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Wildfire occurrence patterns in ecoregions of New South Wales and Australian Capital Territory, Australia

Author

Listed:
  • Yang Zhang

    (The University of New South Wales)

  • Samsung Lim

    (The University of New South Wales)

  • Jason John Sharples

    (The University of New South Wales)

Abstract

Wildfire occurrence is regulated by many factors such as climate, vegetation, topography and ignition source. The effects of these factors vary across space. In this study, generalised additive models were used to assist in understanding the drivers that regulate the spatial distribution of wildfire occurrence over five ecoregions in the south-eastern Australia. Fire occurrence data are sourced from the moderate-resolution imaging spectroradiometer active fire product over the period 2003–2013 and across New South Wales and the Australian Capital Territory. The experimental results suggest that vegetation is one of the key factors in most ecoregions; among the two vegetation factors, vegetation formations affect the fire occurrence pattern in the most fire-prone area; climate gradients drive fire occurrence in ecoregions with relatively broad areas; spatial effect drives the fire occurrence pattern in all the ecoregions; anthropogenic factors regulate fire occurrence patterns in the most populated area and two sparsely populated areas. In the most fire-prone area, fires are less likely to ignite from rainforests and wet sclerophyll forests than in dry sclerophyll forests. Normalised difference vegetation index (NDVI) and fire occurrence follows a non-linear relationship with each other in most ecoregions, with small to medium levels of NDVI show positive effect. In the temperate areas, fires tend to ignite from low precipitation, high temperature areas. Fires are also likely to occur near human facilities and at non-protected areas in some ecoregions, but away from roads in one ecoregion. The findings from this study provide a better understanding of long-term fire patterns and their drivers that can potentially help fire managers and rural communities make strategic-level decisions.

Suggested Citation

  • Yang Zhang & Samsung Lim & Jason John Sharples, 2017. "Wildfire occurrence patterns in ecoregions of New South Wales and Australian Capital Territory, Australia," 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(1), pages 415-435, May.
  • Handle: RePEc:spr:nathaz:v:87:y:2017:i:1:d:10.1007_s11069-017-2770-1
    DOI: 10.1007/s11069-017-2770-1
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    References listed on IDEAS

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    1. Chuvieco, Emilio & Aguado, Inmaculada & Yebra, Marta & Nieto, Héctor & Salas, Javier & Martín, M. Pilar & Vilar, Lara & Martínez, Javier & Martín, Susana & Ibarra, Paloma & de la Riva, Juan & Baeza, J, 2010. "Development of a framework for fire risk assessment using remote sensing and geographic information system technologies," Ecological Modelling, Elsevier, vol. 221(1), pages 46-58.
    2. Marra, Giampiero & Wood, Simon N., 2011. "Practical variable selection for generalized additive models," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2372-2387, July.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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    Cited by:

    1. Jiazheng Lu & Yu Liu & Guoyong Zhang & Bo Li & Lifu He & Jing Luo, 2018. "Partition dynamic threshold monitoring technology of wildfires near overhead transmission lines by satellite," 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. 94(3), pages 1327-1340, December.

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