A remote sensing approach to identify environmental economics considering blue carbon sequestration in Satkhira coastal area, Bangladesh

Raiyan Siddique, M. R. Ashikur, Taspiya Hamid, Mohammad Azharul Islam

Article ID: 7981
Vol 7, Issue 2, 2024

VIEWS - 52 (Abstract) 13 (PDF)

Abstract


The persistence of coastal ecosystems is jeopardized by deforestation, conversion, and climate change, despite their capacity to store more carbon than terrestrial vegetation. The study’s objectives were to investigate how spatiotemporal changes impacted blue carbon storage and sequestration in the Satkhira coastal region of Bangladesh over the past three decades and, additionally to assess the monetary consequences of changing blue carbon sequestration. For analyzing the landscape change (LSC) patterns of the last three decades, considering 1992, 2007, and 2022, the LSC transformations were evaluated in the research area. Landsat 5 of 1992 and 2007, and Landsat 8 OLI-TIRS multitemporal satellite images of 2022 were acquired and the Geographical Information System (GIS), Remote Sensing (RS) techniques were applied for spatiotemporal analysis, interpreting and mapping the output. The spatiotemporal dynamics of carbon storage and sequestration of 1992, 2007, and 2022 were evaluated by the InVEST carbon model based on the present research years. The significant finding demonstrated that anthropogenic activity diminished vegetation cover, vegetation land decreased by 7.73% over the last three decades, and agriculture land converted to mariculture. 21.74% of mariculture land increased over the last 30 years, and agriculture land decreased by 12.71%. From 1992 to 2022, this constant LSC transformation significantly changed carbon storage, which went from 11706.12 Mega gram (Mg) to 9168.03 Mg. In the past 30 years, 2538.09 Mg of carbon has been emitted into the atmosphere, with a combined market worth of almost 0.86 million USD. The findings may guide policymakers in establishing a coastal management strategy that will be beneficial for carbon storage and sequestration to balance socioeconomic growth and preserve numerous environmental services.


Keywords


remote sensing; geographical information system; InVEST carbon model; blue carbon storage and sequestration; environmental economics

Full Text:

PDF


References


1. Bertram C; Quaas M; Reusch TBH; Vafeidis AT; Wolff C; Rickels W. The blue carbon wealth of nations. Nat Clim Chang. 2021;11(8):704-709. doi:10.1038/s41558-021-01089-4

2. Bindu G; Rajan P; Jishnu ES; Ajith Joseph K. Carbon stock assessment of mangroves using remote sensing and geographic information system. Egyptian Journal of Remote Sensing and Space Science. 2020;23(1):1-9. doi:10.1016/j.ejrs.2018.04.006

3. Harishma KM; Sandeep S; Sreekumar VB. Biomass and carbon stocks in mangrove ecosystems of Kerala; southwest coast of India. Ecol Process. 2020;9(1). doi:10.1186/s13717-020-00227-8

4. Taillardat P; Friess DA; Lupascu M. Mangrove blue carbon strategies for climate change mitigation are most effective at the national scale. Biol Lett. 2018;14(10). doi:10.1098/rsbl.2018.0251

5. Atchison J. Green and Blue Infrastructure in Darwin; Carbon Economies and the Social and Cultural Dimensions of Valuing Urban Mangroves in Australia. Urban Science. 2019;3(3):86. doi:10.3390/urbansci3030086

6. Aljenaid S; Abido M; Redha GK; et al. Assessing the spatiotemporal changes; associated carbon stock; and potential emissions of mangroves in Bahrain using GIS and remote sensing data. Reg Stud Mar Sci. 2022;52:102282. doi:10.1016/j.rsma.2022.102282

7. Zhao C; Fang C; Gong Y; Lu Z. The economic feasibility of Blue Carbon cooperation in the South China Sea region. Mar Policy. 2020;113(November 2019):103788. doi:10.1016/j.marpol.2019.103788

8. Steven ADL; Vanderklift MA; Bohler-Muller N. A new narrative for the Blue Economy and Blue Carbon. Journal of the Indian Ocean Region. 2019;15(2):123-128. doi:10.1080/19480881.2019.1625215

9. Jiezzelle V; Nesperos C; Mico C; Villanueva M; Garcia JE; Gevaña DT. Assessment of blue carbon stock of mangrove vegetation in Infanta; Quezon; Philippines. Ecosystems and Development Journal. 2021;11(1 and 2):48-60.

10. Carr EW; Shirazi Y; Parsons GR; Hoagland P; Sommerfield CK. Modeling the Economic Value of Blue Carbon in Delaware Estuary Wetlands: Historic Estimates and Future Projections. J Environ Manage. 2018;206:40-50. doi:10.1016/j.jenvman.2017.10.018

11. Sudirman N; Helmi M; Salim HL. Geospatial Modeling of Blue Carbon Ecosystem Coastal Degradation in Jakarta Bay. Indonesian Journal of Oceanography. 2019;1(1):80-92. doi:10.14710/ijoce.v1i1.6266

12. Islam MM; Shamsuddoha M. Coastal and marine conservation strategy for Bangladesh in the context of achieving blue growth and sustainable development goals (SDGs). Environ Sci Policy. 2018;87(12):45-54. doi:10.1016/j.envsci.2018.05.014

13. Whisnant; R. and AReyes. Blue Economy for Business in East Asia: Towards an Integrated Understanding of Blue Economy. Quezon City; Philippines: Partnerships in Environmental Management for the Seas of East Asia (PEMSEA). Published online 2015.

14. Sejati AW; Buchori I; Kurniawati S; Brana YC; Fariha TI. Quantifying the impact of industrialization on blue carbon storage in the coastal area of Metropolitan Semarang; Indonesia. Applied Geography. 2020;124(June):102319. doi:10.1016/j.apgeog.2020.102319

15. Walcker R; Gandois L; Proisy C; et al. Control of “blue carbon” storage by mangrove ageing: Evidence from a 66-year chronosequence in French Guiana. Glob Chang Biol. 2018;24(6):2325-2338. doi:10.1111/gcb.14100

16. Pechanec V; Purkyt J; Benc A; Nwaogu C; Štěrbová L; Cudlín P. Modelling of the carbon sequestration and its prediction under climate change. Ecol Inform. 2018;47(February):50-54. doi:10.1016/j.ecoinf.2017.08.006

17. Moritsch MM; Young M; Carnell P; et al. Estimating blue carbon sequestration under coastal management scenarios. Science of the Total Environment. 2021;777:145962. doi:10.1016/j.scitotenv.2021.145962

18. Pekkarinen A. Global Forest Resources Assessment 2020. Global Forest Resources Assessment 2020. Published online 2020. doi:10.4060/ca8753en

19. Giri RKKV; Mandla VR. Study and evaluation of carbon sequestration using remote sensing and GIS: A review on various techniques. International Journal of Civil Engineering and Technology. 2017;8(4):287-300.

20. Zheng Y; Takeuchi W. Quantitative assessment and driving force analysis of mangrove forest changes in china from 1985 to 2018 by integrating optical and radar imagery. ISPRS Int J Geoinf. 2020;9(9). doi:10.3390/ijgi9090513

21. Ma T; Li X; Bai J; Ding S; Zhou F; Cui B. Four decades’ dynamics of coastal blue carbon storage driven by land use/land cover transformation under natural and anthropogenic processes in the Yellow River Delta; China. Science of the Total Environment. 2019;655:741-750. doi:10.1016/j.scitotenv.2018.11.287

22. Mahmud I; Mia AJ; Uddin R; Rahman M; Rahman MH. Assessment on Seasonal Variations in Waterlogging Using Remote Sensing and Gis Techniques in Satkhira District in Bangladesh. Barisal University Journal Part 1. 2017;4(1):67-80.

23. BMD. Temperature Data. Bangladesh Meteorological Department. 2022. https://www.bmd.gov.bd/

24. Islam SkM; Naher N; Roy N; Mahmud MdK; Hossain MdD; Modak S. Agricultural Adaptation Options against Adverse Effect of Climate Change in Shyamnagar Upazila in the Satkhira District; Bangladesh. Asian Journal of Research in Agriculture and Forestry. 2019;2(3):1-12. doi:10.9734/ajraf/2018/46438

25. Young NE; Anderson RS; Chignell SM; Vorster AG; Lawrence R; Evangelista PH. A survival guide to Landsat preprocessing. Ecology. 2017;98(4):920-932. doi:10.1002/ecy.1730

26. Sun Z; Ma R; Wang Y. Using Landsat data to determine land use changes in Datong basin; China. Environmental Geology. 2009;57(8):1825-1837. doi:10.1007/s00254-008-1470-2

27. Mahmud KH; Abid SB; Ahmed R. Development of a Climate Classification Map for Bangladesh Based on Koppen’s Climatic Classification. 2018;XXXIX(June).

28. Tan KC; Lim HS; MatJafri MZ; Abdullah K. Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island; Malaysia. Environ Earth Sci. 2010;60(7):1509-1521. doi:10.1007/s12665-009-0286-z

29. Ara S; Alif MAUJ; Islam KMA. Impact of Tourism on LSC and LST in a Coastal Island of Bangladesh: A Geospatial Approach on St. Martin’s Island of Bay of Bengal. Journal of the Indian Society of Remote Sensing. 2021;49(10):2329-2345. doi:10.1007/s12524-021-01389-4

30. Ashikur MR; Rupom RS; Sazzad MH. A remote sensing approach to ascertain spatial and temporal variations of seawater quality parameters in the coastal area of Bay of Bengal; Bangladesh. Remote Sens Appl. 2021;23:100593. doi:https://doi.org/10.1016/j.rsase.2021.100593

31. Chander G; Markham BL; Helder DL. Summary of current radiometric calibration coefficients for Landsat MSS; TM; ETM+; and EO-1 ALI sensors. Remote Sens Environ. 2009;113(5):893-903. doi:10.1016/j.rse.2009.01.007

32. Alam A; Bhat MS; Maheen M. Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. GeoJournal. 2020;85(6):1529-1543. doi:10.1007/s10708-019-10037-x

33. Cheema MJM; Bastiaanssen WGM. Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis. Agric Water Manag. 2010;97(10):1541-1552. doi:10.1016/j.agwat.2010.05.009

34. Olofsson P; Foody GM; Stehman S V.; Woodcock CE. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote Sens Environ. 2013;129:122-131. doi:10.1016/j.rse.2012.10.031

35. Adelisardou F; Zhao W; Chow R; Mederly P; Minkina T; Schou JS. Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain; Iran). International Journal of Environmental Science and Technology. 2022;19(7):5929-5944. doi:10.1007/s13762-021-03676-6

36. Sharp. R; Nelson E; Ennaanay D; et al. InVEST User Guide. National Capital Project. Published online 2015.

37. Rahman MdS; Akter S. Carbon Forestry: Scope and Benefit in Bangladesh. Journal of Forest and Environmental Science. 2013;29(4):249-256. doi:10.7747/jfs.2013.29.4.249




DOI: https://doi.org/10.24294/jgc7981

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Raiyan Siddique, M. R. Ashikur, Taspiya Hamid, Mohammad Azharul Islam

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.