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Forest Cover Change and its impact on ecosystem service value of Chure and Terai region of Nepal
* , * , * , *
1  Kathmandu University
2  Kathmandu university
Academic Editor: Luca Lelli

https://doi.org/10.3390/ECRS2023-16858 (registering DOI)
Abstract:

Proper information on forest cover change and its spatio-temporal characteristics are essential for natural resource management and sustainable development. It is one of the major factor that affect the ecosystem and the services it provides. In this study, we used remote sensing techniques and a geographical information system to extract the forest cover categories based on the Object- based Image Analysis (OBIA) techniques from Landsat TM/ETM/OLI satellite in the Chure and Terai region from 1994-2018. In addition, ecosystem service value coefficient per unit area contributed by forest cover was taken from the previous studies and adjusted by taking accounts of yearly inflation or buying power to bring about the proper estimation of the ESV in terms of money impacting forest cover area. In 1994(40.02%), forest covered the highest area and found decreased quite faster till 2004(28.87%), and afterwards a gradual decrease arriving to 2018(26.52%). The highest ESV in 1994 was found to be 78.7 billion and lowest in 2018 was found to be 43.2 billion in current fiscal year. The spatial distribution of the Ecosystem Service Value is shown by the map where immediate action can be taken. The findings of this study could facilitate the strong forest conservation policy formulation further and development management intervention.

Keywords: Ecosystem Service Value, Forest Cover change
Comments on this paper
Timothy Ferriss
This research contributes valuable insights into the relationship between forest cover change and ecosystem service value, highlighting the importance of monitoring retro bowl and conserving forest ecosystems for sustainable development.

polin kuer
The ecosystem service value coefficient per unit area contributed by forest cover was taken from previous studies and adjusted by taking into account annual inflation or purchasing power to come up with an estimate. suitable for ESV in terms of impact on forest cover area

polin kuer
In 1994(40.02%), forest covered the highest area and found decreased quite faster till 2004(28.87%), and afterwards a gradual decrease arriving to 2018(26.52%).

roxocar roxocar
Utilizing remote sensing techniques and geographical information systems, this study sheds light on the alarming decrease in forest cover from 1994 to 2018. With the ecosystem service value closely tied to forest cover, the findings underscore the urgent need for conservation efforts!



 
 
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