Do stacked species distribution models reflect altitudinal diversity patterns?

PLoS ONE

Volumn 7, Issue 3, 2012, Pages

  Mateo, Rubén G ^a,b   Felicísimo, Ángel M ^c   Pottier, Julien ^d   Guisan, Antoine ^d   Muñoz, Jesús ^b  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b CSIC   (Spain)

^c UNIVERSITY OF EXTREMADURA   (Spain)

^d UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALTITUDE ACCLIMATIZATION; ANTHURIUM; AREA UNDER THE CURVE; ARTICLE; BIODIVERSITY; BROMELIACEAE; CLADISTICS; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC ELEVATION; GEOGRAPHICAL VARIATION (SPECIES); NONHUMAN; PLANT; PREDICTION; RANDOMIZATION; SEASONAL VARIATION; SPECIES DIFFERENCE; SPECIES DISTRIBUTION; SPECIES DIVERSITY; SPECIES RICHNESS; TEMPERATURE SENSITIVITY; TROPICS; ALGORITHM; ALTITUDE; ARACEAE; ECUADOR; ENVIRONMENT; ENVIRONMENTAL PROTECTION; GENETICS; PHYSIOLOGY; PLANT PHYSIOLOGY; POPULATION DYNAMICS; PREDICTIVE VALUE; REGRESSION ANALYSIS; THEORETICAL MODEL;

ANTHURIUM; BROMELIACEAE;

ALGORITHMS; ALTITUDE; ARACEAE; AREA UNDER CURVE; BIODIVERSITY; BROMELIACEAE; CONSERVATION OF NATURAL RESOURCES; ECUADOR; ENVIRONMENT; MODELS, THEORETICAL; PLANT PHYSIOLOGICAL PHENOMENA; PLANTS; POPULATION DYNAMICS; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; SPECIES SPECIFICITY;

EID: 84857721354     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0032586     Document Type: Article

References (67)

1. Nogués-Bravo D, Araújo MB, Romdal T, Rahbek C, (2008) Scale effects and human impact on the elevational species richness gradients. Nature 453: 216-220.
2. Becker A, Korner C, Brun JJ, Guisan A, Tappeiner U, (2007) Ecological and land use studies along elevational gradients. Mt Res Dev 27: 58-65.
3. Korner C, (2000) Why are there global gradients in species richness? Mountains might hold the answer. Trends Ecol Evol 15: 513-514.
4. Ah-Peng C, Chuah-Petiot M, Descamps-Julien B, Bardat J, Stamenoff P, et al. (2007) Bryophyte diversity and distribution along an altitudinal gradient on a lava flow in La Réunion. Divers Distrib 13: 654-662.
5. Bhattarai KR, Vetaas OR, Grytnes JA, (2004) Fern species richness along a central Himalayan elevational gradient, Nepal. J Biogeogr 31: 389-400.
6. Fleishman E, Fay JP, Murphy DD, (2000) Upsides and Downsides: Contrasting Topographic Gradients in Species Richness and Associated Scenarios for Climate Change. J Biogeogr 27: 1209-1219.
7. Heaney LR, (2001) Small mammal diversity along elevational gradients in the Philippines: an assessment of patterns and hypotheses. Global Ecol Biogeogr 10: 15-39.
8. Körner C, (2000) Why are there global gradients in species richness? Mountains might hold the answer. Trends Ecol Evol 15: 513-514.
9. McCain CM, (2004) The mid-domain effect applied to elevational gradients: species richness of small mammals in Costa Rica. J Biogeogr 31: 19-31.
10. Rahbek C, (2005) The role of spatial scale and the perception of large-scale species-richness patterns. Ecol Lett 8: 224-239.
11. Rickart EA, (2001) Elevational diversity gradients, biogeography and the structure of montane mammal communities in the intermountain region of North America. Global Ecol Biogeogr 10: 77-100.
12. Romdal TS, Grytnes J-A, (2007) An indirect area effect on elevational species richness patterns. Ecography 30: 440-448.
13. Rowe RJ, (2005) Elevational gradient analyses and the use of historical museum specimens: a cautionary tale. J Biogeogr 32: 1883-1897.
14. Vetaas OR, Grytnes J-A, (2002) Distribution of vascular plant species richness and endemic richness along the Himalayan elevation gradient in Nepal. Global Ecol Biogeogr 11: 291-301.
15. Ferrier S, Guisan A, (2006) Spatial modelling of biodiversity at the community level. J Appl Ecol 43: 393-404.
16. Algar AC, Kharouba HM, Young ER, Kerr JT, (2009) Predicting the future of species diversity: macroecological theory, climate change, and direct tests of alternative forecasting methods. Ecography 32: 22-33.
17. Wilson KA, Westphal MI, Possingham HP, Elith J, (2005) Sensitivity of conservation planning to different approaches to using predicted species distribution data. Biol Conserv 122: 99-112.
18. Baselga A, Araújo MB, (2010) Do community-level models describe community variation effectively? J Biogeogr 37: 1842-1850.
19. Mateo RG, (2008) Modelos Predictivos de Riqueza de Diversidad Vegetal. Comparación y Optimización de Métodos de Modelado Ecológico Madrid Universidad Complutense de Madrid.
20. Pineda E, Lobo JM, (2009) Assessing the accuracy of species distribution models to predict amphibian species richness patterns. J Anim Ecol 78: 182-190.
21. Trotta-Moreu N, Lobo JM, (2010) Deriving the Species Richness Distribution of Geotrupinae (Coleoptera: Scarabaeoidea) in Mexico From the Overlap of Individual Model Predictions. Environ Entomol 39: 42-49.
22. Araújo MB, Pearson RG, Thuiller W, Erhard M, (2005) Validation of species-climate impact models under climate change. Glob Change Biol 11: 1504-1513.
23. Botkin DB, Saxe H, Araújo MB, Betts R, Bradshaw RHW, et al. (2007) Forecasting the effects of global warming on biodiversity. Bioscience 57: 227-236.
24. Hortal J, (2008) Uncertainty and the measurement of terrestrial biodiversity gradients. J Biogeogr 35: 1335-1336.
25. Randin CF, Engler R, Normand S, Zappa M, Zimmermann NE, et al. (2009) Climate change and plant distribution: local models predict high-elevation persistence. Glob Change Biol 15: 1557-1569.
26. Engler R, Randin CF, Vittoz P, Czáka T, Beniston M, et al. (2009) Predicting future distributions of mountain plants under climate change: does dispersal capacity matter? Ecography 32: 34-45.
27. Engler R, Randin CR, Thuiller W, Dullinger S, Zimmermann NE, et al. (2011) 21st century climate change threatens mountain flora unequally across Europe. Glob Change Biol 17: 2330-2341.
28. Pottier J, Dubuis A, Pellissier L, Maiorano L, Rossier L, et al. (In review) Accuracy of assemblage prediction from species distribution models for plants varies along environmental gradients. Global Ecol Biogeogr.
29. Guisan A, Rahbek C, (2010) Predicting spatio-temporal patterns of species assemblages through integration of macroecological and species distribution models with assembly rules and source pool assignments. J Biogeogr 38: 1433-1444.
30. Pellissier L, Pradervand J-N, Pottier J, Dubuis A, Maiorano L, et al. (In review) Empirical modeling of butterfly assemblages shows more accurate predictions at high altitude and in plant rich grasslands. Ecography.
31. Rahbek C, (1995) The elevational gradient of species richness a uniform pattern. Ecography 18: 200-205.
32. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29: 129-151.
33. Jørgensen PM, León-Yánez S, eds. (1999) Catalogue of the vascular plants of Ecuador. Misouri Botanical Garden. Saint Louit. USA.
34. Kessler M, (2001) Patterns of diversity and range size of selected plant groups along an elevational transect in the Bolivian Andes. Biodivers Conserv 10: 1897-1921.
35. Kessler M, (2002) The elevational gradient of Andean plant endemism: varying influences of taxon-spedific traits and topography at different taxonomic levels. J Biogeogr 29: 1159-1165.
36. Araújo MB, New M, (2007) Ensemble forecasting of species distributions. Trends Ecol Evol 22: 42-47.
37. Mateo RG, Felicísimo ÁM, Muñoz J, (2010) Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity. J Veg Sci 21: 908-922.
38. Papeş 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 Distrib 13: 890-902.
39. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A, (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25: 1965-1978.
40. Austin M, (2007) Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecol Modell 200: 1-19.
41. Friedman JH, (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29: 1189-1232.
42. McCullagh P, Nelder JA, (1989) Generalized linear models London Chapman & Hall.
43. Friedman JH, (1991) Multivariate adaptive regression splines. Ann Stat 19: 1-141.
44. Stockwell D, Peters D, (1999) The GARP modelling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Science 13: 143-158.
45. Carpenter G, Gillison AN, Winter J, (1993) DOMAIN: a flexible modelling procedure for mapping potential distrubitions of plants ans animals. Biodivers Conserv 2: 667-680.
46. Phillips SJ, Anderson RP, Schapire RP, (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190: 231-259.
47. Mateo RG, Croat TB, Felicísimo ÁM, Muñoz J, (2010) Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Divers Distrib 16: 84-94.
48. Titeux N, (2006) Modelling species distribution when habitat occupancy departs from suitability. Application to birds in a landscape context: Université catholique de Louvain.
49. Elith J, Leathwick JR, (2007) Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines. Divers Distrib 13: 265-275.
50. Pearson RG, Raxworthy CJ, Nakamura M, Townsend Peterson A, (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J Biogeogr 34: 102-117.
51. Anderson RP, (2003) Real vs. artefactual absences in species distributions: test for Oryzomys albigularis (Rodentia: Muridae) in Venezuela. J Biogeogr 30: 591-605.
52. Loiselle B, Howell CA, Graham CH, Goerck JM, Brooks T, et al. (2003) Avoiding pitfalls of using species distributions models in conservation planing. Conserv Biol 17: 1591-1600.
53. Muñoz J, Felicísimo AM, (2004) A comparison between some statistical methods commonly used in predictive modeling. J Veg Sci 15: 285-292.
54. Hijmans RJ, Guarino L, Bussink C, Mathur P, Cruz M, et al. (2004) DIVA-GIS, version 4. A geographic information system for the analysis of biodiversity data. Manual. (Available at http://www.diva-gis.org).
55. Marmion M, Parviainen M, Luoto M, Heikkinen RK, Thuiller W, (2009) Evaluation of consensus methods in predictive species distribution modelling. Divers Distrib 15: 59-69.
56. Liu C, Berry PM, Dawson TP, Pearson RG, (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28: 385-393.
57. Jiménez-Valverde A, Lobo JM, (2007) Threshold criteria for conversion of probability of species presence to either-or presence-absence. Acta Ecol 31: 361-369.
58. Fielding AH, Bell JF, (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24: 38-49.
59. Ewens WJ, (2003) On Estimating P Values by Monte Carlo Methods. The American Society of Human Genetics 72: 496-498.
60. North BV, Curtis D, Sham PC, (2002) A Note on the Calculation of Empirical P Values from Monte Carlo Procedures. The American Society of Human Genetics 71: 439-441.
61. Guisan A, Broennimann O, Engler R, Vust M, Yoccoz NG, et al. (2006) Using Niche-Based Models to Improve the Sampling of Rare Species. Conserv Biol 20: 501-511.
62. Pellissier L, Anne Bråthen K, Pottier J, Randin CF, Vittoz P, et al. (2010) Species distribution models reveal apparent competitive and facilitative effects of a dominant species on the distribution of tundra plants. Ecography 33: 1004-1014.
63. Dubuis A, Rion V, Pottier J, Pellissier L, Theurillat J-P, et al. Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking approaches. Divers Distrib In press.
64. Austin MP, (2002) Spatial prediction of species distribution: an interface between ecological theory and statiscal modelling. Ecol Model 157: 101-118.
65. Segurado P, Araújo MB, (2004) An evaluation of methods for modelling species distributions. J Biogeogr 31: 1555-1568.
66. Araújo MB, Thuiller W, Pearson RG, (2006) Climate warming and the decline of amphibians and reptiles in Europe. J Biogeogr 33: 1712-1728.
67. Araújo MB, Whittaker RJ, Ladle RJ, Erhard M, (2005) Reducing uncertainty in projections of extinction risk from climate change. Global Ecol Biogeogr 14: 529-538.