A new estimate of carbon for Bangladesh forest ecosystems with their spatial distribution and REDD+ implications

Mukul, Sharif A., Biswas, Shekhar R., Rashid, A. Z. M. Manzoor, Miah, Md. Danesh, Kabir, Md. Enamul, Uddin, Mohammad Belal, Alamgir, Mohammed, Khan, Niaz Ahmed, Sohel, Md. Shawkat Islam, Chowdhury, Mohammad Shaheed Hossain, Khan, Md. Parvez Rana, Rahman, Syed Ajijur, Arfin, Mohammed Abu Sayed and Hoque, Muhammad Al-Amin (2014) A new estimate of carbon for Bangladesh forest ecosystems with their spatial distribution and REDD+ implications. International Journal of Research on Land-use Sustainability, 1 1: 33-41. doi:10.13140/RG.2.1.4864.2166

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Author Mukul, Sharif A.
Biswas, Shekhar R.
Rashid, A. Z. M. Manzoor
Miah, Md. Danesh
Kabir, Md. Enamul
Uddin, Mohammad Belal
Alamgir, Mohammed
Khan, Niaz Ahmed
Sohel, Md. Shawkat Islam
Chowdhury, Mohammad Shaheed Hossain
Khan, Md. Parvez Rana
Rahman, Syed Ajijur
Arfin, Mohammed Abu Sayed
Hoque, Muhammad Al-Amin
Title A new estimate of carbon for Bangladesh forest ecosystems with their spatial distribution and REDD+ implications
Journal name International Journal of Research on Land-use Sustainability
ISSN 2200-5978
Publication date 2014-06
Sub-type Critical review of research, literature review, critical commentary
DOI 10.13140/RG.2.1.4864.2166
Open Access Status File (Publisher version)
Volume 1
Issue 1
Start page 33
End page 41
Total pages 9
Place of publication [Stanford, CA, USA]
Publisher The Centre for Research on Land-use Sustainability
Language eng
Abstract In tropical developing countries, reducing emissions from deforestation and forest degradation (REDD+) is becoming an important mechanism for conserving forests and protecting biodiversity. A key prerequisite for any successful REDD+ project, however, is obtaining baseline estimates of carbon in forest ecosystems. Using available published data, we provide here a new and more reliable estimate of carbon in Bangladesh forest ecosystems, along with their geo-spatial distribution. Our study reveals great variability in carbon density in different forests and higher carbon stock in the mangrove ecosystems, followed by in hill forests and in inland Sal (Shorea robusta) forests in the country. Due to its coverage, degraded nature, and diverse stakeholder engagement, the hill forests of Bangladesh can be used to obtain maximum REDD+ benefits. Further research on carbon and biodiversity in under-represented forest ecosystems using a commonly accepted protocol is essential for the establishment of successful REDD+ projects and for the protection of the country’s degraded forests and for addressing declining levels of biodiversity.
Keyword Carbon budget
Forest conservation
Forest ecosystem
REDD+
Bangladesh
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: School of Geography, Planning and Environmental Management Publications
School of Agriculture and Food Sciences
 
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Created: Tue, 21 Jun 2016, 11:46:54 EST by Mary-Anne Marrington on behalf of Learning and Research Services (UQ Library)