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Land-Use Change Scenario

Chapter

Abstract

Land-use change models are tools to support the analysis of the causes and consequences of land-use dynamics. Scenario analysis with land-use models can support land-use planning and policy. In this study, Markov chain model, which describes land-use and land-cover change from one period to another and uses this as the basis to predict future changes, is applied to project land-use changes in the future for Lhasa area located at the central Tibetan Plateau over a 20-year period from 2000 to 2020 based on the land-use change dynamics and transition probability matrix from 1990 to 2000, and comparison analysis between areas from land-use planning and Markov model projection is made. Results indicated that Markov chain model is found to be useful tool for describing and predicting land-use change process in the study area, and the general trends of future land-use change in the study area are effectively captured, which shows that cultivated land, grassland, water body, and unused land-use types would decrease, whereas forest, horticultural, and built-up land would continue to increase. Studying land-use changes in the past few years and predicting these changes in the future years to come may play a significant role in planning and optimal use of natural resources and harnessing the non-normative changes in the future.

Keywords

Land use change Future scenario Markov model Lhasa area Central Tibetan Plateau 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Duo Chu
    • 1
  1. 1.Tibet Institute of Plateau Atmospheric and Environmental SciencesTibet Meteorological BureauLhasaChina

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