九州大学 研究者情報
論文一覧
ULLAH S M ASIK(うつらー えす えむ あしつく) データ更新日:2023.10.16

助教 /  芸術工学研究院 環境設計部門


原著論文
1. S M Asik Ullah, Kazuo Asahiro, Masao Moriyama, Masakazu Tani, Socioeconomic Status Changes of the Host Communities after the Rohingya Refugee Influx in the Southern Coastal Area of Bangladesh, Sustainability, 10.3390/su13084240, 13, 8, 4240-4240, 2021.04, The refugee influx from Myanmar, known as Rohingya refugees, is a serious concern for global refugee issues. Bangladesh currently hosts one million Rohingya refugees in the coastal district of Cox’s Bazar. Considering the number of the refugees, in addition to the humanitarian concerns, they are also creating pressure on the local host communities. This study explored the socioeconomic changes of the host communities after the refugee influx. In order to fulfill this study’s objectives, 35 villages near the Rohingya refugee camps from the coastal district of Bangladesh were surveyed. In the villages, 10% of households were surveyed in 2016 and also in 2020, covering 1924 and 2265 households, respectively. A temporal comparison of the host community’s socioeconomic status between 2016 and 2020 was conducted in order to determine the changes after the recent refugee influx. This study found that the local community’s socioeconomic status degraded. The annual income decreased by 24%, which is unusual for a country with over 6% gross domestic product (GDP) growth in recent times. The income decreased from all livelihood options except farming, which could be related to the availability of cheap labor and the high demand for commodities. The villages were clustered using k-means, and 20 villages were found to be affected after the refugee influx with degraded socioeconomic status. The host community’s general perception was initially positive, but later turned negative toward the refugees. This study will be important for the government and donor agencies to develop strategies to properly manage the refugee camps and adjacent host communities..
2. Maiko Sakamoto, Shah M. Asik Ullah, Masakazu Tani, Land Cover Changes after the Massive Rohingya Refugee Influx in Bangladesh: Neo-Classic Unsupervised Approach, Remote Sensing, 10.3390/rs13245056, 13, 24, 5056-5056, 2021.12, The Rohingya refugee influx to Bangladesh in 2017 was a historical incident; the number of refugees was so massive that significant impacts to local communities was inevitable. The Bangladesh government provided land in a preserved area for constructing makeshift camps for the refugees. Previous studies have revealed the land cover changes and impacts of the refugee influx around campsites, especially with regard to local forest resources. Our aim is to establish a convenient approach of providing up-to-date information to monitor holistic local situations. We employed a classic unsupervised technique—a combination of k-means clustering and maximum likelihood estimation—with the latest rich time-series satellite images of Sentinal-1 and Sentinal-2. A combination of VV and normalized difference water index (NDWI) images was successful in identifying built-up/disturbed areas, and a combination of VH and NDWI images was successful in differentiating wetland/saltpan, agriculture /open field, degraded forest/bush, and forest areas. By doing this, we provided annual land cover classification maps for the entire Teknaf peninsula for the pre- and post-influx periods with both fair quality and without prior training data. Our analyses revealed that on-going impacts were still observed by May 2021. As a simple estimation of the intervention consequence, the built-up/disturbed areas increased 6825 ha (compared with the 2015–17 period). However, while the impacts on the original forest were not found to be significant, the degraded forest/bush areas were largely degraded by 4606 ha. These cultivated lands would be used for agricultural activities. This is in line with the reported farmers’ increased income, despite local people with other occupations that are all equally facing the decreases in income. The convenience of our unsupervised classification approach would help keep accumulating a time-series land cover classification, which is important in monitoring impacts on local communities..
3. S M Asik Ullah, Masakazu Tani, Jun Tsuchiya, M.Abiar Rahman, Masao Moriyama, Impact of protected areas and co-management on forest cover: A case study from Teknaf Wildlife Sanctuary, Bangladesh, Land Use Policy, 10.1016/j.landusepol.2021.105932, 113, 105932-105932, 2022.02.
4. S.M. Asik Ullah, Jun Tsuchiya, Kazuo Asahiro, Masakazu Tani, Exploring the socioeconomic drivers of deforestation in Bangladesh: The case of Teknaf Wildlife Sanctuary and its surrounding community, Trees, Forests and People, 10.1016/j.tfp.2021.100167, 7, 100167-100167, 2022.03.
5. S M Asik Ullah Jun Tsuchiya Kazuo Asahiro Masakazu Tani, Exploring the socioeconomic drivers of deforestation in Bangladesh: The case of Teknaf Wildlife Sanctuary and its surrounding community, Journal of Trees, Forests and People, https://doi.org/10.1016/j.tfp.2021.100167, 7, 1-12, 2022.03, [URL], 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.

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6. S M Asik Ullah Jun Tsuchiya Masakazu Tani M Abiar Rahman Masao Moriyama, Impact of protected areas and co-management on forest cover: A case study from Teknaf Wildlife Sanctuary, Bangladesh, Land Use Poliocy, https://doi.org/10.1016/j.landusepol.2021.105932, 113, 105932, 1-13, 2022.02, [URL], Deforestation is a matter of serious global concern. Establishing protected areas (PAs), which cover nearly 15% of the world’s surface, is one of the leading approaches to forest conservation. The recent global expansion of PAs has led to the inclusion of local communities in the forest management process, an approach referred to as “co-management.” PAs under co-management are expected to conserve biodiversity while providing support to local communities. This trend for forest co-management has shown mixed results, and a better understanding of its impact on forests and people is required. This study attempts to explore the forest-cover change in a PA of Bangladesh—the Teknaf Wildlife Sanctuary (TWS). Remote sensing will be used to assess the land-cover change, followed by a household survey to define the impact of local settlements responsible for this change. To analyze the impact of PA and co-management on forest cover, satellite images from 1989, 2007, 2009, and 2015 were considered due to the availability of quality images. The study found that from 1989 to 2015, the region saw a 46% decrease in forest cover compared to 64% inside the PA boundary; deforestation occurred more inside the PA than outside. Moreover, after the implementation of a co-management approach, the rate of deforestation increased inside the PA. Besides the forest conversion, the tree coverage shifted from the core forest area toward the settlement area, causing serious negative impacts on biodiversity. The household survey listed 57,404 households in the region, among which 5195 were situated inside the PA. Co-management in PAs was intended to involve local communities in forest management, but this study showed that the local community is causing more deforestation and shifting the tree coverage towards the forest boundaries. The creation of a large, multi-use buffer zone to ensure the long-term tenure of the core forest area could be a viable option. Such buffer zones can provide effective security and enhance local people’s livelihoods..
7. Asik SM Ullah, Masakazu Tani, Jun Tsuchiya, Abiar M Rahman, Zulfikar M Rahman, Impact of Betel Leaf Cultivation on the Protected Forest Area of Teknaf Peninsula, Bangladesh, Small-scale Forestry, https://doi.org/10.1007/s11842-020-09441-w, 2020.04.
8. Md Abiar Rahman, Masakazu Tani, Kazuo Asahiro, SM Asik Ullah, Species Composition, Diversity and Productivity of Homesteads in Southeastern Bangladesh, Small-scale Forestry, https://doi.org/10.1007/s11842-016-9356-8, 16, 3, 295-309, 2017.09, [URL].
9. ウラー イスイム アシック, Fuelwood Consumption and its Impact on Forest in the Teknaf Peninsula on the Southern Coast of Bangladesh, American Journal of Environmental Science, 13, 3, 225-232, 2017.05.
10. Mariym Sultana Marry, Kazuo Asahiro, S. M. Asik Ullah, Masao Moriyama, Masakazu Tani, Maiko Sakamoto, Assessing local people's preferences for landscape character in Teknaf peninsula for sustainable landscape conservation and development, International Review for Spatial Planning and Sustainable Development, 10.14246/irspsd.6.2_50, 6, 2, 50-63, 2018.04, © 2018, SPSD Press. Sustainable development requires better understanding of the human-landscape relationship in forested landscapes, one that facilitates more locally relevant and sustainable management. It can be more easily understood by the process of landscape characterisation and humans' valuation. Therefore, this study assesses local people's preferences and perceptions about the physical landscape, which is crucial for managing landscape and livelihood. The study investigates the diversification of landscape character types and landscape character areas (LCA), local people's perceptions about and preferences for different LCAs, and how and why they prefer some LCAs to others. An LCA is a distinct type of landscape that is relatively homogenous in character. Two different villages located in Teknaf peninsula, Bangladesh, are examined where the villages were selected by calculating vegetation cover within a buffer of 1 kilometre. Landform and vegetation data were collected as physical characteristics of the landscape to identify the LCA, and data for local people's perception and preferences were collected through focus group discussions and questionnaire surveys by selecting 10% of the households of each village in March 2016. The findings show that in Kerantali the diversification of landscape character types was more than in Tulatali. Homestead garden areas are highly preferred in Tulatali and forest is highly preferred in Kerantali. Kerantali's people receive poor material benefit from forest areas, whereas Tulatoli's people receive more material benefit from homestead garden areas. Furthermore, our findings indicate that homestead gardens play an important role as a supplement to forests..
11. MZ Rahman, M Tani, AZMM Uddin, SMA Ullah, Use of information sources in maintaining livelihoods by Rohingya refugees around Teknaf Wildlife Sanctuary, Journal of Agroforestry and Environment, 7, 2, 15-18, 2013.02, [URL].

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