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A multi-purpose National Forest Inventory in Bangladesh: design, operationalisation and key results

جرد وطني متعدد الأغراض للغابات في بنغلاديش: التصميم والتشغيل والنتائج الرئيسية
Authors: Md. Akhter Hossain; Mohammed Jashimuddin; Rakibul Hassan Mukul; Karl Wurster; Purnata Chakma; Luca Birigazzi; Luca Birigazzi; +47 Authors

A multi-purpose National Forest Inventory in Bangladesh: design, operationalisation and key results

Abstract

Abstract Background National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and forests. These systems are especially important in a country like Bangladesh, which is characterised by a large population density, climate change vulnerability and dependence on natural resources. With the aim of supporting the Government’s actions towards sustainable forest management through reliable information, the Bangladesh Forest Inventory (BFI) was designed and implemented through three components: biophysical inventory, socio-economic survey and remote sensing-based land cover mapping. This article documents the approach undertaken by the Forest Department under the Ministry of Environment, Forests and Climate Change to establish the BFI as a multipurpose, efficient, accurate and replicable national forest assessment. The design, operationalization and some key results of the process are presented. Methods The BFI takes advantage of the latest and most well-accepted technological and methodological approaches. Importantly, it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international entities. Overall, 1781 field plots were visited, 6400 households were surveyed, and a national land cover map for the year 2015 was produced. Innovative technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map, an object-based national land characterisation system, consistent estimates between sample-based and mapped land cover areas, use of mobile apps for tree species identification and data collection, and use of differential global positioning system for referencing plot centres. Results Seven criteria, and multiple associated indicators, were developed for monitoring progress towards sustainable forest management goals, informing management decisions, and national and international reporting needs. A wide range of biophysical and socioeconomic data were collected, and in some cases integrated, for estimating the indicators. Conclusions The BFI is a new information source tool for helping guide Bangladesh towards a sustainable future. Reliable information on the status of tree and forest resources, as well as land use, empowers evidence-based decision making across multiple stakeholders and at different levels for protecting natural resources. The integrated socio-economic data collected provides information about the interactions between people and their tree and forest resources, and the valuation of ecosystem services. The BFI is designed to be a permanent assessment of these resources, and future data collection will enable monitoring of trends against the current baseline. However, additional institutional support as well as continuation of collaboration among national partners is crucial for sustaining the BFI process in future.

Country
France
Keywords

Carbon sequestration, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, Socio-economic, Forest monitoring, Vulnerability (computing), Engineering, Computer security, Business, Operationalization, Environmental resource management, QH540-549.5, Global and Planetary Change, Global Analysis of Ecosystem Services and Land Use, Geography, Forest management, Ecology, forestry, Land-Use Suitability Assessment Using GIS, Forestry, Remote sensing, FOS: Philosophy, ethics and religion, Sustainability, Physical Sciences, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Partnership, Land cover, Epistemology, Management, Monitoring, Policy and Law, 333, Environmental science, South-Asia, Ecosystem services, Civil engineering, Global Forest Transition, Innovation, Biology, Computer science, Philosophy, FOS: Biological sciences, Environmental Science, Land use, Drivers and Impacts of Tropical Deforestation, FOS: Civil engineering, Forest inventory

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
Green
gold