{"refrec":{"BRefID":348291,"RR":"<b>Kerr, M.R.; Alroy, J.</b> (2021). Marine diversity patterns in Australia are filtered through biogeography. <i>Proc. - Royal Soc., Biol. Sci. 288(1962)</i>: 20211534. <a href=\"https://dx.doi.org/10.1098/rspb.2021.1534\" target=\"_blank\">https://dx.doi.org/10.1098/rspb.2021.1534</a>","BEntID":344985,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Proc. - Royal Soc., Biol. Sci. 288(1962)</i>: 20211534. <a href=\"https://dx.doi.org/10.1098/rspb.2021.1534\" target=\"_blank\">https://dx.doi.org/10.1098/rspb.2021.1534</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Kerr, M.R.; Alroy, J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Kerr, M.R.; Alroy, J.","Englishabstract":"Latitudinal diversity gradients are among the most striking patterns in nature. Despite a large body of work investigating both geographic and environmental drivers, biogeographical provinces have not been included in statistical models of diversity patterns. Instead, spatial studies tend to focus on species–area and local–regional relationships. Here, we investigate correlates of a latitudinal diversity pattern in Australian coastal molluscs. We use an online database of greater than 300 000 specimens and quantify diversity using four methods to account for sampling variation. Additionally, we present a biogeographic scheme using factor analysis that allows for both gradients and sharp boundaries between clusters. The factors are defined on the basis of species composition and are independent of diversity. Regardless of the measure used, diversity is not directly explained by combinations of abiotic variables. Instead, transitions between regions better explain the observed patterns. Biogeographic gradients can in turn be explained by environmental variables, suggesting that environmental controls on diversity may be indirect. Faunas within provinces are homogeneous regardless of environmental variability. Thus, transitions between provinces explain most of the variation in diversity because small-scale factors are dampened. This explanation contrasts with the species-energy hypothesis. Future work should more carefully consider biogeographic gradients when investigating diversity patterns.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Marine diversity patterns in Australia are filtered through biogeography","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-06-05 01:31:25.878810","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2021,"MonPub":null,"DateUpdate":"2022-02-28","DateCreate":"2021-12-16","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000716371100008","VABBcode":null,"OpenAcc":1,"DOI":"10.1098/rspb.2021.1534"},"refs":null,"anarec":{"AnaID":348291,"PubliDate":2021,"Pagination":"20211534","XtraPublOfAnaID":null,"ISBN":null,"Volume":"288","Issue":"1962","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":204863,"SerRR":"Proceedings of the Royal Society of London. 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