Habitat in flames: How climate change will affect fire risk across koala forests

被引:4
|
作者
Shabani, Farzin [1 ]
Shafapourtehrany, Mahyat [2 ]
Ahmadi, Mohsen [3 ]
Kalantar, Bahareh [4 ]
Ozener, Haluk [2 ]
Clancy, Kieran [5 ]
Esmaeili, Atefeh [6 ]
da Silva, Ricardo Siqueira [7 ]
Beaumont, Linda J. [8 ]
Llewelyn, John [9 ,10 ]
Jones, Simon [11 ]
Ossola, Alessandro [12 ,13 ]
机构
[1] Qatar Univ, Coll Arts & Sci, Dept Biol & Environm Sci, POB 2713, Doha, Qatar
[2] Bogazici Univ, Kandilli Observ & Earthquake Res Inst, Dept Geodesy, TR-34680 Istanbul, Turkiye
[3] Isfahan Univ Technol, Dept Nat Resources, Esfahan, Iran
[4] RIKEN Ctr Adv Intelligence Project, Disaster Resilience Sci Team, Goal Oriented Technol Res Grp, Tokyo 1030027, Japan
[5] Flinders Univ Tonsley, Coll Sci & Engn, GPO Box 2100, Adelaide, SA 5001, Australia
[6] Univ New England, Sch Environm & Rural Sci, Armidale, NSW 2351, Australia
[7] Fed Univ Vales Jequitinhonha & Mucuri, Dept Agron, BR-39100000 Diamantina, MG, Brazil
[8] Macquarie Univ, Sch Nat Sci, Sydney, NSW, Australia
[9] Flinders Univ S Australia, Coll Sci & Engn, Global Ecol Partuyarta Ngadluku Wardli Kuu, Adelaide, SA, Australia
[10] ARC Ctr Excellence Australian Biodivers & Heritage, Wollongong, Australia
[11] RMIT Univ, Sch Sci, Melbourne, Vic 3000, Australia
[12] Univ Calif Davis, Davis, CA USA
[13] Univ Melbourne, Fac Sci, Sch Agr Food & Ecosyst Sci SAFES, Melbourne, Vic, Australia
关键词
Climate change; 60 main tree species browsed by koalas; Decision Tree machine learning algorithm; Fire; NEW-SOUTH-WALES; LANDSLIDE SUSCEPTIBILITY; PHASCOLARCTOS-CINEREUS; CONDITIONING FACTORS; EXTINCTION RISK; MODELS; SHIFTS; TRENDS; IMPACT; CONSERVATION;
D O I
10.1016/j.eti.2023.103331
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Aim: Generate fire susceptibility maps for the present and 2070, to identify the threat wildfires pose to koalas now and under future climate change. Location: Australia. Time period: Present and 2070. Major taxa studied: 60 main tree species browsed by koalas. Method: The Decision Tree machine learning algorithm was applied to generate a fire susceptibility index (a measure of the potential for a given area or region to experience wildfires) using a dataset of conditioning factors, namely: altitude, aspect, rainfall, distance from rivers, distance from roads, forest type, geology, koala presence and future dietary sources, land use-land cover (LULC), normalized difference vegetation index (NDVI), slope, soil, temperature, and wind speed. Results: We found a general increase in susceptibility of Australian vegetation to bushfires overall. The simulation for current conditions indicated that 39.56% of total koala habitat has a fire susceptibility rating of "very high"or "high", increasing to 44.61% by 2070. Main conclusions: Wildfires will increasingly impact koala populations in the future. If this iconic and vulnerable marsupial is to be protected, conservation strategies need to be adapted to deal with this threat. It is crucial to strike a balance between ensuring that koala habitats and populations are not completely destroyed by fire while also allowing for forest rejuvenation and regeneration through periodic burns.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Climate change risk to forests in China associated with warming
    Yunhe Yin
    Danyang Ma
    Shaohong Wu
    Scientific Reports, 8
  • [42] How does climate change affect social insects?
    Menzel, Florian
    Feldmeyer, Barbara
    CURRENT OPINION IN INSECT SCIENCE, 2021, 46 : 10 - 15
  • [43] Climate change and species facilitation affect the recruitment of macroalgal marine forests
    Margalida Monserrat
    Steeve Comeau
    Jana Verdura
    Samir Alliouane
    Guillaume Spennato
    Fabrice Priouzeau
    Gilbers Romero
    Luisa Mangialajo
    Scientific Reports, 12
  • [44] Climate change and species facilitation affect the recruitment of macroalgal marine forests
    Monserrat, Margalida
    Comeau, Steeve
    Verdura, Jana
    Alliouane, Samir
    Spennato, Guillaume
    Priouzeau, Fabrice
    Romero, Gilbers
    Mangialajo, Luisa
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [45] How will climate change affect endangered Mediterranean waterbirds?
    Ramirez, Francisco
    Rodriguez, Carlos
    Seoane, Javier
    Figuerola, Jordi
    Bustamante, Javier
    PLOS ONE, 2018, 13 (02):
  • [46] How Hope and Doubt Affect Climate Change Mobilization
    Marlon, Jennifer R.
    Bloodhart, Brittany
    Ballew, Matthew T.
    Rolfe-Redding, Justin
    Roser-Renouf, Connie
    Leiserowitz, Anthony
    Maibach, Edward
    FRONTIERS IN COMMUNICATION, 2019, 4
  • [47] How climate change interacts with inequity to affect nutrition
    Salm, Leah
    Nisbett, Nicholas
    Cramer, Laura
    Gillespie, Stuart
    Thornton, Philip
    WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 2021, 12 (02)
  • [48] How will climate change affect the feeding biology of Collembola?
    Sanders, Shareen K. D.
    Martinez-De Leon, Gerard
    Formenti, Ludovico
    Thakur, Madhav P.
    SOIL BIOLOGY & BIOCHEMISTRY, 2024, 188
  • [49] How Does Climate Change Affect the Upper Airway?
    Kim, Jean
    Zaitchik, Benjamin
    Waugh, Darryn
    OTOLARYNGOLOGIC CLINICS OF NORTH AMERICA, 2024, 57 (02) : 309 - 317
  • [50] Temperate forests! How climate change affects growth and phenology
    Ayala, A. N.
    Chamberlain, C.
    Holbrook, N. M.
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2020, 60 : E277 - E277