CARBON SEQUESTRATION IN EIGHT WOODY NON-TIMBER FOREST SPECIES AND THEIR ECONOMIC POTENTIALS IN SOUTHWESTERN CAMEROON
CARBON SEQUESTRATION IN EIGHT WOODY NON-TIMBER FOREST SPECIES AND THEIR ECONOMIC POTENTIALS IN SOUTHWESTERN CAMEROON
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DOI：
10.15666/aeer/0904_369385
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发表时间：
2011-01-01
影响因子：
0.7
通讯作者：
Tabot, P. T.
中科院分区：
文献类型：
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作者：
Egbe, E. A.;Tabot, P. T.
采用CO2 FIXV方法，在生态系统水平上对8种木本植物的固碳潜力进行了评价。2模型，用于两种情况。每40年完全轮伐一次的净碳封存潜力范围为246.23至306.22 Mg C ha（-1），部分采伐的净碳封存潜力范围为292至359.3 Mg C ha（-1）。蓖麻树的净固碳潜力最高（完全和部分削减分别为306.22和359.3 Mg C ha（-1）），而可乐lepidota在两种情景下的净固碳潜力最低。在两种管理制度下，所有农用林的植物生物量碳储量都高于土壤。细凋落物的土壤碳组分最高，可溶性化合物最少的所有农林。在完全轮伐下，农林复合系统的潜在碳信用值范围为2756美元至3264美元/公顷/轮伐，部分采伐的潜在碳信用值范围为3114美元至3678美元/公顷/轮伐。部分削减允许更高的碳积累率，农民总是有一个常设作物。经济效益排序结果表明：欧文氏花最好（6.67美元/Kg），其次是蓖麻和细叶野茉莉（5.55美元/Kg），最差的是白肋木（0.33美元/Kg）。这些成果将有助于政策制定者减缓气候变化，改善农村生计，并为可持续发展做出贡献。
Carbon sequestration potentials of 8 woody species were assessed on an ecosystem level, using the CO2FIXV. 2 model, for two scenarios. Net carbon sequestration potentials ranged from 246.23 to 306.22 Mg C ha(-1) with complete rotation every 40 years, and 292 to 359.3 Mg C ha(-1) with partial cut. Ricinodendron heudelotii had the highest net carbon sequestration potential (306.22 and 359.3 Mg C ha(-1) for the complete and partial cuts respectively), while Cola lepidota had the least under both scenarios. There were higher carbon stocks in plant biomass than soil for all agroforests under both management regimes. Fine litter had the highest soil carbon fraction and soluble compounds had the least in all the agroforests. Under complete rotation, the agroforests had potential carbon credit values ranging from US$2756 to $3264/ha/rotation, and $ 3114 to $3678/ha/rotation with partial cut. Partial cuts allowed for higher rates of carbon accumulation, and the farmer always has a standing crop. Economic prioritization showed that Irvingia wombulu was the best (US$6.67/Kg), followed by Ricinodendron heudelotii and Afrostyrax lepidophyllus ($5.55/Kg) and the least was Trycocypha abut ($0.33/Kg). These results would aid policy makers in mitigating climate change, improving rural livelihoods, and contributing to sustainable development.