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Chinese Agricultural Science Bulletin ›› 2018, Vol. 34 ›› Issue (13): 100-105.doi: 10.11924/j.issn.1000-6850.casb17120013

Special Issue: 农业地理 耕地保护

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Dalinur National Wetland Nature Reserve in 3 Periods: Land Use Dynamics

包玉海   

  • Received:2017-12-02 Revised:2018-04-17 Accepted:2018-03-23 Online:2018-05-07 Published:2018-05-07

Abstract: The land use change of inland wetland in arid area of Mongolian plateau is remarkably influenced by warm-dry climate and human activities, so grasping the land use change in wetland in time could provide reference for the management of land resources in wetland nature reserve. Based on the data of Landsat-TM/ OLI remote sensing image of Dalinur National Nature Reserve in 1994, 2005 and 2016, the authors analyzed dynamically the land use change by using decision tree classification, transfer matrix and the dynamic degree. The results showed that: the accuracy of classification of land use types was overall higher, and the land use types in the research area mainly included grassland, forests and lakes, and the proportion of marsh, sandy, mudflat and bare place was small. From 1994 to 2005, 238.93 km2 features changed, which accounted for 18.81% of the total area, among them, the forest and the grassland increased by 19.25% and 10.94% , respectively, the sandy land and the bare land decreased by 66.63% and 47.19%, respectively. From 2005 to 2016, 191.72 km2 features changed, accounting for 15.09% of the total area, among them, the sandy and the The land use change of inland wetland in arid area of Mongolian plateau is remarkably influenced by warm-dry climate and human activities, so grasping the land use change in wetland in time could provide reference for the management of land resources in wetland nature reserve. Based on the data of Landsat-TM/ OLI remote sensing image of Dalinur National Nature Reserve in 1994, 2005 and 2016, the authors analyzed dynamically the land use change by using decision tree classification, transfer matrix and the dynamic degree. The results showed that: the accuracy of classification of land use types was overall higher, and the land use types in the research area mainly included grassland, forests and lakes, and the proportion of marsh, sandy, mudflat and bare place was small. From 1994 to 2005, 238.93 km2 features changed, which accounted for 18.81% of the total area, among them, the forest and the grassland increased by 19.25% and 10.94% , respectively, the sandy land and the bare land decreased by 66.63% and 47.19%, respectively. From 2005 to 2016, 191.72 km2 features changed, accounting for 15.09% of the total area, among them, the sandy and the

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