期刊论文详细信息
FOREST ECOLOGY AND MANAGEMENT 卷:320
Methods to estimate aboveground wood productivity from long-term forest inventory plots
Article
Talbot, Joey1  Lewis, Simon L.1,2  Lopez-Gonzalez, Gabriela1  Brienen, Roe J. W.1  Monteagudo, Abel3  Baker, Timothy R.1  Feldpausch, Ted R.4  Malhi, Yadvinder5  Vanderwel, Mark6,7  Murakami, Alejandro Araujo8  Arroyo, Luzmila P.8  Chao, Kuo-Jung1,9  Erwin, Terry10  van der Heijden, Geertje11,12  Keeling, Helen1  Killeen, Tim8  Neill, David13  Nunez Vargas, Percy14  Gutierrez, Germaine Alexander Parada8  Pitman, Nigel15  Quesada, Carlos Alberto16  Silveira, Marcos17  Stropp, Juliana18  Phillips, Oliver L.1 
[1] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[2] UCL, Dept Geog, London WC1E 6BT, England
[3] Jardin Bot Missouri, Oxapampa, Pasco, Peru
[4] Univ Exeter, Coll Life & Environm Sci, Exeter, Devon, England
[5] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford OX1 3QY, England
[6] Microsoft Res, Computat Ecol & Environm Sci Grp, Cambridge CB1 2FB, England
[7] Univ Florida, Dept Biol, Gainesville, FL USA
[8] Muse Hist Nat Noel Kempff Mercado, Santa Cruz, Bolivia
[9] Natl Chung Hsing Univ, Taipei, Taiwan
[10] Smithsonian Inst, Natl Museum Nat Hist, Dept Entomol, Washington, DC 20013 USA
[11] Univ Wisconsin, Milwaukee, WI 53201 USA
[12] Smithsonian Trop Res Inst, Panama City 084303092, Panama
[13] Univ Estatal Amazon, Puyo, Pastaza, Ecuador
[14] Univ Nacl San Antonio Abad Cusco, Cuzco 921, Peru
[15] Duke Univ, Nicholas Sch Environm, Ctr Trop Conservat, Durham, NC 27708 USA
[16] Inst Nacl de Pesquisas da Amazonia, BR-69060011 Manaus, AM, Brazil
[17] Univ Fed Acre, Museu Univ, Depto Ctr Ciencias Nat, BR-69910900 Rio Branco, AC, Brazil
[18] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, I-21027 Ispra, Italy
关键词: Biomass;    Carbon;    Census interval;    Diameter;    Recruitment;    Tropical forest;   
DOI  :  10.1016/j.foreco.2014.02.021
来源: Elsevier
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【 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 Mg ha(-1) year(-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 3.6 years. 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. (C) 2014 Elsevier B.V. All rights reserved.

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