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RESEARCH ARTICLE (Open Access)
Contents Vol 30(6)

A targeted study to determine the conservation status of a Data Deficient montane lizard, the Eungella shadeskink (Saproscincus eungellensis)

Nicholas A. Scott A # , Jordan Mulder A # , Arman N. Pili A B , Paul M. Oliver https://orcid.org/0000-0003-4291-257X C D , Harry B. Hines D E , Jules E. Farquhar A § and David G. Chapple https://orcid.org/0000-0002-7720-6280 A § *
+ Author Affiliations
- Author Affiliations

A School of Biological Sciences, Monash University, Clayton, Vic, Australia.

B Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.

C Centre for Planetary Health and Food Security, Griffith University, Nathan, Qld, Australia.

D Biodiversity and Geosciences Program, Queensland Museum, South Brisbane, Qld, Australia.

E Queensland Parks and Wildlife Service and Partnerships, Department of Environment, Science and Innovation, Moggill, Qld, Australia.

* Correspondence to: David.Chapple@monash.edu

# These authors contributed equally to this paper.

§ Joint senior author.

Handling Editor: Dan Lunney

Pacific Conservation Biology 30, PC24050 https://doi.org/10.1071/PC24050
Submitted: 8 July 2024  Accepted: 24 September 2024  Published: 29 October 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Combatting biodiversity loss is often hamstrung by a lack of species-specific knowledge. Species considered Data Deficient (DD) on the IUCN Red List are poorly understood and often neglected in conservation investment, despite evidence they are often threatened. Reptiles have the highest percentage of DD species for any terrestrial vertebrate group.

Aims

We aimed to assess the conservation status of the DD Eungella shadeskink (Saproscincus eungellensis), which is endemic to Eungella National Park, Queensland, Australia.

Methods

A combination of a targeted field survey, ecological studies, and species distribution modelling were used.

Key results

Saproscincus eungellensis typically occurred within 25 m of streams, at elevations between 700 and 1000 m. The species is thigmothermic, with a low active body temperature (~23–26°C) and was predominantly observed on rocks and fallen palm fronds. The species has a highly restricted distribution with an estimated Area of Occupancy of 36 km2 and Extent of Occurrence of 81.7 km2, comprising one location (defined by the threat of climate change) with an estimated 16,352–52,892 mature individuals. The main threats are fire, invasive alien species and climate change, with the species forecast to lose all suitable habitat by 2080 under all climate change scenarios.

Conclusions

The species meets listing criteria for Critically Endangered under Criterion B of the International Union for Conservation of Nature.

Implications

Our results support recent studies indicating that some DD species are highly threatened. Our approach provides a template for conducting targeted studies to determine the conservation status of DD species, especially those with restricted ranges.

Keywords: climate change, Eungella National Park, extinction risk, fire, invasive species, IUCN Red List, Scincidae, SDM, species distributional modelling.

References

Aiello-Lammens ME, Boria RA, Radosavljevic A, Vilela B, Anderson RP (2015) spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography 38(5), 541-545.
| Crossref | Google Scholar |

ALA (Atlas of Living Australia) (2023) Saproscincus eungellensis. Available at https://bie.ala.org.au/species/https://biodiversity.org.au/afd/taxa/c5881bf2-26fb-4c58-8504-4f0515eda375 [accessed 8 April 2023]

Anderson MJ (2017) Permutational multivariate analysis of variance (PERMANOVA). In ‘Wiley StatsRef: statistics reference online’. (Eds N Balakrishnan, T Colton, B Everitt, W Piegorsch, F Ruggeri, JL Teugels) pp. 1–15. (John Wiley & Sons, Ltd: Auckland, New Zealand) doi:10.1002/9781118445112.stat07841

Ashton LA, Odell EH, Burwell CJ, Maunsell SC, Nakamura A, McDonald WJF, Kitching RL (2016) Altitudinal patterns of moth diversity in tropical and subtropical Australian rainforests. Austral Ecology 41(2), 197-208.
| Crossref | Google Scholar |

Bachman S, Moat J (2012) GeoCAT – an open source tool for rapid red list assessments. BGjournal 9(1), 11-13.
| Google Scholar |

Bachman S, Moat J, Hill AW, de la Torre J, Scott B (2011) Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool. ZooKeys 150, 117-126.
| Crossref | Google Scholar |

Bateman HL, Merritt DM (2020) Complex riparian habitats predict reptile and amphibian diversity. Global Ecology and Conservation 22, e00957.
| Crossref | Google Scholar |

Bland L (2014) Resolving the effects of Data Deficient species on the estimation of extinction risk. Ph.D. thesis, Imperial College London.

Bland LM, Bielby J, Kearney S, Orme CDL, Watson JEM, Collen B (2017) Toward reassessing data-deficient species. Conservation Biology 31(3), 531-539.
| Crossref | Google Scholar | PubMed |

Borgelt J, Dorber M, Høiberg MA, Verones F (2022) More than half of data deficient species predicted to be threatened by extinction. Communications Biology 5(1), 679.
| Crossref | Google Scholar | PubMed |

Braby MF (2018) Threatened species conservation of invertebrates in Australia: an overview. Austral Entomology 57(2), 173-181.
| Crossref | Google Scholar |

Brazeau D (2016) Habitat selection in the Common Five-lined Skink near the northern extent of its range. Master Thesis, Lakehead University, Ontario, Canada. Available at https://knowledgecommons.lakeheadu.ca/handle/2453/4239

Burnham KP, Anderson DR (2004) Multimodel Inference: understanding AIC and BIC in model selection. Sociological Methods & Research 33(2), 261-304.
| Crossref | Google Scholar |

Butchart SHM, Bird JP (2010) Data Deficient birds on the IUCN Red List: what don’t we know and why does it matter? Biological Conservation 143(1), 239-247.
| Crossref | Google Scholar |

Caetano GHdO, Chapple DG, Grenyer R, Raz T, Rosenblatt J, Tingley R, Böhm M, Meiri S, Roll U (2022) Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny. PLoS Biology 20(5), e3001544.
| Crossref | Google Scholar | PubMed |

Chapple DG, Tingley R, Mitchell NJ, Macdonald SL, Keogh JS, Shea GM, Bowles P, Cox NA, Woinarski JCZ (2019) ‘The action plan for Australian lizards and snakes 2017.’ (CSIRO Publishing)

Chapple DG, Roll U, Böhm M, Aguilar R, Amey AP, Austin CC, Baling M, Barley AJ, Bates MF, Bauer AM, Blackburn DG, Bowles P, Brown RM, Chandramouli SR, Chirio L, Cogger H, Colli GR, Conradie W, Couper PJ, Cowan MA, Craig MD, Das I, Datta-Roy A, Dickman CR, Ellis RJ, Fenner AL, Ford S, Ganesh SR, Gardner MG, Geissler P, Gillespie GR, Glaw F, Greenlees MJ, Griffith OW, Grismer LL, Haines ML, Harris DJ, Hedges SB, Hitchmough RA, Hoskin CJ, Hutchinson MN, Ineich I, Janssen J, Johnston GR, Karin BR, Keogh JS, Kraus F, LeBreton M, Lymberakis P, Masroor R, McDonald PJ, Mecke S, Melville J, Melzer S, Michael DR, Miralles A, Mitchell NJ, Nelson NJ, Nguyen TQ, de Campos Nogueira C, Ota H, Pafilis P, Pauwels OSG, Perera A, Pincheira-Donoso D, Reed RN, Ribeiro-Júnior MA, Riley JL, Rocha S, Rutherford PL, Sadlier RA, Shacham B, Shea GM, Shine R, Slavenko A, Stow A, Sumner J, Tallowin OJS, Teale R, Torres-Carvajal O, Trape J-F, Uetz P, Ukuwela KDB, Valentine L, Van Dyke JU, van Winkel D, Vasconcelos R, Vences M, Wagner P, Wapstra E, While GM, Whiting MJ, Whittington CM, Wilson S, Ziegler T, Tingley R, Meiri S (2021) Conservation status of the world’s skinks (Scincidae): taxonomic and geographic patterns in extinction risk. Biological Conservation 257, 109101.
| Crossref | Google Scholar |

Cherchi A, Fogli PG, Lovato T, Peano D, Iovino D, Gualdi S, Masina S, Scoccimarro E, Materia S, Bellucci A, Navarra A (2019) Global mean climate and main patterns of variability in the CMCC-CM2 coupled model. Journal of Advances in Modeling Earth Systems 11(1), 185-209.
| Crossref | Google Scholar |

Climate Change in Australia (2020) Super Clusters. Available at https://www.climatechangeinaustralia.gov.au/en/projections-tools/regional-climate-change-explorer/super-clusters/ [accessed 22 August 2023]

Colles A, Liow LH, Prinzing A (2009) Are specialists at risk under environmental change? Neoecological, paleoecological and phylogenetic approaches. Ecology Letters 12(8), 849-863.
| Crossref | Google Scholar | PubMed |

Colwell RK, Brehm G, Cardelús CL, Gilman AC, Longino JT (2008) Global warming, elevational range shifts, and lowland biotic attrition in the wet tropics. Science 322(5899), 258-261.
| Crossref | Google Scholar | PubMed |

Cordier JM, Lescano JN, Ríos NE, Leynaud GC, Nori J (2020) Climate change threatens micro-endemic amphibians of an important South American high-altitude center of endemism. Amphibia-Reptilia 41(2), 233-243.
| Crossref | Google Scholar |

Cox N, Young BE, Bowles P, Fernandez M, Marin J, Rapacciuolo G, Böhm M, Brooks TM, Hedges SB, Hilton-Taylor C, Hoffmann M, Jenkins RKB, Tognelli MF, Alexander GJ, Allison A, Ananjeva NB, Auliya M, Avila LJ, Chapple DG, Cisneros-Heredia DF, Cogger HG, Colli GR, de Silva A, Eisemberg CC, Els J, Fong GA, Grant TD, Hitchmough RA, Iskandar DT, Kidera N, Martins M, Meiri S, Mitchell NJ, Molur S, Nogueira CdC, Ortiz JC, Penner J, Rhodin AGJ, Rivas GA, Rödel M-O, Roll U, Sanders KL, Santos-Barrera G, Shea GM, Spawls S, Stuart BL, Tolley KA, Trape J-F, Vidal MA, Wagner P, Wallace BP, Xie Y (2022) A global reptile assessment highlights shared conservation needs of tetrapods. Nature 605(7909), 285-290.
| Crossref | Google Scholar | PubMed |

DCCEEW (2023a) Conservation advice for Lampropholis elongata (long sunskink). Department of Climate Change, Energy, the Environment and Water. Australian Government, Canberra.

DCCEEW (2023b) Conservation advice for Pseudemoia rawlinsoni (glossy grass skink). Department of Climate Change, Energy, the Environment and Water. Australian Government, Canberra.

DCCEEW (2023c) Conservation advice for Carinascincus greeni (northern snow skink). Department of Climate Change, Energy, the Environment and Water. Australian Government, Canberra.

Department of Environment, Science and Innovation, Queensland (2024a) Wetland mapping — Calen 100K map tile — 8656, Wetland Info website. Available at https://wetlandinfo.des.qld.gov.au/wetlands/facts-maps/tile-100k-calen/ [accessed 10 April 2024]

Department of Environment, Science and Innovation, Queensland (2024b) Wetland mapping — Mirani 100K map tile — 8656, Wetland Info website. Available at https://wetlandinfo.des.qld.gov.au/wetlands/facts-maps/tile-100k-mirani/ [accessed 10 April 2024]

Díaz JA (1997) Ecological correlates of the thermal quality of an ectotherm’s habitat: a comparison between two temperate lizard populations. Functional Ecology 11(1), 79-89.
| Crossref | Google Scholar |

Doupé RG, Mitchell J, Knott MJ, Davis AM, Lymbery AJ (2010) Efficacy of exclusion fencing to protect ephemeral floodplain lagoon habitats from feral pigs (Sus scrofa). Wetlands Ecology and Management 18(1), 69-78.
| Crossref | Google Scholar |

Ebach MC, Michaux B (2020) Neotectonics and Australian biogeography. In ‘Biotectonics: tectonics as the driver of bioregionalisation’. (Eds MC Ebach, B Michaux) pp. 33–47. (Springer International Publishing: Cham) 10.1007/978-3-030-51773-1_3

Eyring V, Bony S, Meehl GA, Senior CA, Stevens B, Stouffer RJ, Taylor KE (2016) Overview of the coupled model intercomparison project phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development 9(5), 1937-1958.
| Crossref | Google Scholar |

Fan X, Duan Q, Shen C, Wu Y, Xing C (2020) Global surface air temperatures in CMIP6: historical performance and future changes. Environmental Research Letters 15(10), 104056.
| Crossref | Google Scholar |

Faria AS, Menin M, Kaefer IL (2019) Riparian zone as a main determinant of the structure of lizard assemblages in upland Amazonian forests. Austral Ecology 44(5), 850-858.
| Crossref | Google Scholar |

Farquhar JE, Carlesso A, Pili A, Gale N, Chapple DG (2023a) Capturing uncatalogued distribution records to improve conservation assessments of data-deficient species: a case study using the glossy grass skink. Animal Conservation 27(1), 124-137.
| Crossref | Google Scholar |

Farquhar JE, Russell W, Chapple DG (2023b) Identifying the abiotic factors that determine the inland range limits of a mesic-adapted lizard species. Integrative and Comparative Biology 64(1), 55-66.
| Crossref | Google Scholar |

Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24(1), 38-49.
| Crossref | Google Scholar |

Fitzgerald M, Shine R, Lemckert F (2003) A reluctant heliotherm: thermal ecology of the arboreal snake Hoplocephalus stephensii (Elapidae) in dense forest. Journal of Thermal Biology 28(6–7), 515-524.
| Crossref | Google Scholar |

Fox J, Weisberg S (2019) ‘An R companion to applied regression,’ 3rd edn. (Sage: Thousand Oaks, CA) Available at https://www.john-fox.ca/Companion/

Geyle HM, Tingley R, Amey AP, Cogger H, Couper PJ, Cowan M, Craig MD, Doughty P, Driscoll DA, Ellis RJ, Emery J-P, Fenner A, Gardner MG, Garnett ST, Gillespie GR, Greenlees MJ, Hoskin CJ, Keogh JS, Lloyd R, Melville J, McDonald PJ, Michael DR, Mitchell NJ, Sanderson C, Shea GM, Sumner J, Wapstra E, Woinarski JCZ, Chapple DG (2021) Reptiles on the brink: identifying the Australian terrestrial snake and lizard species most at risk of extinction. Pacific Conservation Biology 27(1), 3-12.
| Crossref | Google Scholar |

Godínez-Alvarez H, Herrick JE, Mattocks M, Toledo D, Van Zee J (2009) Comparison of three vegetation monitoring methods: their relative utility for ecological assessment and monitoring. Ecological Indicators 9(5), 1001-1008.
| Crossref | Google Scholar |

González-del-Pliego P, Freckleton RP, Edwards DP, Koo MS, Scheffers BR, Pyron RA, Jetz W (2019) Phylogenetic and trait-based prediction of extinction risk for Data-Deficient amphibians. Current Biology 29(9), 1557-1563.E3.
| Crossref | Google Scholar | PubMed |

Grady KC, Laughlin DC, Ferrier SM, Kolb TE, Hart SC, Allan GJ, Whitham TG (2013) Conservative leaf economic traits correlate with fast growth of genotypes of a foundation riparian species near the thermal maximum extent of its geographic range. Functional Ecology 27(2), 428-438.
| Crossref | Google Scholar |

Graham KA, Mahony SV, Chapple DG, Farquhar JE (2023) The long unknown: rediscovery of the long sunskink, Lampropholis elongata (Squamata: Scincidae) – after almost a decade, and after 50 years of data deficiency. Austral Ecology 48(5), 877-884.
| Crossref | Google Scholar |

Greer AE (1980) Critical thermal maximum temperatures in Australian scincid lizards: their ecological and evolutionary significance. Australian Journal of Zoology 28(1), 91-102.
| Crossref | Google Scholar |

Greer AE (1989) ‘The biology and evolution of Australian lizards.’ Surrey Beatty. Available at https://cir.nii.ac.jp/crid/1130282268970495616

Grigg JW, Buckley LB (2013) Conservatism of lizard thermal tolerances and body temperatures across evolutionary history and geography. Biology Letters 9(2), 20121056.
| Crossref | Google Scholar | PubMed |

Grose MR, Narsey S, Trancoso R, Mackallah C, Delage F, Dowdy A, Di Virgilio G, Watterson I, Dobrohotoff P, Rashid HA, Rauniyar S, Henley B, Thatcher M, Syktus J, Abramowitz G, Evans JP, Su C-H, Takbash A (2023) A CMIP6-based multi-model downscaling ensemble to underpin climate change services in Australia. Climate Services 30, 100368.
| Crossref | Google Scholar |

Gumbs R, Gray CL, Böhm M, Hoffmann M, Grenyer R, Jetz W, Meiri S, Roll U, Owen NR, Rosindell J (2020) Global priorities for conservation of reptilian phylogenetic diversity in the face of human impacts. Nature Communications 11(1), 2616.
| Crossref | Google Scholar | PubMed |

Hagger V, Fisher D, Schmidt S, Blomberg S (2013) Assessing the vulnerability of an assemblage of subtropical rainforest vertebrate species to climate change in south-east Queensland. Austral Ecology 38(4), 465-475.
| Crossref | Google Scholar |

HamadAmin BA, Khwarahm NR (2023) Mapping impacts of climate change on the distributions of two endemic tree species under Socioeconomic Pathway Scenarios (SSP). Sustainability 15(6), 5469.
| Crossref | Google Scholar |

Hamilton K, Goulet CT, Drummond EM, Senior AF, Schroder M, Gardner MG, While GM, Chapple DG (2021) Decline in lizard species diversity, abundance and ectoparasite load across an elevational gradient in the Australian alps. Austral Ecology 46, 8-19.
| Crossref | Google Scholar |

Hausfather Z, Peters GP (2020) Emissions – the ‘business as usual’ story is misleading. Nature 577(7792), 618-620.
| Crossref | Google Scholar | PubMed |

Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25(15), 1965-1978.
| Crossref | Google Scholar |

Hines HB, Brook M, Wilson J, McDonald WJF, Hargreaves J (2020) The extent and severity of the MacKay highlands 2018 wildfires and the potential impact on natural values, particularly in the mesic forests of the Eungella-crediton area. Proceedings of the Royal Society of Queensland 125, 139-157.
| Crossref | Google Scholar |

Hoskin C, Amey A, Couper P, Vanderduys E (2018) Saproscincus eungellensis. The IUCN Red List of Threatened Species 2018: e.T109481233A109481236. Available at doi:https://dx.doi.org/10.2305/IUCN.UK.2018-1.RLTS.T109481233A109481236.en [accessed 11 October 2024]

Huang S-P, Porter WP, Tu M-C, Chiou C-R (2014) Forest cover reduces thermally suitable habitats and affects responses to a warmer climate predicted in a high-elevation lizard. Oecologia 175(1), 25-35.
| Crossref | Google Scholar | PubMed |

Huey RB (1974) Behavioral thermoregulation in lizards: importance of associated costs. Science 184(4140), 1001-1003.
| Crossref | Google Scholar |

Hughes L (2011) Climate change and Australia: key vulnerable regions. Regional Environmental Change 11(S1), 189-195.
| Crossref | Google Scholar |

IUCN (2024a) Summary statistics. IUCN Red List. Available at https://www.iucnredlist.org/resources/summary-statistics [accessed 20 March 2024].

IUCN (2024b) Guidelines for using the IUCN red list categories and criteria [online]. Available at https://nc.iucnredlist.org/redlist/content/attachment_files/RedListGuidelines.pdf [accessed 28 February 2024].

Jackson DA (1993) Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches. Ecology 74(8), 2204-2214.
| Crossref | Google Scholar |

Jarić I, Courchamp F, Gessner J, Roberts DL (2016) Potentially threatened: a Data Deficient flag for conservation management. Biodiversity and Conservation 25(10), 1995-2000.
| Crossref | Google Scholar |

Kass JM, Muscarella R, Galante PJ, Bohl CL, Pinilla-Buitrago GE, Boria RA, Soley-Guardia M, Anderson RP (2021) ENMeval 2.0: redesigned for customizable and reproducible modeling of species’ niches and distributions. Methods in Ecology and Evolution 12(9), 1602-1608.
| Crossref | Google Scholar |

Kassambara A, Mundt F (2020) Factoextra: extract and visualize the results of multivariate data analyses. R Package Version 1.0.7. Available at https://CRAN.R-project.org/package=factoextra

Kearney M, Porter WP (2004) Mapping the fundamental niche: physiology, climate, and the distribution of a nocturnal lizard. Ecology 85(11), 3119-3131.
| Crossref | Google Scholar |

Kramer-Schadt S, Niedballa J, Pilgrim JD, Schröder B, Lindenborn J, Reinfelder V, Stillfried M, Heckmann I, Scharf AK, Augeri DM, Cheyne SM, Hearn AJ, Ross J, Macdonald DW, Mathai J, Eaton J, Marshall AJ, Semiadi G, Rustam R, Bernard H, Alfred R, Samejima H, Duckworth JW, Breitenmoser-Wuersten C, Belant JL, Hofer H, Wilting A (2013) The importance of correcting for sampling bias in MaxEnt species distribution models. Diversity and Distributions 19(11), 1366-1379.
| Crossref | Google Scholar |

Laurance WF (2015) Emerging threats to tropical forests. Annals of the Missouri Botanical Garden 100(3), 159-169.
| Crossref | Google Scholar |

Le Breton TD, Zimmer HC, Gallagher RV, Cox M, Allen S, Auld TD (2019) Using IUCN criteria to perform rapid assessments of at-risk taxa. Biodiversity and Conservation 28(4), 863-883.
| Crossref | Google Scholar |

Lê S, Josse J, Husson F (2008) FactoMineR: an R package for multivariate analysis. Journal of Statistical Software 25(1), 1-18.
| Crossref | Google Scholar |

Lees DM, Watchorn DJ, Driscoll DA, Doherty TS (2022) Microhabitat selection by small mammals in response to fire. Australian Journal of Zoology 69(3), 67-79.
| Crossref | Google Scholar |

Li F, Song X, Harrison S, Lin Z (2024) Evaluation of global fire simulations in CMIP6 Earth system models. In ‘EGU General Assembly 2024, EGU24-14202. Copernicus Meetings’. Geoscientific Model Development Discussions. 10.5194/egusphere-egu24-14202

Lindenmayer DB, Wood JT, McBurney L, MacGregor C, Youngentob K, Banks SC (2011) How to make a common species rare: a case against conservation complacency. Biological Conservation 144(5), 1663-1672.
| Crossref | Google Scholar |

Mahony MJ (2020) The amphibian fauna of Eungella and their important role in unravelling the evolutionary history of the Australian east coast closed forest biota. Proceedings of the Royal Society of Queensland 125, 81-96.
| Google Scholar |

Mancini G, Santini L, Cazalis V, Akçakaya HR, Lucas PM, Brooks TM, Foden W, Di Marco M (2024) A standard approach for including climate change responses in IUCN Red List assessments. Conservation Biology 38(3), e14227.
| Crossref | Google Scholar |

Martin TG, Nally S, Burbidge AA, Arnall S, Garnett ST, Hayward MW, Lumsden LF, Menkhorst P, McDonald-Madden E, Possingham HP (2012) Acting fast helps avoid extinction. Conservation Letters 5(4), 274-280.
| Crossref | Google Scholar |

Masson-Delmotte VP, Zhai P, Pirani SL, Connors C, Péan S, Berger N, Caud Y, Chen L, Goldfarb MI, Scheel Monteiro PM (2021) IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Report. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. Available at https://researchspace.csir.co.za/dspace/handle/10204/12710

McGregor HW, Cliff HB, Kanowski J (2016) Habitat preference for fire scars by feral cats in Cape York Peninsula, Australia. Wildlife Research 43(8), 623-633.
| Crossref | Google Scholar |

Meinshausen M, Nicholls ZRJ, Lewis J, Gidden MJ, Vogel E, Freund M, Beyerle U, Gessner C, Nauels A, Bauer N, Canadell JG, Daniel JS, John A, Krummel PB, Luderer G, Meinshausen N, Montzka SA, Rayner PJ, Reimann S, Smith SJ, van den Berg M, Velders GJM, Vollmer MK, Wang RHJ (2020) The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500. Geoscientific Model Development 13(8), 3571-3605.
| Crossref | Google Scholar |

Meiri S, Chapple DG, Tolley KA, Mitchell N, Laniado T, Cox N, Bowles P, Young BE, Caetano G, Geschke J, Böhm M, Roll U (2023) Done but not dusted: reflections on the first global reptile assessment and priorities for the second. Biological Conservation 278, 109879.
| Crossref | Google Scholar |

Meyer EA, Hines HB, Clarke JM, Hoskin CJ (2020) An update on the status of wet forest stream-dwelling frogs of the Eungella region. The Proceedings of the Royal Society of Queensland 125, 97-115.
| Google Scholar |

Morais AR, Siqueira MN, Lemes P, Maciel NM, De Marco P, Jr, Brito D (2013) Unraveling the conservation status of Data Deficient species. Biological Conservation 166, 98-102.
| Crossref | Google Scholar |

Morgan KR (1988) Body temperature, energy metabolism, and stamina in two neotropical forest lizards (ameiva, teiidae). Journal of Herpetology 22(2), 236-241.
| Crossref | Google Scholar |

Moussalli A, Moritz C, Williams SE, Carnaval AC (2009) Variable responses of skinks to a common history of rainforest fluctuation: concordance between phylogeography and palaeo-distribution models. Molecular Ecology 18(3), 483-499.
| Crossref | Google Scholar | PubMed |

Muñoz MM, Losos JB (2018) Thermoregulatory behavior simultaneously promotes and forestalls evolution in a tropical lizard. The American Naturalist 191(1), E15-E26.
| Crossref | Google Scholar | PubMed |

Muñoz MM, Langham GM, Brandley MC, Rosauer DF, Williams SE, Moritz C (2016) Basking behavior predicts the evolution of heat tolerance in Australian rainforest lizards. Evolution 70(11), 2537-2549.
| Crossref | Google Scholar | PubMed |

Muñoz MM, Feeley KJ, Martin PH, Farallo VR (2022) The multidimensional (and contrasting) effects of environmental warming on a group of montane tropical lizards. Functional Ecology 36(2), 419-431.
| Crossref | Google Scholar |

Muscarella R, Galante PJ, Soley-Guardia M, Boria RA, Kass JM, Uriarte M, Anderson RP (2014) ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods in Ecology and Evolution 5(11), 1198-1205.
| Crossref | Google Scholar |

Nazarenko LS, Tausnev N, Russell GL, Rind D, Miller RL, Schmidt GA, Bauer SE, Kelley M, Ruedy R, Ackerman AS, Aleinov I, Bauer M, Bleck R, Canuto V, Cesana G, Cheng Y, Clune TL, Cook BI, Cruz CA, Del Genio AD, Elsaesser GS, Faluvegi G, Kiang NY, Kim D, Lacis AA, Leboissetier A, LeGrande AN, Lo KK, Marshall J, Matthews EE, McDermid S, Mezuman K, Murray LT, Oinas V, Orbe C, García-Pando CP, Perlwitz JP, Puma MJ, Romanou A, Shindell DT, Sun S, Tsigaridis K, Tselioudis G, Weng E, Wu J, Yao M-S (2022) Future climate change under SSP emission scenarios with GISS-E2.1. Journal of Advances in Modeling Earth Systems 14(7), e2021MS002871.
| Crossref | Google Scholar |

Neel LK, Logan ML, Nicholson DJ, Miller C, Chung AK, Maayan I, Degon Z, DuBois M, Curlis JD, Taylor Q, Keegan KM, McMillan WO, Losos JB, Cox CL (2021) Habitat structure mediates vulnerability to climate change through its effects on thermoregulatory behavior. Biotropica 53(4), 1121-1133.
| Crossref | Google Scholar |

Ortega-Andrade HM, Rodes Blanco M, Cisneros-Heredia DF, Guerra Arévalo N, López de Vargas-Machuca KG, Sánchez-Nivicela JC, Armijos-Ojeda D, Cáceres Andrade JF, Reyes-Puig C, Quezada Riera AB, Székely P, Rojas Soto OR, Székely D, Guayasamin JM, Siavichay Pesántez FR, Amador L, Betancourt R, Ramírez-Jaramillo SM, Timbe-Borja B, Gómez Laporta M, Webster Bernal JF, Oyagata Cachimuel LA, Chávez Jácome D, Posse V, Valle-Piñuela C, Padilla Jiménez D, Reyes-Puig JP, Terán-Valdez A, Coloma LA, Pérez Lara MB, Carvajal-Endara S, Urgilés M, Yánez Muñoz MH (2021) Red List assessment of amphibian species of Ecuador: a multidimensional approach for their conservation. PLoS ONE 16(5), e0251027.
| Crossref | Google Scholar | PubMed |

Ortega Z, Pérez-Mellado V (2016) Seasonal patterns of body temperature and microhabitat selection in a lacertid lizard. Acta Oecologica 77, 201-206.
| Crossref | Google Scholar |

Parsons ECM (2016) Why IUCN should replace “Data Deficient” conservation status with a precautionary “Assume Threatened” status – a cetacean case study. Frontiers in Marine Science 3, 193.
| Crossref | Google Scholar |

Penman TD, Pike DA, Webb JK, Shine R (2010) Predicting the impact of climate change on Australia’s most endangered snake, Hoplocephalus bungaroides. Diversity and Distributions 16(1), 109-118.
| Crossref | Google Scholar |

Peters RL, Darling JDS (1985) The greenhouse effect and nature reserves: global warming would diminish biological diversity by causing extinctions among reserve species. BioScience 35(11), 707-717.
| Crossref | Google Scholar |

Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling 190(3–4), 231-259.
| Crossref | Google Scholar |

Powney GD, Grenyer R, Orme CDL, Owens IPF, Meiri S (2010) Hot, dry and different: Australian lizard richness is unlike that of mammals, amphibians and birds. Global Ecology and Biogeography 19(3), 386-396.
| Crossref | Google Scholar |

QGIS Development Team (2022) QGIS Geographic Information System. Open Source Geospatial Foundation Project. Available at http://qgis.osgeo.org

R Core Team (2023) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria) Available at https://www.R-project.org/

Román-Palacios C, Wiens JJ (2020) Recent responses to climate change reveal the drivers of species extinction and survival. Proceedings of the National Academy of Sciences 117(8), 4211-4217.
| Crossref | Google Scholar |

Sadlier RA, Couper P, Colgan DJ, Vanderduys E, Rickard E (2005) A new species of scincid lizard, Saproscincus eungellensis, from mid-eastern Queensland. Memoirs of the Queensland Museum 51(2), 559-571.
| Google Scholar |

Sannolo M, Mangiacotti M, Sacchi R, Scali S (2014) Keeping a cool mind: head–body temperature differences in the common wall lizard. Journal of Zoology 293(2), 71-79.
| Crossref | Google Scholar |

Sazima I (2023) Thigmothermic behaviour on paved paths after sunset by the weasel skink Saproscincus mustelinus. The Herpetological Bulletin 166, 40-42.
| Crossref | Google Scholar |

Scheffers BR, Edwards DP, Macdonald SL, Senior RA, Andriamahohatra LR, Roslan N, Rogers AM, Haugaasen T, Wright P, Williams SE (2017) Extreme thermal heterogeneity in structurally complex tropical rain forests. Biotropica 49(1), 35-44.
| Crossref | Google Scholar |

Scoccimarro E, Peano D, Gualdi S, Bellucci A, Lovato T, Fogli PG, Navarra A (2021) Extreme events representation in CMCC-CM2 high and very-high resolution general circulation models. Geoscientific Model Development Discussions 1-18.
| Crossref | Google Scholar |

Seastedt TR, Oldfather MF (2021) Climate change, ecosystem processes and biological diversity responses in high elevation communities. Climate 9(5), 87.
| Crossref | Google Scholar |

Sopniewski J, Scheele BC, Cardillo M (2022) Predicting the distribution of Australian frogs and their overlap with Batrachochytrium dendrobatidis under climate change. Diversity and Distributions 28(6), 1255-1268.
| Crossref | Google Scholar |

Tingley R, Macdonald SL, Mitchell NJ, Woinarski JCZ, Meiri S, Bowles P, Cox NA, Shea GM, Böhm M, Chanson J, Tognelli MF, Harris J, Walke C, Harrison N, Victor S, Woods C, Amey AP, Bamford M, Catt G, Clemann N, Couper PJ, Cogger H, Cowan M, Craig MD, Dickman CR, Doughty P, Ellis R, Fenner A, Ford S, Gaikhorst G, Gillespie GR, Greenlees MJ, Hobson R, Hoskin CJ, How R, Hutchinson MN, Lloyd R, McDonald P, Melville J, Michael DR, Moritz C, Oliver PM, Peterson G, Robertson P, Sanderson C, Somaweera R, Teale R, Valentine L, Vanderduys E, Venz M, Wapstra E, Wilson S, Chapple DG (2019) Geographic and taxonomic patterns of extinction risk in Australian squamates. Biological Conservation 238, 108203.
| Crossref | Google Scholar |

Torkkola JJ, Chauvenet ALM, Hines H, Oliver PM (2022a) Distributional modelling, megafires and data gaps highlight probable underestimation of climate change risk for two lizards from Australia’s montane rainforests. Austral Ecology 47(2), 365-379.
| Crossref | Google Scholar |

Torkkola JJ, Wilmer JW, Hutchinson MN, Couper PJ, Oliver PM (2022b) Die on this hill? A new monotypic, microendemic and montane vertebrate genus from the Australian Wet Tropics. Zoologica Scripta 51(5), 483-497.
| Crossref | Google Scholar |

VanDerWal J, Shoo LP, Williams SE (2009) New approaches to understanding late Quaternary climate fluctuations and refugial dynamics in Australian wet tropical rain forests. Journal of Biogeography 36(2), 291-301.
| Crossref | Google Scholar |

Walther G-R, Post E, Convey P, Menzel A, Parmesan C, Beebee TJC, Fromentin J-M, Hoegh-Guldberg O, Bairlein F (2002) Ecological responses to recent climate change. Nature 416(6879), 389-395.
| Crossref | Google Scholar | PubMed |

Warren DL, Seifert SN (2011) Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Ecological Applications 21(2), 335-342.
| Crossref | Google Scholar | PubMed |

Warren PL, Schwalbe CR (1985) Herpetofauna in riparian habitats along the Colorado River in Grand Canyon. In ‘Riparian ecosystems and their management: a symposium’, Tuscon, Arizona. (Tech. coord. RR Johnson, CD Ziebell, DR Patton, PF Folliotts, RH Hamre) pp. 347–354.

Whiles M, Grubaugh J (1996) Biodiversity and Coarse Woody Debris in Southern Forests. DIANE Publishing.

Williams SE, Bolitho EE, Fox S (2003) Climate change in Australian tropical rainforests: an impending environmental catastrophe. Proceedings of the Royal Society of London. Series B: Biological Sciences 270(1527), 1887-1892.
| Crossref | Google Scholar |

Williams SE, Shoo LP, Isaac JL, Hoffmann AA, Langham G (2008) Towards an integrated framework for assessing the vulnerability of species to climate change. PLoS Biology 6(12), e325.
| Crossref | Google Scholar | PubMed |

Williams SE, Williams YM, VanDerWal J, Isaac JL, Shoo LP, Johnson CN (2009) Ecological specialization and population size in a biodiversity hotspot: how rare species avoid extinction. Proceedings of the National Academy of Sciences 106(supplement_2), 19737-19741.
| Crossref | Google Scholar |

Wilson S, Swan G (2020) ‘A guide to reptiles of Australia.’ 6th edn. (Reed New Holland: Sydney)

Woinarski JCZ, Murphy BP, Palmer R, Legge SM, Dickman CR, Doherty TS, Edwards G, Nankivell A, Read JL, Stokeld D (2018) How many reptiles are killed by cats in Australia? Wildlife Research 45(3), 247-266.
| Crossref | Google Scholar |

Wotherspoon L, de Oliveira Caetano GH, Roll U, Meiri S, Pili A, Tingley R, Chapple DG (2024) Inferring the extinction risk of Data Deficient and not evaluated Australian squamates. Austral Ecology 49(2), e13485.
| Crossref | Google Scholar |