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[1]ZHENG Linfeng,LI Zhanbin,LI Peng,et al.Relationship Between Landscape Pattern Simulation and Social Economic Response in Danjiang Mountain Area[J].Research of Soil and Water Conservation,2019,26(01):338-343.

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Relationship Between Landscape Pattern Simulation and Social Economic Response in Danjiang Mountain Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 01 Page number: 338-343 Column: Public date: 2019-02-28

Title:: Relationship Between Landscape Pattern Simulation and Social Economic Response in Danjiang Mountain Area

Author(s):: ZHENG Linfeng¹, LI Zhanbin^1,2, LI Peng¹, GAO Haidong¹, XU Guoce¹, KE Haocheng¹; 1. State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an 710048, China;
2. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and ministry of Water Resources, Yangling, Shaanxi 712100, China

Keywords:: land use; landscape pattern; CA-Markov model; economy; Danjiang Basin

CLC:: P962;P963

DOI:: -

Abstract:: Section of Danjiang River Basin in Shaanxi Province was selected as the research object, using GIS, IDRISI and Fragstats platform and a series of economic data, we quantitatively analyze the changes of land transfer in Danjiang River Basin, established the landscape pattern and economic index model, and simulated the landscape pattern in 2020 and 2030 and calculated the corresponding year economic data by using the model. The results showed that:(1) the basin landscape for grassland, grassland area decreased from 1980-2010 to a maximum of 46.65 km², forest increased up to 50.42 km²; and forest and urban industrial land will further increase, and the grassland reduced (90.84 km²) in 2030 compared to those in 2010; (2) the overall diversity of the study area increased and the stability reduced; grassland, forest and urban tended to be regular, more aggregated and highly connected; (3) the landscape indexes, DIVISION, IJI, LPI and SHDI, have a significant relationship with the economy, in which DIVISION and SHDI are negatively related to the economy, while IJI and LPI are positively related to the economy; (4) the economic growth rate was obvious, except the growth rate outside the population is 80%~188% in 2010-2020. The growth rate of 2020-2030 will decrease by over 30%, but the population will begin to decrease compared with that in 2020.

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