Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2018.07.030 |
A regional allometry for the Congo basin forests based on the largest ever destructive sampling | |
Fayolle, Adeline1; Ngomanda, Alfred2; Mbasi, Michel3; Barbier, Nicolas4; Bocko, Yannick5; Boyemba, Faustin3; Couteron, Pierre4; Fonton, Noel6; Kamdem, Narcisse7; Katembo, John3; Kondaoule, Henriette Josiane8; Loumeto, Joel5; Maidou, Herve Martial9; Mankou, Geraud5; Mengu, Thomas10; Mofack, Gislain I. I.7; Moundounga, Cynel2,11; Moundoung, Quentin2,11; Nguimbous, Lydie9; Nchama, Norberto Nsue12; Obiang, Diosdado12; Asue, Francisco Ondo Meye12; Picard, Nicolas9,13; Rossi, Vivien9,13; Senguela, Yvon-Patrick10; Sonke, Bonaventure7; Viard, Lionel6; Yongo, Olga Diane10; Zapfack, Louis7; Medjibe, Vincent P.9 | |
2018-12-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
![]() |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2018 |
卷号 | 430页码:228-240 |
文章类型 | Article |
语种 | 英语 |
国家 | Belgium; Gabon; Rep Congo; France; Cameroon; Cent Afr Republ; Equat Guinea |
英文摘要 | The estimation and monitoring of the huge amount of carbon contained in tropical forests, and specifically in the above-ground biomass (AGB) of trees, is needed for the successful implementation of climate change mitigation strategies. Its accuracy depends on the availability of reliable allometric equations to convert forest inventory data into AGB estimates. In this study, we tested whether central African forests are really different from other tropical forests with respect to biomass allometry, and further examined the regional variation in tropical tree allometry across the Congo basin forests. Following the same standardized protocol, trees were destructively sampled for AGB in six sites representative of terra fume forests. We fitted regional and local allometric models, including tree diameter, wood specific gravity, tree height, and crown radius in the AGB predictors, We also evaluated the AGB predictions at the tree level across the six sites of our new models and of existing allometric models, including the pantropical equations developed by Chave et al. (2014, 2005) and the local equations developed by Ngomanda et al. (2014) in Gabon. With a total of 845 tropical trees belonging to 55 African species and covering a large range of diameters (up to 200 cm), the original data presented here can be considered as the largest ever destructive sampling for a tropical region. Regional allometric models were established and including tree height and crown radius had a small but significant effect on AGB predictions. In contrast to our expectations, tree height and crown radius did not explain much between-site variation. Examining the performance of general models (pantropical or regional) versus local models (site-specific), we found little advantage of using local equations. Earlier pantropical equations developed for moist forests were found to provide reasonable predictions of tree AGB in most sites, though the wettest sites, i. e., evergreen forests in Equatorial Guinea and, to a lesser extent in Gabon, tended to show a wet forest allometry. For the Congo basin forests, except in Equatorial Guinea where local models might be preferred, we recommend using our regional models, and otherwise the most recent pantropical models, that were validated here. These results constitute a critical step for the estimation and monitoring of biomass/carbon stocks contained in the second largest contiguous block of tropical forests worldwide, and the successful implementation of climate change mitigation strategies, such as REDD+. |
英文关键词 | Allometry Biomass Carbon Congo basin Crown radius Tropical trees Tree diameter Total tree height Wood specific gravity |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000449137300023 |
WOS关键词 | BIOMASS ESTIMATION ; TROPICAL FORESTS ; CARBON STOCKS ; ABOVEGROUND BIOMASS ; TREE BIOMASS ; ERROR PROPAGATION ; AFRICAN FORESTS ; GENERAL-MODEL ; EQUATIONS |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
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/22101 |
专题 | 气候变化 |
作者单位 | 1.Univ Liege, Gembloux Agrobio Tech, Passage Deportes 2, B-5030 Gembloux, Belgium; 2.IRET, Libreville, Gabon; 3.Univ Kisangani, Kisangani, Rep Congo; 4.IRD, AMAP, UMR, Montpellier, France; 5.Univ Marien NGouabi, Brazzaville, Rep Congo; 6.ONFi, Yaounde, Cameroon; 7.Univ Yaounde I, Yaounde, Cameroon; 8.TEREA, Yaounde, Cameroon; 9.COMIFAC, Yaounde, Cameroon; 10.Univ Bangui, Bangui, Cent Afr Republ; 11.Univ Masuku, Franceville, Gabon; 12.INDEFOR AP, Malabo, Equat Guinea; 13.Cirad, Yaounde, Cameroon |
推荐引用方式 GB/T 7714 | Fayolle, Adeline,Ngomanda, Alfred,Mbasi, Michel,et al. A regional allometry for the Congo basin forests based on the largest ever destructive sampling[J]. FOREST ECOLOGY AND MANAGEMENT,2018,430:228-240. |
APA | Fayolle, Adeline.,Ngomanda, Alfred.,Mbasi, Michel.,Barbier, Nicolas.,Bocko, Yannick.,...&Medjibe, Vincent P..(2018).A regional allometry for the Congo basin forests based on the largest ever destructive sampling.FOREST ECOLOGY AND MANAGEMENT,430,228-240. |
MLA | Fayolle, Adeline,et al."A regional allometry for the Congo basin forests based on the largest ever destructive sampling".FOREST ECOLOGY AND MANAGEMENT 430(2018):228-240. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论