Development of national database on long-term deforestation (1930–2014) in Bangladesh

Reddy, C. Sudhakar; Pasha, S. Vazeed; Jha, Chandra Shekhar; Diwakar, P. G.; Dadhwal, V. K.

doi:10.1016/j.gloplacha.2016.02.003

Cited by 82 publications

(57 citation statements)

References 15 publications

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“…Furthermore, it decreased 0.016 ha in 2011 [122], the smallest value in a global compilation. The historical spatial study on forest cover change was found decreasing trend from 15.7% to 9.5% during 85 years [23]. Furthermore, Giri and Shrestha (1996) also found the total forest cover by 14% in 1989.…”

Section: The Effects Of Forest Cover and Water Bodies Changesmentioning

confidence: 89%

“…U.S. topographic maps and recent high-resolution satellite image-based analysis have indicated that forest cover declined from 15.7 to 9.5% from 1930 to 2014 (Figure 4a). Forest change has been primarily to shrubland for agricultural and plantation use [23]. Additionally, shifting cultivation has also driven forest cover degradation, as documented from 1985/86 to 1992/93.…”

Section: Collection Of Literatures (Searched By Abstract In Differentmentioning

confidence: 99%

“…However, only few studies have adopted the spatial data sources to examine the LUCC at a national scale [10,17,23,31]. These existing studies based on spatial and non-spatial data sources have produced dissimilar research findings even in cases where the satellite images were acquired at the same time and have an identical spatial resolution.…”

Section: Comparison Of Historical Databasementioning

confidence: 99%

“…The historical spatial dataset of forest cover since 1930 were prepared by Reddy et al (2016) using topographic maps with a scale of 1:250,000 and different satellite images. For 1930For -1977, some studies were conducted based on spatial and non-spatial data sources.…”

Section: Comparison Of Historical Databasementioning

confidence: 99%

“…Moreover, the results show large uncertainties and discrepancies in the spatial-temporal status of historical LUCC. For example, agricultural land accounted for 65% of land cover in 2015 [124], but was only 62.2% in 2014 [23]. Changes in all LULC categories are consistently higher in non-spatial based studies, such as those based on BBS statistics, questionnaires, and field surveys rather than studies based on a spatial dataset.…”

Section: Comparison Of Historical Databasementioning

confidence: 99%

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A Synthesis of Studies on Land Use and Land Cover Dynamics during 1930–2015 in Bangladesh

et al. 2017

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Land use and land cover (LULC) is dynamic and changes in it have important environmental and socio-economic consequences. The pathways and pace of change vary with space and time and are related to the interaction between human activities and biophysical conditions in an area. This study provides a systematic review of the changing status, patterns, and compositions of LULC in Bangladesh on national, regional, and local scales over the past 85 years. The primary LULC classes in Bangladesh are agricultural land, urban and built-up area, forest and vegetation, water bodies, and wetlands. Most of the country is covered with agricultural land, followed by urban areas; the latter has been expanding rapidly in the area surrounding the capital city, Dhaka, especially the southern capital area. Forest cover is mostly concentrated in southeast Bangladesh, the Chittagong district, and the mangrove forests are predominantly located in the southwest, with the Gangetic delta. High population growth, rapid urbanization, and infrastructure development have been directly associated with changing patterns of land use across the country. In recent decades, urban areas and water bodies have been increasing, to the detriment of both forests and agricultural land. Most of the studies reviewed here describe a general trend involving agricultural and forested land being transformed into urban areas.

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Section: The Effects Of Forest Cover and Water Bodies Changesmentioning

confidence: 89%

Section: Collection Of Literatures (Searched By Abstract In Differentmentioning

confidence: 99%

Section: Comparison Of Historical Databasementioning

confidence: 99%

Section: Comparison Of Historical Databasementioning

confidence: 99%

Section: Comparison Of Historical Databasementioning

confidence: 99%

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