Using unclassified continuous remote sensing data to improve distribution models of red-listed plant species

Biodiversity and Conservation

Volumn 22, Issue 8, 2013, Pages 1731-1754

  Parviainen, Miia ^a   Zimmermann, Niklaus E ^b   Heikkinen, Risto K ^c   Luoto, Miska ^d  

^a UNIVERSITY OF OULU   (Finland)

^b SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^c FINNISH ENVIRONMENT INSTITUTE   (Finland)

^d UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Endangered plant species; GAM; High latitude landscape; Landsat ETM+; Predictive modelling; Productivity; Remote sensing

Indexed keywords

BIODIVERSITY; COST-BENEFIT ANALYSIS; ENDANGERED SPECIES; LANDSAT THEMATIC MAPPER; LATITUDE; MIRE; MODEL VALIDATION; NDVI; NUMERICAL MODEL; PLANT COMMUNITY; RARITY; RED LIST; REMOTE SENSING; SATELLITE DATA; SPATIAL DISTRIBUTION; SPECIES CONSERVATION; TOPOGRAPHIC MAPPING; VEGETATION MAPPING;

FINLAND;

EID: 84880065736     PISSN: 09603115     EISSN: 15729710     Source Type: Journal    
DOI: 10.1007/s10531-013-0509-1     Document Type: Article

References (129)

1. Ahti T, Hämet-Ahti L, Jalas J (1968) Vegetation zones and their sections in northwestern Europe. Annales Botanici Fennici 5: 169-211.
2. Akaike H (1974) A new look at statistical model identification. IEEE Trans Autom Control AU-19: 716-722.
3. Araújo MB, Guisan A (2006) Five (or so) challenges for species distribution modelling. J Biogeogr 33: 1677-1688.
4. Araújo MB, Pearson RG, Thuiller W, Erhard M (2005) Validation of species-climate impact models under climate change. Glob Change Biol 11: 1504-1513.
5. Astorga A, Heino J, Luoto M, Muotka T (2011) Freshwater biodiversity at regional extent: determinants of macroinvertebrate taxonomic richness in headwater streams. Ecography 34: 705-713.
6. Atlas of Finland (1987) Climate, Folio 131. National Board of Survey & Geographical Society of Finland, Helsinki.
7. Atlas of Finland (1990) Geology, Folio 123-126. National Board of Survey & Geographical Society of Finland, Helsinki.
8. Austin MP (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol Model 157: 101-118.
9. Austin M (2007) Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecol Model 200: 1-19.
10. Austin M, Meyers JA (1996) Current approaches to modelling the environmental niche of eucalypts: implication for management of forest biodiversity. For Ecol Manage 85: 95-106.
11. Austin MP, van Niel KP (2011a) Impact of landscape predictors on climate change modelling of species distributions: a case study with Eucalyptus fastigata in southern New South Wales, Australia. J Biogeogr 38: 9-19.
12. Austin MP, van Niel KP (2011b) Improving species distribution models for climate change studies: variable selection and scale. J Biogeogr 38: 1-8.
13. Bartel RA, Sexton JO (2009) Monitoring habitat dynamics for rare and endangered species using satellite images and niche-based models. Ecography 32: 888-896.
14. Bonan GB, Shugart HH (1989) Environmental factors and ecological processes in boreal forests. Annu Rev Ecol Syst 20: 1-28.
15. 2 flux. Vegetatio 80: 71-89.
16. Buermann W, Saatchi S, Smith TB, Zutta BR, Chaves JA, Milá B, Graham CH (2008) Predicting species distributions across the Amazonian and Andean regions using remote sensing data. J Biogeogr 35: 1160-1176.
17. Carroll C, Johnson DS (2008) The importance of being spatial (and reserved): assessing northern spotted owl habitat relationships with hierarchical Bayesian models. Conserv Biol 22: 1026-1036.
18. Cohen WB, Spies TA, Fiorella M (1995) Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, USA International. J Remote Sens 16: 721-746.
19. Cord A, Rödder D (2011) Inclusion of habitat availability in species distribution models through multi-temporal remote-sensing data? Ecol Appl 21: 3285-3298.
20. Cramer W, Kicklighter DW, Bondeau A, Moore B, Churkina C, Nemry B, Ruimy A, Schloss AL (1999) Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Glob Change Biol 5: 1-15.
21. Crist EP (1985) A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sens Environ 17: 301-306.
22. Crist EP, Cicone RC (1984) A physically-based transformation of thematic mapper data-the TM tasseled cap. IEEE Trans Geosci Remote Sens 22: 256-263.
23. Currie DJ (1991) Energy and large-scale patterns of animal- and plant-species richness. Am Nat 137: 27-49.
24. de Siqueira MF, Durigan G, De Marco P Jr, Peterson AT (2009) Something from nothing: using landscape similarity and ecological niche modeling to find rare plant species. J Nat Conserv 17: 25-32.
25. Dymond CC, Mladenoff DJ, Radeloff VC (2002) Phenological differences in tasseled cap indices improve deciduous forest classification. Remote Sens Environ 80: 460-472.
26. Ekstrand S (1996) Landsat TM-based forest damage assessment: correction for topographic effects. Photogramm Eng Remote Sens 62: 151-161.
27. Elith J, Leathwick JR (2009a) Conservation prioritization using species distribution models. In: Moilanen A, Wilson KA, Possingham HP (eds) Spatial conservation prioritization: quantitative methods and computational tools. Oxford University Press, Oxford, pp 70-93.
28. Elith J, Leathwick JR (2009b) Species distribution models: ecological explanation and prediction across space and time. Annu Rev Ecol Evol Syst 40: 677-697.
29. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JM, Peterson AT, Phillips SJ, Richardson KS, Scachetti-Pereira R, Schapire RE, Soberón J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29: 129-151.
30. ESRI (1991) ARC/INFO user's guide Cell-based modelling with GRID analysis, display and management. California, Environment Systems Research Institute, Inc, Redlands.
31. Fernandez N, Delibes M, Palomares F (2006) Landscape evaluation in conservation: molecular sampling and habitat modeling for the Iberian lynx. Ecol Appl 16: 1037-1049.
32. Fielding A, Bell J (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24: 38-49.
33. Foody GM, Cutler MEJ (2003) Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing. J Biogeogr 30: 1053-1066.
34. Franklin J (1995) Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog Phys Geogr 19: 474-499.
35. Gessler PE, Chadwick OA, Chamran F, Althouse L, Holmes K (2000) Modeling soil-landscape and ecosystem properties using terrain attributes. Soil Sci Soc Am J 64: 2046-2056.
36. Gillespie TW, Foody GM, Rocchini D, Giorgi AP, Saatchi S (2008) Measuring and modelling biodiversity from space. Prog Phys Geogr 32: 203-221.
37. Gould WA (2000) Remote sensing of vegetation, plant species richness, and regional diversity hotspots. Ecol Appl 10: 1861-1870.
38. Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecol Lett 8: 993-1009.
39. Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135: 147-186.
40. Guisan A, Theurillat JP, Kienast F (1998) Predicting the potential distribution of plant species in an alpine environment. J Veg Sci 9: 65-74.
41. Guisan A, Edwards TCJ, Hastie T (2002) Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecol Model 157: 89-100.
42. Guisan A, Broennimann O, Engler R, Vust M, Yoccoz NG, Lehmann A, Zimmermann NE (2006) Using niche-based models to improve the sampling of rare species. Conserv Biol 20: 501-511.
43. Guisan A, Zimmermann NE, Elith J, Graham CH, Phillips S, Peterson AT (2007) What matters for predicting the occurrences of trees: techniques, data, or species' characteristics? Ecol Monogr 77: 615-630.
44. H-Acevedo D, Currie DJ (2003) Does climate determine broad-scale patterns of species richness? A test of the causal link by natural experiment. Glob Ecol Biogeogr 12: 461-473.
45. Härmä P, Teiniranta R, Törmä M, Repo R, Järvenpää E, Kallio M (2004) Production of CORINE2000 land cover data using calibrated LANDSAT 7 ETM satellite image mosaics and digital maps in Finland. In: IEEE International Geoscience and Remote Sensing Symposium, 20-24 Sept 2004, Anchorage, Alaska, IEEE.
46. Hastie T, Tibshirani R (1990) Generalized additive models. Chapman and Hall, London.
47. Heikkinen O (2005) Boreal forests and northern upper timberlines. In: Seppälä M (ed) The physical geography of fennoscandia. Oxford University Press, Oxford, pp 185-200.
48. Heikkinen RK, Birks HJB, Kalliola RJ (1998) A numerical analysis of the mesoscale distribution patterns of vascular plants in the Kevo Nature Reserve, northern Finland. J Biogeogr 25: 123-146.
49. Heikkinen RK, Luoto M, Araújo MB, Virkkala R, Thuiller W, Sykes MT (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Prog Phys Geogr 30: 751-777.
50. Heikkinen RK, Marmion M, Luoto M (2012) Does the interpolation accuracy of species distribution models come at the expense of transferability? Ecography 35: 276-288.
51. Hjort J, Luoto M (2006) Modelling patterned ground distribution in Finnish Lapland: an integration of topographical, ground and remote sensing information. Geografiska Annaler 88A: 19-29.
52. Huang C, Wylie B, Yang L, Homer C, Zylstra G (2002) Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. Int J Remote Sens 23: 1741-1748.
53. Huntley B (1995) Plant species' response to climate change: implications for the conservation of European birds. Ibis 137(Supplement 1): 127-138.
54. Huntley B, Berry PM, Cramer W, McDonald AP (1995) Modelling present and potential future ranges of some European higher plants using climate response surfaces. J Biogeogr 22: 967-1001.
55. Jimenez-Valverde A, Lobo JM (2007) Threshold criteria for conversion of probability of species presence to either-or presence-absence. Acta Oecol 31: 361-369.
56. John R, Chen J, Lu N, Guo K, Liang C, Wei Y, Noormets A, Ma K, Han X (2008) Predicting plant diversity based on remote sensing products in the semi-arid region of Inner Mongolia. Remote Sens Environ 112: 2018-2032.
57. Karka S, van Rensburgb BJ (2006) Ecotones: marginal or central areas of transition? Israel J Ecol Evol 52: 29-53.
58. Kerr J, Ostrovsky M (2003) From space to species: ecological applications for remote sensing. Trends Ecol Evol 18: 299-305.
59. Kivinen S, Luoto M, Heikkinen RK, Saarinen K, Ryttäri T (2008) Threat spots and environmental determinants of red-listed plant, butterfly and bird species in boreal agricultural environments. Biodivers Conserv 17: 3289-3305.
60. Lehmann A, Overton J, Leathwick J (2002) GRASP: generalized regression analysis and spatial prediction. Ecol Model 157: 189-207.
61. Levin N, Shmida A, Levanoni O, Tamari H, Kark S (2007) Predicting mountain plant richness and rarity from space using satellite-derived vegetation indices. Divers Distrib 13: 692-703.
62. Loiselle BA, Howell CA, Graham CH, Goerck JM, Brooks T, Smith KG, Williams PH (2003) Avoiding pitfalls of using species distribution models in conservation planning. Conserv Biol 17: 1591-1600.
63. Luoto M, Toivonen T, Heikkinen RK (2002) Prediction of total and rare plant species richness in agricultural landscapes from satellite images and topographic data. Landsc Ecol 17: 195-217.
64. Luoto M, Pöyry J, Heikkinen RK, Saarinen K (2005) Uncertainty of bioclimate envelope models based on geographical distribution of species. Glob Ecol Biogeogr 14: 575-584.
65. Maggini R, Lehmann A, Zimmermann NE, Guisan A (2006) Improving generalized regression analysis for the spatial prediction of forest communities. J Biogeogr 33: 1729-1749.
66. Manel S, Williams HC, Ormerod SJ (2001) Evaluating presence-absence models in ecology: the need to account for prevalence. J Appl Ecol 38: 921-931.
67. McPherson JM, Jetz W (2007) Effect of species' ecology on the accuracy of distribution models. Ecography 30: 135-151.
68. Muldavin EH, Neville P, Harper G (2001) Indices of grassland biodiversity in the Chihuahuan desert ecoregion derived from remote sensing. Conserv Biol 15: 844-855.
69. Myneni RB, Hall FG, Sellers PJ, Marshak AL (1995) The interpretation of spectral vegetation indexes. IEEE Trans Geosci Remote Sens 33: 481-486.
70. Nagendra H (2001) Using remote sensing to assess biodiversity. Int J Remote Sens 22: 2377-2400.
71. Newbold T (2010) Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models. Prog Phys Geogr 34: 3-22.
72. Palmer MW, Earls P, Hoagland BW, White PS, Wohlgemuth T (2002) Quantitative tools for perfecting species lists. Environmetrics 13: 121-137.
73. Parra JL, Graham CC, Freile JF (2004) Evaluating alternative data sets for ecological niche models of birds in the Andes. Ecography 27: 350-360.
74. Parviainen M, Luoto M, Ryttäri T, Heikkinen RK (2008) Modelling the occurrence of threatened plant species in taiga landscapes: methodological and ecological perspectives. J Biogeogr 35: 1888-1905.
75. Parviainen M, Luoto M, Heikkinen RK (2009) The role of local and landscape level productivity in modelling of boreal plant species richness. Ecol Model 220: 2690-2701.
76. Parviainen M, Luoto M, Heikkinen RK (2010) NDVI -based productivity and heterogeneity as indicators of species richness in boreal landscapes. Boreal Environ Res 15: 301-318.
77. Pausas JG, Carreras J, Ferre A, Font X (2003) Coarse-scale plant species richness in relation to environmental heterogeneity. J Veg Sci 14: 661-668.
78. Pearce JL, Boyce MS (2006) Modelling distribution and abundance with presence-only data. J Appl Ecol 43: 405-412.
79. Pearson RG (2007) Species' distribution modeling for conservation educators and practitioners. Synthesis. American Museum of Natural History http://ncepamnhorg.
80. Pearson RG, Dawson TP, Liu C (2004) Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography 27: 285-298.
81. Peterson AT (2003) Projected climate change effects on Rocky Mountain and Great Plain birds: generalities on biodiversity consequences. Glob Change Biol 9: 647-655.
82. Ponder WF, Carter GA, Flemons P, Chapman RR (2001) Evaluation of museum collection data for use in biodiversity assessment. Conserv Biol 15: 648-657.
83. Pöyry J, Luoto M, Heikkinen RK, Saarinen K (2008) Species traits are associated with the quality of bioclimatic models. Glob Ecol Biogeogr 17: 403-414.
84. Randin CF, Dirnböck T, Dullinger S, Zimmerman NE, Zappa M, Guisan A (2006) Are niche-based species distribution models transferable in space. J Biogeogr 33: 1689-1703.
85. Rassi P, Hyvärinen E, Juslén A, Mannerkoski I (eds) (2010) The 2010 red list of Finnish species. Ministry of the Environment & Finnish Environment Institute, Helsinki.
86. Raynolds MK, Walker DA, Maier HA (2006) NDVI patterns and phytomass distribution in the circumpolar Arctic. Remote Sens Environ 102: 271-281.
87. Redpath SM, Young J, Evely A, Adams WM, Sutherland WJ, Whitehouse A, Amar A, Lambert RA, Linnell JD, Watt A, Gutiérrez RJ (2013) Understanding and managing conservation conflicts. Trends Ecol Evol 28: 100-109.
88. Reed BC, Brown JF, VanderZee D, Loveland TR, Merchant JW, Ohlen DO (1994) Measuring phenological variability from satellite imagery. J Veg Sci 5: 703-714.
89. Rocchini D, Chiarucci A, Loiselle SA (2004) Testing the spectral variation hypothesis by using satellite multispectral images. Acta Oecol 26: 117-120.
90. Rocchini D, Balkenhol N, Carter GA, Foody GM, Gillespie TW, He KS, Kark S, Levin N, Lucas K, Luoto M, Nagendra H, Oldeland J, Ricotta C, Southworth J, Neteler M (2010) Remotely sensed spectral heterogeneity as a proxy of species diversity: recent advances and open challenges. Ecol Inform 5: 318-329.
91. Rogers AS, Kearney MS (2004) Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices. Int J Remote Sens 25: 2317-2335.
92. Roura-Pascual N, Suarez AV, McNyset K, Gómez K, Pons P, Touyama Y, Wild A, Gascon F, Peterson AT (2006) Niche differentiation and fine-scale projections for Argentine ants based on remotely sensed data. Ecol Appl 16: 1832-1841.
93. Rouse JW Jr, Hass RH, Deering DW, Schell JA, Harlan JC (1973) Monitoring the vernal advancement and retrogression (green wave effect) of natural vegetation NASA/GSFC Type III Final report Geenbelt, Maryland.
94. Rushton SP, Ormerod SJ, Kerby G (2004) New paradigms for modelling species distributions? J Appl Ecol 41: 193-200.
95. Ryttäri T, Kettunen T (1997) Uhanalaiset kasvimme. Tampere, Suomen Ympäristökeskus, Kirjayhtymä Oy.
96. Saatchi S, Buermann W, ter Steege H, Mori S, Smith TB (2008) Modeling distribution of Amazonian tree species and diversity using remote sensing measurements. Remote Sens Environ 112: 2000-2017.
97. Sala OE, Chapin FSI, Armesto JJ, Berlow E, Bloomfield J, Dirzo R (2000) Global biodiversity scenarios for the year 2100. Science 287: 1770-1774.
98. Schmidtlein S, Feilhauer H, Bruelheide H (2012) Mapping plant strategy types using remote sensing. J Veg Sci 23: 395-405.
99. Schwarz M, Zimmermann NE (2005) A new GLM-based method for mapping tree cover continuous fields using MODIS reflectance data. Remote Sens Environ 95: 428-443.
100. Seoane J, Vinuela J, Díaz-Delgado R, Bustamante J (2003) The effects of land use and climate on red kite distribution in the Iberian peninsula. Biol Conserv 11: 401-414.
101. Seoane J, Carrascal LM, Alonso CL, Palomino D (2005) Species-specific traits associated to prediction errors in bird habitat suitability modelling. Ecol Model 185: 299-308.
102. Seto KC, Fleishman E, Fay JP, Betrus CJ (2004) Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI. Int J Remote Sens 25: 4309-4324.
103. Settele J, Hammen V, Hulme P, Karlson U, Klotz S, Kotarac M, Kunin W, Marion G, O'Connor M, Petanidou T, Peterson K, Potts S, Pritchard H, Pysek P, Rounsevell M, Spangenberg J, Steffan-Dewenter I, Sykes M, Vighi M, Zobel M, Kuhn I (2005) Alarm: assessing Large-scale environmental Risks for biodiversity with tested Methods GAIA. Ecol Perspect Sci Soc 14: 69-72.
104. Skakun RS, Wulder MA, Franklin SE (2003) Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage. Remote Sens Environ 86: 433-443.
105. Skov F, Svenning J-C (2004) Potential impact of climatic change on the distribution of forest herbs in Europe. Ecography 27: 366-380.
106. Söyrinki N, Saari V (1980) Die Flora von Oulanka Nationalpark, Nordfinnland. Acta Botanica Fennica 114: 1-149.
107. Thuiller W (2003) BIOMOD-optimizing predictions of species distributions and projecting potential future shifts under global change. Glob Change Biol 9: 1353-1362.
108. Thuiller W, Araújo MB, Lavorel S (2004) Do we need land-cover data to predict species distributions in Europe? J Biogeogr 31: 353-361.
109. Thuiller W, Lavorel S, Araújo MB (2005) Niche properties and geographical extent as predictors of species sensitivity to climate change. Glob Ecol Biogeogr 14: 347-357.
110. Thuiller W, Albert C, Araújo MB, Berry PM, Cabeza M, Guisan A, Hickler T, Midgley GF, Paterson J, Schurr FM, Sykes MT, Zimmermann NE (2008) Predicting global change impacts on plant species' distributions: future challenges. Perspect Plant Ecol Evol Syst 9: 137-152.
111. Tucker CJ (1978) A comparison of satellite sensor bands for vegetation monitoring. Photogramm Eng Remote Sens 44: 1369-1380.
112. Tucker CJ (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8: 127-150.
113. Turner W, Spector S, Gardiner N, Fladeland M, Sterling E, Steininger M (2003) Remote sensing for biodiversity science and conservation. Trends Ecol Evol 18: 306-314.
114. Vajda A, Venäläinen A (2003) The influence of natural conditions on the spatial variation of climate in Lapland, northern Finland. Int J Climatol 23: 1011-1022.
115. Vasari Y, Tonkov S, Vasari A, Nikolova A (1996) The Late-quaternary history of the vegetation and flora in northeastern Finland in the light of a re-investigation of Aapalampi in Salla. Auqilo Ser Botany 36: 27-41.
116. Venables WN, Ripley BD (2002) Modern applied statistics with S. Springer-Verlag, Berlin.
117. Venäläinen A, Heikinheimo M (2002) Meteorological data for agricultural applications. Phys Chem Earth 27: 1045-1050.
118. Virkkala R, Luoto M, Heikkinen RK, Leikola N (2005) Distribution patterns of boreal marshland birds: modelling the relationships to land cover and climate. J Biogeogr 32: 1957-1970.
119. Wang K, Franklin SE, Guo X, Cattet M (2010) Remote sensing of ecology, biodiversity and conservation: a review from the perspective of remote sensing specialists. Sensors 10: 9647-9667.
120. Weiers S, Bock M, Wissen M, Rossner G (2004) Mapping and indicator approaches for the assessment of habitats at different scales using remote sensing and GIS methods. Landsc Urban Plan 67: 43-65.
121. Wilson CD, Roberts D, Reid N (2010) Applying species distribution modelling to identify areas of high conservation value for endangered species: A case study using Margaritifera margaritifera (L.). Biol Conserv 144: 821-829.
122. Wood S, Augustin N (2002) GAMs with integrated model selection using penalized regression splines and applications to environmental modelling. Ecol Model 157: 157-177.
123. Wright DH, Currie DJ, Maurer BA (1993) Energy supply and patterns of species richness on local and regional scales. In: Ricklefs RE, Schluter D (eds) Species diversity in ecological communities: historical and geographical perspectives. University of Chicago Press, Chicago, pp 66-74.
124. Wu XB, Smeins FE (2000) Multiple-scale habitat modeling approach for rare plant conservation. Landsc Urban Plan 51: 11-28.
125. Yee TW, Mitchell ND (1991) Generalized additive models in plant ecology. J Veg Sci 2: 587-602.
126. Young J, Watt A, Nowicki P, Alard D, Clitherow J, Henle K, Johnson R, Laczko E, McCracken D, Matouch S, Niemelä J, Richards C (2005) Towards sustainable land use: identifying and managing conflicts between human activities and biodiversity conservation in Europe. Biodivers Conserv 14: 1641-1661.
127. Zaniewski AE, Lehmann A, Overton JM (2002) Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecol Model 157: 261-280.
128. Zimmermann NE, Edwards TC, Moisen GG, Frescino TS, Blackard JA (2007) Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah. J Appl Ecol 44: 1057-1067.
129. Zimmermann NE, Edwards TC, Graham CH, Pearman PB, Svenning J-C (2010) New trends in species distribution modelling. Ecography 33: 985-989.