Difficulties of assessing the impacts of the 2019–2020 bushfires on koalas

The 2019–2020 Australian bushfires were unprecedented both in extent and severity, impacting wildlife through direct mortality as well as habitat damage. More than 10% of koala habitat is estimated to have been affected by fires. Estimating the number of koalas lost is crucial to assess koala conser...

Full description

Saved in:
Bibliographic Details
Published inAustral ecology Vol. 48; no. 1; pp. 12 - 18
Main Authors Cristescu, Romane H, Gardiner, Riana, Terraube, Julien, McDonald, Kye, Powell, Dan, Levengood, Alexis L., Frère, Céline H
Format Journal Article
LanguageEnglish
Published Richmond Blackwell Publishing Ltd 01.02.2023
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The 2019–2020 Australian bushfires were unprecedented both in extent and severity, impacting wildlife through direct mortality as well as habitat damage. More than 10% of koala habitat is estimated to have been affected by fires. Estimating the number of koalas lost is crucial to assess koala conservation status and to determine the appropriate management actions required. However, this is not a trivial task, as accurate data on koala distribution and population density before the fires is patchy. Acknowledging this weakness, we sought to estimate fire impact on koalas at specific sites, by comparing habitat areas affected by the fire with habitat areas that were unaffected by the fire, pairing closely related study sites (based on geography and vegetation). To compare koala density, we deployed two koala detection methods; drone‐acquired thermal imagery and detection dogs coupled with genetic fingerprinting, in four fire‐affected sites paired with four control sites in New South Wales and Queensland. Through drone surveys, we detected 140 koalas in 5,240 ha in New South Wales. The detection dogs found 144 scat samples corresponding to 79 unique koalas in 77 ha of transects in Queensland. Our preliminary results show many koalas were still present in fire‐affected areas after the 2019–2020 bushfire season. Koala density was 24 to 71% lower in fire‐affected sites compared with control sites in three of the habitat pairs, whereas unexpectedly, in the fourth pair, we observed a 317% higher koala density in the fire‐affected site. This underlined that koalas can be present in fire‐affected areas and that monitoring their health could be critical for months after the fires. We deployed two koala detection methods to compare koala density; drone‐acquired thermal imagery and detection dogs coupled with genetic fingerprinting, in four fire‐affected and four control sites in New South Wales and Queensland. Our preliminary results show many koalas were still present in fire‐affected areas following the 2019‐2020 bushfire season. Koala density was 24 to 71% lower in fire‐affected sites compared to control sites in three out of four of the habitat pairs.
AbstractList The 2019–2020 Australian bushfires were unprecedented both in extent and severity, impacting wildlife through direct mortality as well as habitat damage. More than 10% of koala habitat is estimated to have been affected by fires. Estimating the number of koalas lost is crucial to assess koala conservation status and to determine the appropriate management actions required. However, this is not a trivial task, as accurate data on koala distribution and population density before the fires is patchy. Acknowledging this weakness, we sought to estimate fire impact on koalas at specific sites, by comparing habitat areas affected by the fire with habitat areas that were unaffected by the fire, pairing closely related study sites (based on geography and vegetation). To compare koala density, we deployed two koala detection methods; drone‐acquired thermal imagery and detection dogs coupled with genetic fingerprinting, in four fire‐affected sites paired with four control sites in New South Wales and Queensland. Through drone surveys, we detected 140 koalas in 5,240 ha in New South Wales. The detection dogs found 144 scat samples corresponding to 79 unique koalas in 77 ha of transects in Queensland. Our preliminary results show many koalas were still present in fire‐affected areas after the 2019–2020 bushfire season. Koala density was 24 to 71% lower in fire‐affected sites compared with control sites in three of the habitat pairs, whereas unexpectedly, in the fourth pair, we observed a 317% higher koala density in the fire‐affected site. This underlined that koalas can be present in fire‐affected areas and that monitoring their health could be critical for months after the fires.
The 2019–2020 Australian bushfires were unprecedented both in extent and severity, impacting wildlife through direct mortality as well as habitat damage. More than 10% of koala habitat is estimated to have been affected by fires. Estimating the number of koalas lost is crucial to assess koala conservation status and to determine the appropriate management actions required. However, this is not a trivial task, as accurate data on koala distribution and population density before the fires is patchy. Acknowledging this weakness, we sought to estimate fire impact on koalas at specific sites, by comparing habitat areas affected by the fire with habitat areas that were unaffected by the fire, pairing closely related study sites (based on geography and vegetation). To compare koala density, we deployed two koala detection methods; drone‐acquired thermal imagery and detection dogs coupled with genetic fingerprinting, in four fire‐affected sites paired with four control sites in New South Wales and Queensland. Through drone surveys, we detected 140 koalas in 5,240 ha in New South Wales. The detection dogs found 144 scat samples corresponding to 79 unique koalas in 77 ha of transects in Queensland. Our preliminary results show many koalas were still present in fire‐affected areas after the 2019–2020 bushfire season. Koala density was 24 to 71% lower in fire‐affected sites compared with control sites in three of the habitat pairs, whereas unexpectedly, in the fourth pair, we observed a 317% higher koala density in the fire‐affected site. This underlined that koalas can be present in fire‐affected areas and that monitoring their health could be critical for months after the fires. We deployed two koala detection methods to compare koala density; drone‐acquired thermal imagery and detection dogs coupled with genetic fingerprinting, in four fire‐affected and four control sites in New South Wales and Queensland. Our preliminary results show many koalas were still present in fire‐affected areas following the 2019‐2020 bushfire season. Koala density was 24 to 71% lower in fire‐affected sites compared to control sites in three out of four of the habitat pairs.
The 2019–2020 Australian bushfires were unprecedented both in extent and severity, impacting wildlife through direct mortality as well as habitat damage. More than 10% of koala habitat is estimated to have been affected by fires. Estimating the number of koalas lost is crucial to assess koala conservation status and to determine the appropriate management actions required. However, this is not a trivial task, as accurate data on koala distribution and population density before the fires is patchy. Acknowledging this weakness, we sought to estimate fire impact on koalas at specific sites, by comparing habitat areas affected by the fire with habitat areas that were unaffected by the fire, pairing closely related study sites (based on geography and vegetation). To compare koala density, we deployed two koala detection methods; drone‐acquired thermal imagery and detection dogs coupled with genetic fingerprinting, in four fire‐affected sites paired with four control sites in New South Wales and Queensland. Through drone surveys, we detected 140 koalas in 5,240 ha in New South Wales. The detection dogs found 144 scat samples corresponding to 79 unique koalas in 77 ha of transects in Queensland. Our preliminary results show many koalas were still present in fire‐affected areas after the 2019–2020 bushfire season. Koala density was 24 to 71% lower in fire‐affected sites compared with control sites in three of the habitat pairs, whereas unexpectedly, in the fourth pair, we observed a 317% higher koala density in the fire‐affected site. This underlined that koalas can be present in fire‐affected areas and that monitoring their health could be critical for months after the fires.
Author Frère, Céline H
Cristescu, Romane H
McDonald, Kye
Levengood, Alexis L.
Gardiner, Riana
Powell, Dan
Terraube, Julien
Author_xml – sequence: 1
  givenname: Romane H
  orcidid: 0000-0001-7071-5245
  surname: Cristescu
  fullname: Cristescu, Romane H
  email: rcristes@usc.edu.au
  organization: University of the Sunshine Coast
– sequence: 2
  givenname: Riana
  orcidid: 0000-0001-7782-8664
  surname: Gardiner
  fullname: Gardiner, Riana
  organization: University of the Sunshine Coast
– sequence: 3
  givenname: Julien
  surname: Terraube
  fullname: Terraube, Julien
  organization: University of the Sunshine Coast
– sequence: 4
  givenname: Kye
  surname: McDonald
  fullname: McDonald, Kye
  organization: University of the Sunshine Coast
– sequence: 5
  givenname: Dan
  surname: Powell
  fullname: Powell, Dan
  organization: University of the Sunshine Coast
– sequence: 6
  givenname: Alexis L.
  surname: Levengood
  fullname: Levengood, Alexis L.
  organization: University of the Sunshine Coast
– sequence: 7
  givenname: Céline H
  surname: Frère
  fullname: Frère, Céline H
  organization: University of the Sunshine Coast
BookMark eNp1kLtOAzEQRS0UJJJAwR-sRANFkvFjHy6jEB5SJBqoLa8zJg6bdVjvCqXjH_hDvoTNQxQRTDMzmnOvRrdHOqUvkZBLCkPa1kijGVJOGZyQLhWCDaSUvPM7Z_EZ6YWwBIAskbRLZrfOWmeaonYYIm8jHQKG4MrXqF5g5FZrberdYbsyoPL784sBgyhvwsK6aqsqozevCx3OyanVRcCLQ--Tl7vp8-RhMHu6f5yMZwPDOcAg5vOMY2qp4TqWmCdCo7QG54alORMgY8sNQsY0F8kcUsE00JxlOUUJJk55n1zvfdeVf28w1GrlgsGi0CX6JiiWUSqlgDhr0asjdOmbqmy_UyxNsoQxkbKWGu0pU_kQKrTKuFrXzpd1pV2hKKhtuqpNV-3SbRU3R4p15Va62vzJHtw_XIGb_0E1nk72ih9kn4ky
CitedBy_id crossref_primary_10_1071_AM23054
crossref_primary_10_1111_avj_13413
crossref_primary_10_1111_geb_13458
crossref_primary_10_1080_13549839_2024_2449421
crossref_primary_10_1111_aec_13247
crossref_primary_10_3390_ani13182863
crossref_primary_10_1186_s40462_024_00519_0
crossref_primary_10_1007_s10592_025_01682_6
crossref_primary_10_1111_aec_13513
crossref_primary_10_1016_j_iot_2024_101474
crossref_primary_10_1111_csp2_13180
crossref_primary_10_1071_PC24019
crossref_primary_10_1002_eap_3062
crossref_primary_10_1111_csp2_12874
crossref_primary_10_3390_ani14071019
crossref_primary_10_1111_geb_13473
Cites_doi 10.1155/2012/631856
10.1071/WF15171
10.1111/j.1442-9993.1988.tb00993.x
10.1111/emr.12458
10.1016/j.tree.2020.06.009
10.1073/pnas.1607171113
10.1111/acv.12455
10.1038/s41598-019-39917-5
10.1038/s41559-020-1251-1
10.1890/ES15-00327.1
10.1038/s41558-020-0716-1
10.1111/j.1600-0587.2010.05908.x
10.1111/1755-0998.12101
10.1016/j.biocon.2013.07.028
10.1038/srep08349
10.1126/science.abb0355
10.1111/1365-2664.13127
10.1038/s41559-020-1195-5
10.1071/WR06075
10.1111/mam.12151
10.1371/journal.pone.0242204
10.1071/AM14010
ContentType Journal Article
Copyright 2021 Ecological Society of Australia
2023 Ecological Society of Australia
Copyright_xml – notice: 2021 Ecological Society of Australia
– notice: 2023 Ecological Society of Australia
DBID AAYXX
CITATION
7QG
7QR
7SN
7SS
8FD
C1K
FR3
P64
7S9
L.6
DOI 10.1111/aec.13120
DatabaseName CrossRef
Animal Behavior Abstracts
Chemoreception Abstracts
Ecology Abstracts
Entomology Abstracts (Full archive)
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Biotechnology and BioEngineering Abstracts
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
Entomology Abstracts
Technology Research Database
Animal Behavior Abstracts
Chemoreception Abstracts
Engineering Research Database
Ecology Abstracts
Biotechnology and BioEngineering Abstracts
Environmental Sciences and Pollution Management
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList CrossRef

AGRICOLA
Entomology Abstracts
DeliveryMethod fulltext_linktorsrc
Discipline Biology
Ecology
Geography
EISSN 1442-9993
EndPage 18
ExternalDocumentID 10_1111_aec_13120
AEC13120
Genre article
GeographicLocations Queensland Australia
Australia
New South Wales Australia
Queensland
GeographicLocations_xml – name: New South Wales Australia
– name: Queensland Australia
– name: Australia
– name: Queensland
GrantInformation_xml – fundername: Animal Ethics
  funderid: AN/A/16/113; AN/A/15/94
– fundername: Scientific Permits
  funderid: WISP11677512; WITK16401215; TWB272015; SL101741
GroupedDBID -~X
.3N
.GA
.Y3
05W
0R~
10A
1OB
1OC
23N
31~
33P
3SF
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52S
52T
52U
52W
52X
53G
5GY
5HH
5LA
5VS
66C
6J9
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A03
AAESR
AAEVG
AAHBH
AAHHS
AAHQN
AAMNL
AANHP
AANLZ
AAONW
AASGY
AAXRX
AAYCA
AAZKR
ABCQN
ABCUV
ABEML
ABJNI
ABPVW
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFS
ACIWK
ACPOU
ACPRK
ACRPL
ACSCC
ACXBN
ACXQS
ACYXJ
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADNMO
ADOZA
ADXAS
ADZMN
ADZOD
AEEZP
AEGXH
AEIGN
AEIMD
AENEX
AEQDE
AEUQT
AEUYR
AFBPY
AFEBI
AFFPM
AFGKR
AFPWT
AFRAH
AFWVQ
AFZJQ
AHBTC
AITYG
AIURR
AIWBW
AJBDE
AJXKR
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
ALVPJ
AMBMR
AMYDB
ASPBG
ATUGU
AUFTA
AVWKF
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BY8
CAG
COF
CS3
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRSTM
EBS
ECGQY
EJD
ESX
F00
F01
F04
FEDTE
G-S
G.N
GODZA
H.T
H.X
HF~
HGLYW
HVGLF
HZI
HZ~
IHE
IX1
J0M
K48
LATKE
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
MEWTI
MK4
MRFUL
MRSTM
MSFUL
MSSTM
MXFUL
MXSTM
N04
N05
N9A
NF~
O66
O9-
OIG
P2W
P2X
P4D
PQQKQ
Q.N
Q11
QB0
R.K
RIWAO
RJQFR
ROL
RX1
SUPJJ
UB1
V8K
W8V
W99
WBKPD
WIH
WIK
WNSPC
WOHZO
WQJ
WRC
WXSBR
WYISQ
XG1
ZZTAW
~02
~IA
~KM
~WT
AAYXX
AEYWJ
AGHNM
AGQPQ
AGYGG
CITATION
7QG
7QR
7SN
7SS
8FD
AAMMB
AEFGJ
AGXDD
AIDQK
AIDYY
C1K
FR3
P64
7S9
L.6
ID FETCH-LOGICAL-c3300-53d83e7f1c3a59eb64ae9fcedc27b24095f3ce082a346d0742a01b28b1e90c573
IEDL.DBID DR2
ISSN 1442-9985
IngestDate Fri Jul 11 18:37:53 EDT 2025
Wed Aug 13 04:52:16 EDT 2025
Tue Jul 01 03:47:40 EDT 2025
Thu Apr 24 23:06:20 EDT 2025
Wed Jan 22 16:24:42 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c3300-53d83e7f1c3a59eb64ae9fcedc27b24095f3ce082a346d0742a01b28b1e90c573
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0001-7782-8664
0000-0001-7071-5245
PQID 2768622472
PQPubID 46239
PageCount 18
ParticipantIDs proquest_miscellaneous_2811994058
proquest_journals_2768622472
crossref_citationtrail_10_1111_aec_13120
crossref_primary_10_1111_aec_13120
wiley_primary_10_1111_aec_13120_AEC13120
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate February 2023
PublicationDateYYYYMMDD 2023-02-01
PublicationDate_xml – month: 02
  year: 2023
  text: February 2023
PublicationDecade 2020
PublicationPlace Richmond
PublicationPlace_xml – name: Richmond
PublicationTitle Austral ecology
PublicationYear 2023
Publisher Blackwell Publishing Ltd
Publisher_xml – name: Blackwell Publishing Ltd
References 2019; 9
2015; 6
2020; 4
2015; 5
2012; 2012
2019; 22
2021
2013; 13
2020; 370
2016; 113
2013; 167
2019; 49
2020; 15
1988; 13
2016
2020; 35
2011; 34
2020; 10
2018; 55
2016; 38
2007; 34
2016; 25
e_1_2_7_6_1
e_1_2_7_5_1
e_1_2_7_4_1
e_1_2_7_3_1
e_1_2_7_9_1
e_1_2_7_8_1
e_1_2_7_7_1
e_1_2_7_19_1
e_1_2_7_18_1
e_1_2_7_17_1
e_1_2_7_16_1
e_1_2_7_2_1
e_1_2_7_15_1
e_1_2_7_14_1
e_1_2_7_25_1
e_1_2_7_13_1
e_1_2_7_24_1
e_1_2_7_23_1
e_1_2_7_11_1
e_1_2_7_22_1
e_1_2_7_10_1
e_1_2_7_21_1
e_1_2_7_20_1
Herbarium Q. (e_1_2_7_12_1) 2016
References_xml – volume: 22
  start-page: 314
  year: 2019
  end-page: 23
  article-title: Environmental impact assessments can misrepresent species distributions: a case study of koalas in Queensland, Australia
  publication-title: Animal Conservation.
– volume: 167
  start-page: 137
  year: 2013
  end-page: 48
  article-title: Fire severity and landscape context effects on arboreal marsupials
  publication-title: Biol. Cons.
– volume: 34
  start-page: 84
  year: 2007
  end-page: 93
  article-title: Tree use by koalas (Phascolarctos cinereus) after fire in remnant coastal forest
  publication-title: Wildl. Res.
– volume: 9
  start-page: 3208
  year: 2019
  article-title: Automated detection of koalas using low‐level aerial surveillance and machine learning
  publication-title: Scientific Reports.
– volume: 4
  start-page: 898
  year: 2020
  end-page: 900
  article-title: Recent Australian wildfires made worse by logging and associated forest management
  publication-title: Nature Ecology & Evolution
– volume: 4
  start-page: 1321
  year: 2020
  end-page: 6
  article-title: Impact of 2019–2020 mega‐fires on Australian fauna habitat
  publication-title: Nature Ecology & Evolution
– volume: 6
  issue: 10
  year: 2015
  article-title: Fire severity and fire‐induced landscape heterogeneity affect arboreal mammals in fire‐prone forests
  publication-title: Ecosphere
– volume: 13
  start-page: 451
  year: 1988
  end-page: 61
  article-title: A koala (Phascolarctos cinereus Goldfuss) population crash during drought and heatwave conditions in south‐western Queensland
  publication-title: Australian Journal of Ecology.
– volume: 370
  year: 2020
  article-title: Fire and biodiversity in the Anthropocene
  publication-title: Science
– volume: 38
  start-page: 91
  year: 2016
  end-page: 104
  article-title: Movement patterns of koalas in remnant forest after fire
  publication-title: Australian Mammalogy
– volume: 35
  start-page: 753
  year: 2020
  end-page: 7
  article-title: After the Megafires: What Next for Australian Wildlife?
  publication-title: Trends Ecology & Evolution.
– volume: 2012
  start-page: 1
  year: 2012
  end-page: 12
  article-title: Experimental Evaluation of Koala Scat Persistence and Detectability with Implications for Pellet‐Based Fauna Census
  publication-title: International Journal of Zoology
– volume: 5
  start-page: 1
  year: 2015
  end-page: 6
  article-title: Accuracy and efficiency of detection dogs: a powerful new tool for koala conservation and management
  publication-title: Scientific Reports
– year: 2021
– volume: 13
  start-page: 634
  year: 2013
  end-page: 41
  article-title: Reliable genotyping of the koala (Phascolarctos cinereus) using DNA isolated from a single faecal pellet
  publication-title: Molecular Ecology. Resources.
– volume: 34
  start-page: 141
  year: 2011
  end-page: 50
  article-title: The consequences of using indirect signs that decay to determine species’ occupancy
  publication-title: Ecography
– volume: 49
  start-page: 189
  year: 2019
  end-page: 200
  article-title: Prioritising research efforts for effective species conservation: a review of 145 years of koala research
  publication-title: Mammal Review
– year: 2016
– volume: 25
  start-page: 1048
  year: 2016
  end-page: 60
  article-title: The role of weather, past fire and topography in crown fire occurrence in eastern Australia
  publication-title: International Journal of Wildland Fire
– volume: 113
  start-page: 11770
  issue: 42
  year: 2016
  end-page: 11775
  article-title: Impact of anthropogenic climate change on wildfire across western US forests
  publication-title: Proceedings of the National Academy of Sciences
– volume: 10
  start-page: 171
  year: 2020
  end-page: 2
  article-title: Unprecedented burn area of Australian mega forest fires
  publication-title: Nature Climate Change
– volume: 55
  start-page: 1966
  year: 2018
  end-page: 75
  article-title: Management of multiple threats achieves meaningful koala conservation outcomes
  publication-title: J. Appl. Ecol.
– volume: 15
  year: 2020
  article-title: Real‐time drone derived thermal imagery outperforms traditional survey methods for an arboreal forest mammal
  publication-title: PLoS One
– volume-title: Regional Ecosystem Description Database (REDD)
  year: 2016
  ident: e_1_2_7_12_1
– ident: e_1_2_7_9_1
  doi: 10.1155/2012/631856
– ident: e_1_2_7_21_1
  doi: 10.1071/WF15171
– ident: e_1_2_7_11_1
  doi: 10.1111/j.1442-9993.1988.tb00993.x
– ident: e_1_2_7_19_1
  doi: 10.1111/emr.12458
– ident: e_1_2_7_24_1
  doi: 10.1016/j.tree.2020.06.009
– ident: e_1_2_7_2_1
  doi: 10.1073/pnas.1607171113
– ident: e_1_2_7_10_1
  doi: 10.1111/acv.12455
– ident: e_1_2_7_16_1
– ident: e_1_2_7_7_1
  doi: 10.1038/s41598-019-39917-5
– ident: e_1_2_7_22_1
  doi: 10.1038/s41559-020-1251-1
– ident: e_1_2_7_6_1
  doi: 10.1890/ES15-00327.1
– ident: e_1_2_7_5_1
  doi: 10.1038/s41558-020-0716-1
– ident: e_1_2_7_20_1
  doi: 10.1111/j.1600-0587.2010.05908.x
– ident: e_1_2_7_23_1
  doi: 10.1111/1755-0998.12101
– ident: e_1_2_7_14_1
  doi: 10.1016/j.biocon.2013.07.028
– ident: e_1_2_7_8_1
  doi: 10.1038/srep08349
– ident: e_1_2_7_13_1
  doi: 10.1126/science.abb0355
– ident: e_1_2_7_4_1
  doi: 10.1111/1365-2664.13127
– ident: e_1_2_7_15_1
  doi: 10.1038/s41559-020-1195-5
– ident: e_1_2_7_17_1
  doi: 10.1071/WR06075
– ident: e_1_2_7_3_1
  doi: 10.1111/mam.12151
– ident: e_1_2_7_25_1
  doi: 10.1371/journal.pone.0242204
– ident: e_1_2_7_18_1
  doi: 10.1071/AM14010
SSID ssj0008691
Score 2.4323885
Snippet The 2019–2020 Australian bushfires were unprecedented both in extent and severity, impacting wildlife through direct mortality as well as habitat damage. More...
SourceID proquest
crossref
wiley
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 12
SubjectTerms conservation dog
Conservation status
detector dog
DNA fingerprinting
drone
feces
Fires
Forest & brush fires
Genetic fingerprinting
Geography
Habitats
Image acquisition
Impact damage
mortality
non‐invasive methods
Phascolarctos cinereus
Population density
Queensland
sniffer dog
Sniffer dogs
thermal imagery
thermography
vegetation
Wildfires
Wildlife
Wildlife habitats
Wildlife management
Title Difficulties of assessing the impacts of the 2019–2020 bushfires on koalas
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Faec.13120
https://www.proquest.com/docview/2768622472
https://www.proquest.com/docview/2811994058
Volume 48
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA6yIHjxLa4vqnjw0qVN2iTFk-guIupBXPAglCRNEFa64u4e9OR_8B_6S5xJ2_WBgkgvKZm2aSaTmUky3xCybxIaq8LwUDuuw0S7OMxcIUIdW22yyNgownjni0t-2k_ObtKbGXLYxMJU-BDTBTeUDD9fo4ArPfok5MqaTsxiiv46ntVCg-jqAzpKcp8tD_wFGoJLkdaoQniKZ_rkV130YWB-NlO9nuktkNumhdXxkkFnMtYd8_wNvPGfv7BI5mv7MziqBswSmbHlMpmtMlI-QanrUayfVsj5Ca7mIDAH-NLB0AXKbw-DpgvAZgyq6Epfgbeg4LO3l1cKZmGgJ6M7BzMpVJbBYIiBmquk3-teH5-GdeqF0DAWRWHKCsmscLFhKs2s5omymTO2MFRoMAKy1DHgo6SKJbxA_1pFsaYSWAwMTgVbI61yWNp1EsjUSa4iaTl4kokQ2oLvC6-TCVwi421y0DAhNzUuOabHuM8b_wS6Kffd1CZ7U9KHCozjJ6KthpN5LY-jnAqMhKGJoG2yO60GScLtEVXa4QRoZIxAyVEqoUmebb9_JD_qHvvCxt9JN8kc5qqvjnxvkdb4cWK3waIZ6x0_dN8Bwrbu6g
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1fa9swED9Cx9he9rdl6brOG3vYi4Mt2ZIMewlpQtamfRgN5GUYSZYodDijTR66p32HfcN-kt7JdtqNDsbwi4zOtqzT6e4k3e8APtiMpbqyIjZemDgzPo0LX8nYpM7YIrEuSSje-fhETOfZ4SJf9OBTFwvT4ENsFtxIMsJ8TQJOC9J3pFw7O0h5ytBhf0AZvQk5_-DLLXiUEiFfHnoMLEanIm9xhegcz-bR37XRrYl511ANmmbyFL52bWwOmJwP1iszsD_-gG_83594Bk9aEzQaNmPmOfRc_QIeNkkpr7A0DkDWVy9hdkALOoTNge50tPSRDjvEqOwiNBujJsAyVNAt6vji-ucvhpZhZNaXZx4nU6yso_MlxWpuw3wyPh1N4zb7Qmw5T5I455XiTvrUcp0XzohMu8JbV1kmDdoBRe45slIxzTNRkYutk9QwhVxGHueS78BWvazdK4hU7pXQiXICnclMSuPQ_cXXqQwvWYg-fOy4UNoWmpwyZHwrOxcFu6kM3dSH9xvS7w0ex31Eex0ry1YkL0smKRiGZZL14d2mGoWJdkh07ZZrpFEpYSUnucImBb79_SPlcDwKhd1_J30Lj6anx7Ny9vnk6DU8ptT1zQnwPdhaXazdGzRwVmY_jOMbvujzBg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NTtwwEB4hKiouLbRFXX7TqgcuWTm2YzvqCbG74q-oqkDiUCmyHVtIVFlUdg9w4h14Q56kYydZKGolhHJx5EnieDyeGdvzDcAXy2mmKytS44VJufFZWvhKpiZzxhbEOkJCvPO3Y7F3yg_O8rM5-NrFwjT4ELMFtyAZcb4OAn5Z-UdCrp3tZyyj6K-_4oIUIW_D4McDdpQSMV0eOgw0RZ8ib2GFwjGe2aN_K6MHC_OxnRoVzegt_Oya2JwvuehPJ6Zvb56gN77wH5bgTWuAJjvNiFmGOVe_g4UmJeU1loYRxvr6PRwNwnJOQOZAZzoZ-0TH_WFUdQkajUkTXhkrwi1q-OL-9o6iXZiY6dW5x6kUK-vkYhwiNT_A6Wh4sruXtrkXUssYIWnOKsWc9JllOi-cEVy7wltXWSoNWgFF7hkyUlHNuKiCg61JZqhCHiOHc8lWYL4e1-4jJCr3SmiiHDKJcymNQ-cXX6c4XrIQPdjumFDaFpg85Mf4VXYOCnZTGbupB59npJcNGse_iNY7TpatQF6VVIZQGMol7cGnWTWKUtgf0bUbT5FGZQEpmeQKmxTZ9v-PlDvD3VhYfT7pFrz-PhiVR_vHh2uwGPLWN8e_12F-8nvqNtC6mZjNOIr_AOvP8bU
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Difficulties+of+assessing+the+impacts+of+the+2019%E2%80%932020+bushfires+on+koalas&rft.jtitle=Austral+ecology&rft.au=Cristescu%2C+Romane+H&rft.au=Gardiner%2C+Riana&rft.au=Terraube%2C+Julien&rft.au=McDonald%2C+Kye&rft.date=2023-02-01&rft.issn=1442-9985&rft.volume=48&rft.issue=1+p.12-18&rft.spage=12&rft.epage=18&rft_id=info:doi/10.1111%2Faec.13120&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1442-9985&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1442-9985&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1442-9985&client=summon