. The Chinese Journal of Geological Hazard and Control, 2010,21(3):118-124.(in Chinese))
[8] 李阳兵,罗光杰,程安云,等.黔中高原面石漠化演变典型案例研究——以普定后寨河地区为例[J].地理研究,2013,32(5):828-838. (LI Yang-bing, LUO Guang-jie, CHENG An-yun, et al. A Typical Case Study on Evolution of Karst Rocky Desertification in Houzhaihe, Puding County, Central Guizhou Province, China[J]. Geographical Research, 2013,32(5):828-838. (in Chinese))
[9] 熊康宁,黎平,周忠发,等.喀斯特石漠化的遥感GIS典型研究——以贵州省为例[M].北京:地质出版社,2002. (XIONG Kang-ning, LI Ping, ZHOU Zhong-fa, et al. RS and GIS-based Studies on Karst Rocky Desertification: An Example of Guizhou Province[M]. Beijing: Geology Press, 2002. (in Chinese))
[10]张平仓,丁文峰.我国石漠化问题研究进展[J].raybet体育在线院报,2008,25(3):1-5.(ZHANG Ping-cang, DING Wen-feng. Review on Rock Desertification Research in China[J]. Journal of Yangtze River Scientific Research Institute, 2008,25(3):1-5. (in Chinese))
[11]徐建华.现代地理学中的数学方法[M].北京:高等教育出版社,2002.(XU Jian-hua. Mathematical Methods in Contemporary Geography[M]. Beijing: Higher Education Press,2002. (in Chinese))