Modelling spatio-temporal changes of tropical forest cover in the north-eastern region of Bangladesh: context of traditional and co-management paradigms

Ahmed N., . and Mahbub R. B., . and Hossain M. M., . and Sujauddin M., . Modelling spatio-temporal changes of tropical forest cover in the north-eastern region of Bangladesh: context of traditional and co-management paradigms. pp. 42-51. ISSN 0128-1283

Forests in Bangladesh are losing their land footprint mainly due to anthropogenic onslaught. Not much is known about the changes in tropical forest cover in Sylhet Forest Division (SFD) of Bangladesh in the backdrop of mixed managerial paradigms (i.e. traditionally managed and co managed). This study was aimed at (1) modelling changes in forest cover over the temporal domain 1988“2018 (2) projecting future gain/loss of forest cover and (3) comparing changes between areas under co-management and traditional management. The study was based on satellite image pixel classification through machine learning area interpolation regression-based modelling for forest cover and future projections. SFD comprising 18 forests has been grouped into 10 forest patches for analysis. Mean forest cover area was 121 533 ha in 1988“1997 which declined to 120 216 ha in 1998“2007. Comparison between the area values of the two time intervals showed that the forest cover area has increased from 120 216 ha in 1998“2007 to 124 556 ha in 2007“2018. In the managerial perspective the study showed aggregated loss in patches under co-management and aggregated gain in patches under traditional forest management. This study has legislative implications from managerial perspective of forest cover changes.

Full text available from: Official URL: https://info.frim.gov.my/infocenter_applications/j...

Abstract

Forests in Bangladesh are losing their land footprint mainly due to anthropogenic onslaught. Not much is known about the changes in tropical forest cover in Sylhet Forest Division (SFD) of Bangladesh in the backdrop of mixed managerial paradigms (i.e. traditionally managed and co managed). This study was aimed at (1) modelling changes in forest cover over the temporal domain 1988“2018 (2) projecting future gain/loss of forest cover and (3) comparing changes between areas under co-management and traditional management. The study was based on satellite image pixel classification through machine learning area interpolation regression-based modelling for forest cover and future projections. SFD comprising 18 forests has been grouped into 10 forest patches for analysis. Mean forest cover area was 121 533 ha in 1988“1997 which declined to 120 216 ha in 1998“2007. Comparison between the area values of the two time intervals showed that the forest cover area has increased from 120 216 ha in 1998“2007 to 124 556 ha in 2007“2018. In the managerial perspective the study showed aggregated loss in patches under co-management and aggregated gain in patches under traditional forest management. This study has legislative implications from managerial perspective of forest cover changes.

[error in script]

Item Type:	Article
AGROVOC Term:	Forests
AGROVOC Term:	Tropical forests
AGROVOC Term:	Satellite imagery
AGROVOC Term:	Forest cover
AGROVOC Term:	Land cover mapping
AGROVOC Term:	Land cover
AGROVOC Term:	Land cover change
AGROVOC Term:	Forest management
AGROVOC Term:	Sustainable land management
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:54
URI:	http://webagris.upm.edu.my/id/eprint/8850

Actions (login required)

View Item