Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aaa495 |
Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia | |
Mokria, Mulugeta1,2; Mekuria, Wolde3; Gebrekirstos, Aster2; Aynekulu, Ermias2; Belay, Beyene4; Gashaw, Tadesse5; Braeuning, Achim1 | |
2018-02-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
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ISSN | 1748-9326 |
出版年 | 2018 |
卷号 | 13期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; Kenya; Ethiopia |
英文摘要 | Accurate biomass estimation is critical to quantify the changes in biomass and carbon stocks following the restoration of degraded landscapes. However, there is lack of site-specific allometric equations for the estimation of aboveground biomass (AGB), which consequently limits our understanding of the contributions of restoration efforts in mitigating climate change. This study was conducted in northwestern Ethiopia to develop a multi-species allometric equation and investigate the spatial and temporal variation of C-stocks following the restoration of degraded landscapes. We harvested and weighed 84 trees from eleven dominant species from six grazing exclosures and adjacent communal grazing land. We observed that AGB correlates significantly with diameter at stump height D-30 (R-2 = 0.78; P<0.01), and tree height H (R-2 = 0.41, P<0.05). Our best model, which includes D-30 and H as predictors explained 82% of the variations in AGB. This model produced the lowest bias with narrow ranges of errors across different diameter classes. Estimated C-stock showed a significant positive correlation with stem density (R-2 = 0.80, P<0.01) and basal area (R-2 = 0.84, P<0.01). At the watershed level, the mean C-stock was 3.8 (+/- 0.5) MgCha(-1). Plot-level C-stocks varied between 0.1 and 13.7MgCha(-1). Estimated C-stocks in three-and seven-year-old exclosures exceeded estimated C-stock in the communal grazing land by 50%. The species that contribute most to C-stocks were Leucaena sp. (28%), Calpurnia aurea (21%), Euclea racemosa (20.9%), and Dodonaea angustifolia (15.8%). The equations developed in this study allow monitoring changes in C-stocks and C-sequestration following the implementation of restoration practices in northern Ethiopia over space and time. The estimated C-stocks can be used as a reference against which future changes in C-stocks can be compared. |
英文关键词 | watershed small-diameter trees restoration carbon dynamics Blue Nile Basin East Africa |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000424681600001 |
WOS关键词 | DRY AFROMONTANE FOREST ; RIFT-VALLEY ESCARPMENT ; TREE BIOMASS ; TROPICAL FORESTS ; CLIMATE-CHANGE ; MODELS ; DYNAMICS ; HEIGHT ; CONSERVATION ; PLANTATIONS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/14962 |
专题 | 气候变化 |
作者单位 | 1.Friedrich Alexander Univ Erlangen Nuremberg, Inst Geog, Wetterkreuz 15, D-91058 Erlangen, Germany; 2.World Agroforestry Ctr ICRAF, United Nations Ave,POB 5689, Nairobi 00100, Kenya; 3.IWMI, POB 5689, Addis Ababa, Ethiopia; 4.Amhara Reg Agr Res Inst, Bahir Dar, Ethiopia; 5.Int Crops Res Inst Semi Arid Trop, Addis Ababa, Ethiopia |
推荐引用方式 GB/T 7714 | Mokria, Mulugeta,Mekuria, Wolde,Gebrekirstos, Aster,et al. Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(2). |
APA | Mokria, Mulugeta.,Mekuria, Wolde.,Gebrekirstos, Aster.,Aynekulu, Ermias.,Belay, Beyene.,...&Braeuning, Achim.(2018).Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia.ENVIRONMENTAL RESEARCH LETTERS,13(2). |
MLA | Mokria, Mulugeta,et al."Mixed-species allometric equations and estimation of aboveground biomass and carbon stocks in restoring degraded landscape in northern Ethiopia".ENVIRONMENTAL RESEARCH LETTERS 13.2(2018). |
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