Optimisation of Ensemble Modeling Approach for Studying Climatic Niche and Conservation Status Assessment for Endemic Taxa
Energy and Wetlands Research Group, Centre for Ecological Sciences [CES], Indian Institute of Science, Bangalore – 560012, India.
Web URL: http://ces.iisc.ernet.in/energy; http://ces.iisc.ernet.in/foss
E-Mail: rajasri.ces@gmail.com, cestvr@ces.iisc.ernet.in
References
  1. Alfaro, B.J, Draper, D, Bravo, D.N, 2012, Modeling the potential area of occupancy at fine resolution may reduce uncertainty in species range estimates. Biol. Conserv. 147: 190–196
  2. Anonymous, 2007, Wetlands of Kerala. In: Yesodharan EP. ed. State of the Environment Report of Kerala. Vol.1. Kerala State Council for Science, Technology and Environment, SasthraBhavan, Pattom, Thiruvananthapuram, Kerala-695004, pp – 85-184.
  3. Anonymous, 2010, IUCN Standards and Petitions Subcommittee. Guidelines for Using the IUCN Red List Categories and Criteria. Version 8.0(March 2010). Downloadable from: http://intranet.iucn.org/webfiles/doc/SSC/RedList/RedListGuidelines.pdf.
  4. Anu, A, Sabu, T.K, Vineesh, P.J, 2009, Seasonality of litter insects and relationship with rainfall in a wet evergreen forest in south Western Ghats. Jour. Insect. Sci. DOI: http://dx.doi.org/10.1673/031.009.4601 First published online: 24 June 2009
  5. Araujo, M.B, Guisan, A, 2006, Five (or so) challenges for species distribution modeling. Jour. Biogeography33: 1677–1688.
  6. Attorre, F, Sanctis, M.D, Farcomeni, A, Guillet, E, Scepi, M, et al., 2013, The   use   of   spatial   ecological   modelling   as   a   tool   for   improving   the   assessment   of geographic   range   size   of   threatened   species. Jour. Nature Conserv. 21: 48 –  55.
  7. Bawa, K.S, Das, A, Krishnaswamy, J, Karanth, U, Kumar, N.S, Rao, M, 2007, Ecosystem Profile - Western Ghats & Sri Lanka biodiversity hotspot: Western Ghats Region. Critical Ecosystem Partnership Fund, Conservation International, USA
  8. Bonn, A, Rodrigues, A.S.L, Gaston, K.J, 2002, Threatened and endemic species: are they good indicators of patterns of biodiversity on a national scale? Ecol. Letters, 5: 733–741.
  9. Bourdillon,  T.F, 1908,  The  Forest  Trees  of  Travancore.  The Travancore Government Press, Trivandrum. pp. 238-239
  10. Brito, J.C, Acosta, A.L, Álvares, F, Cuzin, F, 2009, Biogeography and conservation of taxa from remote regions: An application of ecological-niche based models and GIS to North-African Canids. Biol. Conserv. 142: 3020-3029
  11. Brotons, L, Thuiller, W, Araujo, M. B, Hirzel, A.H, 2004, Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography27: 437 -448
  12. Buisson, L, Thuiller, W, Casajus, N, Lek, S, Grenouillet, G, 2010,  Uncertainty in ensemble forecasting of species distribution. Global Change Biol.16: 1145–1157.
  13. Burlakova, L.E, Karatayev, A.Y, Karatayev, V.A, May, M.E, Bennett, D.L, Cook, M.J, 2011, Endemic species: Contribution to community uniqueness, effect of habitat alteration, and conservation priorities. Biol. Conserv. 144: 155–165.
  14. Chandran, M.D.S, Mesta, D.K, Rao, G.R, Ali, S, Gururaja, K.V, Ramachandra, T.V, 2008, Discovery of two critically endangered tree species and issues related to relic forests of the Western Ghats. Open Conserv. Biol. Jour.2: 1-8
  15. Chandran, M.D.S, Rao, G.R, Gururaja, K.V, Ramachandra, T.V, 2010, Ecology of the Swampy Relic Forests of Kathalekan from Central Western Ghats, India. Bioremediation, Biodiversity and Bioavailability4 (Special Issue I), Global Science Books, 54-68.
  16. Coetzee, B.W.T, Robertson, M.P, Erasmus, B.F.N, Rensburg, B.J, Thuiller, W, 2009, Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change. Global Ecol. Biogeography, 18: 701–710
  17. Duputié, A, Zimmermann, N.E, Chuine, I, 2013, Where are the wild things? Why we need better data on species distribution. Global Ecol. Biogeography, DOI: 10.1111/geb.12118
  18. Engler, R, Guisan, A, Rechsteiner, L, 2004, An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Jour. Appl. Ecol.41: 263 – 274
  19. Engler, R, Randin, C.F, Thuiller, W, Dullinger, S, Zimmermann, N.E, et al., 2011, 21st century climate change threatens mountain flora unequally across Europe. Global Change Biol.17: 2330–2341. doi: 10.1111/j.1365-2486.2010.02393.x
  20. Franklin, D.C, Preece, N.D, 2014, The Eucalypts of Northern Australia:  An Assessment of the Conservation Status of Taxa and Communities.  A report to Kimberley to Cape and the Environment Centre NT.
  21. Gamble, J.S, 1935, Flora of the Presidency of Madras, Adlard and Son, Ltd., London, 1: 477- 480.
  22. Graham, C.H, Elith, J, Hijmans, R.J, Guisan, A, Peterson, A.T, Loiselle, A.T, 2008, The influence of spatial errors in species occurrence data used in distribution models. Jour. Appl. Ecol. 45, 239–247.
  23. Hernandez, P.A, Franke, I, Herzog, S.K, Pacheco, V, Paniagua, L, et al., 2008, Predicting species distributions in poorly-studied landscapes.  Biodivers. Conserv. 17:1353–1366.
  24. Hijmans, R.J, Cameron, S.E, Parra, J.L, Jones, P.G, Jarvis, A, 2005, Very high resolution interpolated climate surfaces for global land areas. Int. Jour. Climatol. 25:1965–1978
  25. Irfan-Ullah, M, Giriraj, A, Murthy, M.S.R, Peterson, A.T, 2007, Mapping the geographic distribution of Aglaia bourdillonii Gamble (Meliaceae), an endemic and threatened plant, using ecological niche modeling. Biodivers. Conserv.  16:1917–1925
  26. IUCN.,2015, The IUCN Red List of Threatened Species. Version 2014.3. <www.iucnredlist.org>. Downloaded on 10 April 2015.
  27. Li Xinhai, Huidong, T, Wang, Y, Li, R, Song, Z, Zhang, F, Xu, M, Li, D, 2013, Vulnerability of 208 endemic or endangered species in China to the effects of climate change. Regional Environmental Change13:843–852
  28. Lobo, J.M, Jime´nez-Valverde, A, Hortal, J, 2010, The uncertain nature of absences and their importance in species distribution modelling. Ecography33: 103-114
  29. Loiselle, B.A, Howell, C.A, Graham, C.H, Goerck, J.M, Brooks, T, et al., 2003, Avoiding pitfalls of using species distribution models in conservation planning. Conserv. Biol. 17: 1591–1600.
  30. Lomba, A, Pellissier, L, Randin, C, Vicente, J, Moreira, F, Honrado, J, Guisan, A, 2010, Overcoming the rare species modelling paradox: A novel hierarchical framework applied to an Iberian endemic plant. Biol. Conserv. 143: 2647–2657.
  31. Luoto, M, Pöyry, J, Heikkinen, R.K, Saarinen, K, 2005, Uncertainty of bioclimate envelope models based on the geographical distribution of species. Global Ecol. Biogeography14: 575–584.
  32. Marcer, A, Sáez, L, Horas, R.M, Pons, X, Pino, J, 2013, Using species distribution modelling to disentangle realised versus potential distributions for rare species conservation. Biol. Conserv. 166: 221–230
  33. Marini, M.A, Massin, M.B, Lopes, L.E, Jiguet, F, 2010, Predicting the occurrence of rare Brazilian birds with species distribution models. Jour. Ornithol. 151:857–866
  34. Marmion, M, Luoto, M, Heikkinen, R.K, Thuiller, W, 2009, The performance of state-of-the-art modelling techniques depends on geographical distribution of species. Ecol. Modelling220: 3512–3520.
  35. Massin, M.B, Jiguet, F, Albert, C.H, Thuiller, W, 2012, Selecting pseudo-absences for species distribution models: how, where and how many? Methods Ecol. Evol. doi: 10.1111/j.2041-210X.2011.00172.x
  36. Mateo, R.G, Croat, T.B, Felicısimo, A.M, Munoz, J, 2010, Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Divers. Distribution, 16, 84–94
  37. Myers, N, Mittermeier, R.A, Mittermeier, C.G, Fonseca, G.A.B, Kent, J, 2000, Biodiversity hotspots for conservation priorities. Nature, 403: 853-858. 
  38. Moat, J, 2007, Conservation Assessment Tools Extension for ArcView 3.x, Version 1.2. GIS Unit. Royal Botanic Gardens, Kew, UK, Available at http://www.kew.org/gis/projects/cats/index.html.
  39. Nair, P.V, Ramachandran, K.K, Swarupanandan, K, Thomas, T.P, 2007, Mapping Biodiversity of the Myristica Swamps in Southern Kerala. Kerala Forest Research Institute, Peechi 680653, Kerala, India
  40. Ortega-Huerta, M.A, Peterson, A.T, 2004, Modelling spatial patterns of biodiversity for conservation prioritization in North-eastern Mexico. Divers. Distribution10: 39–54.
  41. Papes, M, Gaubert, P, 2007, Modelling ecological niches from low numbers of occurrences: assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents. Divers. Distribution13: 890–902
  42. Pascal, J.P, Ramesh, B.R, 1997, Atlas of endemics of the Western Ghats (India): Distribution of tree species in the evergreen and semi-evergreen forests. Institut Francais de Pondichery, PB33, Pondichery 605001, India.
  43. Pearson, R.G, Raxworthy, C.G, Nakamura, M, Peterson, A.T, 2007,  Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Jour. Biogeography34: 102–117
  44. Platts, P.J, Garcia, R.A, Hof, C, Foden, W, Hanse, L.A, et al., 2014, Conservation implications of omitting narrow-ranging taxa from species distribution models, now and in the future. Divers. Distributions 1–14. DOI: 10.1111/ddi.12244
  45. Porfirio, L.L, Harris, R.M.B, Lefroy, E.C, Hugh, S, Gould, S.F, et al., 2014, Improving the Use of
    Species Distribution Models in Conservation Planning and Management under Climate Change. PLoS ONE 9(11): e113749. doi:10.1371/journal.pone.0113749
  46. Prabhugaonkar, A, Mesta, D.K, Janarthanam, M.K, 2014,  First report of three redlisted tree species from swampy relics of Goa State, India. Jour.Threatened Taxa6: 5503–5506
  47. Prasad, V.K, Badarinath, K.V.S, Eaturu, A, 2008 Effects of precipitation, temperature and topographic parameters on evergreen vegetation greenery in the Western Ghats, India. Int. Jour. Climatol. 28: 1807 – 1819.
  48. R Development Core Team (2011). R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing
  49. Ray, R, Chandran, M.D.S, Ramachandra, T.V. ,2012, Conservation impact on sacred forest fragments – a case study from Karnataka, India. Indian Forester138: 248-251
  50. Ray, R, Chandran, M.D.S, Ramachandra, T.V, 2014, Socio-cultural protection of endemic trees in humanized landscape. Biodivers. Conserv. 23: 1977-1994 
  51. Roby, T.J, Jose, J, Nair, P.V, 2013, Syzygiumtravancoricum (Gamble) - A critically endangered and endemic tree from Kerala, India- threats, conservation and prediction of potential areas; with special emphasis on myristica swamps as a prime habitat. Int. Jour. Sci, Environ. Tech. 2: 1335 – 1352.
  52. Santos, X, Brito, J.C, Sillero, N, Pleguezuelos, J.M, Llorente, G.A, et al., 2006, Inferring habitat-suitability areas with ecological modelling techniques and GIS: A contribution to assess the conservation status of Viperalatastei. Biol. Conserv. 130: 416 –425
  53. Sasidharan, N, 1997,  Studies on the Flora of Shenduruny Wildlife Sanctuary with emphasis on Endemic species. Kerala Forest Research Institute Research Report No. 128. pp. 125-126.
  54. Se´rgio, C, Figueira, R, Drapera, D, Menezes, R, Sousa, A.J, 2007, Modelling bryophyte distribution based on ecological information for extent of occurrence assessment. Biol. Conserv. 135: 341 – 351
  55. Segurado, P, Araujo, M.B, 2004, An evaluation of methods for modelling species distributions.  Jour.Biogeography31, 1555–1568
  56. Siqueira, M.F, Durigan, G, Ju´nior, P.M, Peterson, A.T, 2009, Something from nothing: Using landscape similarity and ecological niche modeling to find rare plant species. Jour. Nature Conserv. 17: 25—32
  57. Snelder, D, van Weerd, M, van t Zelfde, M, Tamis, W, 2013, Modelling the impact of climate and land use changes on forest bird species for adaptive management of the Northern Sierra Madre Natural Park (Philippines). External Research Report. Institute of Environmental Science, Leiden University. URL: http://hdl.handle.net/1887/20726 
  58. Sousa-Silvaa, R, Alves, P, Honrado, J, Lomba, A, 2014, Improving the assessment and reporting on rare and endangered species through species distribution models. Global Ecol. Conserv. 2: 226–237
  59. Syfert, M.M, Joppa, L, Smith, M.J, Coomes, D.A, Bachman, S.P, Brummitt, N.A, 2014, Using species distribution models to inform IUCN Red List assessments. Biol. Conserv. 177: 174–184.
  60. Thuiller, W, Midgley, G.F, Hughes, G.O, Bomhard, B, Drew, G, Rutherford, M.C, Woodward, F.I, 2006,  Endemic species and ecosystem sensitivity to climate change in Namibia. Global Change Biol. 12:759-776
  61. Thuiller, W, Georges, D, Engler, R, 2013, Package biomod2. http://cran.open-source-solution.org/web/packages/biomod2. Accessed 15 Dec 2015
  62. Willmott, Cort, J, Matsuura, K,2001, Terrestrial Water Budget Data Archive: Monthly Time Series (1950-1999).  Available: http://climate.geog.udel.edu/~climate/html_pages/README.wb_ts2.html.
  63. Wisz MS, Tamstorf MP, Madsen J, Jespersen M (2008) Where might the western Svalbard tundra be vulnerable to pink-footed goose (Anserbrachyrhynchus ) population  expansion? Clues from species distribution models. Divers. Distribution , 14, 26–37
  64. Yannic, G, Pellissier, L, Ortego, J, Lecomte, N, Couturier, S, et al., 2014, Genetic diversity in caribou linked to past and future climate change. Nature Climate Change, 4, 132–137
  65. Yates, C.J, McNeill, A, Elith, J, Midgley, G.F, 2010, Assessing the impacts of climate change and land transformation on Banksia in the South West Australian Floristic Region. Divers. Distribution. 16: 187–201
  66. Zhu, L, Sun, O.J, Sang, W, Li, Z, Ma, K, 2007, Predicting the spatial distribution of an invasive plant species (Eupatorium adenophorum) in China. Landscape Ecol. 22: 1143–1154

 


 

TOP  »  NEXT
Citation :Rajasri Ray and Ramachandra T. V., 2017. Optimisation of Ensemble Modeling Approach for Studying Climatic Niche and Conservation Status Assessment for Endemic Taxa. International Journal of Ecology & Development Year 2017; Volume 32, Issue No. 1; Int. J. Ecol. Dev. ISSN 0972-9984 ( Print ); ISSN 0973-7308 (Online), pp 17-32.
* Corresponding Author :
Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, India.
Tel : +91-80-2293 3099/2293 3503 [extn - 107],      Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,     Web : http://wgbis.ces.iisc.ernet.in/energy, http://ces.iisc.ernet.in/grass