Urbanization as a land use change driver of forest ecosystem services |
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| Institution: | 1. School of Forest Resources and Conservation, University of Florida, 350 Newins Ziegler Hall, PO Box 110410, Gainesville, FL 32611, USA;2. School of Forest Resources and Conservation, University of Florida, 361 Newins Ziegler Hall, PO Box 110410, Gainesville, FL 32611, USA;3. Geomatics Program, School of Forest Resources and Conservation, University of Florida, 1200 N. Park Road, Plant City, FL 33563, USA;4. School of Forest Resources and Conservation, University of Florida, 214 Newins Ziegler Hall, PO Box 110410, Gainesville, FL 32611, USA;1. Institut Méditerranéen de Biodiversité et d’Ecologie marine et continentale (IMBE), Aix Marseille Université, CNRS, IRD, Avignon Université, Technopôle Arbois-Méditerranée, Bât. Villemin – BP 80, F-13545 Aix-en-Provence Cedex 04, France;2. FRACTAL Collective, San Remigio 2, 28022 Madrid, Spain;3. Tour du Valat, Research Institute for the Conservation of Mediterranean Wetlands, Le Sambuc, 13200 Arles, France;4. Institute of Environmental Science and Technology (ICTA), Universitat Autònoma de Barcelona (UAB), Edifici Z (ICTA-ICP), Carrer de les Columnes s/n, Campus de la UAB, 08193 Cerdanyola del Vallès, Spain;5. Hospital del Mar Medical Research Institute (IMIM), Carrer Doctor Aiguader 88, 08003 Barcelona, Spain;6. IRSTEA, UR RECOVER, 3275 Route de Cézanne, CS 40061, 1382 Aix-en-Provence Cedex 05, France;1. Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences, H-1112 Budapest, Budaörsi út 45, Hungary;2. Department of Physical Geography and Geoinformatics, University of Debrecen, H-4032 Debrecen, Egyetem tér 1, Hungary;1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China;2. Chinese Academy of Forest Inventory and Planning, State Forestry Administration, 18 Hepingli East Street, Xicheng District, Beijing 100714, China;3. Beijing Municipal Institute of City Planning & Design, 60 Nanlishi Street, Xicheng District, Beijing 100045, China;4. College of Hydrology and Water Resources, Hohai University, 1 Xikang Road, Nanjing 210098, China;1. Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China;2. College of Resources Science & Technology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China;3. Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;1. School of Geographic and Oceanographic Sciences, Nanjing University, China;2. Nanjing University Jinling College, China;1. Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;2. Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China;3. State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;4. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | Land use change in the form of urbanization is a direct driver affecting the provision of ecosystem services from forests. To better understand this driver, we modeled the effects of urbanization on three regulating and provisioning ecosystem services in two disparate watersheds in Florida, USA. The study integrated available geospatial and plot-level forest inventory data to assess future changes in carbon storage, timber volume and water yield during a period of 57 years. A 2003–2060 urbanization and land use change scenario was developed using land cover data and a population distribution model. The Integrated Valuation and Ecosystem Services Tradeoffs model was then used to quantify changes in ecosystem services. Carbon storage was reduced by 16% and 26% in the urbanized 2060 scenario in both the rural Lower Suwannee and urban Pensacola Bay watersheds, respectively. Timber volume was reduced by 11% in the Lower Suwannee and 21% in the Pensacola Bay watershed. Water yield, however, increased in both watersheds by 4%. Specific sub-watersheds that were most susceptible to urbanization were identified and mapped and ecosystem service interactions, or trade-offs and synergies, are discussed. Findings reveal how urbanization drives the spatio-temporal dynamics of ecosystem services and their trade-offs. This study provides policy makers and planners an approach to better develop integrated modeling scenarios as well as designing mapping and monitoring protocols for land use change and ecosystem service assessments. |
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| Keywords: | Carbon storage Timber volume Water yield Ecosystem service interactions Ecosystem service trade-offs Spatio-temporal analyses |
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