DOI: 10.1016/j.foreco.2017.08.013
Scopus记录号: 2-s2.0-85028445423
论文题名: Rubber tree allometry, biomass partitioning and carbon stocks in mountainous landscapes of sub-tropical China
作者: Yang X. ; Blagodatsky S. ; Liu F. ; Beckschäfer P. ; Xu J. ; Cadisch G.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 404 起始页码: 84
结束页码: 99
语种: 英语
英文关键词: Aboveground biomass
; Belowground biomass
; Carbon stock
; Forest plantations
; Root-to-shoot ratio
Scopus关键词: Biology
; Biomass
; Cloning
; Hardwoods
; Precipitation (meteorology)
; Rubber
; Rubber plantations
; Tropics
; Above ground biomass
; Belowground biomass
; Carbon stocks
; Forest plantation
; Root to shoot ratio
; Forestry
; Hevea brasiliensis
英文摘要: Expansion of rubber plantations into sub-optimal environments has been a dominating land conversion in continental South-East Asia in the last decade. Regional evaluation of the carbon sequestration potential of rubber trees depends largely on the selection of suitable allometric equations and the biomass-to-carbon conversion factor. Most equations are age-, elevation-, or clone-specific, and their application therefore gives uncertain results at the landscape level with varying age groups, elevation ranges, and clone types. Currently, for rubber-based systems, none of the allometric equations takes environmental factors (e.g. climate, topographic condition, soil properties, and management scheme) into consideration to allow pan-tropical usage. Against this background, 30 rubber trees with a root profile of up to 2 m were destructively harvested and 882 rubber trees were measured non-destructively in 27 plots, covering rotation lengths of 4–35 years, elevation gradients of 621–1127 m, and locally used clone types (GT1, PRIM600, Yunyan77-4) in mountainous South Western China. Allometric equations for aboveground biomass (AGB) estimations considering diameter at breast height (DBH), tree height (H), and wood density were superior to other equations. A simpler model with similar performance (AGB = 0.0419DBH2.316H0.478) can be used if tree-specific wood density is not available. For belowground biomass (BGB) a model using only DBH can provide a robust prediction (BGB = 0.207DBH1.668). We also tested goodness of fit for the recently proposed pan-tropical forest model, which includes a bioclimatic factor E, combining indices of temperature and precipitation variability and drought intensity. Prediction of AGB by the model calibrated with the harvested rubber tree biomass and wood density was more accurate than the results produced by the pan-tropical forest model adjusted to local conditions. The relationships between DBH and height and between DBH and biomass were influenced by tapping, therefore biomass and C stock calculations for rubber have to be done using species-specific allometric equations. Based on the analysis of environmental factors acting at the landscape level, we found that above- and belowground carbon stocks were mostly affected by stand age, soil clay content, aspect, and planting density. Increasing planting density to >570 trees per ha according to the regional plantation management strategy had a negative impact on aboveground carbon stock of old rubber plantations. The integration of bioclimatic and regional management factors is a further approach to build widely applicable biomass models for pan-tropical rubber-based systems. The results of this study provide reference for reliable carbon accounting in other rubber-cultivated regions. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64105
Appears in Collections: 影响、适应和脆弱性
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作者单位: Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Garbenstrasse 13, Stuttgart, Germany; Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China; World Agroforestry Centre (ICRAF), China & East Asia Office c.o. Kunming Institute of Botany, Heilongtan, Lanhei Road No.132, Kunming, China; Institute of Physicochemical and Biological Problems in Soil Science, Russian Academy of Sciences, Pushchino, Russian Federation; Bureau of Naban River Nature Reserve, Yuanlin alley 19#, Jinghong, China; University of Göttingen, Chair of Forest Inventory and Remote Sensing, Büsgenweg 5, Göttingen, Germany
Recommended Citation:
Yang X.,Blagodatsky S.,Liu F.,et al. Rubber tree allometry, biomass partitioning and carbon stocks in mountainous landscapes of sub-tropical China[J]. Forest Ecology and Management,2017-01-01,404