Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Signs of resilience in resprouting Eucalyptus forests, but areas of concern: 1 year of post-fire recovery from Australia’s Black Summer of 2019–2020

Rebecca K. Gibson A * and Samuel Hislop B
+ Author Affiliations
- Author Affiliations

A Science, Economics and Insights Division, Department of Planning and Environment, Alstonville, NSW, Australia

B Forest Science, Department of Primary Industries, Sydney, NSW, Australia

International Journal of Wildland Fire 31(5) 545-557 https://doi.org/10.1071/WF21089
Submitted: 27 June 2021  Accepted: 22 March 2022   Published: 28 April 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF.

Abstract

Early and ongoing monitoring of post-fire recovery dynamics is critical for understanding the ecological resilience of forests. The unprecedented scale of Australia’s Black Summer of 2019–2020 poses a significant challenge for post-fire recovery monitoring. Remote sensing is the only practical way to undertake broad-scale analysis of post-fire recovery dynamics. We used Sentinel 2 satellite imagery to compare pre-fire and 1-year post-fire Normalised Burn Ratio (NBR) values. A strong positive trend in the return of vegetation was indicated where post-fire values met or exceeded 80% of the pre-fire NBR value. Our assessment highlighted locations where early recovery responses were divergent from trends in the surrounding areas. Overall, there was a strong spectral recovery across the 2019–2020 south-east Australia fire extent, with more than 50% of the total burned area showing greater than 80% spectral recovery after 1 year. However, several areas where ecosystem resilience may be threatened were identified, including fire-sensitive ecosystems and severely drought-impacted regions. Our results demonstrated biogeographic variation in the effect of fire severity on post-fire spectral recovery, with little effect of severity on spectral recovery observed in the north-east, but much stronger effects in the south. Our study highlights further research for prioritisation as part of adaptive land management programs.

Keywords: Australia, Black Summer, fire severity, NBR, post-fire recovery, remote sensing, resilience, resprouters.


References

Abram NJ, Henley BJ, Gupta AS, Lippmann TJR, Clarke H, Dowdy AJ, Sharples JJ, Nolan RH, Zhang T, Wooster MJ, Wurtzel JB, Meissner KJ, Pitman AJ, Ukkola AM, Murphy BP, Tapper NJ, Boer MM (2021) Connections of climate change and variability to large and extreme forest fires in southeast Australia. Communications Earth & Environment 2, 8
Connections of climate change and variability to large and extreme forest fires in southeast Australia.Crossref | GoogleScholarGoogle Scholar |

Bassett OD, Prior LD, Slijkerman CM, Jamieson D, Bowman DMJS (2015) Aerial sowing stopped the loss of alpine ash (Eucalyptus delegatensis) forests burnt by three short-interval fires in the Alpine National Park, Victoria, Australia. Forest Ecology and Management 342, 39–48.
Aerial sowing stopped the loss of alpine ash (Eucalyptus delegatensis) forests burnt by three short-interval fires in the Alpine National Park, Victoria, Australia.Crossref | GoogleScholarGoogle Scholar |

Boer MM, Resco de Dios V, Bradstock RA (2020) Unprecedented burn area of Australian mega forest fires. Nature Climate Change 10, 171–172.
Unprecedented burn area of Australian mega forest fires.Crossref | GoogleScholarGoogle Scholar |

Bonney MT, He Y, Myint SW (2020) Contextualising the 2019–2020 Kangaroo Island bushfires: Quantifying landscape-level influences on past severity and recovery with Landsat and Google Earth Engine. Remote Sensing 12, 3942
Contextualising the 2019–2020 Kangaroo Island bushfires: Quantifying landscape-level influences on past severity and recovery with Landsat and Google Earth Engine.Crossref | GoogleScholarGoogle Scholar |

Bowman DMJS, Moreira-Muñoz A, Kolden CA, Chávez RO, Muñoz AA, Salinas F, González-Reyes A, Rocco R, de la Barrera F, Williamson GJ, Borchers N, Cifuentes LA, Abatzoglou JT, Johnston FH (2018) Human-environmental drivers and impacts of the globally extreme 2017 Chilean fires. Ambio 48, 350–362.
Human-environmental drivers and impacts of the globally extreme 2017 Chilean fires.Crossref | GoogleScholarGoogle Scholar | 30128860PubMed |

Bradstock RA (2008) Effects of large fires on biodiversity in south-eastern Australia: disaster or template for diversity? International Journal of Wildland Fire 17, 809–822.
Effects of large fires on biodiversity in south-eastern Australia: disaster or template for diversity?Crossref | GoogleScholarGoogle Scholar |

Bureau of Meteorology (2018) ‘Special Climate Statement 66 – an abnormally dry period in eastern Australia.’ (Australian Government)

Bureau of Meteorology (2020) ‘Special Climate Statement 70 update –drought conditions in Australia and impact on water resources in the Murray-Darling Basin.’ (Australian Government)

Caccamo G, Bradstock R, Collins L, Penman T, Watson P (2015) Using MODIS data to analyse post-fire vegetation recovery in Australian eucalypt forests. Journal of Spatial Science 60, 341–352.
Using MODIS data to analyse post-fire vegetation recovery in Australian eucalypt forests.Crossref | GoogleScholarGoogle Scholar |

Clarke PJ, Lawes MJ, Murphy BP, Russell-Smith J, Nano CEM, Bradstock R, Enright NJ, Fontaine JB, Gosper CR, Radford I, Midgley JJ, Gunton RM (2015) A synthesis of postfire recovery traits of woody plants in Australian ecosystems. Science of the Total Environment 534, 31–42.
A synthesis of postfire recovery traits of woody plants in Australian ecosystems.Crossref | GoogleScholarGoogle Scholar |

Cochrane MA (2003) Fire science for rainforests. Nature 421, 913–919.
Fire science for rainforests.Crossref | GoogleScholarGoogle Scholar | 12606992PubMed |

Collins L (2020) Eucalypt forests dominated by epicormic resprouters are resilient to repeated canopy fires. Journal of Ecology 108, 310–324.
Eucalypt forests dominated by epicormic resprouters are resilient to repeated canopy fires.Crossref | GoogleScholarGoogle Scholar |

Collins L, Griffioen P, Newell G, Mellor A (2018) The utility of Random Forests for wildfire severity mapping. Remote Sensing of Environment 216, 374–384.
The utility of Random Forests for wildfire severity mapping.Crossref | GoogleScholarGoogle Scholar |

Collins L, Bradstock RA, Clarke H, Clarke MF, Nolan RH, Penman TD (2021) The 2019/2020 mega-fires exposed Australian ecosystems to an unprecedented extent of high-severity fire. Environmental Research Letters 16, 044029
The 2019/2020 mega-fires exposed Australian ecosystems to an unprecedented extent of high-severity fire.Crossref | GoogleScholarGoogle Scholar |

Dickman CR (2021) Ecological consequences of Australia’s “Black Summer” bushfires: Managing for recovery. Integrated Environmental Assessment and Management 17, 1162–1167.
Ecological consequences of Australia’s “Black Summer” bushfires: Managing for recovery.Crossref | GoogleScholarGoogle Scholar | 34289252PubMed |

Downing WM, Krawchuk MA, Meigs GW, Haire SL, Coop JD, Walker RB, Whitman E, Chong G, Miller C (2019) Influence of fire refugia spatial pattern on post-fire forest recovery in Oregon’s Blue Mountains. Landscape Ecology 34, 771–792.
Influence of fire refugia spatial pattern on post-fire forest recovery in Oregon’s Blue Mountains.Crossref | GoogleScholarGoogle Scholar |

Dutta R, Das A, Jagannath A (2016) Big data integration shows Australian bush-fire frequency is increasing significantly. Royal Society Open Science 3, 150241
Big data integration shows Australian bush-fire frequency is increasing significantly.Crossref | GoogleScholarGoogle Scholar | 26998312PubMed |

Executive Steering Committee for Australian Vegetation Information (ESCAVI) (2003) 'Australian Vegetation Attribute Manual: National Vegetation Information System, Version 6.0.' (Department of the Environment and Heritage:  Canberra)

Fairman TA, Nitschke CR, Bennett LT (2015) Too much, too soon? A review of the effects of increasing wildfire frequency on tree mortality and regeneration in temperate eucalypt forests. International Journal of Wildland Fire 25, 831–848.
Too much, too soon? A review of the effects of increasing wildfire frequency on tree mortality and regeneration in temperate eucalypt forests.Crossref | GoogleScholarGoogle Scholar |

Fairman TA, Bennett LT, Nitschke CR (2019) Short-interval wildfires increase likelihood of resprouting failure in fire-tolerant trees. Journal of Environmental Management 231, 59–65.
Short-interval wildfires increase likelihood of resprouting failure in fire-tolerant trees.Crossref | GoogleScholarGoogle Scholar | 30326339PubMed |

Filkov AI, Ngo T, Matthews S, Telfer S, Penman TD (2020) Impact of Australia’s catastrophic 2019/20 bushfire season on communities and environment. Retrospective analysis and current trends. Journal of Safety Science and Resilience 1, 44–56.
Impact of Australia’s catastrophic 2019/20 bushfire season on communities and environment. Retrospective analysis and current trends.Crossref | GoogleScholarGoogle Scholar |

Flood N (2013) Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median). Remote Sensing 5, 6481–6500.
Seasonal composite Landsat TM/ETM+ images using the medoid (a multi-dimensional median).Crossref | GoogleScholarGoogle Scholar |

Gallagher RV, Allen S, Mackenzie BDE, Yates CJ, Gosper CR, Keith DA, Merow C, White MD, Wenk E, Maitner BS, He K, Adams VM, Auld TD (2021) High fire frequency and the impact of the 2019-2020 megafires on Australian plant diversity. Diversity and Distributions 27, 1166–1179.
High fire frequency and the impact of the 2019-2020 megafires on Australian plant diversity.Crossref | GoogleScholarGoogle Scholar |

Gibson R, Danaher T, Hehir W, Collins L (2020) A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest. Remote Sensing of Environment 240, 111702
A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest.Crossref | GoogleScholarGoogle Scholar |

Gitas I, Mitri G, Veraverbeke S, Polychronaki A (2012) Advances in remote sensing of post-fire vegetation recovery monitoring – a review. In ‘Remote Sensing of Biomass – Principles and Applications’. (Ed. F Temilola) (IntechOpen)

Godfree RC, Knerr N, Encinas-Viso F (2021) Implications of the 2019-2020 megafires for the biogeography and conservation of Australian vegetation. Nature Communications 12, 1023
Implications of the 2019-2020 megafires for the biogeography and conservation of Australian vegetation.Crossref | GoogleScholarGoogle Scholar | 33589628PubMed |

Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202, 18–27.
Google Earth Engine: Planetary-scale geospatial analysis for everyone.Crossref | GoogleScholarGoogle Scholar |

Harris RMB, Beaumont LJ, Vance TR, Tozer CR, Remenyi TA, Perkins-Kirkpatrick SE, Mitchell PJ, Nicotra AB, McGregor S, Andrew NR, Letnic M, Kearney MR, Wernberg T, Hutley LB, Chambers LE, Fletcher MS, Keatley MR, Woodward CA, Williamson G, Duke NC, Bowman DMJS (2018) Biological responses to the press and pulse of climate trends and extreme events. Nature Climate Change 8, 579–587.
Biological responses to the press and pulse of climate trends and extreme events.Crossref | GoogleScholarGoogle Scholar |

Haverd V, Raupach MR, Briggs PR, Canadell JG, Davis SJ, Law RM, Meyer CP, Peters GP, Pickett-Heaps C, Sherman B (2013) The Australian terrestrial carbon budget. Biogeosciences 10, 851–869.
The Australian terrestrial carbon budget.Crossref | GoogleScholarGoogle Scholar |

Heath JT, Chafer CJ, Bishop TFA, Van Ogtrop FF (2016) Post-fire recovery of eucalypt-dominated vegetation communities in the Sydney Basin, Australia. Fire Ecology 12, 53–79.
Post-fire recovery of eucalypt-dominated vegetation communities in the Sydney Basin, Australia.Crossref | GoogleScholarGoogle Scholar |

Hislop S, Jones S, Soto-Berelov M, Skidmore A, Haywood A, Nguyen TH (2019) High fire disturbance in forests leads to longer recovery, but varies by forest type. Remote Sensing in Ecology and Conservation 5, 376–388.
High fire disturbance in forests leads to longer recovery, but varies by forest type.Crossref | GoogleScholarGoogle Scholar |

Karavani A, Boer MM, Baudena M, et al. (2018) Fire-induced deforestation in drought-prone Mediterranean forests: drivers and unknowns from leaves to communities. Ecological Monographs 88, 141–169.
Fire-induced deforestation in drought-prone Mediterranean forests: drivers and unknowns from leaves to communities.Crossref | GoogleScholarGoogle Scholar |

Keane RE, Agee JK, Fulé P, Keeley JE, Key C, Kitchen SG, Miller R, Schulte LA (2008) Ecological effects of large fires on US landscapes: benefit of catastrophe? International Journal of Wildland Fire 17, 696–712.
Ecological effects of large fires on US landscapes: benefit of catastrophe?Crossref | GoogleScholarGoogle Scholar |

Kennedy RE, Yang Z, Cohen WB (2010) Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - temporal segmentation algorithms. Remote Sensing of Environment 114, 2897–2910.
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - temporal segmentation algorithms.Crossref | GoogleScholarGoogle Scholar |

Kennedy RE, Yang Z, Cohen WB, Pfaff E, Braaten J, Nelson P (2012) Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan. Remote Sensing of Environment 122, 117–133.
Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan.Crossref | GoogleScholarGoogle Scholar |

Kennedy RE, Yang Z, Gorelick N, Braaten J, Cavalcante L, Cohen WB, Healey S (2018) Implementation of the LandTrendr Algorithm on Google Earth Engine. Remote Sensing 10, 691
Implementation of the LandTrendr Algorithm on Google Earth Engine.Crossref | GoogleScholarGoogle Scholar |

Khorshidi MS, Dennison PE, Nikoo MR, AghaKouchak A, Luce CH, Sadegh M (2020) Increasing concurrence of wildfire drivers tripled megafire critical danger days in Southern California between 1982 and 2018. Environmental Research Letters 15, 104002
Increasing concurrence of wildfire drivers tripled megafire critical danger days in Southern California between 1982 and 2018.Crossref | GoogleScholarGoogle Scholar |

Kirchhoff C, Callaghan CT, Keith DA, Indiarto D, Taseski G, Ooi MKJ, Le Breton TD, Mesaglio T, Kingsford RT, Cornwell WK (2021) Rapidly mapping fire effects on biodiversity at a large-scale using citizen science. Science of the Total Environment 755, 142348
Rapidly mapping fire effects on biodiversity at a large-scale using citizen science.Crossref | GoogleScholarGoogle Scholar |

Laurance WF, Dell B, Turton SM, Lawes MJ, Hutley LB, McCallum H, Dale P, Bird M, Hardy G, Prideaux G, Gawne B, McMahon CR, Yu R, Hero JM, Schwarzkopf L, Krockenberger A, Douglas M, Silvester E, Mahony M, Vella K, Saikia U, Wahren CH, Xu Z, Smith B, Cocklin C (2011) The 10 Australian ecosystems most vulnerable to tipping points. Biological Conservation 144, 1472–1480.
The 10 Australian ecosystems most vulnerable to tipping points.Crossref | GoogleScholarGoogle Scholar |

Mariani M, Fletcher MS, Haberle S, Chin H, Zawadzki A, Jacobsen G (2019) Climate change reduces resilience to fire in subalpine rainforests. Global Change Biology 25, 2030–2042.
Climate change reduces resilience to fire in subalpine rainforests.Crossref | GoogleScholarGoogle Scholar | 30912234PubMed |

Meng R, Wu J, Zhao F, Cook BD, Hanavan RP, Serbin SP (2018) Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques. Remote Sensing of Environment 210, 282–296.
Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques.Crossref | GoogleScholarGoogle Scholar |

Millar CI, Stephenson NL (2015) Temperate forest health in an era of emerging megadisturbance. Science 349, 823–826.
Temperate forest health in an era of emerging megadisturbance.Crossref | GoogleScholarGoogle Scholar | 26293954PubMed |

Naccarella A, Morgan JW, Cutler SC, Venn SE (2020) Alpine treeline ecotone stasis in the face of recent climate change and disturbance by fire. PLoS One 15, e0231339–e0231339.
Alpine treeline ecotone stasis in the face of recent climate change and disturbance by fire.Crossref | GoogleScholarGoogle Scholar | 32275738PubMed |

Nolan RH, Boer MM, Collins L, Resco de Dios V, Clarke H, Jenkins M, Kenny B, Bradstock RA (2020) Causes and consequences of eastern Australia’s 2019–20 season of mega-fires. Global Change Biology 26, 1039–1041.
Causes and consequences of eastern Australia’s 2019–20 season of mega-fires.Crossref | GoogleScholarGoogle Scholar | 31916352PubMed |

Pausas JG, Bradstock RA (2007) Fire persistence traits of plants along a productivity and disturbance gradient in mediterranean shrublands of south-east Australia. Global Ecology and Biogeography 16, 330–340.
Fire persistence traits of plants along a productivity and disturbance gradient in mediterranean shrublands of south-east Australia.Crossref | GoogleScholarGoogle Scholar |

Rowley JJL, Callaghan CT, Cornwell WK (2020) Widespread short-term persistence of frog species after the 2019–2020 bushfires in eastern Australia revealed by citizen science. Conservation Science and Practice 2, e287
Widespread short-term persistence of frog species after the 2019–2020 bushfires in eastern Australia revealed by citizen science.Crossref | GoogleScholarGoogle Scholar |

Shvetsov EG, Kukavskaya EA, Buryak LV, Barrett K (2019) Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations. Environmental Research Letters 14, 055001
Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations.Crossref | GoogleScholarGoogle Scholar |

Stephens SL, Burrows N, Buyantuyev A, Gray RW, Keane RE, Kubian R, Liu S, Seijo F, Shu L, Tolhurst KG, van Wagtendonk JW (2014) Temperate and boreal forest mega-fires: characteristics and challenges. Frontiers in Ecology and the Environment 12, 115–122.
Temperate and boreal forest mega-fires: characteristics and challenges.Crossref | GoogleScholarGoogle Scholar |

Stevens-Rumann CS, Kemp KB, Higuera PE, Harvey BJ, Rother MT, Donato DC, Morgan P, Veblen TT (2018) Evidence for declining forest resilience to wildfires under climate change. Ecology Letters 21, 243–252.
Evidence for declining forest resilience to wildfires under climate change.Crossref | GoogleScholarGoogle Scholar | 29230936PubMed |

Szpakowski DM, Jensen JLR (2019) A review of the applications of remote sensing in fire ecology. Remote Sensing 11, 2638
A review of the applications of remote sensing in fire ecology.Crossref | GoogleScholarGoogle Scholar |

Tepley AJ, Thompson JR, Epstein HE, Anderson-Teixeira KJ (2017) Vulnerability to forest loss through altered postfire recoverydynamics in a warming climate in the Klamath Mountains. Global Change Biology 23, 4117–4132.
Vulnerability to forest loss through altered postfire recoverydynamics in a warming climate in the Klamath Mountains.Crossref | GoogleScholarGoogle Scholar | 28447370PubMed |

Thackway R, Cresswell ID (1995) ‘An Interim Bioregionalisation for Australia: a framework for establishing the national system of reserves.’ (Australian Nature Conservation Agency: Canberra, Australia)

van Oldenborgh GJ, Krikken F, Lewis S, Leach NJ, Lehner F, Saunders KR, van Weele M, Haustein K, Li S, Wallom D, Sparrow S, Arrighi J, Singh RK, van Aalst MK, Philip SY, Vautard R, Otto FEL (2021) Attribution of the Australian bushfire risk to anthropogenic climate change. Natural Hazards and Earth System Sciences 21, 941–960.
Attribution of the Australian bushfire risk to anthropogenic climate change.Crossref | GoogleScholarGoogle Scholar |

White JC, Wulder MA, Hermosilla T, Coops NC, Hobart GW (2017) A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment 194, 303–321.
A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series.Crossref | GoogleScholarGoogle Scholar |

Wood SW, Murphy BP, Bowman DMJS (2011) Firescape ecology: how topography determines the contrasting distribution of fire and rain forest in the south-west of the Tasmanian Wilderness World Heritage Area. Journal of Biogeography 38, 1807–1820.
Firescape ecology: how topography determines the contrasting distribution of fire and rain forest in the south-west of the Tasmanian Wilderness World Heritage Area.Crossref | GoogleScholarGoogle Scholar |

Wulder MA, White JC, Alvarez F, Han T, Rogan J, Hawkes B (2009) Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data. Remote Sensing of Environment 113, 1540–1555.
Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data.Crossref | GoogleScholarGoogle Scholar |

Zylstra P (2013) The historical influence of fire on the flammability of subalpine Snowgum forest and woodland. The Victorian Naturalist 130, 232–239.

Zylstra PJ (2018) Flammability dynamics in the Australian Alps. Austral Ecology 43, 578–591.
Flammability dynamics in the Australian Alps.Crossref | GoogleScholarGoogle Scholar |