This presentation by Diana Virkki of Griffith University discusses how differing fire regimes (i.e. repeated fires, variable fire histories and wildfire) influence native ground-dwelling anuran communities and cane toad abundance in sclerophyll forests of southeast Queensland.
Presentation from Nature Conservation Council of NSW 2017 Bushfire Conference - Fire, Fauna & Ferals: from backyards to bush
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BushfireConf2017 - 28. More burning, more warts: Frequent burning favours cane toads
1. More burning, more warts:
Frequent burning favours cane toads
Diana Virkki (Griffith University)
Cuong Tran (Ten Rivers)
Tom Lewis (DAF)
Guy Castley (Griffith University)
2. Disturbance processes and invasive species
Synergistic effects on native species
(Anson et al. 2013; McGregor et al. 2014; McGregor et al. 2015)
Open landscapes
Habitat generalists
Invasive species
Improve dispersal
Increase access to prey
Introduction
(McGregor et al. 2014)
3. Frequent burning – commonplace as land management tool
Fire
Reduces
vegetation cover
and homogenises
landscape
Habitat
structure
Favour invasive
species
Fire as a landscape disturbance process
4. Rhinella marina
Impacts on native fauna
Native to S America
Introduced to NQ in 1935
Fire commonly used
Relationships with fire, native anurans and cane toads unknown
Ecologically appropriate and sustainable fire management regimes ?
Cane toads
5. Native anurans and cane toads
Anurans Habitat heterogeneity
(Mac Nally et al. 2001, Williams and Hero 2001, Price et al. 2010)
Structural features, i.e. leaf litter, CWD
Habitat features reduced by fire
E.g. Burrowing frog (Myobatrachus gouldii) and wood frogs
(Rana sylvatica) require thick litter affected by fuel reduction
burning (Bamford 1992; Rittenhouse and Semlitsch 2007)
Cane toads Open habitats (Zug and Zug 1979, Brown et al. 2006)
Influence of disturbance, adding to pressure of invasive
cane toads
6. SEQ – impacted by cane toads
Do differing fire regimes (i.e. repeated fires, variable fire
histories and wildfire) influence native ground-dwelling
anuran communities and cane toad abundances in dry
sclerophyll forests of southeast Queensland?
Hypothesis:
Aims
Burning
Habitat
Heterogeneity
= + Native
anurans
+ Cane
toads
7. Study sites
Subtropical climate
mar approx. 1000 mm
St Mary
Tiaro
Bauple
Queensland
Study
region
Australia
Dry sclerophyll forest
60 Km
Fire history
Variable
Long-term fire
experiment
9. Four surveys at 35 plots
2 × winter, 2 × spring-summer
(2010 – 2013)
4 trap nights
Predictor variables:
Habitat structure
Structural features
Heterogeneity
Fire - spatial
Rainfall (BOM)
Data Collection
10. Changes in vegetation communities along transects
Shannon-Wiener diversity index; H = ∑(ni/N) ln(ni/N)
Habitat Heterogeneity
ni = species richness or length per
patch
N = total species or number of
patches
11. Results summary
Dependent variable
Treatment
favoured
Treatment
× season
Native abundance TB
Richness
AB, TB, WF
Cane toad - Rhinella marina* AB
Striped marsh frog – Limnodynastes peronii* TB, LU
Northern banjo frog – L. terraereginae* No preference
Spotted marsh frog - L. tasmaniensis* No preference Spring
Total significant (P<0.05) 3 1
Great barred frog - Mixophyes fasciolatus LU
Tusked frog - Adelotus brevis LU
Ornate Burrowing frog - Platyplectrum ornatum TB
Copper-backed brood frog - Pseudophryne raveni TB
Green-thighed frog - Litoria brevipalmata AB
Smooth toadlet - Uperoleia laevigata Mixed
Longer
unburned
10 year -
unburned
Annually
burned
Wildfire
Key
Triennially
burned
12. Figure. Anuran variables with a
significant (P<0.05) treatment
effect, showing mean ± S.E.
a) native anuran abundance,
b) anuran richness and
c) Limnodynastes peronii
abundance.
Effects of fire treatment on anurans
AB
TB
WF
SMWF
SM01
T03
T01
LU
0
2
4
6
8
10
12
Nativeanuranabundance
a
ab
ab
bc
bc
bc
c
c
AB
TB
WF
SMWF
SM01
T03
T01
LU
Treatment
0
1
2
3
4
5
6
Anuranrichness
a
a
a
b
b
b
b
b
Treatment
AB
TB
WF
SMWF
SM01
T03
T01
LU
Treatment
0
1
2
3
4
5
6
Limnodynastesperonii
a a
b b b b
a) b)
c)
Nativeanuran
abundance
Anuranrichness
Stripedmarsh
frogabundance
13. Figure. Anuran variables with
significant (P<0.05) interactive
effects of treatment × season,
with seasons separate, showing
mean ± S.E.
a) total anuran abundance and
b) Rhinella marina abundance.
Spring Winter
AB
TB
WF
SMWF
SM01
T03
T01
LU
Treatment
0
10
20
30
40
50
60
70
Totalanuranabundance
a
b
bcbc
c cc
c
AB
TB
WF
SMWF
SM01
T03
T01
LU
Treatment
0
2
4
6
8
10
12
Totalanuranabundance
AB
TB
WF
SMWF
SM01
T03
T01
LU
Treatment
0
1
2
3
4
Rhinellamarina
AB
TB
WF
SMWF
SM01
T03
T01
LU
Treatment
0
10
20
30
40
50
60
Rhinellamarina
a
b
bc
bc bc bc
bc
c
Effects of fire treatment × seasonality on anurans
Spring Winter
a)
b)
Totalanuran
abundance
Canetoad
abundance
14. Figure. Scatter plot of Limnodynastes terraereginae abundance with
time since fire (back transformed ln scale), showing line of best fit
(linear) and r2 for significantly correlated (P<0.05) abundances.
Effects of time since fire
0 0.7 1.7 3.5 6.4 11 19 32 53.5 89
Time since fire (ln scale)
0
2
4
6
8
10
12Limnodynastesterraereginae r2
= 0.115
-
Northern banjo frog
Limnodynastes terraereginae
Northernbanjofrog
abundance
15. Figure. Scatter plots of significant
(P<0.05) anuran relationships with
number of fires (back transformed ln
scale), showing line of best fit (linear
or quadratic) and r2 for a) anuran
abundance, b) anuran richness, c)
Rhinella marina abundance and d)
Limnodynastes tasmaniensis
abundance.
0 0.7 1.7 3.5 6.4 11 19 32
0
1
2
3
4
5
6
7
8
9
Anuranrichness
r2
= 0.066
b)
0 0.7 1.7 3.5 6.4 11 19 32
Fire frequency (ln scale)
0
20
40
60
80
100
Rhinellamarina
r2
= 0.254
c)
Number of fires (ln scale)
0 0.7 1.7 3.5 6.4 11 19 32
Fire frequency (ln scale)
0
2
4
6
8
10
Limnodynastestasmaniensis
r2
= 0.094
d)
Number of fires (ln scale)
0 0.7 1.7 3.5 6.4 11 19 32
0
20
40
60
80
100
120
Totalanuranabundance
r2
= 0.248
a)
Effects of number of fires
+
a) Total anuran abundance
b) Richness
c) Cane Toad
Rhinella marina
d) Spotted Marsh Frog
Limnodynastes tasmaniensis
Totalanuran
abundance
Anuranrichness
Canetoad
abundance
Spottedmarsh
frogabundance
16. * represents species modelled using AICc when over
dispersion was minimal.
Table 5. Model-averaged coefficients ± confidence
intervals of explanatory habitat, fire and weather
variables from negative binomial Generalised Linear
Mixed Models on anuran abundance, richness and
species-specific abundances. Bold values indicate
where coefficient confidence intervals do not overlap
zero.
Determining the most important variables for anurans
Dependent variable
Predictor variables
Bare CWD
Number of
fires Canopy H’ Ground H’ Litter Rainfall R2
glmm(m)
Total abundance 0.07 ± 0.38 -0.27 ± 0.29 -0.16 ± 0.37 -0.09 ± 0.26 0.25 ± 0.28 0.09 ± 0.33 0.20 ± 0.34 0.02
Native abundance 0.13 ± 0.43 -0.01 ± 0.34
Number of fires
0.52 ± 0.37
0.06 ± 0.28
Ground H’
0.66 ± 0.38
0.16 ± 0.32 0.25 ± 0.38 0.08
Richness 0.16 ± 0.17 -0.08 ± 0.17 0.15 ± 0.19 0.07 ± 0.17 0.14 ± 0.18 -0.03 ± 0.19
Rainfall
0.18 ± 0.17
0.07
Limnodynastes
peronii
0.13 ± 0.56 -0.03 ± 0.38 0.35 ± 0.48 -0.06 ± 0.30
Ground H’
0.67 ± 0.43
0.23 ± 0.42 0.39 ± 0.41 0.03
L. tasmaniensis* 0.42 ± 0.93 -0.82 ± 1.19 0.58 ± 1.15 0.76 ± 1.05 0.24 ± 1.04 -0.96 ± 1.01 0.10 ± 0.97 0.01
L. terraereginae* 0.02 ± 0.52 0.30 ± 0.52
Number of fires
0.70 ± 0.47
Canopy H’
0.55 ± 0.49
Ground H’
0.81 ± 0.49
0.43 ± 0.44 0.12 ± 0.49 0.52
Rhinella marina 0.34 ± 0.52 -0.16 ± 0.37 0.16 ± 0.60 -0.09 ± 0.33 0.06 ± 0.39
Litter
-0.47 ± 0.36
Rainfall
0.52 ± 0.38
0.08
Total Significant 2 1 3 1 2
17. Distance from watercourse
R² = 0.0155
0
5
10
15
20
25
0 200 400 600 800 1000 1200
R² = 4E-05
0
1
2
3
4
5
6
7
8
9
0 200 400 600 800 1000 1200
R² = 0.0182
0
10
20
30
40
50
60
70
80
90
100
0 200 400 600 800 1000 1200
Anuranrichness
Canetoad
abundance
Nativeanuran
abundance
Figure. Scatter plots anuran
relationships with distance
to nearest creekline
(moderate to major stream
based on q-spatial data),
showing line of best fit
(linear) and r2 for a) native
anuran abundance, b)
anuran richness, and c)
Rhinella marina abundance.
Distance to nearest creekline (m)
(Moderate – Major stream, Q-spatial data)
Distance to nearest creekline (m)
(Moderate – Major stream, Q-spatial data)
a)
b) c)
18. Discussion
Anurans persisted with frequent fire events
Refuted hypothesis: frequent burning reduces habitat H’ and
negatively impacts on anurans
Long-term fire experiment, favoured anurans
Regular (small-scale) low intensity fires
Fine-scale patchiness playing a role
Scale of patchiness
Fine-scale patchiness or large unburnt patches?
Annually burnt plot – Bauple State Forest
19. Anurans often unaffected or positively affected by fire
(Hannah et al. 1998, Keyser et al. 2004, Perry et al. 2009, Lowe et al. 2013)
Avoid mortality
Moist microhabitat
Retreat underground or into water
(Perry et al. 2009, Lowe et al. 2013)
Congruent with results low intensity burns
Particularly for cane toads
Anurans and fire
20. Toad preferences
Favoured very frequently burned sites Annually burned and triennially burned sites
Past research (USA)
Cane toads negatively associated with litter
preferred frequently disturbed areas
More abundant in open grassland and disturbed habitats
Species Trends with fire References
Cane toad Not described
Dwarf American toad
Bufo americanus charlessmithi
More abundant 1 yr post-fire Perry et al. 2009
American toad
B. americanus
Higher numbers in burnt forest Kirkland et al. 1996,
Greenberg and Waldrop
2008
Boreal toad
Anaxyrus boreas
Abundance tripled in the 3yrs after fire Hossack et al. 2013
21. Habitat Heterogeneity
Anuran richness related to habitat heterogeneity
(Dupuis et al. 1995, Delis et al. 1996, Pearman 1997, Williams and Hero 2001).
Canopy and ground H’ key predictors
Important for native species
Repeated burning may reduce fine-scale habitat H’
Patchy, mosaic burns important
Guidelines for DSF in SEQ: 40-80% mosaic
Ideal scale of patchiness unknown
22. Summary
Species not excluded from frequent burns
Positive outcomes:
Anurans resilient to fires
Negative outcomes:
Cane toads favoured at frequently burnt areas
Potential impacts on natives through:
Competition or predation (Boland 2004, Greenlees et al. 2006)
Ingestion of toxins (Phillips et al. 2003)
Land managers need to consider this in fire
management if planning for biodiversity outcomes
Important in high risk areas, i.e. vulnerable
wetlands or areas with threatened anurans
23. Dr Diana Virkki – virkkid@tenrivers.com.au
Dr Cuong Tran
Dr Tom Lewis
Dr Guy Castley