IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v125y2021ics1389934121000113.html
   My bibliography  Save this article

Assessing expected economic losses from wildfires in eucalypt plantations of western Brazil

Author

Listed:
  • Galizia, Luiz Felipe
  • Alcasena, Fermín
  • Prata, Gabriel
  • Rodrigues, Marcos

Abstract

The increasing demand for pulpwood promotes the rapid expansion of eucalypt plantations over fire-prone savannas in western Brazil. Currently, large wildfires pose a real threat to these commercial plantations, disrupting the supply chain. Forest managers lack site-specific quantitative assessments to inform large scale harvesting plans and cost-effective risk reduction programs. In this study, we combined wildfire likelihood estimates with potential fire effects to assess stand-level expected economic losses in eucalypt plantations across a savanna enclave in western Brazil. Here, we used the minimum travel time fire spread algorithm to predict the annual burn probability (aBP). The economic loss was estimated combining pixel-level aBP with the associated forest value according to the raw material market value, the management cost cash flow, and the harvesting rotation period. Young eucalypt stands (< 2 yr) attained the highest wildfire likelihood values, whereas intermediate-age to mature plantations (> 4 yr) showed the largest economic losses (> 400 US$ ha−1 yr−1). Our findings suggest that local forest managers should expect a 1.75% of annual losses in terms of raw material provision, equivalent to some 20 million US$ yr−1. Fuel reduction programs focusing on aBP hotspots plus ignition prevention along the forest interfaces would reduce risk to eucalypt plantations. In addition, environmental policies related to ignition mitigation and correct usage of fire across grasslands might be developed to attenuate the risk. This study implements a methodological framework that would allow comparing alternative wildfire risk management strategies in South American tropical savanna where revenue from forest systems is a fundamental source of income for local economies.

Suggested Citation

  • Galizia, Luiz Felipe & Alcasena, Fermín & Prata, Gabriel & Rodrigues, Marcos, 2021. "Assessing expected economic losses from wildfires in eucalypt plantations of western Brazil," Forest Policy and Economics, Elsevier, vol. 125(C).
  • Handle: RePEc:eee:forpol:v:125:y:2021:i:c:s1389934121000113
    DOI: 10.1016/j.forpol.2021.102405
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934121000113
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2021.102405?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alcasena, Fermín J. & Salis, Michele & Nauslar, Nicholas J. & Aguinaga, A. Eduardo & Vega-García, Cristina, 2016. "Quantifying economic losses from wildfires in black pine afforestations of northern Spain," Forest Policy and Economics, Elsevier, vol. 73(C), pages 153-167.
    2. Roghayeh Jahdi & Michele Salis & Fermin J. Alcasena & Mahdi Arabi & Bachisio Arca & Pierpaolo Duce, 2020. "Evaluating landscape-scale wildfire exposure in northwestern Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 911-932, April.
    3. Calkin, David C. & Finney, Mark A. & Ager, Alan A. & Thompson, Matthew P. & Gebert, Krista M., 2011. "Progress towards and barriers to implementation of a risk framework for US federal wildland fire policy and decision making," Forest Policy and Economics, Elsevier, vol. 13(5), pages 378-389, June.
    4. Olga M. Lozano & Michele Salis & Alan A. Ager & Bachisio Arca & Fermin J. Alcasena & Antonio T. Monteiro & Mark A. Finney & Liliana Del Giudice & Enrico Scoccimarro & Donatella Spano, 2017. "Assessing Climate Change Impacts on Wildfire Exposure in Mediterranean Areas," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1898-1916, October.
    5. Stevens, Don L. & Olsen, Anthony R., 2004. "Spatially Balanced Sampling of Natural Resources," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 262-278, January.
    6. W. Matt Jolly & Mark A. Cochrane & Patrick H. Freeborn & Zachary A. Holden & Timothy J. Brown & Grant J. Williamson & David M. J. S. Bowman, 2015. "Climate-induced variations in global wildfire danger from 1979 to 2013," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
    7. David M. Lapola & Luiz A. Martinelli & Carlos A. Peres & Jean P. H. B. Ometto & Manuel E. Ferreira & Carlos A. Nobre & Ana Paula D. Aguiar & Mercedes M. C. Bustamante & Manoel F. Cardoso & Marcos H. C, 2014. "Pervasive transition of the Brazilian land-use system," Nature Climate Change, Nature, vol. 4(1), pages 27-35, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fermín Alcasena & Marcos Rodrigues & Pere Gelabert & Alan Ager & Michele Salis & Aitor Ameztegui & Teresa Cervera & Cristina Vega-García, 2021. "Fostering Carbon Credits to Finance Wildfire Risk Reduction Forest Management in Mediterranean Landscapes," Land, MDPI, vol. 10(10), pages 1-23, October.
    2. Tchai Tavor, 2024. "Assessing the financial impacts of significant wildfires on US capital markets: sectoral analysis," Empirical Economics, Springer, vol. 67(3), pages 1115-1148, September.
    3. Shu Wu, 2021. "RETRACTED: The Temporal-Spatial Distribution and Information-Diffusion-Based Risk Assessment of Forest Fires in China," Sustainability, MDPI, vol. 13(24), pages 1-18, December.

    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. Alcasena, Fermín J. & Salis, Michele & Nauslar, Nicholas J. & Aguinaga, A. Eduardo & Vega-García, Cristina, 2016. "Quantifying economic losses from wildfires in black pine afforestations of northern Spain," Forest Policy and Economics, Elsevier, vol. 73(C), pages 153-167.
    2. Tomasz Bąk, 2021. "Spatial sampling methods modified by model use," Statistics in Transition New Series, Polish Statistical Association, vol. 22(2), pages 143-154, June.
    3. Lorenzo Fattorini & Timothy G. Gregoire & Sara Trentini, 2018. "The Use of Calibration Weighting for Variance Estimation Under Systematic Sampling: Applications to Forest Cover Assessment," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(3), pages 358-373, September.
    4. Alexandra D Syphard & Timothy Sheehan & Heather Rustigian-Romsos & Kenneth Ferschweiler, 2018. "Mapping future fire probability under climate change: Does vegetation matter?," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    5. Carmenta, Rachel & Cammelli, Federico & Dressler, Wolfram & Verbicaro, Camila & Zaehringer, Julie G., 2021. "Between a rock and a hard place: The burdens of uncontrolled fire for smallholders across the tropics," World Development, Elsevier, vol. 145(C).
    6. Marcos Rodrigues & Fermín Alcasena & Pere Gelabert & Cristina Vega‐García, 2020. "Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1762-1779, September.
    7. Pommerening, Arne & Szmyt, Janusz & Zhang, Gongqiao, 2020. "A new nearest-neighbour index for monitoring spatial size diversity: The hyperbolic tangent index," Ecological Modelling, Elsevier, vol. 435(C).
    8. Hamed Adab, 2017. "Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1807-1825, July.
    9. Weeberb J. Requia & Heresh Amini & Rajarshi Mukherjee & Diane R. Gold & Joel D. Schwartz, 2021. "Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    10. Anton Grafström & Niklas L. P. Lundström & Lina Schelin, 2012. "Spatially Balanced Sampling through the Pivotal Method," Biometrics, The International Biometric Society, vol. 68(2), pages 514-520, June.
    11. Pelagie Elimbi Moudio & Cristobal Pais & Zuo-Jun Max Shen, 2021. "Quantifying the impact of ecosystem services for landscape management under wildfire hazard," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 531-560, March.
    12. Cunha, Felipe Arias Fogliano de Souza & Börner, Jan & Wunder, Sven & Cosenza, Carlos Alberto Nunes & Lucena, André F.P., 2016. "The implementation costs of forest conservation policies in Brazil," Ecological Economics, Elsevier, vol. 130(C), pages 209-220.
    13. Raphaël Jauslin & Bardia Panahbehagh & Yves Tillé, 2022. "Sequential spatially balanced sampling," Environmetrics, John Wiley & Sons, Ltd., vol. 33(8), December.
    14. Megan C. Kirchmeier-Young & Francis W. Zwiers & Nathan P. Gillett & Alex J. Cannon, 2017. "Attributing extreme fire risk in Western Canada to human emissions," Climatic Change, Springer, vol. 144(2), pages 365-379, September.
    15. Xin Zhao & Anton Grafström, 2020. "A sample coordination method to monitor totals of environmental variables," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
    16. Lucash, Melissa S. & Marshall, Adrienne M. & Weiss, Shelby A. & McNabb, John W. & Nicolsky, Dmitry J. & Flerchinger, Gerald N. & Link, Timothy E. & Vogel, Jason G. & Scheller, Robert M. & Abramoff, Ro, 2023. "Burning trees in frozen soil: Simulating fire, vegetation, soil, and hydrology in the boreal forests of Alaska," Ecological Modelling, Elsevier, vol. 481(C).
    17. Chao-Yuan Lin & Pei-Ying Shieh & Shao-Wei Wu & Po-Cheng Wang & Yung-Chau Chen, 2022. "Environmental indicators combined with risk analysis to evaluate potential wildfire incidence on the Dadu Plateau in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 287-313, August.
    18. Huan Xie & Fang Wang & Yali Gong & Xiaohua Tong & Yanmin Jin & Ang Zhao & Chao Wei & Xinyi Zhang & Shicheng Liao, 2022. "Spatially Balanced Sampling for Validation of GlobeLand30 Using Landscape Pattern-Based Inclusion Probability," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    19. Piyush Jain & Mari R. Tye & Debasish Paimazumder & Mike Flannigan, 2020. "Downscaling fire weather extremes from historical and projected climate models," Climatic Change, Springer, vol. 163(1), pages 189-216, November.
    20. Linda Altieri & Daniela Cocchi, 2021. "Spatial Sampling for Non‐compact Patterns," International Statistical Review, International Statistical Institute, vol. 89(3), pages 532-549, December.

    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:eee:forpol:v:125:y:2021:i:c:s1389934121000113. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    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.