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Combining conventional and volunteered geographic information to identify and model forest recreational resources
Institution:1. Rural Economy Development Programme, Teagasc, Athenry, Co. Galway, Ireland;2. School of Agriculture and Food Science, University College Dublin, Dublin, Ireland;1. Cape York NRM Ltd, Atherton, Qld 4883, Australia;2. Biome5 Pty Ltd, Atherton, Qld 4883, Australia;3. College of Marine & Environmental Science, Centre for Tropical Environmental and Sustainability Science, James Cook University, Cairns, Qld 4811, Australia;4. Research School for Environment and Livelihoods, Charles Darwin University, NT 0909, Australia;1. KU Leuven, Division of Bioeconomics, Department of Earth & Environmental Sciences, Geo-Instituut, Celestijnenlaan 200E, B-3001 Leuven, Belgium;2. Flemish Institute for Technological Research VITO, Boeretang, B-2400 Mol, Belgium;3. KU Leuven, Division of Forest, Nature & Landscape, Department of Earth & Environmental Sciences, Geo-Instituut, Celestijnenlaan 200E, B-3001 Leuven, Belgium;1. Department of Geography, The Hebrew University of Jerusalem, Mt Scopus, Jerusalem, 91905, Israel;2. Regional Water and Land Resources, Sustainable Minerals Institute, The University of Queensland, St Lucia, Brisbane, Queensland, 4072, Australia;3. School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane, Queensland, 4072, Australia;4. School of Environmental and Geographical Sciences, University of Nottingham Malaysia Campus, Semenyih, Selangor, 43500, Malaysia;5. Natural Resources Management & Environmental Sciences Department, California Polytechnic State University, San Luis Obispo, California, 93407, USA;1. Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany;2. Institute for Geography, Faculty of Physics and Earth Sciences, University of Leipzig, 04103 Leipzig, Germany;1. Department of Food and Resource Economics, University of Openhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark;2. School of Environment, Natural Resources and Geography, Bangor University, Gwynedd, LL57 2UW, United Kingdom;3. Center for Macroecology, Evolution and Climate, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark;4. Centre for Environmental Economics and Policy in Africa, Department of Agricultural Economics, Extension and Rural Development, University of Pretoria, South Africa
Abstract:It is now common for researchers in natural resource management and economics to develop spatial models of recreation demand for the purposes of valuation and planning. Such an approach has significant advantages but requires access to relatively detailed spatial data. In the absence of official data concerning resources, researchers may benefit from employing increasingly available volunteered geographic information (VGI) as a central source of data or to complement more traditional data sources. This paper describes the development of a map of forest recreational resources in Ireland by combining conventional forest cover data and VGI of recreational trails. As an extension the new map is combined with household survey data to explore respondent's ability to identify local recreational forests and models the impact of the characteristics of the closest forest on their annual visitation. The results suggest that VGI can be a useful resource to researchers in both the identification and characterisation of recreational resources. In addition, this paper finds that the distance to and characteristics of the nearest recreational forest has a significant impact on total annual visitation by members of the public.
Keywords:Volunteered geographic information  Forest recreation  Recreation modelling  Cultural ecosystem services
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