Abstract
Using species ranges, in particular those derived from species distribution models (SDM), to obtain characteristics of the species’ niche such as temperature tolerances is tempting. Over the past decade the literature has seen the increase in the use of SDMs based on locality data and spatially explicit datasets (climate, vegetation etc.). Furthermore, several studies have explored climatic niche evolution and niche conservatism using temperature and precipitation extracted from the resulting models in a phylogenetic context. However, species´ fundamental niches (set of abiotic conditions in which a species can live) are often incompletely characterized in SDMs, reconstructed mainly based on spotty locality data (about species presence and rarely including absence data). Indeed, a species´ realized niche, the actually occupied conditions where a species live, may be a subset of their fundamental niche due to lack of habitat availability, constraints on dispersion, and biotic interactions. Here, we produced SDMs for 50 species of neotropical reptiles and amphibians and compared extreme temperature estimates extracted from the modelled area (model-inferred) with thermo-physiological estimates of critical temperatures (physiology-inferred). When comparing experimental critical thermal maximum and minimums with temperature values extracted from the estimated range, we found a general pattern of maximum temperatures experienced that are cooler than the species maximum tolerances, and minimum temperatures close to or even colder than their minimum tolerances. Characterizing niche traits from SDMs is dangerous because SDMs are not representing the fundamental niche of species as measured with thermal physiology limits and they are also not deviating from the fundamental niche in a predictable way.
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References
Addo-Bediako A, Chown SL, Gaston KJ (2000) Thermal tolerance, climatic variability and latitude. Proc R Soc Lond B 267:739–745
Ahmadzadeh F, Flecks M, Carretero MA et al (2016) Separate histories in both sides of the Mediterranean: phylogeny and niche evolution of ocellated lizards. J Biogeogr 43:1242–1253. https://doi.org/10.1111/jbi.12703
Almendra AL, González-Cózatl FX, Engstrom MD, Rogers DS (2018) Molecular phylogenetics and evolution evolutionary relationships and climatic niche evolution in the genus Handleyomys (Sigmodontinae: Oryzomyini). Mol Phylogenet Evol 128:12–25. https://doi.org/10.1016/j.ympev.2018.06.018
Angilletta MJ, Niewiarowski PH, Navas CA (2002) The evolution of thermal physiology in ectotherms. J Therm Biol 27:249–268
Araújo MB, Ferri-Yáñez F, Bozinovic F et al (2013) Heat freezes niche evolution. Ecol Lett 16:1206–1219. https://doi.org/10.1111/ele.12155
Ashby B, Watkins E, Lourenço J et al (2017) Competing species leave many potential niches unfilled. Nat Ecol Evol 1:1495–1501. https://doi.org/10.1038/s41559-017-0295-3
Bennett JM, Calosi P, Clusella-Trullas S, Martínez B et al (2018) GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms. Sci Data 5:180022. https://doi.org/10.1038/sdata.2018.22
Camacho A, Rusch TW (2017) Methods and pitfalls of measuring thermal preference and tolerance in lizards. J Therm Biol. https://doi.org/10.1016/j.jtherbio.2017.03.010
Castro-Insua A, Gómez-Rodríguez C, Wiens JJ, Baselga A (2018) Climatic niche divergence drives patterns of diversification and richness among mammal families. Sci Rep 8:8781. https://doi.org/10.1038/s41598-018-27068-y
Constable H, Guralnick R, Wieczorek J et al (2010) VertNet: a new model for biodiversity data sharing. PLoS Biol 8:1–4. https://doi.org/10.1371/journal.pbio.1000309
Cunningham HR, Rissler LJ, Buckley LB, Urban MC (2015) Abiotic and biotic constraints across reptile and amphibian ranges. Ecography 38:1–8. https://doi.org/10.1111/ecog.01369
Darwin C (1882) On the origin of species by means of natural selection, or preservation of favoured races in the struggle for life. John Murray, London
De Frenne P, Rodriguez-Sanchez F, Coomes DA et al (2013) Microclimate moderates plant responses to macroclimate warming. Proc Natl Acad Sci 110:18561–18565. https://doi.org/10.1073/pnas.1311190110
Felsenstein J (1985) Phylogenies and the comparative method. Am Nat 125:1–15
Fick SE, Hijmans RJ (2017) WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int J Climatol 37:4302–4315. https://doi.org/10.1002/joc.5086
Fisher-Reid MC, Kozak KH, Wiens JJ (2012) How is the rate of climatic-niche evolution related to climatic-niche breadth? Evolution (N Y) 66:3836–3851. https://doi.org/10.1111/j.1558-5646.2012.01729.x
GBIF: The Global Biodiversity Information Facility (2019) What is GBIF?. Available from https://www.gbif.org/what-is-gbif
Ghalambor CK, Huey RB, Martin PR et al (2006) Are mountain passes higher in the tropics? Janzen’s hypothesis revisited. Integr Comp Biol 46:5–17. https://doi.org/10.1093/icb/icj003
Gillingham PK, Palmer SCF, Huntley B et al (2012) The relative importance of climate and habitat in determining the distributions of species at different spatial scales: a case study with ground beetles in Great Britain. Ecography 35:831–838. https://doi.org/10.1111/j.1600-0587.2011.07434.x
Gouveia SF, Hortal J, Tejedo M et al (2014) Climatic niche at physiological and macroecological scales: the thermal tolerance-geographical range interface and niche dimensionality. Glob Ecol Biogeogr 23:446–456. https://doi.org/10.1111/geb.12114
Graham CH, Ron SR, Santos JC et al (2004) Integrating phylogenetics and environmental niche models to explore speciation mechanisms in dendrobatid frogs. Evolution (N Y) 58:1781–1793
Gunderson AR, Stillman JH (2015) Plasticity in thermal tolerance has limited potential to buffer ectotherms from global warming. Proc R Soc B 282:201550401
Gvoždík L (2018) Just what is the thermal niche? Oikos 127:1701–1710. https://doi.org/10.1111/oik.05563
Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978
Hijmans R, Phillips S, Leathwick J, Elith J (2017) Package ‘dismo’: Species distribution modeling. Version 1.1.4. https://CRAN.R-project.org/package=dismo
Hutchinson GE (1957) Concluding remarks. Cold Spring Harb Symp Quant Biol 22:415–427
IUCN (2019) IUCN red list of threatened species. Version 2018.2. http://www.iucnredlist.org
Janzen DH (1967) Why mountain passes are higher in the tropics. Am Nat 101:233. https://doi.org/10.1086/282487
Jiménez L, Soberón J, Christen JA, Soto D (2019) On the problem of modeling a fundamental niche from occurrence data. Ecol Model 397:74–83. https://doi.org/10.1016/j.ecolmodel.2019.01.020
Kearney MR, Porter WP (2017) NicheMapR—an R package for biophysical modelling: the microclimate model. Ecography 40:664–674. https://doi.org/10.1111/ecog.02360
Kearney MR, Isaac AP, Porter WP (2014) microclim: global estimates of hourly microclimate based on long-term monthly climate averages. Sci Data 1:1–9. https://doi.org/10.1038/sdata.2014.6
Louthan AM, Doak DF, Angert AL (2006) Where and when do species interactions set range limits? Trends Ecol Evol 30:780–792. https://doi.org/10.1016/j.tree.2015.09.011
Muscarella R, Galante PJ, Soley-Guardia M et al (2014) ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods Ecol Evol 5:1198–1205. https://doi.org/10.1111/2041-210X.12261
Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J Biogeogr 34:102–117
Peterson AT, Soberón J, Pearson RG et al (2011) Ecological niches and geographic distributions. Princeton University Press, Princeton
Pulliam HR (2000) On the relationship between niche and distribution. Ecol Lett 3:349–361. https://doi.org/10.1007/bf00379666
Radosavljevic A, Anderson RP (2014) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41:629–643. https://doi.org/10.1111/jbi.12227
Saupe E, Barve N, Owens H et al (2018) Reconstructing ecological niche evolution when niches are incompletely characterized. Syst Biol 67:428–438. https://doi.org/10.5061/dryad.j3f5j
Phillips SJ, Dudik M, Schapire RE, et al. (2004) A maximum entropy approach to species distribution modeling. In: Proceedings of the 21st International Conference on Machine Learning, pp 655–662
Schemske DW, Mittelbach GG, Cornell HV et al (2009) Is there a latitudinal gradient in the importance of biotic interactions? Annu Rev Ecol Evol Syst 40:245–269. https://doi.org/10.1146/annurev.ecolsys.39.110707.173430
Soberón J (2007) Grinnellian and Eltonian niches and geographic distributions of species. Ecol Lett 10:1115–1123
Sunday JM, Bates AE, Dulvy NK (2012) Thermal tolerance and the global redistribution of animals. Nat Clim Change 2:686–690. https://doi.org/10.1038/nclimate1539
Terblanche JS, Deere JA, Clusella-Trullas S et al (2007) Critical thermal limits depend on methodological context. Proc R Soc B Biol Sci 274:2935–2942. https://doi.org/10.1098/rspb.2007.0985
Williams JW, Jackson ST, Kutzbach JE (2007) Projected distributions of novel and disappearing climates by 2100 AD. Proc Natl Acad Sci USA 104:5738–5742
Acknowledgements
The authors would like to thank Melissa Hernández for invaluable help compiling locality and physiological information from the literature. We would also like to thank Jamie Kass, the Evolvert, and @CrawLab at Universidad de los Andes in Bogota, Colombia and two anonymous reviewers for helpful comments and suggestions that greatly improved this manuscript. Finally, the @CrawLab for discussions leading to this project Work by AP is co-funded by a Fulbright-Colciencias fellowship and FAPESP (BIOTA, 2013/50297-0), NSF (DEB 1343578), and NASA, through the Dimensions of Biodiversity Program.
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Paz, A., Guarnizo, C.E. Environmental ranges estimated from species distribution models are not good predictors of lizard and frog physiological tolerances. Evol Ecol 34, 89–99 (2020). https://doi.org/10.1007/s10682-019-10022-3
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DOI: https://doi.org/10.1007/s10682-019-10022-3