Spatial and temporal modeling of community non-timber forest extraction |
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| Institution: | 1. Environment for Development Tanzania, Department of Economics, University of Dar es Salaam, Tanzania;2. Department of Forest Resources, Oregon State University, USA;3. Department of Agricultural and Resource Economics and Giannini Foundation, University of California, Davis, USA;1. Univ. Prof. Dipl. -Ing. Dr., University of natural resources and life sciences Vienna, Institute for water management, Hydrology and hydraulic engineering, Muthgasse 107, 1190 Vienna;2. Dr., Bakk. Techn., University of natural resources and life sciences Vienna, Institute for water management, Hydrology and hydraulic engineering, Muthgasse 107, 1190 Vienna;1. Umm Al-Qura University, University College in Al-Qunfudah, Chemistry Department, 21421 Mekkah, Saudi Arabia;2. Al-Qunfudah Center for Scientific Research (QCSR), 1109 Al-Qunfudah, Saudi Arabia;1. China Center for Economic Research, National School of Development, Peking University, PR China;2. Department of Economics, Michigan State University, East Lansing, MI 48824, USA;3. Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI 48824, USA;4. Department of Economics, Iowa State University, Ames, IA 50011-1070, USA;1. Plant Production Systems, Wageningen University, P.O. Box 430, 6700AK Wageningen, The Netherlands;3. Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, NO-1432 Ås, Norway;4. School of Environment, Science and Engineering, Southern Cross University, PO Box 157, Lismore, NSW 2480, Australia;5. Institute of Tropical Forest Conservation (ITFC), PO Box 44, Kabale, Uganda;6. Center for International Forestry Research (CIFOR), PO Box 0113 BOCBD, Bogor 16000, Indonesia;1. China Center for Economic Research, National School of Development, Peking University, PR China;2. Department of Economics, Department of Agricultural, Food and Resource Economics, and Environmental Science and Policy Program, Michigan State University, East Lansing, MI 48824, USA |
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| Abstract: | This paper examines the interaction of spatial and dynamic aspects of resource extraction from forests by local people. Highly cyclical and varied across space and time, the patterns of resource extraction resulting from the spatial–temporal model bear little resemblance to the patterns drawn from focusing either on spatial or temporal aspects of extraction alone. Ignoring this variability inaccurately depicts villagers’ dependence on different parts of the forest and could result in inappropriate policies. Similarly, the spatial links in extraction decisions imply that policies imposed in one area can have unintended consequences in other areas. Combining the spatial–temporal model with a measure of success in community forest management—the ability to avoid open-access resource degradation—characterizes the impact of incomplete property rights on patterns of resource extraction and stocks. |
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