Paleodistribution modeling in archaeology and paleoanthropology

Quaternary Science Reviews

Volumn 110, Issue , 2015, Pages 1-14

  Franklin, Janet ^a   Potts, Alastair J ^b   Fisher, Erich C ^c   Cowling, Richard M ^b   Marean, Curtis W ^b,c  

^a ARIZONA STATE UNIVERSITY   (United States)

^b NELSON MANDELA METROPOLITAN UNIVERSITY   (South Africa)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Paleoclimate; Paleodistributions; Paleoenvironmental reconstruction; Resource paleoscape; Species distribution modeling

Indexed keywords

ANIMALS; ECOLOGY; ECOSYSTEMS; HISTORY; PLANTS (BOTANY);

PALEOCLIMATES; PALEODISTRIBUTIONS; PALEOENVIRONMENTAL RECONSTRUCTION; RESOURCE PALEOSCAPE; SPECIES DISTRIBUTION MODELING;

POPULATION DISTRIBUTION;

ANTHROPOLOGY; HINDCASTING; OCCUPATION; PALEOBIOLOGY; PALEOCLIMATE; PALEOENVIRONMENT; POPULATION DISTRIBUTION; POPULATION MODELING; PREHISTORIC;

ANIMALIA;

EID: 84920998061     PISSN: 02773791     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.quascirev.2014.12.015     Document Type: Article

References (148)

1. Alfano M.J., Barron E.J., Pollard D., Huntley B., Allen J.R. Comparison of climate model results with European vegetation and permafrost during oxygen isotope stage three. Quat. Res. 2003, 59:97-107.
2. Anderson R., Dudík M., Ferrier S., Guisan A., Hijmans R.J., Huettmann F., Leathwick J.R., Lehmann A., Li J., Lohmann L.G. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
3. Araújo M.B., Luoto M. The importance of biotic interactions for modelling species distributions under climate change. Glob. Ecol. Biogeogr. 2007, 16:743-753.
4. Araújo M.B., New M. Ensemble forecasting of species distributions. Trends Ecol. Evol. 2007, 22:42-47.
5. Araújo M.B., Whittaker R.J., Ladle R.J., Erhard M. Reducing uncertainty in projections of extinction risk from climate change. Glob. Ecol. Biogeogr. 2005, 14:529-538.
6. Austin M. Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecol. Model. 2007, 200:1-19.
7. Austin M.P. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol. Model. 2002, 157:101-118.
8. Austin M.P., Van Niel K.P. Improving species distribution models for climate change studies: variable selection and scale. J.Biogeogr. 2011, 38:1-8.
9. Banks W.E., Aubry T., d'Errico F., Zilhao J., Lira-Noriega A., Peterson A.T. Eco-cultural niches of the Badegoulian: unraveling links between cultural adaptation and ecology during the Last Glacial Maximum in France. J.Anthropol. Archaeol. 2011, 30:359-374.
10. Banks W.E., d'Errico F., Peterson A.T., Kageyama M., Colombeau G. Reconstructing ecological niches and geographic distributions of caribou (Rangifer tarandus) and red deer (Cervus elaphus) during the Last Glacial Maximum. Quat. Sci. Rev. 2008, 27:2568-2575.
11. Banks W.E., d'Errico F., Peterson A.T., Kageyama M., Sima A., Sánchez-Goñi M.-F. Neanderthal extinction by competitive exclusion. PloS One 2008, 3:e3972.
12. Banks W.E., d'Errico F., Dibble H.L., Krishtalka L., West D., Olszewski D.I., Peterson A.T., Anderson D.G., Gillam J., Montet-White A. Eco-cultural niche modeling: new tools for reconstructing the geography and ecology of past human populations. PaleoAnthropology 2006, 4:68-83.
13. Bar-Matthews M., Marean C.W., Jacobs Z., Karkanas P., Fisher E.C., Herries A.I.R., Brown K., Williams H.M., Bernatchez J., Ayalon A., Nilssen P.J. Ahigh resolution and continuous isotopic speleothem record of paleoclimate and paleoenvironment from 90 to 53 ka from Pinnacle Point on the south coast of South Africa. Quat. Sci. Rev. 2010, 29:2131-2145.
14. Barron E., Pollard D. High-resolution climate simulations of oxygen isotope Stage 3 in Europe. Quat. Res. 2002, 58:296-309.
15. Barsugli J.J., Guentchev G., Horton R.M., Wood A., Mearns L.O., Liang X.Z., Winkler J.A., Dixon K., Hayhoe K., Rood R.B. The practitioner's dilemma: how to assess the credibility of downscaled climate projections. Eos Trans. Am. Geophys. Union 2013, 94:424-425.
16. Beaumont L.J., Hughes L., Pitman A.J. Why is the choice of future climate scenarios for species distribution modelling important?. Ecol. Lett. 2008, 11:1135-1146.
17. Behrensmeyer A.K., Damuth J.D., DiMichele W.A., Potts R., Sues H.-D., Wing S. Terrestrial Ecosystems Through Time: Evolutionary Paleoecology of Terrestrial Plants and Animals 1992, University of Chicago Press, Chicago.
18. Bettridge C.M., Dunbar R. Modeling the biogeography of fossil baboons. Int. J. Primatol. 2012, 33:1278-1308.
19. Birks H.B., Heiri O., Seppä H., Bjune A.E. Strengths and weaknesses of quantitative climate reconstructions based on late-Quaternary biological proxies. Open Ecol. J. 2010, 3:68-110.
20. Blois J.L., Williams J.W., Fitzpatrick M.C., Ferrier S., Veloz S.D., He F., Liu Z.Y., Manion G., Otto-Bliesner B. Modeling the climatic drivers of spatial patterns in vegetation composition since the Last Glacial Maximum. Ecography 2013, 36:460-473.
21. Blois J.L., Williams J.W., Fitzpatrick M.C., Jackson S.T., Ferrier S. Space can substitute for time in predicting climate-change effects on biodiversity. Proc. Natl. Acad. Sci. U. S. A. 2013, 110:9374-9379.
22. Blumenschine R.J., Peters C.R. Archaeological predictions for hominid land use in the Paleo-Olduvai basin, Tanzania, during lowermost Bed II times. J.Hum. Evol. 1998, 34:565-607.
23. Booth T.H., Nix H.A., Busby J.R., Hutchinson M.F. BIOCLIM: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies. Divers. Distrib. 2014, 20:1-9.
24. Braconnot P., Harrison S.P., Otto-Bliesner B., Abe-Ouchi A., Jungclaus J., Peterschmitt J.-Y. The paleoclimate modeling intercomparison project contribution to CMIP5. CliVAR Exch. 2011, 56:15-19.
25. Braunisch V., Coppes J., Arlettaz R., Suchant R., Schmid H., Bollmann K. Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change. Ecography 2013, 36:971-983.
26. Brewer S., Jackson S.T., Williams J.W. Paleoecoinformatics: applying geohistorical data to ecological questions. Trends Ecol. Evol. 2012, 27:104-112.
27. Brown K., Marean C. Wood Fuel Availability for Heat Treatment Drives the Rise and Fall of Silcrete as a Raw Material in the Middle Stone Age of South Africa 2010, A0001-A0040. Abstracts of the PaleoAnthropology Society Meetings.
28. Brown K.S. The Sword in the Stone: Lithic Raw Material Exploitation in the Middle Stone Age at Pinnacle Point Site 5-6, Southern Cape, South Africa 2011, (Ph.D. dissertation), Anthropology. University of Cape Town, Cape Town, South Africa.
29. Brown K.S., Marean C.W., Jacobs Z., Schoville B.J., Oestmo S., Fisher E.C., Bernatchez J., Karkanas P., Matthews T. An early and enduring advanced technology originating 71,000 years ago in South Africa. Nature 2012, 491:590-593.
30. Bruch A.A., Sievers C., Wadley L. Quantification of climate and vegetation from Southern African Middle Stone Age sites - an application using Late Pleistocene plant material from Sibudu, South Africa. Quat. Sci. Rev. 2012, 45:7-17.
31. Buckley L.B., Urban M.C., Angilletta M.J., Crozier L.G., Rissler L.J., Sears M.W. Can mechanism inform species' distribution models?. Ecol. Lett. 2010, 13:1041-1054.
32. Buckley T.R., Marske K., Attanayake D. Phylogeography and ecological niche modelling of the New Zealand stick insect Clitarchus hookeri (White) support survival in multiple coastal refugia. J.Biogeogr. 2010, 37:682-695.
33. Buisson L., Thuiller W., Casajus N., Lek S., Grenouillet G. Uncertainty in ensemble forecasting of species distribution. Glob. Change Biol. 2010, 16:1145-1157.
34. Busch U., Heimann D. Statistical-dynamical extrapolation of a nested regional climate simulation. Clim. Res. 2001, 19:1-13.
35. Carnaval A.C., Moritz C. Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic forest. J.Biogeogr. 2008, 35:1187-1201.
36. Christensen J.H., Boberg F., Christensen O.B., Lucas-Picher P. On the need for bias correction of regional climate change projections of temperature and precipitation. Geophys. Res. Lett. 2008, 35:L20709. 10.1029/2008GL035694.
37. Clark J.S. Why trees migrate so fast: confronting theory with dispersal biology and the paleorecord. Am. Nat. 1998, 152:204-224.
38. Clark J.S., Bell D.M., Kwit M.C., Zhu K. Competition-interaction landscapes for the joint response of forests to climate change. Glob. Change Biol. 2014, 20:1979-1991.
39. Collins M., Knutti R., Arblaster J., Dufresne J.-L., Fichefet T., Friedlingstein P., Gao X., Gutowski W.J., Johns T., Krinner G., Shongwe M., Tebaldi C., Weaver A.J., Wehne M. Long-term climate change: projections, commitments and irreversibility. Climate Change 2013: the Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 2013, 1029-1136. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. T.F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P.M. Midgley (Eds.).
40. Conolly J., Manning K., Colledge S., Dobney K., Shennan S. Species distribution modelling of ancient cattle from early Neolithic sites in SW Asia and Europe. Holocene 2012, 22:997-1010.
41. Cowling R.M. The Ecology of Fynbos: Nutrients, Fire and Diversity 1992, Oxford University Press, Southern Africa.
42. 2 and climate change: results from six dynamic global vegetation models. Glob. Change Biol. 2001, 7:357-373.
43. Deacon H.J. Two Late Pleistocene-Holocene archaeological depositories from the southern Cape, South Africa. South Afr. Archaeol. Bull. 1995, 50:121-131.
44. Dormann C.F., Elith J., Bacher S., Buchmann C., Carl G., Carré G., Marquéz J.R.G., Gruber B., Lafourcade B., Leitão P.J. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 2013, 36:27-46.
45. Dormann C.F., Schymanski S.J., Cabral J., Chuine I., Graham C., Hartig F., Kearney M., Morin X., Römermann C., Schröder B., Singer A. Correlation and process in species distribution models: bridging a dichotomy. J.Biogeogr. 2012, 12:2119-2131.
46. Duker R., Cowling R.M., du Preez D.R., van der Vyver M.L., Weatherall-Thomas C.R., Potts A.J. Community-level assessment of freezing tolerance: frost dictates the biome boundary between Albany subtropical thicket and Nama-Karoo in South Africa. J.Biogeogr. 2015, 42:167-178.
47. Elith J., Franklin J. Species distribution modelling. Encyclopedia of Biodiversity 2013, 692-705. Academic Press, Waltham, MA. second ed. S. Levin (Ed.).
48. Elith J., Graham C.H., Anderson R.P., Dudik M., Ferrier S., Guisan A., Hijmans R.J., Huettmann F., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Loiselle B.A., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M., Peterson A.T., Phillips S.J., Richardson K., Scachetti-Pereira R., Schapire R.E., Soberon J., Williams S., Wisz M.S., Zimmermann N.E. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
49. Elith J., Kearney M., Phillips S. The art of modelling range-shifting species. Methods Ecol. Evol. 2010, 1:330-342.
50. Elith J., Leathwick J.R. Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 2009, 40:677-697.
51. Ferrier S., Guisan A. Spatial modelling of biodiversity at the community level. J.Appl. Ecol. 2006, 43:393-404.
52. Ferrier S., Manion G., Elith J., Richardson K. Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Divers. Distrib. 2007, 13:252-264.
53. Fisher E.C., Bar-Matthews M., Jerardino A., Marean C.W. Middle and Late Pleistocene paleoscape modeling along the southern coast of South Africa. Quat. Sci. Rev. 2010, 29:1382-1398.
54. Fitzpatrick M.C., Hargrove W.W. The projection of species distribution models and the problem of non-analog climate. Biodivers. Conserv. 2009, 18:2255-2261.
55. Flato G., Marotzke J., Abiodun B., Braconnot P., Chou S., Collins W., Cox P., Driouech F., Emori S., Eyring V. Evaluation of climate models. Climate Change: the Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 2013, 741-866. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. T.F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P.M. Midgley (Eds.).
56. Flint A.L., Flint L.E. Downscaling future climate scenarios to fine scales for hydrologic and ecologic modeling and analysis. Ecol. Process. 2012, 1. 10.1186/2192-1709-1-2.
57. Ford A., Clarke K.C., Raines G. Modeling settlement patterns of the late classic Maya civilization with Bayesian methods and geographic information systems. Ann. Assoc. Am. Geogr. 2009, 99:496-520.
58. Franklin J. Predictive vegetation mapping: geographic modeling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 1995, 19:474-499.
59. Franklin J. Mapping Species Distributions: Spatial Inference and Prediction 2010, Cambridge University Press, Cambridge, UK.
60. Franklin J. Moving beyond static species distribution models in support of conservation biogeography. Divers. Distrib. 2010, 16:321-330.
61. Fuentes U., Heimann D. An improved statistical-dynamical downscaling scheme and its application to the Alpine precipitation climatology. Theor. Appl. Climatol. 2000, 65:119-135.
62. Gavin D.G., Fitzpatrick M.C., Gugger P.F., Heath K.D., Rodríguez-Sánchez F., Dobrowski S.Z., Hampe A., Hu F.S., Ashcroft M.B., Bartlein P.J. Climate refugia: joint inference from fossil records, species distribution models and phylogeography. New Phytol. 2014, 204:37-54.
63. Gifford D.P. Taphonomy and paleoecology: a critical review of archaeology's sister disciplines. Adv. Archaeol. Method Theory 1981, 4:365-438.
64. Graves D. The use of predictive modelling to target Neolithic settlement and occupation activity in mainland Scotland. J.Archaeol. Sci. 2011, 38:633-656.
65. Guisan A., Thuiller W. Predicting species distributions: offering more than simple habitat models. Ecol. Lett. 2005, 8:993-1009.
66. Guisan A., Rahbek C. SESAM-a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages. J.Biogeogr. 2011, 38:1433-1444.
67. Hampe A. Bioclimate envelope models: what they detect and what they hide. Glob. Ecol. Biogeogr. 2004, 13:469-471.
68. Hastie T., Tibshirani R., Friedman J., Hastie T., Friedman J., Tibshirani R. The Elements of Statistical Learning 2009, Springer.
69. Hawkins E., Sutton R. The potential to narrow uncertainty in regional climate predictions. Bull. Am. Meteorol. Soc. 2009, 90:1095-1107.
70. Henne P.D., Elkin C., Colombaroli D., Samartin S., Bugmann H., Heiri O., Tinner W. Impacts of changing climate and land use on vegetation dynamics in a Mediterranean ecosystem: insights from paleoecology and dynamic modeling. Landsc. Ecol. 2013, 28:819-833.
71. Hernandez P.A., Graham C.H., Master L.L., Albert D.L. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 2006, 29:773-785.
72. Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 2005, 25:1965-1978.
73. Hijmans R.J., Graham C.H. The ability of climate envelope models to predict the effect of climate change on species distributions. Glob. Change Biol. 2006, 12:2272-2281.
74. Hilbert D.W., Ostendorf B. The utility of artificial neural networks for modelling the distribution of vegetation in past, present and future climates. Ecol. Model. 2001, 146:311-327.
75. Hufford M.B., Martinez-Meyer E., Gaut B.S., Eguiarte L.E., Tenaillon M.I. Inferences from the historical distribution of wild and domesticated maize provide ecological and evolutionary insight. PloS One 2012, 7:11. 10.1371/journal.pone.0047659.
76. Huntley B., Allen J.R., Barnard P., Collingham Y.C., Holliday P.R. Species distribution models indicate contrasting late-Quaternary histories for Southern and Northern Hemisphere bird species. Glob. Ecol. Biogeogr. 2013, 22:277-288.
77. Hutchinson G.E. Concluding remarks. Cold Springs Harbour Symp. Quant. Biol. 1957, 22:415-427.
78. Hutchinson G.E. Homage to Santa Rosalia or why are there so many kinds of animals?. Am. Nat. 1959, 93:145.
79. Jackson S.T., Overpeck J.T. Responses of plant populations and communities to environmental changes of the late Quaternary. Paleobiology 2000, 26:194-220.
80. Jackson S.T., Webb R.S., Anderson K.H., Overpeck J.T., Webb T., Williams J.W., Hansen B. Vegetation and environment in eastern North America during the last glacial maximum. Quat. Sci. Rev. 2000, 19:489-508.
81. Jackson S.T., Williams J.W. Modern analogs in Quaternary paleoecology: here today, gone yesterday, gone tomorrow?. Annu. Rev. Earth Planet. Sci. 2004, 32:495-537.
82. Jacobs Z., Duller G.A., Wintle A.G., Henshilwood C.S. Extending the chronology of deposits at Blombos Cave, South Africa, back to 140ka using optical dating of single and multiple grains of quartz. J.Hum. Evol. 2006, 51:255-273.
83. Janssen M.A., Hill K. Benefits of grouping and cooperative hunting among Ache hunter-gatherers: insights from an agent-based foraging model. Hum. Ecol. 2014, 42:823-835.
84. Jerardino A. What archaeology can tell us about sustainability and climate change: a South African west coast perspective. J.Mar. Sci. Res. Dev. 2012, 1:105. http://dx.doi.org/10.4172/2155-9910.1000105.
85. Kearney M.R., Porter W.P. Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. Ecol. Lett. 2009, 12:334-350.
86. Kowalewski M. Time-averaging, overcompleteness, and the geological record. J.Geol. 1996, 104:317-326.
87. Kozak K.H., Graham C.H., Wiens J.J. Integrating GIS-based environmental data into evolutionary biology. Trends Ecol. Evol. 2008, 23:141-148.
88. Kremen C., Cameron A., Moilanen A., Phillips S.J., Thomas C.D., Beentje H., Dransfield J., Fisher B.L., Glaw F., Good T.C., Harper G.J., Hijmans R.J., Lees D.C., Louis E., Nussbaum R.A., Raxworthy C.J., Razafimpahanana A., Schatz G.E., Vences M., Vieites D.R., Wright P.C., Zjhra M.L. Aligning conservation priorities across taxa in Madagascar with high-resolution planning tools. Science 2008, 320:222-226.
89. Kvamme K.L. Spatial information technologies and landscape archaeology: past problems and future directions. eTopoi J. Anc. Stud. 2012, 3:335-340.
90. MacKenzie D.I. What are the issues with presence-absence data for wildlife managers?. J.Wildl. Manag. 2005, 69:849-860.
91. MacKenzie D.I., Nichols J.D., Lachman G.B., Droege S., Royle A., Langtimm C.A. Estimating site occupancy rates when detection probabilities are less than one. Ecology 2002, 83:2248-2255.
92. Mackey B.G., Lindenmayer D.B. Towards a hierarchical framework for modeling the spatial distribution of animals. J.Biogeogr. 2001, 28:1147-1166.
93. Marean C.W. Pinnacle Point Cave 13B (Western Cape Province, South Africa) in context: the Cape Floral Kingdom, shellfish, and modern human origins. J.Hum. Evol. 2010, 59:425-443.
94. Marean C.W., Anderson R.J., Bar-Matthews M., Braun K., Cawthra H.C., Cowling R.M., Engelbrecht F., Esler K.J., Fisher E., Franklin J., Hill K., Janssen M., Potts A.J., Zahn R. Anew research strategy for integrating studies of climate, environment, and paleoanthropology. Evol. Anthropol. 2014, (in press).
95. Marra M., Smith E., Shulmeister J., Leschen R. Late Quaternary climate change in the Awatere Valley, South Island, New Zealand using a sine model with a maximum likelihood envelope on fossil beetle data. Quat. Sci. Rev. 2004, 23:1637-1650.
96. Martinez-Meyer E., Peterson A.T., Hargrove W.W. Ecological niches as stable distributional constraints on mammal species, with implications for Pleistocene extinctions and climate change projections for biodiversity. Glob. Ecol. Biogeogr. 2004, 13:305-314.
97. McCoy M.D., Ladefoged T.N. New developments in the use of spatial technology in archaeology. J.Archaeol. Res. 2009, 17:263-295.
98. McEwan D.G. Qualitative landscape theories and archaeological predictive modelling- a journey through No Man's Land?. J.Archaeol. Method Theory 2012, 19:526-547.
99. McGuire J.L., Davis E.B. Using the palaeontological record of Microtus to test species distribution models and reveal responses to climate change. J.Biogeogr. 2013, 40:1490-1500.
100. Mesgaran M.B., Cousens R.D., Webber B.L. Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models. Divers. Distrib. 2014, 20:1147-1159.
101. Moriondo M., Trombi G., Ferrise R., Brandani G., Dibari C., Ammann C.M., Lippi M.M., Bindi M. Olive trees as bio-indicators of climate evolution in the Mediterranean Basin. Glob. Ecol. Biogeogr. 2013, 22:818-833.
102. Mosbrugger V., Utescher T. The coexistence approach - a method for quantitative reconstructions of Tertiary terrestrial palaeoclimate data using plant fossils. Palaeogeogr. Palaeoclimatol. Palaeoecol. 1997, 134:61-86.
103. Nix H., Busby J. BIOCLIM, a Bioclimatic Analysis and Prediction System 1986, Annual report CSIRO, CSIRO Division of Water and Land Resources, Canberra.
104. Nogués-Bravo D. Predicting the past distribution of species climatic niches. Glob. Ecol. Biogeogr. 2009, 18:521-531.
105. Ohmann J.L., Gregory M.J., Henderson E.B., Roberts H.M. Mapping gradients of community composition with nearest-neighbor imputation: extending plot data for landscape analysis. J.Veg. Sci. 2011, 22:660-676.
106. Ovaskainen O., Hottola J., Siitonen J. Modeling species co-occurrence by multivariate logistic regression generates new hypotheses on fungal interactions. Ecology 2010, 91:2514-2521.
107. Ovaskainen O., Soininen J. Making more out of sparse data: hierarchical modeling of species communities. Ecology 2011, 92:289-295.
108. Pearman P.B., Randin C.F., Broennimann O., Vittoz P., van der Knaap W.O., Engler R., Le Lay G., Zimmermann N.E., Guisan A. Prediction of plant species distributions across six millennia. Ecol. Lett. 2008, 11:357-369.
109. Pearson R.G., Dawson T.P. Predicting the impacts of climate change on the distribution of species: are bioclimatic envelope models useful?. Glob. Ecol. Biogeogr. 2003, 12:361-371.
110. Peters C.R., Blumenschine R.J. Landscape perspectives on possible land use patterns for Early Pleistocene hominids in the Olduvai Basin, Tanzania. J.Hum. Evol. 1995, 29:321-362.
111. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 2006, 190:231-259.
112. Phillips S.J., Dudík M. Modeling of species distributions with MaxEnt: new extensions and a comprehensive evaluation. Ecography 2008, 31:161-175.
113. Phillips S.J., Dudik M., Elith J., Graham C.H., Lehmann A., Leathwick J., Ferrier S. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol. Appl. 2009, 19:181-197.
114. Politis G.G., Prates L., Merino M.L., Tognelli M.F. Distribution parameters of guanaco (Lama guanicoe), pampas deer (Ozotoceros bezoarticus) and marsh deer (Blastocerus dichotomus) in Central Argentina: archaeological and paleoenvironmental implications. J.Archaeol. Sci. 2011, 38:1405-1416.
115. Polly P.D., Eronen J.T. Mammal associations in the Pleistocene of Britain: implications of ecological niche modelling and a method for reconstructing palaeoclimate. The Ancient Human Occupation of Britain 2011, 279-304. Elsevier, UK. N. Ashton, S. Lewis, C. Stronger (Eds.).
116. Porch N. Climate space, bioclimatic envelopes and coexistence methods for the reconstruction of past climates: a method using Australian beetles and significance for Quaternary reconstruction. Quat. Sci. Rev. 2010, 29:633-647.
117. Potts A.J., Hedderson T.A., Cowling R.M. Testing large-scale conservation corridors designed for patterns and processes: comparative phylogeography of three tree species. Divers. Distrib. 2013, 19:1418-1428.
118. Potts A.J., Hedderson T.A., Franklin J., Cowling R.M. The Last Glacial Maximum distribution of South African subtropical thicket inferred from community distribution modelling. J.Biogeogr. 2013, 40:310-322.
119. Pound M.J., Haywood A.M., Salzmann U., Riding J.B., Lunt D.J., Hunter S.J. ATortonian (late Miocene, 11.61-7.25 Ma) global vegetation reconstruction. Palaeogeogr. Palaeoclimatol. Palaeoecol. 2011, 300:29-45.
120. Robb J., Van Hove D. Gardening, foraging and herding: Neolithic land use and social territories in Southern Italy. Antiquity 2003, 77:241-254.
121. Roy K., Valentine J.W., Jablonski D., Kidwell S.M. Scales of climatic variability and time averaging in Pleistocene biotas: implications for ecology and evolution. Trends Ecol. Evol. 1996, 11:458-463.
122. Sakaguchi S., Sakurai S., Yamasaki M., Isagi Y. How did the exposed seafloor function in postglacial northward range expansion of Kalopanax septemlobus? Evidence from ecological niche modelling. Ecol. Res. 2010, 25:1183-1195.
123. Scheiter S., Higgins S.I. Impacts of climate change on the vegetation of Africa: an adaptive dynamic vegetation modelling approach. Glob. Change Biol. 2009, 15:2224-2246.
124. Schlummer M., Hoffmann T., Dikau R., Eickmeier M., Fischer P., Gerlach R., Holzkämper J., Kalis A.J., Kretschmer I., Lauer F. From point to area: upscaling approaches for Late Quaternary archaeological and environmental data. Earth-Sci. Rev. 2014, 131:22-48.
125. Sitch S., Smith B., Prentice I.C., Arneth A., Bondeau A., Cramer W., Kaplan J.O., Levis S., Lucht W., Sykes M.T., Thonicke K., Venevsky S. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob. Change Biol. 2003, 9:161-185.
126. Skidmore A.K., Franklin J., Dawson T.P., Pilesjö P. Geospatial tools address emerging issues in spatial ecology: a review and commentary on the Special Issue. Int. J. Geogr. Inf. Sci. 2011, 25:337-365.
127. Snell R., Huth A., Nabel J., Bocedi G., Travis J., Gravel D., Bugmann H., Gutiérrez A., Hickler T., Higgins S. Using dynamic vegetation models to simulate plant range shifts. Ecography 2014, 37:1184-1197.
128. Stocker T.F., Qin D., Plattner G.-K., Tignor M., Allen S.K., Boschung J., Nauels A., Xia Y., Bex V., Midgley P.M. Climate Change 2013. The Physical Science Basis 2013, Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change-Abstract for decision-makers, Groupe d'experts intergouvernemental sur l'evolution du climat/Intergovernmental Panel on Climate Change-IPCC, C/O World Meteorological Organization, 7bis Avenue de la Paix, CP 2300 CH-1211 Geneva 2 (Switzerland).
129. Suarez-Seoane S., de la Morena E.L.G., Prieto M.B.M., Osborne P.E., de Juana E. Maximum entropy niche-based modelling of seasonal changes in little bustard (Tetrax tetrax) distribution. Ecol. Model. 2008, 219:17-29.
130. Svenning J-.C., Flojgaard C., Marske K.A., Nogues-Bravo D., Normand S. Applications of species distribution modeling to paleobiology. Quat. Sci. Rev. 2011, 30:2930-2947.
131. Synes N.W., Osborne P.E. Choice of predictor variables as a source of uncertainty in continental-scale species distribution modelling under climate change. Glob. Ecol. Biogeogr. 2011, 20:904-914.
132. Teodoridis V., Mazouch P., Spicer R.A., Uhl D. Refining CLAMP - investigations towards improving the Climate Leaf Analysis Multivariate Program. Palaeogeogr. Palaeoclimatol. Palaeoecol. 2011, 299:39-48.
133. Thuiller W. Patterns and uncertainties of species' range shifts under climate change. Glob. Change Biol. 2004, 10:2020-2027.
134. Tyre A.J., Tenhumberg B., Field S.A., Niejalke D., Parris K., Possingham H.P. Improving precision and reducing bias in biological surveys: estimating false-negative error rates. Ecol. Appl. 2003, 13:1790-1801.
135. van Andel T.H. The climate and landscape of the middle part of the Weichselian glaciation in Europe: the Stage 3 Project. Quat. Res. 2002, 57:2-8.
136. van Huissteden K., Vandenberghe J., Pollard D. Palaeotemperature reconstructions of the European permafrost zone during marine oxygen isotope Stage 3 compared with climate model results. J.Quat. Sci. 2003, 18:453-464.
137. VanDerWal J., Shoo L.P., Williams S.E. New approaches to understanding late Quaternary climate fluctuations and refugial dynamics in Australian wet tropical rain forests. J.Biogeogr. 2009, 36:291-301.
138. Varela S., Lobo J.M., Hortal J. Using species distribution models in paleobiogeography: a matter of data, predictors and concepts. Palaeogeogr. Palaeoclimatol. Palaeoecol. 2011, 310:451-463.
139. Verhagen P., Whitley T.G. Integrating archaeological theory and predictive modeling: a live report from the scene. J.Archaeol. Method Theory 2012, 19:49-100.
140. Vrac M., Stein M., Hayhoe K., Liang X.Z. Ageneral method for validating statistical downscaling methods under future climate change. Geophys. Res. Lett. 2007, 34:L18701. 10.1029/2007GL030295.
141. Waltari E., Guralnick R.P. Ecological niche modelling of montane mammals in the Great Basin, North America: examining past and present connectivity of species across basins and ranges. J.Biogeogr. 2009, 36:148-161.
142. Webber B.L., Yates C.J., Le Maitre D.C., Scott J.K., Kriticos D.J., Ota N., McNeill A., Le Roux J.J., Midgley G.F. Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models. Divers. Distrib. 2011, 17:978-1000.
143. Wiens J.A., Stralberg D., Jongsomjit D., Howell C.A., Snyder M.A. Niches, models, and climate change: assessing the assumptions and uncertainties. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:19729-19736.
144. Wilby R.L., Wigley T. Downscaling general circulation model output: a review of methods and limitations. Prog. Phys. Geogr. 1997, 21:530-548.
145. Wilby R.L., Wigley T., Conway D., Jones P., Hewitson B., Main J., Wilks D. Statistical downscaling of general circulation model output: a comparison of methods. Water Resour. Res. 1998, 34:2995-3008.
146. Wintle B.A., McCarthy M.A., Parris K.M., Burgman M.A. Precision and bias of methods for estimating point survey detection probabilities. Ecol. Appl. 2004, 14:703-712.
147. Wisz M.S., Hijmans R.J., Li J., Peterson A.T., Graham C.H., Guisan A. Effects of sample size on the performance of species distribution models. Divers. Distrib. 2008, 14:763-773. NCEAS Predicting Species Distributions Working Group.
148. Wisz M.S., Pottier J., Kissling W.D., Pellissier L., Lenoir J., Damgaard C.F., Dormann C.F., Forchhammer M.C., Grytnes J.A., Guisan A. The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling. Biol. Rev. 2013, 88:15-30.