References
Allcock, A.L. & Strugnell, J.M. (2012). Southern Ocean diversity: new paradigms from
molecular ecology. Trends in Ecology & Evolution , 27, 520-528.
Allen, A.P., Brown, J.H. & Gillooly, J.F. (2002). Global biodiversity, biochemical kinetics, and
the energetic-equivalence rule. Science , 297, 1545-1548.
Almada, V.C., Almada, F., Francisco, S.M., Castilho, R. & Robalo, J.I. (2012). Unexpected high
genetic diversity at the extreme northern geographic limit ofTaurulus bubalis (Euphrasen, 1786). PLoS ONE, 7, e44404.
Assis, J., Tyberghein, L., Bosch, S., Verbruggen, H., Serrão, E.A. & De Clerck, O. (2018). Bio
ORACLE v2.0: Extending marine data layers for bioclimatic modelling.Global Ecology and Biogeography, 27, 277-284.
Ballard, J.W.O. & Whitlock, M.C. (2003). The incomplete natural history of mitochondria.
Molecular Ecology , 13, 729-744.
Barbará, T., Palma-Silva, C., Paggi, C.M., Bered, F., Fay, M.F. & Lexer, C. (2007). Cross
species transfer of nuclear microsatellite markers: potential and limitations. Molecular Ecology, 16, 3759-3767.
Bates, D., Mächler, M., Bolker, B. & Walker, S. (2014). Fitting linear mixed-effects models
using lme4. arXiv preprint arXiv: 1406.5823 .
Bazin, E., Glémin, S. & Galtier, N. (2006). Population size does not influence mitochondrial
genetic diversity in animals. Science , 312, 570-572.
Bergmann, C. (1847). Ueber die verhältnisse der wärmeökonomie der thiere zu ihrer grösse.
Gottinger studien , 3, 595-708.
Birky, C.W., Fuerst, P. & Maruyama, T. (1989). Organelle gene diversity under migration,
mutation, and drift: equilibrium expectations, approach to equilibrium, effects of heteroplasmic cells, and comparison to nuclear genes.Genetics, 121, 613-627.
Bosch, S. & Fernandez, S. (2021). sdmpredictors: species distribution modelling predictor
datasets. R package version 0.2.10. See https://CRAN.R-project.org/package=sdmpredictors
Bringloe, T.T., Verbruggen, H. & Saunders, G.W. (2020). Unique biodiversity in Arctic marine
forests is shaped by diverse recolonization pathways and far northern glacial refugia. Proceedings of the National Academy of Sciences, 117, 22590-22596.
Burnham, K.P. & Anderson, D.R. (2002). Model selection and multimodal inference: a practical
information-theoretic approach. Springer New York, New York, NY.
Canty, A. & Ripley, B.D. (2022) boot: Bootstrap R (S-Plus) Functions . R package version 1.3
28.1.
Charlesworth, B. (2009) Effective population size and patterns of molecular evolution and
variation. Nature Review Genetics , 10, 195-205.
Chaudhary, C., Saeedi, H. & Costello, M.J. (2016). Bimodality of latitudinal gradients in marine
species richness. Trends in Ecology & Evolution , 31, 670-676.
Clark, R.D., Aardema, M.L., Andolfatto, P., Barber, P.H., Hattori, A., Hoey, J.A., et al . (2021).
Genomic signatures of spatially divergent selection at clownfish range margins. Proceedings of the Royal Society B: Biological Sciences, 288, 20210407.
Core Team R. 2023: R a language and environment for statistical computing . Vienna, Austria: R
Foundation for Statistical Computing.
Davies, R.G., Orme, C.D.L., Storch, D., Olson, V.A., Thomas, G.H., Ross, S.G., et al . (2007).
Topography, energy and the global distribution of bird species richness.Proceedings of the Royal Society B: Biological Sciences, 274, 1189-1197.
De Kort, H., Prunier, J.G., Ducatez, S., Honnay, O., Baguette, M., Stevens, V.M., et al . (2021).
Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations. Nature Communications, 12, 516.
Eckert, C.G., Samis, K.E. & Lougheed, S.C. (2008). Genetic variation across species’
geographical ranges: the central-marginal hypothesis and beyond.Molecular Ecology, 17, 1170-1188.
Evans, K.L., Warren, P.H. & Gaston, K.J. (2005). Species-energy relationships at the
macroecological scale: a review of the mechanisms. Biological Reviews , 80, 1-25.
Fan, G., Song, Y., Yang, L., Huang, X., Zhang, S., Zhang, M., et al . (2020) Initial data release
and announcement of the 10,000 Fish Genomes Project (Fish10K).GigaScience, 9, giaa080.
Fernández-Torres, F., Martínez, P.A. & Olalla-Tárraga, M.Á. (2018). Shallow water ray-finned
marine fishes follow Bergmann’s rule. Basic and Applied Ecology , 33, 99-110.
Francisco, S.M., Robalo, J.I., Levy, A. & Almada, V.C. (2014). In search of phylogeographic
patterns in the Northeastern Atlantic and adjacent seas.Evolutionary Biology: Genome Evolution, Speciation, Coevolution and Origin of Life, 323-338.
Fraser, C.I., Nikula, R., Ruzzante, D.E. & Waters, J.M. (2012). Poleward bound: biological
impacts of Southern Hemisphere glaciation. Trends in Ecology & Evolution , 27, 462-471.
French, C.M., Bertola, L.D., Carnaval, A.C., Economo, E.P., Kass, J.M., Lohman, D.J., et al .
(2022). Global determinants of insect genetic diversity. bioRxiv .
Galtier, N., Nabholz, B., Glémin, S. & Hurst, G.D.D. (2009). Mitochondrial DNA as a marker of
molecular diversity: a reappraisal. Molecular Ecology , 18, 4541-4550.
Gillooly, J.F., Allen, A.P., West, G.B. & Brown, J.H. (2004). The rate of DNA evolution: effects
of body size and temperature on the molecular clock. Proceedings of the National Academy of Sciences, 102, 140-145.
Gratton, P., Marta, S., Bocksberger, G., Winter, M., Keil, P., Trucchi, E. et al . (2017). Which
latitudinal gradients for genetic diversity? Trends in Ecology & Evolution , 32, 724-726.
Harrison, X.A. (2015). A comparison of observation-level random effect and beta-binomial
models for modelling overdispersion in binomial data in ecology & evolution. PeerJ, 3, e1114.
Hartig, F. (2021). DHARMa: Residual diagnostics for hierarchical (multi-level/mixed)
regression models. R package version 0.4.3. See https://CRAN.R-project.org/package=DHARMa.
Hewitt, G. (2000). The genetic legacy of the Quaternary ice ages.Nature , 405, 907-913.
Hoffmann, S., Spitkovsky, D., Radicella, J.P., Epe, B. & Wiesner, R.J. (2004). Reactive oxygen
species derived from the mitochondrial respiratory chain are not responsible for the basal levels of oxidative base modifications observed in nuclear DNA of mammalian cells. Free Radical Biology and Medicine, 36, 765-773.
James, J. & Eyre-Walker, A. (2020). Mitochondrial DNA sequence diversity in mammals: a
correlation between the effective and census population sizes.Genome Biology and Evolution, 12, 2441-2449.
Jenkins, T.L., Castilho, R. & Stevens, J.R. (2018). Meta-analysis of northeast Atlantic marine
taxa shows contrasting phylogeographic patterns following post-LGM expansions. PeerJ, 6, e5684.
Kaschner, K., Kesner-Reyes, K., Garilao, C., Rius-Barile, J., Rees, T. & Froese, R. (2019).
AquaMaps: Predicted range maps for aquatic species, version 08/2016c .
Lawrence, E.R. & Fraser, D.J. (2020). Latitudinal biodiversity gradients at three levels: Linking
species richness, population richness and genetic diversity.Global Ecology and Biogeography, 29, 770-778.
Lawrence, E.R. & Fraser, D.J. (2021). Macrogenetics reveals multifaceted influences of
environmental variation on vertebrate population genetic diversity across the Americas. bioRxiv.
Leigh, D.M., van Rees, C.B., Millette, K.L., Breed, M.F., Schmidt, C., Bertola, L.D., et al .
(2021). Opportunities and challenges of macrogenetic studies.Nature Review Genetics, 22, 791-807.
Lessa, E.P., D’Elía, G., Pardiñas, U.F.J. (2010). Genetic footprints of late Quaternary climate
change in the diversity of Patagonian-Fueguian rodents. Molecular Ecology, 19, 3031-3037.
Li, Y., Wang, S., Cheng, C., Zhang, J., Wang, S., Hou, X., et al . (2021) Latitudinal gradients in
genetic diversity and natural selection at a highly adaaptive gene in terrestrial mammals. Ecography, 44, 206-218.
Lüdecke, D. (2021). sjPlot: data visualization for statistics in social science. R package version
2.8.10. Seehttps://CRAN.R-project.org/package=sjPlot.
Maggs, C.A., Castilho, R., Foltz, D., Henzler, C., Jolly, M.T., Kelly, J., et al . (2008) Evaluating
signatures of glacial refugia for North Atlantic benthic marine taxa.Ecology, 89, S108-S122.
Manel, S., Guerin P.-E., Mouillot, D., Blanchet, S., Velez, L., Albouy, C., et al . (2020). Global
determinants of freshwater and marine fish genetic diversity.Nature Communications, 11, 692.
Martin, P.R. & McKay, J.K. (2004). Latitudinal variation in genetic divergence of populations
and the potential for future speciation. Evolution , 58, 938-945.
Martin, A.P. & Palumbi, S.R. (1993). Body size, metabolic rate, generation time, and the
molecular clock. Proceedings of the National Academy of Sciences , 90, 4087-4091.
Martínez, L., Freire, R., Arias-Pérez, A., Méndez, J. & Insua, A. (2015). Patterns of genetic
variation across the distribution range of the cockle Cerastoderma edule inferred from microsatellites and mitochondrial DNA. Marine Biology, 162, 1393-1406.
Mattingsdal, M., Jorde, P.E., Knutsen, H., Jentoft, S., Stenseth, N.C., Sodeland, M., et al . (2020).
Demographic history has shaped the strongly differentiated corkwing wrasse populations in Northern Europe. Molecular Ecology, 29, 160-171.
Messmer, V., Jones, G.P., Munday, P.L. & Planes, S. (2012). Concordance between genetic and
species diversity in coral reef fishes across the Pacific Ocean biodiversity gradient. Evolution, 66, 3902-3917.
Miraldo, A., Li, S., Borregaard, M.K., Flórez-Rodríguez, A., Gopalakrishnan, S., Rizvanovic,
M., et al . (2016). An Anthropocene map of genetic diversity.Science , 353, 1532-1535.
Mittell, E.A., Nakagawa, S. & Hadfield, J.D. (2015). Are molecular markers useful predictors of
adaptive potential? Ecology Letters , 18, 772-778.
Nabholz, B., Glémin, S. & Galtier, N. (2009). The erratic mitochondrial clock: variations of
mutation rate, not population size, affect mtDNA diversity across birds and mammals. BMC Evolutionary Biology, 9, 54.
Palumbi, S.R. (1992). Marine speciation on a small planet. Trends in Ecology & Evolution , 7,
114-118.
Paz-Vinas, I., Jensen, E.L., Bertola, L.D., Breed, M.F., Hand, B.K., Hunter, M.E., et al . (2021).
Macrogenetics must not ignore limitations of genetic markers and scale.Ecology Letters, 24, 1282-1284.
Pinsky, M.L. & Palumbi, S.R. (2014). Meta-analysis reveals lower genetic diversity in
overfished populations. Molecular Ecology , 23, 29-39.
Pringle, J.M. & Wares, J.P. (2007). Going against the flow: maintenance of alongshore variation
in allele frequency in a coastal ocean. Marine Ecology Progress Series , 335, 69-84.
Rapoport, E.H. (1982). Areography: geographical strategies of species.Trans. B. Drausal . Vol.
1. Pergamon, New York.
Reed, D.H. & Frankham, R. (2003). Correlation between fitness and genetic diversity.
Conservation Biology , 17, 230-237.
Ritland, A. (1996). Estimators for pairwise relatedness and individual inbreeding coefficients.
Genetics Research , 67, 175-185.
Robalo, J.I., Francisco, S.M., Vendrell, C., Lima, C.S., Pereira, A., Brunner, B.P., et al . (2020).
Against all odds: a tale of marine range expansion with maintenance of extremely high genetic diversity. Scientific Reports, 10, 12707.
Rolland, J., Condamine, F.L., Jiguet, F. & Morlon, H. (2014). Faster speciation and reduced
extinction in the tropics contribute to the mammalian latitudinal diversity gradient. PLoS Biology, 12, e1001775.
Satoh, T.P., Miya, M., Mabuchi, K. & Nishida, M. (2016). Structure and variation of the
mitochondrial genome of fishes. BMC Genomics , 17, 719.
Schmidt, C., Dray, S., Garroway, C.J. (2022). Genetic and species-level biodiversity patterns are
linked by demography and ecological opportunity. Evolution , 76, 86-100.
Selkoe, K.A., D’Aloia, C.C., Crandall, E.D., Iacchei, M., Liggins, L., Puritz, J.B., et al . (2016).
A decade of seascape genetics: contributions to basic and applied marine connectivity. Marine Ecology Progress Series, 554, 1-19.
Steele, J.H., Brink, K.H. & Scott, B.E. (2019). Comparison of marine and terrestrial ecosystems:
suggestions of an evolutionary perspective influenced by environmental variation. ICES Journal of Marine Science, 76, 50-59.
Strathmann, R.R. (1990). Why life histories evolve differently in the sea? American Zoologist ,
30, 197-207.
Suggitt, A.J., Wilson, R.J., Isaac, N.J.B., Beale, C.M., Auffret, A.G., August, T., et al . (2018).
Extinction risk from climate change is reduced by microclimatic buffering. Nature Climate Change, 8, 713-717.
Theodoridis, S., Fordham, D.A., Brown, S.C., Li, S., Rahbek, C. & Nogues-Bravo, D. (2020).
Evolutionary history and past climate change shape the distribution of genetic diversity in terrestrial mammals. Nature Communications, 11, 2557.
Thomas, J.A., Welch, J.J., Lanfear, R. & Bromham, L. (2010). A generation time effect on the
rate of molecular evolution in invertebrates. Molecular Biology and Evolution, 27, 1173-1180.
Tittensor, D.P., Mora, C., Jetz, W., Lotze, H.K., Ricard, D., et al . (2010). Global patterns and
predictors of marine biodiversity across taxa. Nature , 466, 1098-1101.
Toro, M.A., Fernández, J. & Caballero, A. (2009). Molecular characterization of breeds and its
use in conservation. Livestock Science , 120, 174-195.
Tyberghein, L., Verbruggen, H., Pauly, K., Troupin, C., Mineur, F. & De Clerck, O. (2012). Bio
ORACLE: a global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272-281.
Vellend, M. & Geber, M.A. (2005). Connections between species diversity and genetic diversity.
Ecology Letters , 8, 767-781.
Waples, R.S. (2010). Spatial-temporal stratifications in natural populations and how they affect
understanding and estimation of effective population size.Molecular Ecology Resources, 10, 785-796.
Wright, D.H. (1983). Species-energy theory: an extension of species-area theory. Oikos , 41, 496
506.
Wright, S.D., Ross, H.A., Keeling, D.J., McBride, P. & Gillman, L.N. (2011). Thermal energy
and the rate of genetic evolution in marine fishes. Evolutionary Ecology , 25, 525-530.