Carbon Stocks in Tropical Evergreen Broadleaf Forests in Central Highland, Vietnam
Carbon Stocks in Tropical Evergreen Broadleaf Forests in Central Highland, Vietnam
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DOI：
10.1505/146554815814725086
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发表时间：
2015-04
期刊：
影响因子：
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通讯作者：
V. Hai;T. Do;Dang Thinh Trieu;Tamotsu Sato;O. Kozan
中科院分区：
文献类型：
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作者：
V. Hai;T. Do;Dang Thinh Trieu;Tamotsu Sato;O. Kozan
这是越南中部高原热带万年青阔叶林碳储量估算的首次研究。由于选择性采伐和轮垦，根据立木蓄积量（V），将剩余森林分为5类：极差林（V ≤ 10 m3/ha）、差林（10 300 m3/ha）。采用150块50 m × 50 m样地，测定了大树（胸径/胸径≥ 5 cm）、矮植被层（胸径< 5 cm）、枯落物和土壤4个碳库的碳储量。从30厘米深的土壤样品中评估了土壤碳储量。结果表明，总碳储量从极贫林的75吨C/公顷增加到中等林的199吨C/公顷，在极富林增加到255吨C/公顷。不同森林类别（从4吨C/公顷到8吨C/公顷）之间，死生物量中的碳储量存在显著差异（ANOVA; F（4，145）= 61.70，p < 0.001）。同时，不同森林类型的土壤和短植被层碳储量没有差异，分别为59-64吨C/公顷和3-4吨C/公顷。大树碳与枯落物碳之间呈线性正相关（R（149）= 0.61，p < 0.01）。可见，人为干扰程度对本研究森林碳汇有显著影响。
SUMMARY This is the first study on carbon stock estimation in the tropical evergreen broadleaf forests in Central Highland, Vietnam. As result of selective logging and shifting cultivation, remaining forests are silviculturally classified to five categories by governmental standard basing on standing volume (V), including very poor forest (V ≤ 10 m3/ha), poor forest (10 300 m3/ha). Carbon stock of four pools including big trees (diameter at breast height/dbh ≥ 5 cm), short vegetation layer (dbh < 5 cm), necromass, and soil was measured by using 150 plots of 50 m × 50 m each. Soil carbon stock was assessed from soil samples taken to 30 cm depth. The results indicated total carbon stock increased from 75 tons C/ha in very poor forest to 199 tons C/ha in medium forest, and to 255 tons C/ha in very rich forest. Carbon stock in necromass was significant different (ANOVA; F(4,145) = 61.70, p < 0.001) among forest categories (from 4 to 8 tons C/ha). Meanwhile, there were no differences of carbon stock in soil and short vegetation layer among forest categories, which ranged 59–64 tons C/ha and 3–4 tons C/ha, respectively. There was a linear positive relationship between carbon in big trees and that in necromass (R(149) = 0.61, p < 0.01). It is concluded that the degree of human disturbance had significant impacts on carbon sink in the present study forests.