globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2014.11.025
Scopus记录号: 2-s2.0-84920196415
论文题名:
Improved models for estimating temporal changes in carbon sequestration in above-ground biomass of mixed-species environmental plantings
作者: Paul K.I.; Roxburgh S.H.; England J.R.; de Ligt R.; Larmour J.S.; Brooksbank K.; Murphy S.; Ritson P.; Hobbs T.; Lewis T.; Preece N.D.; Cunningham S.C.; Read Z.; Clifford D.; John Raison R.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2015
卷: 338
起始页码: 208
结束页码: 218
语种: 英语
英文关键词: Biodiversity plantings ; Carbon accounting ; Eucalyptus ; FullCAM ; Growth rate ; Reforestation
Scopus关键词: Biodiversity ; Biomass ; Calibration ; Carbon ; Cost effectiveness ; Forestry ; Greenhouse gases ; Growth rate ; Reforestation ; Water quality ; Above ground biomass ; Carbon accounting ; Carbon accounting model ; Environmental benefits ; Eucalyptus ; FullCAM ; Greenhouse gas accountings ; Plantings ; Ecology ; aboveground biomass ; calibration ; carbon sequestration ; evergreen tree ; forestry modeling ; growth curve ; investment ; native species ; reforestation ; stand dynamics ; temporal variation ; Accounting ; Biodiversity ; Carbon ; Eucalyptus ; Growth Rate ; Reforestation ; Australia ; Eucalyptus
英文摘要: Plantings of mixed native species (termed 'environmental plantings') are increasingly being established for carbon sequestration whilst providing additional environmental benefits such as biodiversity and water quality. In Australia, they are currently one of the most common forms of reforestation. Investment in establishing and maintaining such plantings relies on having a cost-effective modelling approach to providing unbiased estimates of biomass production and carbon sequestration rates. In Australia, the Full Carbon Accounting Model (FullCAM) is used for both national greenhouse gas accounting and project-scale sequestration activities. Prior to undertaking the work presented here, the FullCAM tree growth curve was not calibrated specifically for environmental plantings and generally under-estimated their biomass. Here we collected and analysed above-ground biomass data from 605 mixed-species environmental plantings, and tested the effects of several planting characteristics on growth rates. Plantings were then categorised based on significant differences in growth rates. Growth of plantings differed between temperate and tropical regions. Tropical plantings were relatively uniform in terms of planting methods and their growth was largely related to stand age, consistent with the un-calibrated growth curve. However, in temperate regions where plantings were more variable, key factors influencing growth were planting width, stand density and species-mix (proportion of individuals that were trees). These categories provided the basis for FullCAM calibration. Although the overall model efficiency was only 39-46%, there was nonetheless no significant bias when the model was applied to the various planting categories. Thus, modelled estimates of biomass accumulation will be reliable on average, but estimates at any particular location will be uncertain, with either under- or over-prediction possible. When compared with the un-calibrated yield curves, predictions using the new calibrations show that early growth is likely to be more rapid and total above-ground biomass may be higher for many plantings at maturity. This study has considerably improved understanding of the patterns of growth in different types of environmental plantings, and in modelling biomass accumulation in young (<25. years old) plantings. However, significant challenges remain to understand longer-term stand dynamics, particularly with temporal changes in stand density and species composition. © 2014.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65577
Appears in Collections:影响、适应和脆弱性

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作者单位: CSIRO, Agriculture Flagship and Land and Water Flagship, GPO Box 1700ACT, Australia; Department of the Environment, Land Division, GPO Box 787ACT, Australia; CSIRO, Agriculture Flagship and Land and Water Flagship, Private Bag 10 Clayton SouthVIC, Australia; Department of Agriculture and Food, Western Australia (DAFWA), 444 Albany Hwy, Albany, WA, Australia; The University of Melbourne, 500 Yarra Blvd, Richmond, VIC, Australia; Forest Products Commission WA, Baron-Hay Court, Kensington, WA, Australia; Department of Environment, Water and Natural Resources - South Australian Government, GPO Box 1047, Adelaide, SA, Australia; Department of Agriculture, Fisheries and Forestry, University of the Sunshine Coast, Sippy Downs Drive, Sippy Downs, QLD, Australia; College of Marine and Environmental Sciences, James Cook University, PO Box 6811, Cairns, QLD, Australia; Research Institute for the Environment and Livelihoods, Charles Darwin University, PO Box 1200, Atherton, QLD, Australia; School of Life and Environmental Sciences, Deakin University, Burwood, VIC, Australia; Institute for Applied Ecology, University of Canberra, Bruce, ACT, Australia; The Australian National University, Barry Dr, Acton, ACT, Australia; CSIRO, Computational Informatics, 41 Boggo Road, Dutton Park, QLD, Australia

Recommended Citation:
Paul K.I.,Roxburgh S.H.,England J.R.,et al. Improved models for estimating temporal changes in carbon sequestration in above-ground biomass of mixed-species environmental plantings[J]. Forest Ecology and Management,2015-01-01,338
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