Computational biomes : The ecometrics of large mammal teeth

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dc.contributor.author Galbrun, Esther
dc.contributor.author Tang, Hui
dc.contributor.author Fortelius, Mikael
dc.contributor.author Zliobaite, Indre
dc.date.accessioned 2018-05-18T10:16:02Z
dc.date.available 2018-05-18T10:16:02Z
dc.date.issued 2018
dc.identifier.citation Galbrun , E , Tang , H , Fortelius , M & Zliobaite , I 2018 , ' Computational biomes : The ecometrics of large mammal teeth ' , Palaeontologia electronica , vol. 21 , no. 1 , 3A . https://doi.org/10.26879/786
dc.identifier.other PURE: 106969156
dc.identifier.other PURE UUID: 9ce5c4af-234f-436c-81ee-6d39d913000b
dc.identifier.other WOS: 000431058700009
dc.identifier.other Scopus: 85044102026
dc.identifier.other ORCID: /0000-0002-4851-783X/work/44998457
dc.identifier.other ORCID: /0000-0003-2427-5407/work/45000106
dc.identifier.uri http://hdl.handle.net/10138/235226
dc.description.abstract As organisms are adapted to their environments, assemblages of taxa can be used to describe environments in the present and in the past. Here, we use a data mining method, namely redescription mining, to discover and analyze patterns of association between large herbivorous mammals and their environments via their functional traits. We focus on functional properties of animal teeth, characterized using a recently developed dental trait scoring scheme. The teeth of herbivorous mammals serve as an interface to obtain energy from food, and are therefore expected to match the types of plant food available in their environment. Hence, dental traits are expected to carry a signal of environmental conditions. We analyze a global compilation of occurrences of large herbivorous mammals and of bioclimatic conditions. We identify common patterns of association between dental traits distributions and bioclimatic conditions and discuss their implications. Each pattern can be considered as a computational biome. Our analysis distinguishes three global zones, which we refer to as the boreal-temperate moist zone, the tropical moist zone and the tropical-subtropical dry zone. The boreal-temperate moist zone is mainly characterized by seasonal cold temperatures, a lack of hypsodonty and a high share of species with obtuse lophs. The tropical moist zone is mainly characterized by high temperatures, high isothermality, abundant precipitation and a high share of species with acute rather than obtuse lophs. Finally, the tropical dry zone is mainly characterized by a high seasonality of temperatures and precipitation, as well as high hypsodonty and horizodonty. We find that the dental traits signature of African rain forests is quite different from the signature of climatically similar sites in North America and Asia, where hypsodont species and species with obtuse lophs are mostly absent. In terms of climate and dental signatures, the African seasonal tropics share many similarities with Central-South Asian sites. Interestingly, the Tibetan plateau is covered both by redescriptions from the tropical-subtropical dry group and by redescriptions from the boreal-temperate moist group, suggesting a combination of features from both zones in its dental traits and climate. en
dc.format.extent 31
dc.language.iso eng
dc.relation.ispartof Palaeontologia electronica
dc.rights cc_by_nc_sa
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject ecometrics
dc.subject redescription mining
dc.subject dental traits
dc.subject large mammals
dc.subject data mining
dc.subject CLIMATE-CHANGE
dc.subject FOSSIL RECORD
dc.subject RAIN-FOREST
dc.subject ECOSYSTEMS
dc.subject PRECIPITATION
dc.subject TRAITS
dc.subject DISTRIBUTIONS
dc.subject PRODUCTIVITY
dc.subject COMMUNITIES
dc.subject HYPSODONTY
dc.subject 1171 Geosciences
dc.subject 1172 Environmental sciences
dc.title Computational biomes : The ecometrics of large mammal teeth en
dc.type Article
dc.contributor.organization Department of Geosciences and Geography
dc.contributor.organization Department of Computer Science
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.26879/786
dc.relation.issn 1935-3952
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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