IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i8p1274-d883246.html
   My bibliography  Save this article

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

Author

Listed:
  • Ram Avtar

    (Faculty of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan
    Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan)

  • Apisai Vakacegu Rinamalo

    (Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan)

  • Deha Agus Umarhadi

    (Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

  • Ankita Gupta

    (Graduate School of Environmental Science, Hokkaido University, Sapporo 060-0810, Japan)

  • Khaled Mohamed Khedher

    (Department of Civil Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
    Department of Civil Engineering, High Institute of Technological Studies, Mrezgua University Campus, Nabeul 8000, Tunisia)

  • Ali P. Yunus

    (Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research (IISER), Mohali 140306, India)

  • Bhupendra P. Singh

    (Department of Environmental Studies, Deshbandhu College (Delhi School of Climate Change & Sustainability, Institute of Eminence), Delhi University, New Delhi 110021, India)

  • Pankaj Kumar

    (Institute for Global Environmental Strategies (IGES), Hayama 240-0115, Japan)

  • Netrananda Sahu

    (Department of Geography, Delhi School of Economics, University of Delhi, New Delhi 110007, India)

  • Anjar Dimara Sakti

    (Remote Sensing and Geographic Information Sciences Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia)

Abstract

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.

Suggested Citation

  • Ram Avtar & Apisai Vakacegu Rinamalo & Deha Agus Umarhadi & Ankita Gupta & Khaled Mohamed Khedher & Ali P. Yunus & Bhupendra P. Singh & Pankaj Kumar & Netrananda Sahu & Anjar Dimara Sakti, 2022. "Land Use Change and Prediction for Valuating Carbon Sequestration in Viti Levu Island, Fiji," Land, MDPI, vol. 11(8), pages 1-17, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1274-:d:883246
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/8/1274/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/8/1274/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rizwan Muhammad & Wenyin Zhang & Zaheer Abbas & Feng Guo & Luc Gwiazdzinski, 2022. "Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China," Land, MDPI, vol. 11(3), pages 1-24, March.
    2. Arild Angelsen, 2017. "REDD+ as Result-based Aid: General Lessons and Bilateral Agreements of Norway," Review of Development Economics, Wiley Blackwell, vol. 21(2), pages 237-264, May.
    3. Roger Sedjo & Brent Sohngen, 2012. "Carbon Sequestration in Forests and Soils," Annual Review of Resource Economics, Annual Reviews, vol. 4(1), pages 127-144, August.
    4. Bagstad, Kenneth J. & Semmens, Darius J. & Waage, Sissel & Winthrop, Robert, 2013. "A comparative assessment of decision-support tools for ecosystem services quantification and valuation," Ecosystem Services, Elsevier, vol. 5(C), pages 27-39.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ainhoa Gonzalez & Álvaro Enríquez-de-Salamanca, 2018. "Spatial Multi-Criteria Analysis in Environmental Assessment: A Review and Reflection on Benefits and Limitations," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.
    2. Andersson, Krister P. & Smith, Steven M. & Alston, Lee J. & Duchelle, Amy E. & Mwangi, Esther & Larson, Anne M. & de Sassi, Claudio & Sills, Erin O. & Sunderlin, William D. & Wong, Grace Y., 2018. "Wealth and the distribution of benefits from tropical forests: Implications for REDD+," Land Use Policy, Elsevier, vol. 72(C), pages 510-522.
    3. SrinivasaPerumal Padma & Sivakumar Vidhya Lakshmi & Ramaiah Prakash & Sundaresan Srividhya & Aburpa Avanachari Sivakumar & Nagarajan Divyah & Cristian Canales & Erick I. Saavedra Flores, 2022. "Simulation of Land Use/Land Cover Dynamics Using Google Earth Data and QGIS: A Case Study on Outer Ring Road, Southern India," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    4. Drakou, E.G. & Crossman, N.D. & Willemen, L. & Burkhard, B. & Palomo, I. & Maes, J. & Peedell, S., 2015. "A visualization and data-sharing tool for ecosystem service maps: Lessons learnt, challenges and the way forward," Ecosystem Services, Elsevier, vol. 13(C), pages 134-140.
    5. Alessio D’Auria & Pasquale De Toro & Nicola Fierro & Elisa Montone, 2018. "Integration between GIS and Multi-Criteria Analysis for Ecosystem Services Assessment: A Methodological Proposal for the National Park of Cilento, Vallo di Diano and Alburni (Italy)," Sustainability, MDPI, vol. 10(9), pages 1-25, September.
    6. Mayer, Alex & Jones, Kelly & Hunt, David & Manson, Robert & Carter Berry, Z. & Asbjornsen, Heidi & Wright, Timothy Max & Salcone, Jacob & Lopez Ramirez, Sergio & Ávila-Foucat, Sophie & Von Thaden Ugal, 2022. "Assessing ecosystem service outcomes from payments for hydrological services programs in Veracruz, Mexico: Future deforestation threats and spatial targeting," Ecosystem Services, Elsevier, vol. 53(C).
    7. Dong Chen & Rongrong Liu & Maoxian Zhou, 2023. "Delineation of Urban Growth Boundary Based on Habitat Quality and Carbon Storage: A Case Study of Weiyuan County in Gansu, China," Land, MDPI, vol. 12(5), pages 1-17, May.
    8. Cauê Carrilho & Gabriela Demarchi & Amy Duchelle & Sven Wunder & Carla Morsello, 2022. "Permanence of avoided deforestation in a Transamazon REDD+ initiative (Pará, Brazil)," CEE-M Working Papers hal-03614704, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    9. Moreno-Llorca, R. & Vaz, A.S. & Herrero, J. & Millares, A. & Bonet-García, F.J. & Alcaraz-Segura, D., 2020. "Multi-scale evolution of ecosystem services’ supply in Sierra Nevada (Spain): An assessment over the last half-century," Ecosystem Services, Elsevier, vol. 46(C).
    10. Carrilho, Cauê D. & Demarchi, Gabriela & Duchelle, Amy E. & Wunder, Sven & Morsello, Carla, 2022. "Permanence of avoided deforestation in a Transamazon REDD+ project (Pará, Brazil)," Ecological Economics, Elsevier, vol. 201(C).
    11. Rakatama, Ari & Pandit, Ram & Iftekhar, Sayed & Ma, Chunbo, 2018. "Heterogeneous public preference for REDD+ projects under different forest management regimes," Land Use Policy, Elsevier, vol. 78(C), pages 266-277.
    12. Sylwia Barwicka & Małgorzata Milecka, 2022. "The “Perfect Village” Model as a Result of Research on Transformation of Plant Cover—Case Study of the Puchaczów Commune," Sustainability, MDPI, vol. 14(21), pages 1-22, November.
    13. Min Gon Chung & Tao Pan & Xintong Zou & Jianguo Liu, 2018. "Complex Interrelationships between Ecosystem Services Supply and Tourism Demand: General Framework and Evidence from the Origin of Three Asian Rivers," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    14. Mostafa Shaaban & Carmen Schwartz & Joseph Macpherson & Annette Piorr, 2021. "A Conceptual Model Framework for Mapping, Analyzing and Managing Supply–Demand Mismatches of Ecosystem Services in Agricultural Landscapes," Land, MDPI, vol. 10(2), pages 1-19, January.
    15. Brown, Melanie G. & Quinn, John E., 2018. "Zoning does not improve the availability of ecosystem services in urban watersheds. A case study from Upstate South Carolina, USA," Ecosystem Services, Elsevier, vol. 34(PB), pages 254-265.
    16. Agudelo, César Augusto Ruiz & Bustos, Sandra Liliana Hurtado & Moreno, Carmen Alicia Parrado, 2020. "Modeling interactions among multiple ecosystem services. A critical review," Ecological Modelling, Elsevier, vol. 429(C).
    17. Liu, Peng & Jiang, Shiwei & Zhao, Lianjun & Li, Yunxi & Zhang, Pingping & Zhang, Li, 2017. "What are the benefits of strictly protected nature reserves? Rapid assessment of ecosystem service values in Wanglang Nature Reserve, China," Ecosystem Services, Elsevier, vol. 26(PA), pages 70-78.
    18. Richard Yao & David Palmer & Barbara Hock & Duncan Harrison & Tim Payn & Juan Monge, 2019. "Forest Investment Framework as a Support Tool for the Sustainable Management of Planted Forests," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    19. Warziniack, Travis & Sims, Charles & Haas, Jessica, 2019. "Fire and the joint production of ecosystem services: A spatial-dynamic optimization approach," Forest Policy and Economics, Elsevier, vol. 107(C), pages 1-1.
    20. Vardon, Michael & May, Steve & Keith, Heather & Burnett, Peter & Lindenmayer, David, 2019. "Accounting for ecosystem services – Lessons from Australia for its application and use in Oceania to achieve sustainable development," Ecosystem Services, Elsevier, vol. 39(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1274-:d:883246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.