Exploring the socioeconomic drivers of deforestation in Bangladesh: The case of Teknaf Wildlife Sanctuary and its surrounding community

Exploring the socioeconomic drivers of deforestation in Bangladesh: The case of Teknaf Wildlife Sanctuary and its surrounding community
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探索孟加拉国森林砍伐的社会经济驱动因素:以特克纳夫野生动物保护区及其周边社区为例

DOI:
10.1016/j.tfp.2021.100167
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发表时间:
2022
影响因子:
--
通讯作者:
Tani Masakazu
Tani Masakazu
中科院分区:
--
文献类型:
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作者:
Ullah S.M. Asik;Tsuchiya Jun;Asahiro Kazuo;Tani Masakazu

文献摘要

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孟加拉国在其森林保护区内正在经历森林砍伐。其无法阻止森林砍伐的原因之一是缺乏适当的了解森林砍伐的过程和驱动程序负责it.This研究旨在阐明社会经济因素的影响森林砍伐的PA在孟加拉国海岸被称为Teknaf野生动物保护区(TWS)。为了了解毁林的驱动因素,探讨了社区参与毁林进程的程度。当地社区根据参与各种毁林驱动因素进行分组。然后对这些群体进行比较,以确定影响其参与毁林可能性的社会经济因素。社区调查覆盖了TWS周围社区10%的家庭,并采访了5769名户主。这项研究发现,2150户(占所有调查户的37%)从事薪材收集,623户(11%)侵占TWS,506户(9%)种植槟榔叶。因此,45%的家庭参与了某种形式的森林砍伐驱动程序。在社会经济因素中,拥有小财产的新家庭参与毁林驱动因素的可能性更大。此外,相对贫穷的家庭参与毁林的可能性要高得多。在职业方面,农民和工人与森林砍伐有关的可能性更高。这项研究揭示了社会经济因素的复杂的相互作用,影响在孟加拉国的特定PA内发生的毁林过程,根据现有的森林政策。这一认识有助于决策者和森林管理人员制定有效的森林政策和更可持续地管理森林。
Bangladesh is experiencing deforestation within its protected forest areas (PAs). One reason for its inability to stem deforestation is the lack of a proper understanding of the deforestation process and the drivers responsible for it. This study aims to elucidate the socioeconomic factors influencing deforestation within a PA on the coast of Bangladesh known as Teknaf Wildlife Sanctuary (TWS). In the quest to understand the drivers of deforestation, the extent of community involvement in the deforestation process was explored. The local community was grouped based on their involvement in various deforestation drivers. These groups were then compared to determine the socioeconomic factors influencing the likelihood of their involvement in deforestation. The community survey covered 10% of households in the community surrounding TWS and involved interviewing 5769 household heads. This study found that 2150 households (37% of all surveyed households) were engaged in fuelwood collection, 623 (11%) were encroaching on the TWS, and 506 (9%) were cultivating betel leaves. Therefore, 45% of households were engaged in some form of deforestation driver. Among the socioeconomic factors, new households with small properties had a higher likelihood of being involved in deforestation drivers. Moreover, comparatively poor households had a significantly higher probability of being engaged in deforestation. Regarding occupations, farmers and laborers had a higher likelihood of being associated with deforestation. This study sheds light on the complex interplay of socioeconomic factors influencing the deforestation process occurring within a specific PA in Bangladesh under existing forest policies. This understanding can be useful for policymakers and forest managers in developing effective forest policies and managing forests more sustainably.