Land Use Change and Prediction for Valuating Carbon Sequestration in Viti Levu Island, Fiji

Avtar, Ram; Rinamalo, Apisai Vakacegu; Umarhadi, Deha Agus; Gupta, Ankita; Khedher, Khaled Mohamed; Yunus, Ali P.; Singh, Bhupendra P.; Kumar, Pankaj; Sahu, Netrananda; Sakti, Anjar Dimara

Land Use Change and Prediction for Valuating Carbon Sequestration in Viti Levu Island, Fiji

Avtar, Ram; Rinamalo, Apisai Vakacegu; Umarhadi, Deha Agus et al.

Land, 2022, 11(8), 1274

Permalink : https://hdl.handle.net/2115/87031

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アクセス権	open access
URI	https://hdl.handle.net/2115/87031
タイトル	Land Use Change and Prediction for Valuating Carbon Sequestration in Viti Levu Island, Fiji
著者	Avtar, Ram ; Rinamalo, Apisai Vakacegu ; Umarhadi, Deha Agus ; Gupta, Ankita ; Khedher, Khaled Mohamed ; Yunus, Ali P. ; Singh, Bhupendra P. ; Kumar, Pankaj ; Sahu, Netrananda ; Sakti, Anjar Dimara
e-Rad_Researcher 90648057 著者名 Avtar, Ram
著者名 Rinamalo, Apisai Vakacegu
著者名 Umarhadi, Deha Agus
著者名 Gupta, Ankita
著者名 Khedher, Khaled Mohamed
著者名 Yunus, Ali P.
著者名 Singh, Bhupendra P.
著者名 Kumar, Pankaj
著者名 Sahu, Netrananda
著者名 Sakti, Anjar Dimara
言語	英語
キーワード	carbon sequestration
	land use change
	land use prediction
	carbon stock valuation
	REDD+
	Fiji
発行日	2022-08-08
出版者	MDPI
収録物名	Land
巻(号)	11(8)
ページ	1274
抄録	This study examines land use changes and evaluates the past and projected forest carbon sequestration and its valuation in Viti Levu Island, Fiji, through a combination of remote sensing with a geospatial-based modeling approach. Land use classification was performed using Landsat 7 and Landsat 8 imageries of the years 2000 and 2020; then, cellular automata and artificial neural network (CA-ANN) modeling was conducted to predict the land use map of 2040. Carbon sequestration and the economic valuation were estimated using the land use maps of the past, present, and future (2000, 2020, and 2040) within the Integrated Valuation of Ecosystems Trade-off (InVEST) model. The results showed that deforestation occurred during the past two decades, and the forest area was predicted to keep decreasing in 2040, with the major contribution from the conversion to the agricultural area. Local communities' perceptions confirmed that the forest conversion to croplands would persist due to the demand for fertile lands. This study estimated a loss of -7.337 megatonnes of forest carbon (Mt C) with an economic loss of USD -1369.38 million during 2000-2020 due to deforestation. If the business-as-usual scenario does not change in the near future, a potential carbon loss of -7.959 Mt C is predicted in the upcoming 20 years. The predicted results can be used to assist as a reference in establishing a national baseline and reference level for implementing the REDD+ mechanism in Fiji and sustainably managing the limited pristine forest by implementing forest-related programs.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
PISSN	2073-445X
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3390/land11081274