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Cost of Ecosystem Service Value Due to Rohingya Refugee Influx in Bangladesh

Published online by Cambridge University Press:  27 June 2022

Showmitra Kumar Sarkar Open the ORCID record for Showmitra Kumar Sarkar [Opens in a new window] ,
Md. Mustafa Saroar Open the ORCID record for Md. Mustafa Saroar [Opens in a new window]  and
Tanmoy Chakraborty
Showmitra Kumar Sarkar*
Affiliation:
Department of Urban and Regional Planning, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh
Md. Mustafa Saroar
Affiliation:
Department of Urban and Regional Planning, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh
Tanmoy Chakraborty
Affiliation:
Department of Urban and Regional Planning, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh
*
Corresponding author: Showmitra Kumar Sarkar, E-mail: mail4dhrubo@gmail.com.
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Abstract

Objective:

The objective of the research is to estimate the cost of ecosystem service value (ESV) due to the Rohingya refugee influx in Ukhiya and Teknaf upazilas of Bangladesh.

Methods:

Artificial neural network (ANN) supervised classification technique was used to estimate land use/land cover (LULC) dynamics between 2017 (ie, before the Rohingya refugee influx) and 2021. The ESV changes between 2017 and 2021 were assessed using the benefit transfer approach.

Results:

According to the findings, the forest lost 54.88 km2 (9.58%) because of the refugee influx during the study. Around 47.26 km2 (8.25%) of settlement was increased due to the need to provide shelter for Rohingya refugees in camp areas. Due to the increase in Rohingya refugee settlements, the total ESV increased from US $310.13 million in 2017 to US $332.94 million in 2021. Because of the disappearance of forest areas, the ESV for raw materials and biodiversity fell by 13.58% and 14.57%, respectively.

Conclusion:

Natural resource conservation for long-term development will benefit from the findings of this study.

Keywords

artificial neural networkecosystemecosystem service valueLULCRohingya refugees
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 17 , 2023 , e198
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc.

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