Application of Computer Language to Evaluate Carbon Credit from Mangroves of Indian Sundarbans

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Authors

  • Sitangshu Roy
     Department of Oceanography, Techno India University, West Bengal, EM 4 Salt Lake, Sector V, Kolkata-700091 ,IN
  • Nabonita Pal
     Department of Oceanography, Techno India University, West Bengal, EM 4 Salt Lake, Sector V, Kolkata-700091 ,IN
  • Mourani Sinha
     Department of Mathematics, Techno India University, West Bengal, EM 4 Salt Lake, Sector V, Kolkata-700091 ,IN
  • Sufia Zaman
     Department of Oceanography, Techno India University, West Bengal, EM 4 Salt Lake, Sector V, Kolkata-700091 ,IN
  • Abhijit Mitra
     Department of Marine Science, University of Calcutta, 35 B. C. Road, Kolkata-700019 ,IN

Keywords:

Indian Sundarbans, Mangroves, C- Language, CO2 -e, Carbon credit

Abstract

Mangroves are known for several ecosystem services of which carbon sequestration under the regulating service has gained momentum in recent years. This study aims to evaluate the carbon credit (in INR) from four mangrove patches at Kakdwip and Chemaguri in the western Indian Sundarbans, and Bali Island and Jharkhali in the central Indian Sundarbans. Carbon dioxide equivalent (CO2 -e) was estimated using C- Language based on which the cost of mangroves in both the sectors was estimated as per the different rates proposed by different agencies/ organizations. We observed relatively high price of mangroves in the western sector compared to the central sector of Indian Sundarbans in context to carbon credit.

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Published

2024-03-25

Issue

Volume 20, Issue 2, 2023

Section

Articles

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