Developing general allometric relationships for regional estimates of carbon sequestration—an example using Eucalyptus pilularis from seven contrasting sites |
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| Affiliation: | 1. Research and Development Division, State Forests of NSW, P.O. Box 100, Beecroft, Sydney, NSW 2119, Australia;2. CRC Greenhouse Accounting, G.P.O. Box 475, Canberra, ACT 2601, Australia;1. Cooperative Research Centre for Spatial Information (CRCSI), University of New England, Armidale, NSW 2351, Australia;2. Precision Agriculture Research Group and School of Science and Technology, University of New England, Armidale, NSW 2351, Australia;3. School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia;1. Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia;2. School of Plant Biology, The University of Western Australia, Crawley, WA 6009, Australia;1. CSIRO Agriculture and CSIRO Land and Water, GPO Box 1700, ACT 2601, Australia;2. Virginia Tech, Forest Resources & Environmental Conservation, 319E Cheatham Hall, Blacksburg, VA 24061, United States;3. Mullion Group, 2a Fitzroy Rd, Forrest, ACT 2603, Australia;4. Queensland Department of Science, Information Technology, Innovation and the Arts (DSITIA), Mt Coot-tha Road, Toowong, QLD 4066, Australia;5. Department of Agriculture and Food, Western Australia, Private Mail Bag 50, Esperance, WA 6450, Australia;6. Department of Primary Industries, Locked Bag 5123, Parramatta, NSW 2150, Australia;1. Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States;2. Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States;3. Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden;4. Forest Technology, Suzano Pulp and Paper, Mucuri, Bahia, Brazil;1. Department of Forestry and Wildland Resources, Humboldt State University, Arcata, CA 95521, USA;2. School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA;3. Department of Biological Sciences and the Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA |
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| Abstract: | General non-site-specific allometric relationships are required for the conversion of forest inventory measurements to regional scale estimates of forest carbon sequestration. To determine the most appropriate predictor variables to produce a general allometric relationship, we examined Eucalyptus pilularis aboveground biomass data from seven contrasting sites. Predictor variables included diameter at breast height (dbh), stem volume, dbh2 × H, dbh × H and height (H). The data set contained 105 trees, ranging from 6 to over 20,000 kg tree−1, with dbh ranging from 5 to 129 cm. We observed significant site differences in (1) partitioning of biomass between the stem, branch wood and foliage; (2) stem wood density and (3) relationship between dbh and height. For all predictor variables, site had a significant effect on the allometric relationships. Examination of the model residuals of the site-specific and general relationship indicated that using dbh alone as the predictor variable produced the most stable general relationship. Furthermore, the apparent site effect could be removed by the addition of a constant value to the measured diameter (dbh + 1), to account for the differing diameter distribution across the seven sites. Surprisingly, the inclusion of height as a second predictor variable decreased the performance of the general model. We have therefore demonstrated that for E. pilularis a general allometric relationship using dbh alone as the predictor variable can be as accurate as site-specific allometry, whilst being applicable to a wide range of environments, management regimes and ages. This simplifies regional estimates of aboveground biomass from inventory measurements, eliminating the need for site-specific allometric relationships or modifiers such as height, wood density or expansion factors. |
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