377
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Remotely sensed agricultural modification improves prediction of suitable habitat for a threatened lizard

ORCID Icon, , ORCID Icon & ORCID Icon
Pages 1006-1025 | Received 08 Aug 2016, Accepted 12 Jan 2018, Published online: 21 Jan 2018

References

  • Abell, R.S., 1992. Canberra 1:100 000 scale geological map. Canberra: Bureau of Mineral Resources.
  • Adomeit, E.M., et al., 1987. Annual mean rainfall and temperature surfaces, and contour maps of south-eastern Australia. Canberra: CSIRO.
  • Anderson, R.P., Lew, D., and Peterson, A.T., 2003. Evaluating predictive models of species’ distributions: criteria for selecting optimal models. Ecological Modelling, 162, 211–232. doi:10.1016/S0304-3800(02)00349-6.
  • Austin, M.P., 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling, 157, 101–118. doi:10.1016/S0304-3800(02)00205-3.
  • Barrer, P., 1992. A survey of Aprasia parapulchella along parts of the lower Molonglo River corridor. A report to the ACT Heritage Unit and the ACT Parks and Conservation Service Wildlife Research Unit. Canberra.
  • Benton, T.G., Vickery, J.A., and Wilson, J.D., 2003. Farmland biodiversity: is habitat heterogeneity the key? Trends in Ecology & Evolution, 18, 182–188. doi:10.1016/S0169-5347(03)00011-9.
  • Brown, G.W., 2001. The influence of habitat disturbance on reptiles in a Box-Ironbark eucalypt forest of south-eastern Australia. Biodiversity and Conservation, 10, 161–176. doi:10.1023/A:1008919521638.
  • Brown, G.W., Bennett, A.F., and Potts, J.M., 2008. Regional faunal decline - reptile occurrence in fragmented rural landscapes of south-eastern Australia. Wildlife Research, 35, 8–18. doi:10.1071/WR07010.
  • Clarke, P.J., 2003. Composition of grazed and cleared temperate grassy woodlands in eastern Australia: patterns in space and inferences in time. Journal of Vegetation Science, 14, 5–14. doi:10.1111/j.1654-1103.2003.tb02122.x.
  • Dorrough, J., et al., 2012. Differential responses of plants, reptiles and birds to grazing management, fertilizer and tree clearing. Austral Ecology, 37, 569–582. doi:10.1111/j.1442-9993.2011.02317.x.
  • Dorrough, J. and Scroggie, M.P., 2008. Plant responses to agricultural intensification. Journal of Applied Ecology, 45, 1274–1283. doi:10.1111/jpe.2008.45.issue-4.
  • Elith, J., et al., 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29, 129–151. doi:10.1111/j.2006.0906-7590.04596.x.
  • Elith, J., et al., 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17, 43–57. doi:10.1111/j.1472-4642.2010.00725.x.
  • Engler, R., Guisan, A., and Rechsteiner, L., 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 41, 263–274. doi:10.1111/j.0021-8901.2004.00881.x.
  • Environmental Research and Information Consortium, 2001. Remote sensing detection of native grasslands using multi-image spectral analysis - south eastern highlands of nsw. Report prepared for National Parks and Wildlife Service. Canberra: Environmental Research and Information Consortium.
  • Evans, M.C., et al., 2011. The spatial distribution of threats to species in Australia. BioScience, 61, 281–289. doi:10.1525/bio.2011.61.4.8.
  • Ferrier, S., et al., 2002. Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. I. Species-level modelling. Biodiversity and Conservation, 11, 2275–2307. doi:10.1023/A:1021302930424.
  • Fielding, A.H. and Bell, J.F., 2002. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38–49. doi:10.1017/S0376892997000088.
  • Foufopoulos, J. and Ives, A.R., 1999. Reptile extinctions on land-bridge islands: life-history attributes and vulnerability to extinction. The American Naturalist, 153, 1–25.
  • Gogol-Prokurat, M., 2011. Predicting habitat suitability for rare plants at local spatial scales using a species distribution model. Ecological Applications, 21, 33–47. doi:10.1890/09-1190.1.
  • Groves, R.H., Austin, M.P., and Kaye, P.E., 2003. Competition between Australian native and introduced grasses along a nutrient gradient. Austral Ecology, 28, 491–498. doi:10.1046/j.1442-9993.2003.01305.x.
  • Guisan, A., et al., 2006. Using niche-based models to improve the sampling of rare species. Conservation Biology, 20, 501–511. doi:10.1111/j.1523-1739.2006.00354.x.
  • Guisan, A. and Thuiller, W., 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8, 993–1009. doi:10.1111/ele.2005.8.issue-9.
  • Guisan, A. and Zimmermann, N.E., 2000. Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147–186. doi:10.1016/S0304-3800(00)00354-9.
  • Hanley, J.A. and NcNeil, B.S., 1982. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29–36. doi:10.1148/radiology.143.1.7063747.
  • Heatwole, H.F. and Taylor, J., 1987. Ecology of reptiles. Chipping Norton, NSW: Surrey Beatty and Sons.
  • Heikkinen, R.K., et al., 2007. Biotic interactions improve prediction of boreal bird distributions at macro-scales. Global Ecology and Biogeography, 16, 754–763. doi:10.1111/j.1466-8238.2007.00345.x.
  • Hero, J.M. and Morrison, C., Frog declines in Australia: global implications. Symposium of the Society for Conservation Biology, 15 July 2002 Canterbury, England, 175–186.
  • Hoffmann, M., et al., 2010. The impact of conservation on the status of the world’s vertebrates. Science, 330, 1503–1509. doi:10.1126/science.1194442.
  • Houlder, D., et al., 2000. ANUCLIM user’s guide. Canberra, Australia: Centre for Resource and Environmental Studies, Australian National University.
  • Hutchinson, G.E., 1978. An introduction to population ecology. New Haven: Yale University Press.
  • James, C.D., 2003. Response of vertebrates to fenceline contrasts in grazing intensity in semi-arid woodlands of eastern Australia. Austral Ecology, 28, 137–151. doi:10.1046/j.1442-9993.2003.01259.x.
  • Jones, S.R., 1992. Habitat relationships, diet and abundance of the endangered Pygopodid, Aprasia parapulchella in the Australian Capital Territory and surrounding New South Wales. Honours thesis (Bachelor of Applied Science). University of Canberra.
  • Jones, S.R., 1999. Conservation biology of the pink-tailed legless lizard Aprasia parapulchella. PhD thesis. University of Canberra.
  • Klimek, S., et al., 2007. Plant species richness and composition in managed grasslands: the relative importance of field management and environmental factors. Biological Conservation, 134, 559–570. doi:10.1016/j.biocon.2006.09.007.
  • Kramer-Schadt, S., et al., 2013. The importance of correcting for sampling bias in MaxEnt species distribution models. Diversity and Distributions, 19, 1366–1379. doi:10.1111/ddi.12096.
  • Langston, A.C., 1996. The ecology and distribution of Tympanocryptis lineata pinguicolla (southern lined earless dragon) in the Australian Capitatl Territory and adjacent sub-region. Honours thesis. University of Canberra.
  • Le Lay, G., et al., 2010. Prospective sampling based on model ensembles improves the detection of rare species. Ecography, 33, 1015–1027. doi:10.1111/j.1600-0587.2010.06338.x.
  • Lippitt, C.D., et al., 2008. Incorporating anthropogenic variables into a species distribution model to map gypsy moth risk. Ecological Modelling, 210, 339–350. doi:10.1016/j.ecolmodel.2007.08.005.
  • Loiselle, B.A., et al., 2003. Avoiding pitfalls of using species distribution models in conservation planning. Conservation Biology, 17, 1591–1600. doi:10.1111/j.1523-1739.2003.00233.x.
  • Luoto, M., et al., 2006. Determinants of the biogeographical distribution of butterflies in boreal regions. Journal of Biogeography, 33, 1764–1778. doi:10.1111/j.1365-2699.2005.01395.x.
  • Mackey, B.G. and Lindenmayer, D.B., 2001. Towards a hierarchical framework for modelling the spatial distribution of animals. Journal of Biogeography, 28, 1147–1166. doi:10.1046/j.1365-2699.2001.00626.x.
  • Manel, S., Williams, H.C., and Ormerod, S.J., 2001. Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology, 38, 921–931. doi:10.1046/j.1365-2664.2001.00647.x.
  • Marage, D., Garraud, L., and Rameau, J.-C., 2007. The influence of management history on spatial prediction of Eryngium spinalba, an endangered endemic species. Applied Vegetation Science, 11, 139–148. doi:10.1111/j.1654-109X.2008.tb00212.x.
  • Maron, M. and Lill, A., 2005. The influence of livestock grazing and weed invasion on habitat use by birds in grassy woodland remnants. Biological Conservation, 124, 439–450. doi:10.1016/j.biocon.2005.02.002.
  • McCune, J.L., et al., 2013. Threats to Canadian species at risk: an analysis of finalized recovery strategies. Biological Conservation, 166, 254–265. doi:10.1016/j.biocon.2013.07.006.
  • McIntyre, S., 2005. Biodiversity attributes of different sward structures in grazed grassland. Ecological Management & Restoration, 6, 71–73. doi:10.1111/emr.2005.6.issue-1.
  • McIntyre, S. and Tongway, D., 2005. Grassland structure in native pastures: links to soil surface condition. Ecological Management & Restoration, 6, 43–50. doi:10.1111/emr.2005.6.issue-1.
  • McKinney, M.L. and Lockwood, J.L., 1999. Biotic homogenization: a few winners replacing many losers in the next mass extinction. Trends in Ecology & Evolution, 14, 450–453. doi:10.1016/S0169-5347(99)01679-1.
  • Merow, C., Smith, M.J., and Silander, J.A., 2013. A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography, 36, 1058–1069. doi:10.1111/ecog.2013.36.issue-10.
  • Messick, J.A. and Hoagland, B.W., 2013. Potential distribution modeling of Penstemon oklahomensis (Plantaginaceae). Journal of the Botanical Research Institute of Texas, 7, 891–899.
  • Murphy, B.P. and Bowman, D.M.J.S., 2007. Seasonal water availability predicts the relative abundance of C3 and C4 grasses in Australia. Global Ecology and Biogeography, 16, 160–169. doi:10.1111/j.1466-8238.2006.00285.x.
  • Osborne, W. and Wong, D., 2010. Extent of potential pink-tailed worm-lizard (Aprasia parapulchella) habitat in the stage 2 investigation area - East Molonglo. Report commissioned by ACT Planning and Land Authority. Canberra: Institute for Applied Ecology, University of Canberra.
  • Osborne, W.S. and Coghlan, R., 2004. Distribution of the pink-tailed worm lizard in the lower Molonglo Valley, ACT, with respect to strategic land planning. Report commissioned by ACT Planning and Land Authority. Canberra: Institute for Applied Ecology, University of Canberra.
  • Osborne, W.S., Lintermans, M., and Williams, K.D., 1991. Distribution and conservation status of the endangered pink-tailed legless lizard (Aprasia parapulchella) (Kluge). Research Report 5. Canberra: ACT Parks and Conservation Service.
  • Osborne, W.S. and McKergow, F.V.C., 1993. Distribution, population density and habitat of the pink-tailed legless lizard (Aprasia parapulchella) in Canberra Nature Park. Technical Report No. 3. Canberra: ACT Parks and Conservation Service.
  • Owen, M. and Wyborn, D., 1979a. Brindabella (NSW and ACT) 1:100 000 geological map. Canberra: Bureau of Mineral Resources.
  • Owen, M. and Wyborn, D., 1979b. Tantangara (NSW and ACT) 1:100 000 geological map. Canberra: Bureau of Mineral Resources.
  • Pearce, J. and Ferrier, S., 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133, 225–245. doi:10.1016/S0304-3800(00)00322-7.
  • Pearce, J. and Lindenmayer, D., 1998. Bioclimatic analysis to enhance reintroduction biology of the endangered helmeted honeyeater (Lichenostomus melanops cassidix) in southeastern Australia. Restoration Ecology, 6, 238–243. doi:10.1046/j.1526-100X.1998.00636.x.
  • Pearson, R.G., 2007. Species’ distribution modelling for conservation educators and practitioners. Synthesis [ online]. American Museum of Natural History. Available from: http:\\ncep.amnh.org [Accessed 10 August 2010].
  • Pearson, R.G. and Dawson, T.P., 2004. Bioclimate envelope models: what they detect and what they hide — response to Hampe (2004). Global Ecology and Biogeography, 13, 471–473. doi:10.1111/geb.2004.13.issue-5.
  • Pearson, R.G., Dawson, T.P., and Liu, C., 2004. Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography, 27, 285–298. doi:10.1111/eco.2004.27.issue-3.
  • Pereira, H.M., et al., 2010. Scenarios for global biodiversity in the 21st century. Science, 330, 1496–1501. doi:10.1126/science.1196624.
  • Perrings, C., et al., 2006. Biodiversity in agricultural landscapes: saving natural capital without losing interest. Conservation Biology, 20, 263–264. doi:10.1111/j.1523-1739.2006.00390.x.
  • Phillips, S.J., 2017. A brief tutorial on Maxent [ online]. Available from: http://biodiversityinformatics.amnh.org/open_source/maxent/[Accessed 20 July 2017].
  • Phillips, S.J., Dudík, M., and Schapire, R.E., 2004. A maximum entropy approach to species distribution modeling. Proceedings of the twenty-first international conference on Machine learning, Banff, Alberta, Canada, 83–83.
  • Raxworthy, C.J., et al., 2003. Predicting distributions of known and unknown reptile species in Madagascar. Nature, 426, 837–841. doi:10.1038/nature02205.
  • Rehwinkel, R., 2007. A method to assess grassy ecosystem sites: using floristic information to assess a site’s quality. Queanbeyan, NSW: New South Wales Department of Environment and Climate Change.
  • Richardson, S.J. and Barron, L., 1977. Michelago 1:100 000 geological sheet 8726. Sydney: Geological Survey of New South Wales.
  • Sillero, N., 2011. What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods. Ecological Modelling, 222, 1343–1346. doi:10.1016/j.ecolmodel.2011.01.018.
  • Sillero, N. and Gonçalves-Seco, L., 2014. Spatial structure analysis of a reptile community with airborne LiDAR data. International Journal of Geographical Information Science, 28, 1709–1722. doi:10.1080/13658816.2014.902062.
  • Stuwe, J. and Parsons, R.F., 1977. Themeda australis grasslands on the Basalt Plains, Victoria: floristics and management effects. Austral Ecology, 2, 467–476. doi:10.1111/aec.1977.2.issue-4.
  • Swenson, N.G., 2008. The past and future influence of geographic information systems on hybrid zone, phylogeographic and speciation research. Journal of Evolutionary Biology, 21, 421–434. doi:10.1111/jeb.2008.21.issue-2.
  • Van Manen, F.T., et al., 2005. Habitat models to assist plant protection efforts in Shenandoah National Park, Virginia, USA. Natural Areas Journal, 25, 339–350.
  • Warren, D., 2013. ‘Niche modeling’: that uncomfortable sensation means it’s working. A reply to McInerny and Etienne. Trends in Ecology & Evolution, 28, 193. doi:10.1016/j.tree.2013.02.003.
  • Warren, D.L., 2012. In defense of ‘niche modeling’. Trends in Ecology & Evolution, 27, 497–500. doi:10.1016/j.tree.2012.03.010.
  • Webb, J.K., Harlow, P.S., and Pike, D.A., 2014. Australian reptiles and their conservation. In: A. Stow, N. Maclean, and G.I. Holwell, eds. Austral ark: the state of wildlife in Australia and New Zealand. Cambridge, UK: Cambridge University Press, 354–381.
  • Wilson, J.W., et al., 2013. The relative contribution of terrain, land cover, and vegetation structure indices to species distribution models. Biological Conservation, 164, 170–176. doi:10.1016/j.biocon.2013.04.021.
  • Wong, D. and Osborne, W., 2010. Confirmatory surveys for pink-tailed worm lizards (Aprasia parapulchella) and additional mapping of habitat along the Molonglo river corridor between Coppins Crossing and Tuggeranong Parkway, ACT. Report commissioned by ACT Planning and Land Authority. Canberra: Institute for Applied Ecology, University of Canberra.
  • Wong, D.T.Y., et al., 2011. The life history and ecology of the pink-tailed worm-lizard Aprasia parapulchella Kluge - a review. The Australian Zoologist, 35, 927–940. doi:10.7882/AZ.2011.045.
  • Wong, D.T.Y., 2013. Environmental factors affecting the occurrence and abundance of the pink-tailed worm-lizard (Aprasia parapulchella) in the Australian Capital Territory. PhD thesis. University of Canberra.
  • Xu, T. and Hutchinson, M., 2011. ANUCLIM version 6.1 user guide [ online]. [Accessed 27 July 2017].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.