School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom; Department of Geography, University College London, Pearson Building, Gower Street, London WC1E 6BT, United Kingdom; Jardín Botánico de Missouri, Oxapampa, Pasco, Peru; Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom; Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom; Computational Ecology and Environmental Science Group, Microsoft Research, 21 Station Road, Cambridge CB1 2FB, United Kingdom; Department of Biology, University of Florida, Gainesville, FL, United States; Museo de Historia Natural Noel Kempff Mercado, Santa Cruz, Bolivia; National Chung Hsing University, Taiwan; Department of Entomology, National Museum of Natural History, Smithsonian Institution, MRC 187, P.O. Box 37012, Washington, DC 20013, United States; University of Wisconsin-Milwaukee, P.O. Box 413, Milwaukee, WI 53201, United States; Smithsonian Tropical Research Institute, Apartado Postal 0843-03092, Panama; Universidad Estatal Amazónica, Puyo, Pastaza, Ecuador; Universidad Nacional San Antonio Abad del Cusco, Av. de la Cultura 733, Cusco, Apartado Postal No. 921, Peru; Center for Tropical Conservation, Nicholas School of the Environment, Duke University, Box 90381, Durham, NC 27708-0381, United States; Instituto Nacional de Pesquisas na AmazÔnia, Av. Andre Araujo, 1753 CP 478, 69060-011 Manaus, AM, Brazil; Universidade Federal do Acre, Museu Universitário, Depto Centro de Ciencias da Natureza, 69910-900 Rio Branco, AC, Brazil; Joint Research Centre of the European Commission, Institute for Environment and Sustainability, via Enrico Fermi 2749, I-21027 Ispra, Italy
Recommended Citation:
Talbot J.,Lewis S.L.,Lopez-Gonzalez G.,et al. Methods to estimate aboveground wood productivity from long-term forest inventory plots[J]. Forest Ecology and Management,2014-01-01,320