globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2014.02.021
Scopus记录号: 2-s2.0-84896275015
论文题名:
Methods to estimate aboveground wood productivity from long-term forest inventory plots
作者: Talbot J.; Lewis S.L.; Lopez-Gonzalez G.; Brienen R.J.W.; Monteagudo A.; Baker T.R.; Feldpausch T.R.; Malhi Y.; Vanderwel M.; Araujo Murakami A.; Arroyo L.P.; Chao K.-J.; Erwin T.; van der Heijden G.; Keeling H.; Killeen T.; Neill D.; Núñez Vargas P.; Parada Gutierrez G.A.; Pitman N.; Quesada C.A.; Silveira M.; Stropp J.; Phillips O.L.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2014
卷: 320
起始页码: 30
结束页码: 38
语种: 英语
英文关键词: Biomass ; Carbon ; Census interval ; Diameter ; Recruitment ; Tropical forest
Scopus关键词: Biomass ; Carbon ; Ecology ; Estimation ; Productivity ; Statistical tests ; Surveys ; Wood products ; Amazonian forests ; Analytical method ; Carbon sequestration ; Census interval ; Diameter ; Point of measurement ; Recruitment ; Tropical forest ; Forestry ; biological production ; carbon ; census ; diameter ; forest inventory ; growth rate ; phytomass ; recruitment (population dynamics) ; tropical forest ; wood ; Biomass ; Carbon ; Ecology ; Forestry ; Productivity ; Statistical Analysis ; Tropical Atmospheres
英文摘要: Forest inventory plots are widely used to estimate biomass carbon storage and its change over time. While there has been much debate and exploration of the analytical methods for calculating biomass, the methods used to determine rates of wood production have not been evaluated to the same degree. This affects assessment of ecosystem fluxes and may have wider implications if inventory data are used to parameterise biospheric models, or scaled to large areas in assessments of carbon sequestration. Here we use a dataset of 35 long-term Amazonian forest inventory plots to test different methods of calculating wood production rates. These address potential biases associated with three issues that routinely impact the interpretation of tree measurement data: (1) changes in the point of measurement (POM) of stem diameter as trees grow over time; (2) unequal length of time between censuses; and (3) the treatment of trees that pass the minimum diameter threshold ("recruits"). We derive corrections that control for changing POM height, that account for the unobserved growth of trees that die within census intervals, and that explore different assumptions regarding the growth of recruits during the previous census interval. For our dataset we find that annual aboveground coarse wood production (AGWP; in Mgha-1year-1 of dry matter) is underestimated on average by 9.2% if corrections are not made to control for changes in POM height. Failure to control for the length of sampling intervals results in a mean underestimation of 2.7% in annual AGWP in our plots for a mean interval length of 3.6years. Different methods for treating recruits result in mean differences of up to 8.1% in AGWP. In general, the greater the length of time a plot is sampled for and the greater the time elapsed between censuses, the greater the tendency to underestimate wood production. We recommend that POM changes, census interval length, and the contribution of recruits should all be accounted for when estimating productivity rates, and suggest methods for doing this. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66013
Appears in Collections:影响、适应和脆弱性

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作者单位: 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
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