气候变化领域集成服务门户(CCPortal): Predicting carbon sequestration of woody biomass following land restoration

CCPortal

DOI	10.1016/j.foreco.2019.117838
	Predicting carbon sequestration of woody biomass following land restoration
	Paul K.I.; Roxburgh S.H.
发表日期	2020
ISSN	0378-1127
卷号	460
英文摘要	Land restoration through planting native species or facilitating natural regeneration may provide opportunities for sequestration of biomass carbon in many regions where woody vegetation has been cleared or largely supressed. Australia provides a good case study of how sequestration from these activities may be simulated at national- and project-scales using an empirical full carbon accounting model; FullCAM. Recent work has resulted in 1.6-fold increase in calibration sites available, while the underlying input layer of site productivity has also been recently refined. These developments provided an opportunity to expand the domain of application and capability of the model. We collated 2340 observations of above-ground biomass in planted or naturally regenerated stands across Australia and applied a novel technique to correct these observations for a baseline biomass of existing remnant trees or shrubs within these stands (typically < 5 Mg DM ha−1 and < 10% of individuals). Five different sets of parameters were estimated based on five categories of stands for the FullCAM model, based on landscape position, land use, and configuration and/or density of the stand: (i) stands accessing water in addition to rainfall; (ii) belt plantings of high (>1500 stems per hectare) stand density; (iii) belt plantings of lower stand density; (iv) blocks of plantings or natural regeneration on land used to deliver environmental services, and; (v) blocks of natural regeneration occurring on land used for livestock production. Compared to blocks of plantings or natural regeneration, yields of biomass after 30 years of growth were 1.3- to 2.2-times higher in belt plantings, and stands of mesic regions accessing ground or surface water, e.g. riparian or floodplain zones. After 30 years of natural regeneration, when compared to stands fenced-off for conservation, yields of biomass were 1.5-times lower on stands that continued to be managed for livestock production. In revising the model calibrations, the trade-off between model accuracy and utility was considered. By accounting for only stand age, site productivity and the five stand categories, the overall model efficiency of biomass prediction was 68%. Additional explanatory variables such as stocking densities of stands with a block configuration, stand establishment method, species or species mix, and belt width were also tested, but their addition to the model was considered unwarranted, given the additional resources required to account for these inputs would be substantial, and they would deliver <10% improvement in prediction efficiencies. Although predictions were unbiased overall, they may nonetheless provide erroneous predictions at a given site. Nonetheless, given the absence of bias, individual over- and under-predictions will tend to cancel out for carbon accounting at the national-scale; while at the project-scale where carbon offsets are monetarised, discounting for uncertainty may be implemented. © 2020 Elsevier B.V.
英文关键词	Biodiversity plantings; FullCAM; Reforestation; Regrowth; Riparian; Yields
语种	英语
scopus关键词	Belts; Biodiversity; Biomass; Carbon; Economic and social effects; Efficiency; Emission control; Forecasting; Land use; Productivity; Restoration; Surface waters; FullCAM; Plantings; Regrowth; Riparian; Yields; Reforestation; biomass; carbon sequestration; floodplain; reforestation; regrowth; restoration ecology; riparian zone; software; tree planting; woody plant; yield response; Belts; Biodiversity; Biomass; Carbon; Efficiency; Forecasts; Australia
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155476
作者单位	CSIRO Land and Water, GPO Box 1700ACT 2601, Australia
推荐引用方式 GB/T 7714	Paul K.I.,Roxburgh S.H.. Predicting carbon sequestration of woody biomass following land restoration[J],2020,460.
APA	Paul K.I.,&Roxburgh S.H..(2020).Predicting carbon sequestration of woody biomass following land restoration.Forest Ecology and Management,460.
MLA	Paul K.I.,et al."Predicting carbon sequestration of woody biomass following land restoration".Forest Ecology and Management 460(2020).