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      Bringing Ecosystem Services into Economic Decision-Making: Land Use in the United Kingdom

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Monitoring Land Use

          Land-use decisions are based largely on agricultural market values. However, such decisions can lead to losses of ecosystem services, such as the provision of wildlife habitat or recreational space, the magnitude of which may overwhelm any market agricultural benefits. In a research project forming part of the UK National Ecosystem Assessment, Bateman et al. (p. [Related article:]45 ) estimate the value of these net losses. Policies that recognize the diversity and complexity of the natural environment can target changes to different areas so as to radically improve land use in terms of agriculture and greenhouse gas emissions, recreation, and wild species habitat and diversity.

          Abstract

          The value of using land for recreation and wildlife, not just for agriculture, can usefully factor into planning decisions.

          Abstract

          Landscapes generate a wide range of valuable ecosystem services, yet land-use decisions often ignore the value of these services. Using the example of the United Kingdom, we show the significance of land-use change not only for agricultural production but also for emissions and sequestration of greenhouse gases, open-access recreational visits, urban green space, and wild-species diversity. We use spatially explicit models in conjunction with valuation methods to estimate comparable economic values for these services, taking account of climate change impacts. We show that, although decisions that focus solely on agriculture reduce overall ecosystem service values, highly significant value increases can be obtained from targeted planning by incorporating all potential services and their values and that this approach also conserves wild-species diversity.

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          Most cited references65

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          A new look at the statistical model identification

          IEEE Transactions on Automatic Control, 19(6), 716-723
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            Multimodel Inference: Understanding AIC and BIC in Model Selection

            K. Burnham (2004)
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              Measurement of Diversity

              E. SIMPSON (1949)
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                Author and article information

                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                July 05 2013
                July 05 2013
                : 341
                : 6141
                : 45-50
                Affiliations
                [1 ]Centre for Social and Economic Research on the Global Environment (CSERGE), School of Environmental Sciences, University of East Anglia (UEA), Norwich Research Park, Norwich, NR4 7TJ, UK.
                [2 ]Department of Genetics, Ecology and Environment, University College London, London WC1E 6BT, UK.
                [3 ]Tyndall Centre, Department of Environmental Sciences, University of East Anglia, Norwich Research Park, NR47TJ, UK and Monash Sustainability Institute, Monash University, Melbourne, Australia.
                [4 ]FuturES Research Center, Leuphana Universität Lüneburg, 21335 Lüneburg. Germany.
                [5 ]School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.
                [6 ]The Food and Environment Research Agency, Department for Environment, Food and Rural Affairs, H.M. Government, London SW1P 3JR, UK.
                [7 ]Centre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft, Suffolk NR33 0HT, UK.
                [8 ]UNE Business School, University of New England, Armidale, New South Wales 2351, Australia.
                [9 ]Centre for Environmental Management (CEM), School of Geography, University of Nottingham, Nottingham NG7 2RD, UK.
                [10 ]British Trust for Ornithology, Thetford, Norfolk IP24 2PU, UK.
                [11 ]Department of Land Economy, University of Cambridge, Cambridge CB3 9EP, UK.
                [12 ]Basque Centre for Climate Change (BC3) and IKERBASQUE, Basque Foundation for Science, 48011 Bilbao Bizkaia, Spain.
                [13 ]School of Geosciences, University of Edinburgh, Edinburgh EH9 3JW, UK.
                [14 ]School of Business, Economics and Social Sciences, University of Hamburg, Welckerstrasse 8, 20354 Hamburg, Germany.
                [15 ]Department of Spatial Economics and Institute for Environmental Studies (IVM), VU University Amsterdam, 1081 HV Amsterdam, and Department of Economics, Tilburg University, 5037 AB Tilburg, Netherlands.
                [16 ]Department of Environmental Science, Aarhus University, 8000 Aarhus, Denmark.
                Article
                10.1126/science.1234379
                23828934
                4b711d09-e6fe-431c-8400-df1e2acea5ec
                © 2013
                History

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