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Understanding Land System Change Through Scenario-Based Simulations: A Case Study from the Drylands in Northern China.
Liu, Zhifeng; Verburg, Peter H; Wu, Jianguo; He, Chunyang.
Affiliation
  • Liu Z; Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, People's Republic of China. Zhifeng.liu@bnu.edu.cn.
  • Verburg PH; Department of Earth Sciences, Environmental Geography group, VU University Amsterdam, De Boelelaan 1085, 1081, Amsterdam, HV, The Netherlands. Zhifeng.liu@bnu.edu.cn.
  • Wu J; Department of Earth Sciences, Environmental Geography group, VU University Amsterdam, De Boelelaan 1085, 1081, Amsterdam, HV, The Netherlands.
  • He C; Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, People's Republic of China.
Environ Manage ; 59(3): 440-454, 2017 Mar.
Article in En | MEDLINE | ID: mdl-28004140
The drylands in northern China are expected to face dramatic land system change in the context of socioeconomic development and environmental conservation. Recent studies have addressed changes of land cover with socioeconomic development in the drylands in northern China. However, the changes in land use intensity and the potential role of environmental conservation measures have yet to be adequately examined. Given the importance of land management intensity to the ecological conditions and regional sustainability, our study projected land system change in Hohhot city in the drylands in northern China from 2013 to 2030. Here, land systems are defined as combinations of land cover and land use intensity. Using the CLUMondo model, we simulated land system change in Hohhot under three scenarios: a scenario following historical trends, a scenario with strong socioeconomic and land use planning, and a scenario focused on achieving environmental conservation targets. Our results showed that Hohhot is likely to experience agricultural intensification and urban growth under all three scenarios. The agricultural intensity and the urban growth rate were much higher under the historical trend scenario compared to those with more planning interventions. The dynamics of grasslands depend strongly on projections of livestock and other claims on land resources. In the historical trend scenario, intensively grazed grasslands increase whereas a large amount of the current area of grasslands with livestock converts to forest under the scenario with strong planning. Strong conversion from grasslands with livestock and extensive cropland to semi-natural grasslands was estimated under the conservation scenario. The findings provide an input into discussions about environmental management, planning and sustainable land system design for Hohhot.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urbanization / Forests / Conservation of Natural Resources / Agriculture / Models, Theoretical Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Manage Year: 2017 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urbanization / Forests / Conservation of Natural Resources / Agriculture / Models, Theoretical Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Manage Year: 2017 Type: Article