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The DOI matches its Crossref record, with a small difference in title or year; 4 of the 4 references it cites were found in a registry or an index.

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

Elith, Jane, Leathwick, John R.·2009·Annual Review of Ecology, Evolution, and Systematics
DOI 10.1146/annurev.ecolsys.110308.120159
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Abstract

Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary insights and to predict distributions across landscapes, sometimes requiring extrapolation in space and time. SDMs are now widely used across terrestrial, freshwater, and marine realms. Differences in methods between disciplines reflect both differences in species mobility and in “established use.” Model realism and robustness is influenced by selection of relevant predictors and modeling method, consideration of scale, how the interplay between environmental and geographic factors is handled, and the extent of extrapolation. Current linkages between SDM practice and ecological theory are often weak, hindering progress. Remaining challenges include: improvement of methods for modeling presence-only data and for model selection and evaluation; accounting for biotic interactions; and assessing model uncertainty.

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  • Species distribution models (SDMs) are used to predict the distributions of species across regions when sampling is incomplete in ecological and biogeographical studies.

    “Species distribution models (SDMs) are used to predict the distributions of species across regions when sampling is incomplete in ecological and biogeographical studies [41,42]”

    From Potential distributions of pre-columbian people in tropical andean landscapes (2022) · cites this paper as [41]

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Research works printed but not linked: 113

  1. 10.2307/3565770 · DOI
  2. Allen TFH, 1982, Hierarchy: Perspectives for Ecological Complexity
  3. 10.1111/j.1365-2699.2006.01584.x · DOI
  4. 10.1016/j.tree.2006.09.010 · DOI · Paper page
  5. 10.1111/j.1365-2486.2005.01000.x · DOI
  6. 10.1146/annurev.es.16.110185.000351 · DOI
  7. 10.1016/S0304-3800(02)00205-3 · DOI
  8. 10.1016/j.ecolmodel.2006.07.005 · DOI
  9. Austin MP, 1981, Proc. Ecol. Soc. Aust., 11, 109
  10. 10.2307/1943043 · DOI
  11. 10.1111/j.1365-2664.2006.01136.x · DOI
  12. 10.1111/j.1366-9516.2006.00260.x · DOI
  13. 10.3354/cr032151 · DOI
  14. 10.1016/0378-1127(88)90013-8 · DOI
  15. 10.1007/BF00119222 · DOI
  16. 10.1017/S1367943003003044 · DOI
  17. 10.1890/04-0906 · DOI
  18. 10.1890/04-0785 · DOI
  19. Capen DE, ed. 1981. The use of multivariate statistics in studies of wildlife habitat. Gen.Tech. Rep. RM-87 , Rocky Mt. For. Range Exp. Stn., USDA For. Serv. · DOI
  20. Caruana R, Niculescu-Mizil A. 2006. An empirical comparison of supervised learning algorithms . Presented at Proc. Int. Conf. Machine Learn., 23rd, Pittsburgh, PA · DOI · Paper page
  21. 10.1023/A:1021571603605 · DOI
  22. 10.1098/rsbl.2008.0210 · DOI
  23. 10.1016/j.baae.2006.11.001 · DOI
  24. 10.1111/j.2007.0906-7590.05171.x · DOI · Paper page
  25. 10.1111/j.1365-2664.2006.01141.x · DOI
  26. 10.1016/j.biocon.2008.11.018 · DOI
  27. 10.1034/j.1600-0587.2002.250510.x · DOI
  28. 10.1111/j.1600-0587.2008.05505.x · DOI
  29. 10.1111/j.2006.0906-7590.04596.x · DOI · Paper page
  30. Elith J, 2009, Spatial Conservation Prioritization: Quantitative Methods and Computational Tools, 70, 10.1093/oso/9780199547760.003.0006 · DOI · Paper page
  31. 10.1111/j.1365-2656.2008.01390.x · DOI · Paper page
  32. 10.1111/j.1365-2664.2006.01149.x · DOI
  33. 10.1023/A:1021302930424 · DOI
  34. 10.1111/j.1466-8238.2006.00258.x · DOI
  35. 10.1046/j.1523-1739.2001.00053.x · DOI
  36. 10.1177/0309133308094656 · DOI
  37. 10.1017/CBO9780511810602 · DOI
  38. 10.1111/j.1365-2699.2007.01772.x · DOI
  39. 10.1016/j.tree.2004.07.006 · DOI
  40. 10.1554/03-274 · DOI
  41. 10.2307/4070199 · DOI
  42. 10.1111/j.1461-0248.2005.00792.x · DOI
  43. 10.1016/S0304-3800(00)00354-9 · DOI · Paper page
  44. 10.1111/j.1748-7692.2002.tb01082.x · DOI
  45. 10.1177/0309133306071957 · DOI
  46. 10.1560/IJEE_52_3-4_247 · DOI
  47. 10.1111/j.1541-0420.2006.00725.x · DOI
  48. 10.1111/j.0030-1299.2008.16434.x · DOI
  49. Huston MA, 2002, Predicting Species Occurrences: Issues of Accuracy and Scale, 7
  50. 10.1111/j.1472-4642.2008.00496.x · DOI
  51. 10.1642/0004-8038(2001)118[0557:HSSIAE]2.0.CO;2 · DOI
  52. 10.1111/j.0906-7590.2008.05457.x · DOI
  53. 10.1111/j.1461-0248.2008.01277.x · DOI
  54. 10.1098/rsbl.2008.0049 · DOI
  55. 10.1111/j.1469-1795.2000.tb00236.x · DOI
  56. 10.1016/j.tree.2008.02.001 · DOI
  57. 10.1890/04-0609 · DOI
  58. 10.1111/j.1365-2699.2008.01887.x · DOI
  59. 10.1046/j.1365-2435.2001.00504.x · DOI
  60. 10.2307/1939924 · DOI
  61. 10.2307/1941447 · DOI
  62. 10.2307/1931600 · DOI
  63. 10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2 · DOI · Paper page
  64. 10.1046/j.1365-2699.2001.00626.x · DOI
  65. Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson WP. 2002. Resource Selection by Animals: Statistical Design and Analysis for Field Studies. Dordrecht: Kluwer. 221 pp. 2nd ed.
  66. 10.3354/meps147001 · DOI
  67. 10.1111/j.1654-1103.2006.tb02505.x · DOI
  68. 10.1111/j.1366-9516.2006.00273.x · DOI
  69. 10.1016/j.ecolmodel.2006.12.012 · DOI
  70. 10.1641/0006-3568(2004)054[0310:SETSOP]2.0.CO;2 · DOI
  71. 10.1016/S0304-3800(02)00197-7 · DOI
  72. 10.5962/bhl.title.15762 · DOI
  73. Nix H, 1986, Atlas of Elapid Snakes of Australia, 4
  74. 10.1086/587826 · DOI · Paper page
  75. 10.1016/S0304-3800(00)00322-7 · DOI
  76. 10.1111/j.1365-2664.2005.01112.x · DOI
  77. Pearson RG. 2007. Species’ Distribution Modeling for Conservation Educators and Practitioners. Synthesis. New York: Am. Mus. Natl. Hist. http://ncep.amnh.org
  78. 10.1046/j.1466-822X.2003.00042.x · DOI · Paper page
  79. 10.1111/j.1365-2699.2006.01460.x · DOI
  80. Peterson AT, 2006, Bioinformatics, 3, 59
  81. 10.1016/j.ecolmodel.2005.03.026 · DOI · Paper page
  82. 10.1890/07-2153.1 · DOI · Paper page
  83. 10.3354/meps07274 · DOI
  84. 10.2307/1468026 · DOI · Paper page
  85. 10.1007/s10021-005-0054-1 · DOI · Paper page
  86. 10.1111/j.1466-822X.2006.00237.x · DOI
  87. 10.1016/j.ecolmodel.2005.10.003 · DOI
  88. 10.1111/j.1365-2699.2007.01814.x · DOI
  89. 10.1086/379204 · DOI
  90. 10.1890/03-3127 · DOI
  91. 10.1111/j.1365-2699.2006.01517.x · DOI
  92. 10.1016/j.tree.2006.06.008 · DOI
  93. 10.1016/j.ecocom.2004.11.002 · DOI
  94. 10.5962/bhl.title.8099 · DOI
  95. 10.1002/jpln.200700027 · DOI
  96. 10.1016/j.ecolmodel.2006.05.036 · DOI
  97. 10.1111/j.1466-8238.2006.00293.x · DOI
  98. 10.1111/j.1461-0248.2007.01107.x · DOI
  99. 10.1111/j.1600-0587.2008.05512.x · DOI
  100. Stauffer DE, 2002, Predicting Species Occurrences: Issues of Accuracy and Scale, 53
  101. 10.1016/S0895-4356(99)00103-1 · DOI
  102. 10.1080/136588199241391 · DOI
  103. 10.1111/j.1420-9101.2007.01487.x · DOI
  104. 10.1111/j.1365-2486.2005.001018.x · DOI
  105. Tobalske C, 2002, Predicting Species Occurrences: Issues of Accuracy and Scale, 197
  106. 10.1016/j.fishres.2004.08.011 · DOI
  107. 10.1890/070001 · DOI · Paper page
  108. 10.1111/j.1366-9516.2004.00090.x · DOI
  109. 10.2307/1943577 · DOI
  110. 10.1111/j.1365-2656.2006.01141.x · DOI
  111. 10.1073/pnas.0606292104 · DOI
  112. 10.1890/0012-9658(2006)87[2433:EVOENM]2.0.CO;2 · DOI
  113. 10.2307/3237182 · DOI

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Metadata

Authors
Elith, J., & Leathwick, J. R.
Affiliations
  • School of Botany, The University of Melbourne, Victoria 3010, Australia;
  • National Institute of Water and Atmospheric Research, Hamilton, New Zealand;
Venue
Annual Review of Ecology, Evolution, and Systematics
Publisher
Annual Reviews
Published
2009-12-01
Volume
40
Issue
1
Pages
677-697
ISSN
  • 1543-592X
  • 1545-2069
DOI
10.1146/annurev.ecolsys.110308.120159
Cited by
6,707
References
4
Language
en

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