This paper aims at identify the number of climate induced migrants in kazipur upazila with specific reference to riverbank erosion. The study has used Kazipur upazila of Sirajganj for riverbank erosion, which is already identified as the most erosion prone area in Bangladesh. People affected by river bank erosion and immediately migrate for safe shelter and later permanently for survival, are examples of practical risk. While people migrate based on the perception that in future there would be worse condition that could hamper lives and livelihood; the adverse effect of rise of riverbank erosion compels the population to migrate from one place to another. In the Kazipur upazila of Sirajganj district, 21,961 people were migrated which is 9.35 percent of the total population in recent years [1]. The precise cause of riverbank erosion in Bangladesh there are 1,29,853 people are displaced yearly [2]. Permanent migration occurred within the neighbors and mainly it happened in a tiny distance because of the need of earning source and social bonding. In this paper we have considered observed risk such as river bank erosion as causal factors of migration and rural vulnerability, which has important socioeconomic impact on rural development.

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Tossa (Corchorus olitorius L.) is a significant cash crop, cultivated commercially in the lower flood plain of Bangladesh. The climatic regimes in Bangladesh are changing as well as the world does. However, this species is threatened by climate change. Occurrences of data on threatened and endangered species are frequently sparse which makes it difficult to analyse the species suitable habitat distribution using various modelling approaches. The current paper used maximum entropy (Maxent) and educational global climate model (EdGCM) modelling to predict and conserve the suitable habitat distributions for Tossa species in Bangladesh to the year 2100. Nine environmental variables, 239 occurrence data and two Representative Concentration Pathway scenarios (RCP4.5 and RCP8.5) were used for the Maxent modelling to project the impact of climate change on the Tossa distributions. Furthermore, the EdGCM was used to study the climatic space suitability for the Tossa species in the context of Bangladesh. Both of the climatic scenarios were used for the prediction to the year 2100. The Maxent model performed better than random for the Tossa species with a high AUC value of 0.86. Under the RCP scenarios, the Maxent model predicted habitat reduction for RCP4.5 is 2%, RCP8.5 is 9% and EdGCM is 10.2% from the current localities. The predictive modelling approach presented here is promising and can be applied to other important species for conservation planning, monitoring and management, especially those under the threat of extinction due to climate change.

Ancient historical illustrations are the main introduction of any area which develops the civilization, cultural importance of the region. Wari is the most important archaeological illustration which enriches the history, culture of the surroundings of Bangladesh. As a riverine country continuous cyclone, river bank erosion, flood, landslide and other natural disasters have altered our ancient civilization since the beginning. For this reason many enriched ancient civilization and culture have engraved by rivers and our ancient arts, culture and civilization are ruined. Currently the major problem of archaeological sites is that there is no geo-spatial database prepared so far. This study therefore, is attempted to prepare a geo-spatial database on archaeological sites like Wari Bateshwar region to develop metadata, relevant information and geo-tagged photos having spatial references to fulfill the purpose of exploring and surveying archaeological sites as well as to develop a methodological framework which documents physical and cultural aspects. Primary data have been used for this study was collected through mainly field observation, interviewing and GPS survey according to predesigned information collection sheet. In this study, total 52 archaeological sites have been identified where only two are recognized by government and rests of them are unrecognized. Satellite navigation data and remote sensing imagery were also integrating with the information collection sheet. Detailed metadata and geo-tagged photos on the each archaeological site contains spatial references has been developed which will help understanding further work on archaeological sites. The govt., academic departments and the NGOs should come forward to fulfill the recommendations in the study.