Valuing post-mining landscapes using an ecosystem services approach—An example from Germany |
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| Institution: | 1. School of Environmental and Life Sciences, Earth Science Building, The University of Newcastle, Callaghan, NSW 2308, Australia;2. Hydrologic, Geomorphic and Chemical Processes Program, Environmental Research Institute of the Supervising Scientist, Darwin, Northern Territory, Australia;3. Department of Geography, Environment and Earth Sciences, University of Hull, Hull HU6 7RX, UK;1. Centre for Social Responsibility in Mining, Sustainable Minerals Institute, The University of Queensland, Australia;2. Marie Skłodowska-Curie Research Fellow, Department of Agricultural Economics and Rural Development, University of Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany;1. Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, PR China;2. Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, PR China;3. Monash University Indonesia, Tangerang, Banten 15345, Indonesia |
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| Abstract: | Open cut mining heavily affects landscapes and is largely irreversible. Post-mining landscapes often differ dramatically from pre-mining ones. One of the largest open cut lignite mining areas in Europe is in Eastern Germany, south of Leipzig. This paper uses an ecosystem services approach to assess the impacts of mining activity over a 100-year period, spanning pre- and post-mining states. We recorded historical land use data from maps and outlined three future potential land use scenarios based on current planning documents. Our results indicate that maps showing the potentials to provide ecosystem services support the prioritization of preference areas in regional planning. For example, forested and heterogeneous habitats are predicted to enhance future urban development and mitigation of future climate change – a goal of the Saxon government. In contrast, if future development priorities are on local food production and bio-energy use, more arable and grassland areas should be pursued. The use of freely and publicly available data and the simple methods of the approach presented here can be used to inform and improve regional landscape planning. |
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