Tracking forest recovery: Early biomass and carbon stock monitoring in the Rohingya Refugee camps, Cox's Bazar, Bangladesh

Q2 Environmental Science
Hossain Mahmood , Chameli Saha , Sanjoy Saha
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引用次数: 0

Abstract

Rohingya influx in Bangladesh destructed about 3200 ha of the reserved forest of Cox's Bazar South Forest Division. The restoration initiatives were launched in 2019 for 292 ha of degraded forest areas. This study assessed biomass and carbon stock in the restored sites of the Rohingya Refugee camps. Thirty-four timber, fodder, fruits, and fuelwood species were planted and the natural regeneration of 14 native species was recorded in the restored sites. The density and basal area ranges of the restored sites were from 0 to 4600 trees/ha and 0 to 33.47 m2/ha, respectively. The total aboveground and below-ground biomass were 33.34±5.76 t/ha and 2.26±0.32 t/ha, respectively. The total carbon stock in five pools varied from 8.84 to 149.86 (t/ha) with a mean of 93.90±4.85 t/ha, with soil carbon representing the largest pool. The mean carbon pools for above-ground (trees and undergrowth), lotter, dead woody debris, root and soil (up to 30 cm depth) were 16.37 t/ha, 0.15 t/ha, 0.11 t/ha, 1.03 t/ha and 76.29 t/ha respectively. The best fit allometric models (adjusted R2 > 0.97) for the above-ground biomass and carbon stock in trees were Ln(Y) = 1.30 + 1.11 Ln(x1) and Ln(Y) = 0.61 + 1.11 Ln(x1), respectively. The derived allometric models demonstrated high accuracy, providing tools for restoration monitoring. These findings highlight the success of reforestation in enhancing biomass and carbon sequestration, although continued protection of restored areas is essential for sustainable forest management and climate mitigation.
涌入孟加拉国的罗兴亚人破坏了科克斯巴扎尔南森林区约3200公顷的保留森林。2019年启动了292公顷退化林地的恢复计划。本研究评估了罗兴亚难民营恢复地点的生物量和碳储量。在恢复的地点种植了34种木材、饲料、水果和薪材,记录了14种本地物种的自然更新。恢复样地密度范围为0 ~ 4600株/ha,基面积范围为0 ~ 33.47 m2/ha。地上生物量为33.34±5.76 t/ha,地下生物量为2.26±0.32 t/ha。5个库的总碳储量在8.84 ~ 149.86 (t/ha)之间变化,平均为93.90±4.85 t/ha,土壤碳储量最大。地表(树木和林下)、植被、枯死木屑、根系和土壤(30 cm深度以下)的平均碳库分别为16.37 t/ha、0.15 t/ha、0.11 t/ha、1.03 t/ha和76.29 t/ha。最适合异速生长模型(调整R2 >;地上生物量和树木碳储量分别为Ln(Y) = 1.30 + 1.11 Ln(x1)和Ln(Y) = 0.61 + 1.11 Ln(x1)。所建立的异速生长模型具有较高的精度,为恢复监测提供了工具。这些发现突出表明,重新造林在增强生物量和碳固存方面取得了成功,尽管继续保护恢复的地区对于可持续森林管理和减缓气候变化至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
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