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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-<br />
Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong><br />
North-Western Victoria<br />
Status, Distribution, <strong>and</strong> Habitat Requirements in the Kerang <strong>and</strong><br />
Mildura regions<br />
Michael J. Smith, Michael P. Scroggie, <strong>and</strong> Ruth Lennie<br />
2008<br />
Arthur Rylah Institute for Environmental Research<br />
Technical Report Series No. 171
Arthur Rylah Institute for Environmental Research Technical Report Series No. 171<br />
The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-<br />
Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong><br />
North-Western Victoria<br />
Status, Distribution, <strong>and</strong> Habitat Requirements in the Kerang <strong>and</strong><br />
Mildura regions<br />
Michael J. Smith, Michael P. Scroggie, <strong>and</strong> Ruth Lennie<br />
Arthur Rylah Institute for Environmental Research<br />
123 Brown Street, Heidelberg, Victoria 3084<br />
February 2008<br />
Arthur Rylah Institute for Environmental Research, <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment.<br />
Heidelberg, Victoria.
Report produced by: Arthur Rylah Institute for Environmental Research<br />
<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment<br />
PO Box 137<br />
Heidelberg, Victoria 3084<br />
Phone (03) 9450 8600<br />
Website: www.dse.vic.gov.au/ari<br />
© State <strong>of</strong> Victoria, <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment 2008<br />
This publication is copyright. Apart from fair dealing for the purposes <strong>of</strong> private study, research, criticism or<br />
review as permitted under the Copyright Act 1968, no part may be reproduced, copied, transmitted in any<br />
form or by any means (electronic, mechanical or graphic) without the prior written permission <strong>of</strong> the State <strong>of</strong><br />
Victoria, <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment. All requests <strong>and</strong> enquires should be directed to the<br />
Customer Service Centre, 136 186 or email customer.service@dse.vic.gov.au<br />
Citation<br />
Smith, M. J., Scroggie, M. P., <strong>and</strong> Lennie, R. (2008) The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer<br />
Breeding Frogs <strong>of</strong> North-Western Victoria: Status, Distribution, <strong>and</strong> Habitat Requirements in the Kerang <strong>and</strong><br />
Mildura regions. Arthur Rylah Institute for Environmental Research Technical Report Series No. 171.<br />
<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment, Heidelberg, Victoria.<br />
ISBN (print) 978-1-74208-260-8<br />
ISBN (online) 978-1-74208-261-5<br />
ISSN (print) 1835 3827<br />
ISSN (online) 1835 3835<br />
Disclaimer<br />
This publication may be <strong>of</strong> assistance to you but the State <strong>of</strong> Victoria <strong>and</strong> its employees do not guarantee that<br />
the publication is without flaw <strong>of</strong> any kind or is wholly appropriate for your particular purposes <strong>and</strong> therefore<br />
disclaims all liability for any error, loss or other consequence which may arise from you relying on any<br />
information in this publication.<br />
Front cover photo: <strong>Growling</strong> Grass Frog Litoria raniformis (Michael Smith). All other photographs taken by<br />
Michael Smith<br />
Authorised by the Victorian Government, Melbourne.<br />
Printed by: NMIT Printroom, 77-91 St Georges Road, Preston 3072
Contents<br />
List <strong>of</strong> tables <strong>and</strong> figures .........................................................................................................................ii<br />
Acknowledgements ................................................................................................................................ iii<br />
Summary................................................................................................................................................... iv<br />
1 Introduction.......................................................................................................................................1<br />
1.1 Objectives............................................................................................................................................... 3<br />
2 Methods ..............................................................................................................................................4<br />
2.1 General Design ............................................................................................................................... 4<br />
2.2 Statistical Analyses........................................................................................................................ 6<br />
3 Results ................................................................................................................................................7<br />
3.1 Occupancy <strong>and</strong> Detectability ...................................................................................................... 7<br />
3.2 Habitat Requirements................................................................................................................. 15<br />
4 Discussion....................................................................................................................................... 19<br />
4.1 Recommendations.............................................................................................................. 21<br />
5 References....................................................................................................................................... 23<br />
6 Appendix 1. Sample data sheet................................................................................................... 25<br />
i
List <strong>of</strong> tables <strong>and</strong> figures<br />
Table 1: General description <strong>and</strong> conservation status <strong>of</strong> species expected to breed in the<br />
study regions from late spring <strong>and</strong> summer. Conservation status for secure species is<br />
based upon a classification by the <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment<br />
(<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment 2003)................................................................3<br />
Table 2: The number <strong>of</strong> sites in each water body category that <strong>frog</strong> species were detected in.<br />
.......................................................................................................................................................................7<br />
Figure 1: Map showing the historical records for the <strong>Growling</strong> Grass Frog in Victoria <strong>and</strong> the<br />
two study areas, Kerang region (right) <strong>and</strong> the Mildura region (left).......................................2<br />
Figure 2: Distribution <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions. Sites where both<br />
physical <strong>and</strong> chemical measurements were made are indicated. Axes markers are UTM. 5<br />
Figure 3: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including those where<br />
the <strong>Growling</strong> Grass Frog was detected. Axes are in UTM. ...........................................................8<br />
Figure 4: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including those where<br />
Peron’s Tree Frogs were detected. Axes are in UTM......................................................................9<br />
Figure 5: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including those where<br />
the Barking Marsh Frog was detected. Axes are in UTM. ...........................................................10<br />
Figure 6: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including those where<br />
the Spotted Marsh Frog was detected. Axes are in UTM...........................................................11<br />
Figure 7: Location <strong>of</strong> study sites in the Kerang region, including those where Pobblebonk<br />
Frogs (Top) <strong>and</strong> the Common Froglet (Bottom) were detected. Axes are in UTM. .............12<br />
Figure 8: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including those where<br />
the Plains Froglet was detected. Axes are in UTM........................................................................13<br />
Figure 9: Estimates <strong>of</strong> detection probability <strong>and</strong> occupancy for each species conditional on<br />
covariate values. Solid circle represents median occupancy or detectability <strong>and</strong> lines<br />
indicate 95% credible intervals...........................................................................................................14<br />
Figure 10: Posterior means (solid circle) <strong>and</strong> their 95% credible intervals <strong>of</strong> the model<br />
parameters explaining the relationship between expected occupancy <strong>of</strong> each species<br />
<strong>and</strong> region (Kerang or Mildura), percentage aquatic vegetation cover, <strong>and</strong> conductivity.<br />
A vertical line has been included to show distributions relative to zero. ............................15<br />
Figure 11: Changes in expected occupancy <strong>of</strong> the <strong>Growling</strong> Grass Frog (top) <strong>and</strong> the Barking<br />
Marsh Frog (bottom) with percentage aquatic vegetation cover. Conductivity was held<br />
constant at a mean value. Solid line indicates posterior median <strong>and</strong> dashed lines 95%<br />
credible intervals....................................................................................................................................16<br />
Figure 12: Changes in expected occupancy <strong>of</strong> each species with wetl<strong>and</strong> conductivity, while<br />
holding percentage aquatic vegetation at a mean value. Solid line indicates posterior<br />
median <strong>and</strong> dashed lines 95% credible intervals. Dashed red vertical lines indicate 8%<br />
seawater. ...................................................................................................................................................17<br />
Figure 13: Changes in predicted species number with wetl<strong>and</strong> conductivity, while holding<br />
percentage aquatic vegetation at a mean level. The solid line indicates the posterior<br />
median expected number <strong>of</strong> species. Dashed lines are 95% credible intervals on the<br />
inferred relationship. Dashed red vertical line indicates 8% seawater. .................................18<br />
ii
Acknowledgements<br />
This project was funded by the National Heritage Trust <strong>and</strong> the <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong><br />
<strong>and</strong> Environment, Biodiversity Group North West Region. We especially thank Peter Johnson,<br />
Derek Turnbull, Keely Ough, Michele Kohout, Shar Ramamurthy <strong>and</strong> Nick Clemann for their<br />
contributions to the project.<br />
iii
Summary<br />
An intensive survey <strong>of</strong> amphibians in the Kerang <strong>and</strong> Mildura regions during late spring <strong>and</strong><br />
summer <strong>of</strong> 2006/2007 resulted in the detection <strong>of</strong> seven species. The distribution <strong>of</strong> the<br />
focal species, the <strong>Growling</strong> Grass Frog, varied amongst regions. In the Kerang area, we only<br />
detected the species in irrigation channels <strong>and</strong> farm dams. In the Mildura area, the <strong>Growling</strong><br />
Grass Frog was only detected in wetl<strong>and</strong>s that had received environmental flows , located<br />
within the Mulcra Isl<strong>and</strong> State Forrest. In contrast to the other <strong>frog</strong> species, the <strong>Growling</strong><br />
Grass Frog had a low rate <strong>of</strong> occupancy, <strong>and</strong> occupied sites tended to be close to each other,<br />
indicating a restricted, clustered distribution within the study regions. This observation is<br />
important from a management perspective as it suggests that habitat creation, conservation,<br />
<strong>and</strong>/or restoration should focus on areas where the <strong>frog</strong>s are known to occur <strong>and</strong> perhaps<br />
be designed to make habitat links between known sites where possible.<br />
We surveyed sites on a maximum <strong>of</strong> three occasions each, <strong>and</strong> found varying detection<br />
probabilities among the species encountered. Due to imperfect probabilities <strong>of</strong> detection,<br />
effective monitoring <strong>of</strong> even the most detectable species will require repeated surveys<br />
during appropriate times to assign likelihoods <strong>of</strong> presence when the species is not detected,<br />
<strong>and</strong> to provide valid inferences regarding the relationships between habitat attributes <strong>and</strong><br />
probability <strong>of</strong> occupancy.<br />
Occurrences <strong>of</strong> the <strong>Growling</strong> Grass Frog <strong>and</strong> the Barking Marsh Frog were positively<br />
associated with the extent <strong>of</strong> aquatic vegetation (emergent <strong>and</strong>/or submerged).<br />
Supplementation <strong>of</strong> aquatic vegetation may be an effective management action for habitat<br />
restoration <strong>and</strong> enhancement for these species. For each individual species <strong>and</strong> for the<br />
overall number <strong>of</strong> species present, we found a low likelihood <strong>of</strong> occupancy when water<br />
conductivities were greater than 4000 EC (equivalent to approximately 8% seawater). We did<br />
not detect a strong relationship between salinity <strong>and</strong> occupancy for the <strong>Growling</strong> Grass<br />
Frog, probably due to high uncertainties associated with the low occupancy rate <strong>of</strong> this<br />
species <strong>and</strong> spatially restricted distributions. Collection <strong>of</strong> further distribution data will<br />
reduce uncertainty regarding the salinity tolerance <strong>of</strong> this species, <strong>and</strong> provide better<br />
resolution for that relationship. However, we would expect that the salinity tolerance <strong>of</strong> this<br />
species would not be much higher than that <strong>of</strong> the other <strong>frog</strong> species considered in the<br />
study.<br />
The <strong>frog</strong> species present in the study regions made use <strong>of</strong> a variety <strong>of</strong> freshwater habitats<br />
ranging from still sections <strong>of</strong> creeks through to farm dams. In the Kerang region, irrigation<br />
channels were commonly utilised, highlighting the potential importance <strong>of</strong> these water<br />
bodies as refuge habitat during times <strong>of</strong> drought. We encourage continued efforts to engage<br />
community support <strong>and</strong> training for <strong>frog</strong> conservation efforts in the region, as much <strong>of</strong> the<br />
extant amphibian diversity <strong>and</strong> habitat in the study regions occurs on private property, <strong>and</strong><br />
will require the cooperation <strong>of</strong> l<strong>and</strong>holders. Adaptive management <strong>of</strong> habitat, as part <strong>of</strong> an<br />
experimental program <strong>of</strong> habitat alteration <strong>and</strong> enhancement may provide a mechanism for<br />
managing habitats for the persistence <strong>of</strong> <strong>frog</strong> populations, whilst providing necessary<br />
information to ensure that management activities are <strong>of</strong> maximal effectiveness.<br />
.<br />
iv
The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
1 Introduction<br />
The <strong>frog</strong> fauna <strong>of</strong> Victoria vary considerably in their conservation status, ranging<br />
from widespread, secure species (e.g., Common Froglet Crinia signifera) through to<br />
geographically restricted, critically endangered taxa ( e.g., Spotted Tree Frog Litoria<br />
spenceri, <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment 2003). Knowledge gaps exist<br />
for even well-studied species, <strong>and</strong> typically we have limited underst<strong>and</strong>ing <strong>of</strong> the<br />
current distribution <strong>and</strong> abundance <strong>of</strong> most <strong>frog</strong> species within the state. It is<br />
reasonable to expect that populations will experience a range <strong>of</strong> demographic<br />
responses to environmental stimuli that include both natural events (e.g., drought)<br />
<strong>and</strong> human-induced threats like climate change, introduced pathogens, habitat<br />
modification, <strong>and</strong> introduced predators (Alford <strong>and</strong> Richards 1999). Monitoring <strong>of</strong><br />
the <strong>frog</strong> fauna, allows declining populations to be detected <strong>and</strong> persisting or<br />
recolonising populations to be identified.<br />
There are a number <strong>of</strong> threatening processes currently acting upon Victoria’s <strong>frog</strong><br />
fauna, including climate change, drought, introduced pathogens, <strong>and</strong> habitat<br />
modification (e.g., Alford <strong>and</strong> Richards 1999). Drier climates are predicted for parts<br />
<strong>of</strong> Victoria (National Resource Management Ministerial Council 2004) which, together<br />
with various forms <strong>of</strong> habitat modification <strong>and</strong> degradation, may pose a threat to the<br />
persistence <strong>of</strong> components <strong>of</strong> the <strong>frog</strong> fauna in many areas. Processes like secondary<br />
salinisation lead to degradation <strong>of</strong> habitat (Smith et al. 2007), <strong>and</strong> additional natural<br />
<strong>and</strong> anthropogenic processes, like drought <strong>and</strong> wetl<strong>and</strong> draining, can place further<br />
stresses upon remaining habitat (e.g., Beebee <strong>and</strong> Griffiths 2005). In many <strong>of</strong><br />
Victoria’s modified environments, large areas <strong>of</strong> freshwater habitat are available in<br />
irrigation channels <strong>and</strong> farm dams <strong>and</strong> these waterways may be an important source<br />
<strong>of</strong> fresh surface water during periods <strong>of</strong> drought. Underst<strong>and</strong>ing how the <strong>frog</strong> fauna<br />
utilises a range <strong>of</strong> different habitat types <strong>and</strong> assessing their response to various<br />
habitat gradients (e.g., changes in water chemistry <strong>and</strong> vegetation) will be critical for<br />
management <strong>of</strong> habitat.<br />
The concept <strong>of</strong> the “best 50% <strong>of</strong> habitat” has emerged as a process for determining<br />
the conservation significance <strong>of</strong> habitat for Victoria’s flora <strong>and</strong> fauna (<strong>Department</strong> <strong>of</strong><br />
Natural Resources <strong>and</strong> Environment 2002; <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong><br />
Environment 2007). There are a number <strong>of</strong> difficulties in applying this concept to<br />
amphibians, foremost being a limited capacity to determine two important criteria;<br />
relevant vegetation condition with respect to the target species <strong>and</strong> the average<br />
vegetation condition <strong>of</strong> each Ecological Vegetation Class (EVC). The <strong>Department</strong> <strong>of</strong><br />
<strong>Sustainability</strong> <strong>and</strong> Environment is developing a condition assessment map, but this<br />
will have limited applicability for most amphibian species as non-native vegetation is<br />
given a condition score <strong>of</strong> zero; many amphibians readily utilise highly modified<br />
habitats in rural settings. Further, applying the best 50% habitat concept requires an<br />
underst<strong>and</strong>ing <strong>of</strong> the metapopulation structure <strong>of</strong> the target species at local <strong>and</strong><br />
regional scales <strong>and</strong> an ability to discriminate between the importance <strong>of</strong> different<br />
populations. These data are rarely available for <strong>frog</strong>s. Finally, <strong>frog</strong>s are almost<br />
always surveyed during their breeding phase <strong>and</strong> consequently, there is virtually no<br />
knowledge <strong>of</strong> their habitat requirements during non-breeding phases. We therefore<br />
are not in a position to apply the best 50% habitat concept in its current form to<br />
<strong>frog</strong>s species in the study area. However, we do make note <strong>of</strong> the bioregions <strong>and</strong><br />
Arthur Rylah Institute for Environmental Research Technical Report Series No. 171<br />
1
The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
EVCs that the focal species <strong>of</strong> this study, the <strong>Growling</strong> Grass Frog, was detected in<br />
for future reference.<br />
The study is centred on the Kerang <strong>and</strong> Mildura regions (Figure 1) <strong>and</strong> focuses on<br />
the late spring-summer breeding <strong>and</strong> threatened <strong>Growling</strong> Grass Frog (Litoria<br />
raniformis). We also opportunistically surveyed for other late spring-summer<br />
breeding <strong>frog</strong> species (Table 1).<br />
The <strong>Growling</strong> Grass Frog is a member <strong>of</strong> the Bell Frog species group (Thomson et al.<br />
1996) that historically, was known to occur throughout substantial areas <strong>of</strong> south<br />
eastern Australia. In Victoria the species was formerly widespread <strong>and</strong> common<br />
(Figure 1), but in recent decades range contractions have been observed (Clemann<br />
<strong>and</strong> Gillespie In prep.). The <strong>Growling</strong> Grass Frog is <strong>of</strong>ten associated with aquatic<br />
habitats that feature large areas <strong>of</strong> vegetation within <strong>and</strong> around the water body. The<br />
<strong>Growling</strong> Grass Frog is usually associated with still or slow flowing water bodies <strong>and</strong><br />
has the capacity to inhabit disturbed areas that include artificial water bodies (e.g.,<br />
farm dams <strong>and</strong> irrigation channels). Larval period can vary dramatically, from as<br />
short as a few months to as long as fifteen months. With the exception <strong>of</strong> the<br />
Barking Marsh Frog (Limnodynastes fletcheri), the other species that are thought to<br />
breed in the area during the survey period are not currently <strong>of</strong> conservation concern<br />
(Table 1).<br />
Figure 1: Map showing the historical records for the <strong>Growling</strong> Grass Frog in<br />
Victoria <strong>and</strong> the two study areas, Kerang region (right) <strong>and</strong> the Mildura region<br />
(left).<br />
Arthur Rylah Institute for Environmental Research Technical Report Series No. 171<br />
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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
1.1 Objectives<br />
The main objective <strong>of</strong> this study was to provide the <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong><br />
Environment Biodiversity Group North West Region with distribution <strong>and</strong> habitat<br />
information for the Threatened <strong>Growling</strong> Grass Frog <strong>and</strong> for other late-spring <strong>and</strong><br />
summer breeding species that are known to occur (or are likely to occur) within the<br />
Kerang <strong>and</strong> Mildura regions (Table 1). The study aimed to improve our<br />
underst<strong>and</strong>ing <strong>of</strong> habitat requirements for these species <strong>and</strong> to develop sampling<br />
protocols for more future <strong>frog</strong> surveys in the region.<br />
Table 1: General description <strong>and</strong> conservation status <strong>of</strong> species expected to breed<br />
in the study regions from late spring <strong>and</strong> summer. Conservation status for secure<br />
species is based upon a classification by the <strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong><br />
Environment (<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment 2003).<br />
Common name Species Family Conservation<br />
status<br />
Common Froglet Crinia signifera Myobatrachidae secure<br />
Plains Froglet Crinia parinsignifera Myobatrachidae Secure<br />
Barking Marsh Frog Limnodynastes fletcheri Myobatrachidae Data deficient<br />
Pobblebonk Limnodynastes dumerilii Myobatrachidae Secure<br />
Spotted Marsh Frog Limnodynates<br />
tasmaniensis<br />
Myobatrachidae Secure<br />
Common Spadefoot Neobatrachus sudelli Myobatrachidae Secure<br />
Toad<br />
Peron’s Tree Frog Litoria peronii Hylidae Secure<br />
<strong>Growling</strong> Grass Frog Litoria raniformis Hylidae Endangered<br />
(EPBC:Vulnerab<br />
le <strong>and</strong> listed in<br />
FFG)<br />
Peron’s Tree Frog (Litoria peronii)<br />
Arthur Rylah Institute for Environmental Research Technical Report Series No. 171<br />
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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
2 Methods<br />
2.1 General Design<br />
The study was conducted in the Kerang <strong>and</strong> Mildura regions <strong>of</strong> Victoria (Figure 2) in<br />
areas where the <strong>Growling</strong> Grass Frog has been recorded. In the Kerang region, roads<br />
within the historical distribution <strong>of</strong> the <strong>Growling</strong> Grass Frog were haphazardly<br />
selected <strong>and</strong> driven during the day. Groups <strong>of</strong> potential sites (wetl<strong>and</strong>s, dams, lakes,<br />
<strong>and</strong> still sections <strong>of</strong> streams <strong>and</strong> irrigation channels) were identified <strong>and</strong> their<br />
locations recorded with a Global Positioning System (GPS) receiver. The sites were<br />
then surveyed for the presence <strong>of</strong> <strong>frog</strong>s at night. Heard et al. (2006) found that<br />
multiple night-time surveys were necessary to ensure an adequate probability <strong>of</strong><br />
detection for adults <strong>of</strong> the <strong>Growling</strong> Grass Frog, <strong>and</strong> accordingly, we conducted<br />
repeated nocturnal surveys for <strong>frog</strong> calls. Sites were surveyed in October, November<br />
<strong>and</strong> December. Some sites were not sampled on all three occasions (mean number <strong>of</strong><br />
surveys = 2) due to factors like drying <strong>of</strong> some water bodies. A similar sampling<br />
process was followed in the Mildura region, but the sites were sampled twice each<br />
<strong>and</strong> the entire sampling was completed within one week in December 2006. We<br />
surveyed 61 sites in Kerang <strong>and</strong> 16 in Mildura. In the Kerang region, we also<br />
opportunistically surveyed a further 50 sites (hereafter referred to as extra sites), but<br />
no chemical or physical measures <strong>of</strong> habitat were made at these sites (see below) due<br />
to access difficulties.<br />
At each site, for each survey, we listened for 10 minutes (cf. Scott <strong>and</strong> Woodward<br />
1994) <strong>and</strong> documented all calling <strong>frog</strong> species. In most <strong>of</strong> the study sites (n = 77), we<br />
measured water conductivity (EC: μS/cm@25°C) using a TPS 90FL multi-parameter<br />
meter. Electrical conductivity was used as a proxy for salinity, <strong>and</strong> measurements<br />
were made within 15 cm <strong>of</strong> the water surface. This is an important measure, as<br />
secondary salinisation is an on-going issue in both regions (Walker <strong>and</strong> Salt 2006),<br />
<strong>and</strong> high salinities are known to be detrimental to many <strong>frog</strong> species (Smith et al.<br />
2007). At most sites (n = 61) we estimated the extent <strong>of</strong> aquatic vegetation (emergent<br />
<strong>and</strong> submerged) by approximating the proportion <strong>of</strong> the water body that contained<br />
aquatic plants, which are considered to be important habitat feature for the <strong>Growling</strong><br />
Grass Frog <strong>and</strong> for other species (Heard pers. com). Where the site was linear in<br />
nature (e.g., a section <strong>of</strong> a stream or irrigation channel), we estimated the extent <strong>of</strong><br />
aquatic vegetation along a 100 metre section centred on the survey point. A sample<br />
data sheet is included in Appendix 1.<br />
The Barking Marsh Frog (Limnodynastes fletcheri).<br />
Arthur Rylah Institute for Environmental Research Technical Report Series No. 171<br />
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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
Figure 2: Distribution <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions. Sites<br />
where both physical <strong>and</strong> chemical measurements were made are indicated. Axes<br />
markers are UTM.<br />
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2.2 Statistical Analyses<br />
As it could not be assumed that each species actually present at a site would<br />
definitely be detected on each visit, it was necessary to account for imperfect<br />
detectability in the statistical analysis <strong>of</strong> the data. We used the approach to<br />
estimation <strong>of</strong> occupancy rates under imperfect detection devised by MacKenzie et al.<br />
(2006). In simple terms, this approach treats the sites under consideration as being<br />
drawn from two discrete categories: occupied sites, where on each visit the species<br />
will be detected with an unknown probability, p, <strong>and</strong> unoccupied sites where the<br />
species will not be detected as it is absent. By carrying out repeated surveys at some<br />
or all sample <strong>of</strong> sites, it is possible to make statistical inferences regarding the actual<br />
rate <strong>of</strong> occupancy, allowing for the fact that the species in question may not have<br />
been detected at some sites which are actually occupied. The full statistical theory <strong>of</strong><br />
this methodology is beyond the scope <strong>of</strong> this report – details <strong>of</strong> the motivation <strong>and</strong><br />
derivation <strong>of</strong> the methods can be found in MacKenzie et al. (2006). In simple terms it<br />
can be appreciated that if detection <strong>of</strong> the species at a single survey was certain,<br />
then over the course <strong>of</strong> a set <strong>of</strong> repeated surveys, sites would either always record<br />
detections (in the case <strong>of</strong> occupied sites) or always record absences (unoccupied<br />
sites). However, if the probability <strong>of</strong> detection is less than one, then it would be<br />
expected that a mixture <strong>of</strong> detections <strong>and</strong> non-detections would be recorded during<br />
the course <strong>of</strong> a set <strong>of</strong> surveys at an occupied site. Using Bayesian statistical<br />
techniques, it is possible to use a statistical model for the processes <strong>of</strong> occupancy<br />
<strong>and</strong> detection to make inferences from repeated survey data regarding the<br />
underlying rate <strong>of</strong> occupancy, as well as the probability <strong>of</strong> detection at occupied<br />
sites.<br />
The basic form <strong>of</strong> the occupancy model, where all sites have a common probability<br />
<strong>of</strong> occupancy, <strong>and</strong> all surveys have a common probability <strong>of</strong> detecting the species at<br />
occupied sites, can be readily extended to allow for the effects <strong>of</strong> covariates on either<br />
the occupancy or detection probabilities associated with sites <strong>and</strong> surveys. This is<br />
typically done through the use <strong>of</strong> logistic regression equations within the statistical<br />
model, which relate the probabilities <strong>of</strong> occupancy or detection to the covariates<br />
values. In the present case, we related the probabilities <strong>of</strong> occupancy <strong>of</strong> the various<br />
<strong>frog</strong> species to habitat variables measured at the sites, including conductivity <strong>and</strong><br />
cover <strong>of</strong> aquatic vegetation. We included up to three predictor terms in each model<br />
as the moderate number <strong>of</strong> sites (77) from which we sampled, precluded the fitting<br />
<strong>of</strong> more complex models to the data (see Burnham <strong>and</strong> Anderson 2002).<br />
We used Bayesian Markov Chain Monte Carlo (MCMC) statistical techniques to fit the<br />
models to the data using the freely-available Bayesian statistics package OpenBugs<br />
2.2.0 (Thomas et al. 2006). Use <strong>of</strong> a Bayesian formulation <strong>of</strong> the model had several<br />
advantages in this case; in particular, it was possible to consistently deal with<br />
missing covariate values from several sites, by inferring these values from the data<br />
as a part <strong>of</strong> the estimation procedure. In addition, Bayesian methods allowed the<br />
straightforward generation <strong>of</strong> model predictions <strong>and</strong> related parameters with correct<br />
propagation <strong>of</strong> uncertainty in the model parameters (see below for further details).<br />
Vague (uninformative) priors were used for all model parameters, including missing<br />
predictor values, leading to inferences that would be expected to match the results<br />
which would be obtained using conventional maximum likelihood inferences. The<br />
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covariates were centred on their means prior to analysis to aid convergence <strong>of</strong> the<br />
algorithm used to fit the model to the data. Convergence <strong>of</strong> the MCMC algorithm was<br />
checked by examining the output <strong>of</strong> three replicate Markov chains with differing<br />
starting values, both by visual inspection <strong>of</strong> the outputs <strong>and</strong> by computing the<br />
Brooks-Gelman-Rubin convergence statistic (Brooks <strong>and</strong> Gelman 1998). Convergence<br />
was rapid <strong>and</strong> final inferences were made by discarding the first 10000 iterations<br />
from a single chain <strong>and</strong> retaining the next 90000 iterations for further inference.<br />
Inferences regarding derived quantities, which are functions <strong>of</strong> model parameters,<br />
were readily estimated from the data by generating large samples from their<br />
sampling distributions using MCMC methods. This technique allowed us to correctly<br />
propagate uncertainty in the model’s parameters into our inferences regarding the<br />
derived quantities. Using this approach, we inferred the probabilities <strong>of</strong> individual<br />
species occupancy <strong>and</strong> the likely total number <strong>of</strong> species that would be expected to<br />
occur under representative sets <strong>of</strong> covariate values for each important predictor<br />
variable (cf. Smith et al. 2007).<br />
3 Results<br />
3.1 Occupancy <strong>and</strong> Detectability<br />
A range <strong>of</strong> different water bodies were surveyed that included still or slow moving<br />
sections <strong>of</strong> streams (n=17), natural but modified wetl<strong>and</strong>s (n=6), large lakes (n=10),<br />
irrigation channels (n=31), farm dams (n=2) <strong>and</strong> ox-bow lakes (n=11). Interestingly,<br />
no <strong>frog</strong> species were actually heard calling in the Murray River, but instead they were<br />
utilising habitats near to the River, such as oxbow lakes, irrigation channels <strong>and</strong><br />
smaller creeks <strong>and</strong> streams. We detected seven species during the study (Figures 3<br />
to 8), whose rates <strong>of</strong> occupancy <strong>and</strong> probabilities <strong>of</strong> detection varied considerably<br />
(Figure 9). With the exception <strong>of</strong> the <strong>Growling</strong> Grass Frog, all species were commonly<br />
detected in all water body types which were surveyed (Table 2). We did not detect<br />
the <strong>Growling</strong> Grass Frog in lake <strong>and</strong> stream habitats.<br />
Table 2: The number <strong>of</strong> sites in each water body category that <strong>frog</strong> species were<br />
detected in.<br />
Species Dam Irrig. Chan. Lake Ox. Lake Stream Wet. Total<br />
<strong>Growling</strong> Grass Frog 1 11 0 5 0 0 17<br />
Peron’s Tree Frog 0 10 5 7 8 4 34<br />
Common Froglet 0 9 5 11 6 5 36<br />
Plains Froglet 1 20 1 7 6 3 38<br />
Barking Marsh Frog 1 18 5 6 8 5 43<br />
Spotted Marsh Frog 1 19 3 4 3 4 34<br />
Not only was the <strong>Growling</strong> Grass Frog not detected in many sites (≈40%; Figure 9),<br />
but the sites where they were detected tended to be geographically close to each<br />
other (Figure 3). We did not detect Pobblebonks at any <strong>of</strong> the main study sites <strong>and</strong> in<br />
only three <strong>of</strong> the extra sites. The study period probably did not encompass optimal<br />
breeding conditions for this species, <strong>and</strong> accordingly we removed this species from<br />
further analyses. The other five species were quite common <strong>and</strong> widely detected<br />
throughout the study region when compared to the <strong>Growling</strong> Grass Frog.<br />
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Figure 3: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including<br />
those where the <strong>Growling</strong> Grass Frog was detected. Axes are in UTM.<br />
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Figure 4: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including<br />
those where Peron’s Tree Frogs were detected. Axes are in UTM.<br />
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Figure 5: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including<br />
those where the Barking Marsh Frog was detected. Axes are in UTM.<br />
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Figure 6: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including<br />
those where the Spotted Marsh Frog was detected. Axes are in UTM.<br />
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Figure 7: Location <strong>of</strong> study sites in the Kerang region, including those where<br />
Pobblebonk Frogs (Top) <strong>and</strong> the Common Froglet (Bottom) were detected. Axes<br />
are in UTM.<br />
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Figure 8: Location <strong>of</strong> study sites in the Kerang <strong>and</strong> Mildura regions, including<br />
those where the Plains Froglet was detected. Axes are in UTM.<br />
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Figure 9: Estimates <strong>of</strong> detection probability <strong>and</strong> occupancy for each species<br />
conditional on covariate values. Solid circle represents median occupancy or<br />
detectability <strong>and</strong> lines indicate 95% credible intervals.<br />
The Common Froglet (Crinia signifera).<br />
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3.2 Habitat Requirements<br />
The <strong>Growling</strong> Grass Frog was recorded in two bioregions, Murray Scroll Belt (Kerang)<br />
<strong>and</strong> Murray Fans (Mildura). In the Kerang region, the populations were all found<br />
within habitat classified as EVC 99; Non Vegetation. This is an EVC that does not fit<br />
into any recognised category <strong>of</strong> native vegetation. Accordingly, Victoria’s Native<br />
Vegetation Management Framework, <strong>and</strong> other related conservation plans (e.g.,<br />
<strong>Department</strong> <strong>of</strong> Natural Resources <strong>and</strong> Environment 2002; <strong>Department</strong> <strong>of</strong><br />
<strong>Sustainability</strong> <strong>and</strong> Environment 2007) <strong>and</strong> proscriptions do not apply to these<br />
habitats. However, these habitats appear to be critically important for the<br />
persistence <strong>of</strong> the <strong>Growling</strong> Grass Frog in the study region.<br />
In the Mildura region the <strong>Growling</strong> Grass Frog populations were detected in<br />
Intermittent Swampy Habitat (EVC: 813), Lignum Shrubl<strong>and</strong> (EVC: 808), Lignum<br />
Swampy Woodl<strong>and</strong> (EVC: 823), Lignum Swamp (EVC: 104) <strong>and</strong> Shrubby Riverine<br />
Woodl<strong>and</strong> (EVC: 818). Only the Lignum Swamp is considered to be Vulnerable, while<br />
Intermittent Swampy Habitat <strong>and</strong> Lignum Swampy Woodl<strong>and</strong> are classified as<br />
Depleted.<br />
Occupancy by the <strong>Growling</strong> Grass Frog <strong>and</strong> the Barking Marsh Frog were both<br />
positively correlated with the percentage aquatic vegetation cover (Figure 10). Both<br />
these species were more likely to be present in habitat with higher levels <strong>of</strong> aquatic<br />
plant cover (Figure 11). With the exception <strong>of</strong> the Common Froglet, all other species<br />
had a positive, albeit weak, relationship with aquatic vegetation.<br />
Figure 10: Posterior means (solid circle) <strong>and</strong> their 95% credible intervals <strong>of</strong> the<br />
model parameters explaining the relationship between expected occupancy <strong>of</strong><br />
each species <strong>and</strong> region (Kerang or Mildura), percentage aquatic vegetation cover,<br />
<strong>and</strong> conductivity. A vertical line has been included to show distributions relative<br />
to zero.<br />
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Figure 11: Changes in expected occupancy <strong>of</strong> the <strong>Growling</strong> Grass Frog (top) <strong>and</strong><br />
the Barking Marsh Frog (bottom) with percentage aquatic vegetation cover.<br />
Conductivity was held constant at a mean value. Solid line indicates posterior<br />
median <strong>and</strong> dashed lines 95% credible intervals.<br />
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Figure 12: Changes in expected occupancy <strong>of</strong> each species with wetl<strong>and</strong><br />
conductivity, while holding percentage aquatic vegetation at a mean value. Solid<br />
line indicates posterior median <strong>and</strong> dashed lines 95% credible intervals. Dashed<br />
red vertical lines indicate 8% seawater.<br />
With the exception <strong>of</strong> the <strong>Growling</strong> Grass Frog, all species had strongly negative<br />
relationships with wetl<strong>and</strong> salinity (Figure 10 <strong>and</strong> Figure 12) <strong>and</strong> consistent with<br />
that observation, the overall species number was predicted to decline strongly with<br />
increasing salinity (Figure 13). None <strong>of</strong> the study species were likely to inhabit water<br />
bodies with salinities in excess <strong>of</strong> approximately 8% seawater or about 4000 EC. The<br />
poor predictive power <strong>of</strong> conductivity for <strong>Growling</strong> Grass Frogs probably relates to<br />
their low rates <strong>of</strong> occupancy in the study area, <strong>and</strong> their restricted spatial<br />
distributions. Collection <strong>of</strong> additional data would improve the precision <strong>of</strong> our<br />
underst<strong>and</strong>ing <strong>of</strong> the relationship between salinity <strong>and</strong> the probability <strong>of</strong> occupancy<br />
for this species.<br />
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Figure 13: Changes in predicted species number with wetl<strong>and</strong> conductivity, while holding<br />
percentage aquatic vegetation at a mean level. The solid line indicates the posterior<br />
median expected number <strong>of</strong> species. Dashed lines are 95% credible intervals on the<br />
inferred relationship. Dashed red vertical line indicates 8% seawater.<br />
Example <strong>of</strong> oxbow lake habitat that supports calling <strong>Growling</strong> Grass Frog<br />
populations<br />
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4 Discussion<br />
The <strong>Growling</strong> Grass Frog <strong>and</strong> the other late-spring <strong>and</strong> summer breeding <strong>frog</strong> fauna <strong>of</strong><br />
the Kerang <strong>and</strong> Mildura regions were surveyed to provide habitat information to support<br />
management <strong>of</strong> <strong>frog</strong> habitat within the region. Including the <strong>Growling</strong> Grass Frog, we<br />
detected seven species, two Hylids <strong>and</strong> five Myobatrachids. In comparison to the other<br />
species, the <strong>Growling</strong> Grass Frog was restricted to a few sites within a comparatively<br />
small geographic area <strong>and</strong>, in the Kerang region, was mostly found in irrigation channels<br />
<strong>and</strong> farm dams. In the Mildura region, the <strong>Growling</strong> Grass Frog was only detected in<br />
oxbow lakes <strong>and</strong> related habitats that had been allocated environmental water. A<br />
previous survey in the Kerang region by Scroggie <strong>and</strong> Clemann (2003) detected the<br />
<strong>Growling</strong> Grass Frog in areas that were also surveyed during the present study, but no<br />
<strong>Growling</strong> Grass Frogs were recorded at these sites during this survey. This result<br />
highlights the notion that <strong>Growling</strong> Grass Frog populations will vary in their location<br />
over successive breeding seasons, possibly as a consequence <strong>of</strong> variation in seasonal<br />
conditions. For the management <strong>of</strong> this species, a clear underst<strong>and</strong>ing <strong>of</strong> the spatial <strong>and</strong><br />
temporal dynamics <strong>of</strong> habitat use are essential as populations <strong>of</strong> the <strong>Growling</strong> Grass<br />
Frog typically exists within a spatial mosaic <strong>of</strong> habitats where particular habitat patches<br />
may be used at different times according to environmental conditions <strong>and</strong> stochastic<br />
colonisation <strong>and</strong> extinction events.<br />
Our analysis shows a negative relationship between amphibian richness <strong>and</strong> water<br />
conductivity (salinity). This finding is consistent with laboratory <strong>and</strong> field studies <strong>of</strong> a<br />
number <strong>of</strong> other <strong>frog</strong> species which have demonstrated a limited tolerance to salinity<br />
(e.g., Christy <strong>and</strong> Dickman 2002; Smith et al. 2007). In contrast to our findings, Harley<br />
(2006) detected <strong>Growling</strong> Grass Frogs <strong>and</strong> some tadpoles, probably Brown Tree Frog (L.<br />
ewingii), at a wetl<strong>and</strong> with water salinity <strong>of</strong> around 20% seawater, which is higher than<br />
previously recorded for any Australian species. Clearly, more work is needed to gain a<br />
precise underst<strong>and</strong>ing <strong>of</strong> the salinity tolerance <strong>of</strong> the <strong>Growling</strong> Grass Frog. Nonetheless,<br />
our results suggest that management <strong>of</strong> salinities in <strong>frog</strong> habitat areas to less than 8% <strong>of</strong><br />
seawater levels are desirable for the conservation <strong>of</strong> the <strong>Growling</strong> Grass Frog, <strong>and</strong> for the<br />
persistence <strong>of</strong> other amphibian species.<br />
Aquatic vegetation has previously been reported as important for a variety <strong>of</strong> <strong>frog</strong><br />
species (Jansen <strong>and</strong> Healey 2003) <strong>and</strong> has been associated with the <strong>Growling</strong> Grass Frog<br />
in particular. We found that two species, the <strong>Growling</strong> Grass Frog <strong>and</strong> the Barking Marsh<br />
Frog, were positively associated with the extent <strong>of</strong> aquatic vegetation, consistent with the<br />
findings <strong>of</strong> previous studies <strong>of</strong> this species (for a review, see Clemann <strong>and</strong> Gillespie In<br />
prep.). We do note, however, that apparently large <strong>and</strong> healthy populations <strong>of</strong> both<br />
species were detected in several water bodies that had little or no aquatic vegetation,<br />
suggesting that these habitat conditions are not essential under some circumstances,<br />
<strong>and</strong> that aquatic vegetation cover may correlate with other, unmeasured, but important<br />
habitat variables. Nonetheless, aquatic vegetation will create structure <strong>and</strong> habitat within<br />
the water body (Keddy 2002) <strong>and</strong> is likely to provide cover <strong>and</strong> refuge from predation.<br />
Aquatic vegetation may also attract insect prey. Accordingly, aquatic vegetation<br />
supplementation is likely to be a positive management action for the <strong>Growling</strong> Grass<br />
Frog, but needs to be better understood as it is possible that intermediate levels <strong>of</strong><br />
vegetation cover may be optimal (Heard pers. comm.). Experimental manipulation <strong>of</strong><br />
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vegetation cover may allow for a better underst<strong>and</strong>ing its relationship with habitat<br />
quality.<br />
From an amphibian community perspective, our study highlights the use <strong>of</strong> a range <strong>of</strong><br />
different habitats by the various species. The Barking Marsh Frog was common in most<br />
habitats, with the number <strong>of</strong> detections generally declining with distance from the<br />
Murray River <strong>and</strong> decreasing percentage <strong>of</strong> aquatic vegetation. With the exception <strong>of</strong> the<br />
Pobblebonk Frog, the other species surveyed during the study were all detected<br />
throughout the various fresh water habitats in the region <strong>and</strong> were all common <strong>and</strong><br />
widespread; suggesting that these species were secure in the study areas at time <strong>of</strong><br />
sampling. For most species we did detect a positive, but weak relationship between<br />
occupancy <strong>and</strong> the extent <strong>of</strong> aquatic vegetation, indicating that this may be an important<br />
factor in general in determining the distribution <strong>of</strong> amphibians in the study regions.<br />
The low rates <strong>of</strong> occupancy for the <strong>Growling</strong> Grass Frog may be a response to a number<br />
<strong>of</strong> environmental issues such as drought <strong>and</strong> habitat availability, but may also be a<br />
feature <strong>of</strong> the species’ life history. For example, research by Ge<strong>of</strong>f Heard (pers. comm.)<br />
indicates that the species is more likely to occupy habitat within 1 km <strong>of</strong> a core<br />
population. If this is the case, then the species would be less likely to be detected more<br />
than 1 km from core populations. We suggest that habitat creation, conservation, <strong>and</strong>/or<br />
restoration may be most likely to be successful if undertaken close to locations where<br />
the <strong>Growling</strong> Grass Frogs are currently present. A reasonable approach may be to link<br />
isolated populations by creating <strong>and</strong>/or restoring habitat between areas <strong>of</strong> known<br />
occupancy. An adaptive management approach (see Schreiber et al. 2004 for a discussion<br />
<strong>of</strong> the merits <strong>and</strong> requirements <strong>of</strong> this approach) may be appropriate if it experimentally<br />
manipulated a range <strong>of</strong> management actions like changing the extent <strong>of</strong> aquatic<br />
vegetation <strong>and</strong> reducing salinity to find optimal levels for the species. Other potential<br />
management actions should be explored such as removal <strong>of</strong> exotic fish <strong>and</strong> regulation <strong>of</strong><br />
flooding.<br />
A particularly important finding <strong>of</strong> this project is that the <strong>Growling</strong> Grass Frog <strong>and</strong> the<br />
other study species were commonly detected in irrigation channels <strong>and</strong> farm dams in the<br />
Kerang region. This has clear management implications, as these water bodies are<br />
typically located on private properties, <strong>and</strong> are primarily managed for purposes other<br />
than conservation <strong>of</strong> biodiversity. We suggest that management <strong>of</strong> the <strong>Growling</strong> Grass<br />
Frog will require continued community support in addition to a detailed underst<strong>and</strong>ing<br />
<strong>of</strong> the specific attributes <strong>of</strong> these water bodies that are important to the species. Because<br />
the majority <strong>of</strong> <strong>Growling</strong> Grass Frog records in the Kerang region were in irrigation<br />
channels, it is likely that there are particular factors that determine the suitability <strong>of</strong><br />
these habitats for breeding, such as the extent <strong>of</strong> aquatic vegetation cover. Other habitat<br />
attributes are also likely be important <strong>and</strong> may relate to the current dry conditions. In a<br />
period <strong>of</strong> drought <strong>and</strong> climate change, these <strong>of</strong> water bodies may provide critical refuge<br />
habitat (cf. Semlitsch <strong>and</strong> Bodie 1998).<br />
The survey technique that we used proved to be particularly effective as demonstrated<br />
by the moderate to high detection probabilities for most species. Accordingly, we<br />
confirm a monitoring protocol that can be employed over larger areas. Of critical<br />
importance is repeat surveying the sites over the breeding period, even if the species is<br />
recorded on several previous visits. This allows a probability <strong>of</strong> presence to be assigned<br />
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to a “no detection” site. We typically managed to survey between ten <strong>and</strong> fifteen sites per<br />
night, <strong>and</strong> little equipment was needed beyond an ability to identify the advertisement<br />
calls <strong>of</strong> different species. However, continued collection <strong>of</strong> water chemistry<br />
measurements would help to better determine thresholds for factors like conductivity, if<br />
they exist, but does require specialised equipment. With more sampling sites, other<br />
environmental variables (e.g., turbidity, pH, water permanence, presence <strong>of</strong> fish) could be<br />
incorporated into the statistical models, helping to refine our underst<strong>and</strong>ing <strong>of</strong> the<br />
environmental requirements <strong>of</strong> the species. This has clear management benefits as the<br />
quality <strong>of</strong> habitat creation <strong>and</strong> restoration efforts will benefit from improved knowledge<br />
<strong>of</strong> habitat requirements. Inclusion <strong>of</strong> l<strong>and</strong>scape scale variables (e.g., inter-connectivity <strong>of</strong><br />
water bodies) in updated models may also be valuable.<br />
We only collected presence/absence data. Abundance data is <strong>of</strong>ten seen as a preferred<br />
value that, if collected properly, could provide better information. However, meaningful<br />
abundance estimates are extremely difficult to obtain for amphibian populations <strong>and</strong><br />
would require considerable effort in time <strong>and</strong> resources (Anderson 2001). Simply<br />
counting the number <strong>of</strong> individuals that one can find at a site is not a meaningful<br />
estimate <strong>of</strong> abundance <strong>and</strong> such values are <strong>of</strong> extremely limited utility as indices <strong>of</strong><br />
abundance for most wildlife populations (Anderson 2001).<br />
4.1 Recommendations<br />
Based upon the survey data collected during this project, we recommend:<br />
• Where possible, the survey effort for the <strong>Growling</strong> Grass Frog should be include<br />
repeat visits to each site over the breeding season. Depending upon objectives,<br />
simple acoustic surveys (listening for advertisement calls) may provide adequate<br />
distribution <strong>and</strong> occupancy data. However, visual surveys for the <strong>frog</strong> may also<br />
be beneficial, <strong>and</strong> enhance the likelihood <strong>of</strong> detection (Heard et al. 2006). If<br />
possible, salinity <strong>and</strong> other physical data should be recorded for inclusion in<br />
statistical habitat models.<br />
• It is unlikely that <strong>Growling</strong> Grass Frog, or any amphibian species, will inhabit<br />
water bodies with high salinities. Our field data <strong>and</strong> other published work<br />
suggest that amphibian diversity will decrease drastically beyond salinities <strong>of</strong><br />
around 8% seawater (≈ 4000 EC). However, there is limited evidence that some<br />
species may be able to persist under some conditions at up to about 20%<br />
seawater. More information on distribution <strong>and</strong> salinity will help tighten up<br />
credible intervals, particularly for the <strong>Growling</strong> Grass Frog.<br />
• More work is needed to better underst<strong>and</strong> the importance <strong>of</strong> aquatic vegetation.<br />
There is now a growing body <strong>of</strong> evidence that suggests that the <strong>Growling</strong> Grass<br />
Frog prefers vegetated water bodies (also refer to Clemann <strong>and</strong> Gillespie In prep.).<br />
However, large <strong>and</strong> apparently healthy populations <strong>of</strong> <strong>Growling</strong> Grass Frogs do<br />
inhabit water bodies that have little to no aquatic vegetation suggesting that the<br />
presence <strong>of</strong> aquatic vegetation is not always essential for occupancy. Other<br />
characteristics <strong>of</strong> water bodies like water depth <strong>and</strong> seasonality, presence <strong>of</strong><br />
exotic predators (e.g., fish, Werner et al. 2007), in addition to broader l<strong>and</strong>scape<br />
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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
issues (e.g., inter-connectivity <strong>of</strong> water bodies, Drielsma et al. 2007) are also likely<br />
to be important.<br />
• The physical properties <strong>of</strong> irrigation channels <strong>and</strong> farm dams that allow them to<br />
support populations <strong>of</strong> <strong>Growling</strong> Grass Frogs needs to be better understood <strong>and</strong><br />
managed. Irrigation channels may provide important habitat for the <strong>Growling</strong><br />
Grass Frog (<strong>and</strong> amphibian biodiversity in general), <strong>and</strong> if so, must be managed<br />
appropriately. Because the <strong>Growling</strong> Grass Frog was only detected in a small<br />
percentage <strong>of</strong> the irrigation channels surveyed, these channels could be managed<br />
to maximize their capacity to provide habitat for the species. Appropriate<br />
management <strong>of</strong> irrigation channels could have massive on-ground benefits for<br />
the species.<br />
• Habitat construction, conservation <strong>and</strong>/or restoration efforts in the study regions<br />
should focus within areas where the <strong>frog</strong> is known to exist <strong>and</strong>, aim at linking<br />
areas <strong>of</strong> known occupancy where possible. Utilising adaptive management<br />
techniques (Schreiber et al. 2004), where habitats that surround current<br />
populations are managed in an experimental manner, could be positive way to<br />
not only bolster current populations, but to gain critical information for habitat<br />
management. In addition to systematically varying aquatic vegetation <strong>and</strong><br />
salinity, if possible, determining the importance <strong>of</strong> other habitat components,<br />
such as introduced fish, habitat linkages, <strong>and</strong> water seasonality would be a<br />
positive outcome <strong>of</strong> such a project.<br />
• Because much <strong>of</strong> the habitat that is utilised by the <strong>Growling</strong> Grass Frog (<strong>and</strong><br />
other species) is on private property, conservation <strong>of</strong> amphibian diversity is likely<br />
to rely upon appropriate <strong>and</strong> continued public engagement (e.g., brochures, fact<br />
sheets, websites, information sessions) to ensure suitable stewardship <strong>of</strong><br />
important habitats by the community <strong>and</strong> ongoing cooperation between<br />
l<strong>and</strong>holders <strong>and</strong> resource managers.<br />
The Spotted Marsh Frog (Limnodynastes tasmaniensis).<br />
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5 References<br />
Alford, R. A., <strong>and</strong> Richards, S. J. (1999). Global amphibian declines: a problem in applied<br />
ecology. Annual Review <strong>of</strong> Ecology <strong>and</strong> Systematics 30, 133-165.<br />
Anderson, D. R. (2001). The need to get the basics right in wildlife field studies. Wildlife<br />
Society Bulletin 29, 1294-1297.<br />
Beebee, T. J. C., <strong>and</strong> Griffiths, R. A. (2005). The amphibian decline crisis: A watershed for<br />
conservation biology? Biological Conservation 125, 271-285.<br />
Brooks, S. P., <strong>and</strong> Gelman, A. (1998). General methods for monitoring convergence <strong>of</strong><br />
iterative simulations. Journal <strong>of</strong> Computational <strong>and</strong> Graphical Statistics 7, 434-<br />
455.<br />
Burnham, K. P., <strong>and</strong> Anderson, D. R. (2002). 'Model selection <strong>and</strong> multimodel inference'.<br />
(Springer: New York).<br />
Christy, M. T., <strong>and</strong> Dickman, C. R. (2002). Effects <strong>of</strong> salinity on tadpoles <strong>of</strong> the Green <strong>and</strong><br />
Golden Bell Frog (Litoria aurea). Amphibia-Reptilia 23, 1-11.<br />
Clemann, N., <strong>and</strong> Gillespie, G. R. (In prep.). 'Recovery plan for Litoria raniformis 2004 -<br />
2008'. (Arthur Rylah Institute: Melbourne).<br />
<strong>Department</strong> <strong>of</strong> Natural Resources <strong>and</strong> Environment (2002). 'Victoria's native vegetation<br />
management: A framework for action'. (<strong>Department</strong> <strong>of</strong> Natural Resources <strong>and</strong><br />
Environment, Victorian Government: Melbourne).<br />
<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment (2003). 'Advisory list <strong>of</strong> threatened<br />
vertebrate fauna in Victoria'. (<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment:<br />
Melbourne).<br />
<strong>Department</strong> <strong>of</strong> <strong>Sustainability</strong> <strong>and</strong> Environment (2007). 'Native vegetation guide for<br />
assessment <strong>of</strong> referred planning permit applications'. (<strong>Department</strong> <strong>of</strong><br />
<strong>Sustainability</strong> <strong>and</strong> Environment; Victorian Government: Melbourne).<br />
Drielsma, M., Manion, G., <strong>and</strong> Ferrier, S. (2007). The spatial links tool: automated<br />
mapping <strong>of</strong> habitat linkages in variegated l<strong>and</strong>scapes. Ecological modelling 200,<br />
403-411.<br />
Harley, D. (2006). 'An assessment <strong>of</strong> the Southern Bell Frog (Litoria raniformis)<br />
population at Rocky Swamp in the south east <strong>of</strong> South Australia'. (<strong>Department</strong> <strong>of</strong><br />
Environment <strong>and</strong> Heritage: Adelaide).<br />
Heard, G. W., Robertson, P., <strong>and</strong> Scroggie, M. P. (2006). Assessing detection probabilities<br />
for the endangered growling <strong>grass</strong> <strong>frog</strong> (Litoria raniformis) in southern Victoria.<br />
Wildlife Research 33, 557-564.<br />
Jansen, A., <strong>and</strong> Healey, M. (2003). Frog communities <strong>and</strong> wetl<strong>and</strong> condition: relationships<br />
with grazing by domestic livestock along an Australian floodplain river. Biological<br />
Conservation 109, 207-219.<br />
Keddy, P. A. (2002). 'Wetl<strong>and</strong> ecology principles <strong>and</strong> conservation'. (Cambridge University<br />
Press: Cambridge, UK).<br />
MacKenzie, D. I., Nichols, J. D., Royle, J. A., Pollock, K. H., Bailey, L. L., <strong>and</strong> Hines, J. E.<br />
(2006). 'Occupancy estimation <strong>and</strong> modelling, inferring patterns <strong>and</strong> dynamics <strong>of</strong><br />
species occurrence'. (Academic Press: London).<br />
National Resource Management Ministerial Council (2004). 'National biodiversity <strong>and</strong><br />
climate change action plan'. (<strong>Department</strong> <strong>of</strong> Environment <strong>and</strong> Heritage,<br />
Australian Government: Canberra, ACT).<br />
Schreiber, E. S. G., Bearlin, A. R., Nicol, S. J., <strong>and</strong> Todd, C. R. (2004). Adaptive<br />
management: a synthesis <strong>of</strong> current underst<strong>and</strong>ing <strong>and</strong> effective application.<br />
Ecological Management & Restoration 5, 177-182.<br />
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Scott, N. J., <strong>and</strong> Woodward, B. D. (1994). Surveys at breeding sites. In 'Measuring <strong>and</strong><br />
monitoring biological diversity. St<strong>and</strong>ard methods for amphibians' pp 118-125.<br />
(Smithsonian Institution Press: Washington).<br />
Scroggie, M. P., <strong>and</strong> Clemann, N. (2003). 'Habitat assessment <strong>and</strong> ecological requirements<br />
<strong>of</strong> the <strong>Growling</strong> Grass Frog Litoria raniformis in the area <strong>of</strong> proposed drainage<br />
works, Benwell-Koondrook Region'. (Arthur Rylah Institute: Melbourne).<br />
Semlitsch, R. D., <strong>and</strong> Bodie, J. R. (1998). Are small, isolated wetl<strong>and</strong>s expendable?<br />
Conservation Biology 12, 1129-1133.<br />
Smith, M. J., Schreiber, E. S. G., Scroggie, M. P., Kohout, M., Ough, K., Potts, J., Lennie, R.,<br />
Turnbull, D., Jin, C., <strong>and</strong> Clancy, T. I. M. (2007). Associations between anuran<br />
tadpoles <strong>and</strong> salinity in a l<strong>and</strong>scape mosaic <strong>of</strong> wetl<strong>and</strong>s impacted by secondary<br />
salinisation. Freshwater Biology 52, 75-84.<br />
Thomas, A., O'Hara, R., Ligges, U., <strong>and</strong> Sturtz, S. (2006). Making BUGS open. R News 6, 12-<br />
17.<br />
Thomson, S. A., Littlejohn, M. J., Robinson, W. A., <strong>and</strong> Osborne, W. S. (1996). Taxonomy <strong>of</strong><br />
the Litoria aurea complex: a re-evaluation <strong>of</strong> the Southern Tablel<strong>and</strong> populations<br />
<strong>of</strong> the Australian Capital Territory <strong>and</strong> New South Wales. Australian Zoologist 30,<br />
158-169.<br />
Walker, B., <strong>and</strong> Salt, D. (2006). 'Resilience thinking, sustaining ecosystems <strong>and</strong> people in<br />
a changing world'. (Isl<strong>and</strong> Press: Washington, USA).<br />
Werner, E. E., Skelly, D. K., Relyea, R. A., <strong>and</strong> Yurewicz, K. L. (2007). Amphibian species<br />
richness across environmental gradients. Oikos 116, 1697-1712.<br />
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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
6 Appendix 1. Sample data sheet<br />
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The <strong>Growling</strong> Grass Frog <strong>and</strong> the Late-Spring <strong>and</strong> Summer Breeding Frogs <strong>of</strong> North-Western Victoria<br />
Frog Species List<br />
Species Present (�)<br />
Visual Calling<br />
Adult Juv. Tad.<br />
Litoria raniformis<br />
Litoria peronii<br />
Crinis signifera<br />
Crinia parinsignifera<br />
Limnodynastes dumerilii<br />
Limnodynastes fletcheri<br />
Limnodynastes tasmaniensis<br />
Other species<br />
Frog Project Survey Form<br />
Site Code<br />
Date<br />
Time<br />
Other Taxa or Tadpoles<br />
Species Preserved (�)<br />
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Physical <strong>and</strong> Chemical Measurements<br />
Measurement Value<br />
GPS taken (circle) Yes No<br />
Photograph taken ID Number:<br />
Percentage aquatic vegetation<br />
Water temperature (°C)<br />
Conductivity (μS/cm@25°C)<br />
Turbidity<br />
pH<br />
Other<br />
Other Information<br />
Site name<br />
Road name<br />
Road name, nearest intersection<br />
kilometres <strong>and</strong> direction from nearest intersection or<br />
other check point<br />
Site type (�) Natural wetl<strong>and</strong><br />
Natural lake<br />
Farm Dam<br />
Fire Dam<br />
Irrigation channel<br />
Roadside ditch<br />
River<br />
Creek<br />
Oxbow lake<br />
Other<br />
Is the site a modified natural water body? (Yes or<br />
No)<br />
Other comments/Information<br />
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ISBN (print) 978-1-74208-260-8<br />
ISBN (online) 978-1-74208-261-5<br />
ISSN (print) 1835 3827<br />
ISSN (online) 1835 3835<br />
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