LEADER 03946nam 2200505z- 450 001 9910557662603321 005 20211118 035 $a(CKB)5400000000044880 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/73707 035 $a(oapen)doab73707 035 $a(EXLCZ)995400000000044880 100 $a20202111d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aExamining Evolutionary Trends in Equus and Its Close Relatives From Five Continents 210 $cFrontiers Media SA$d2020 215 $a1 online resource (243 p.) 311 08$a2-88963-555-4 330 $aEvolution of the horse has been an often-cited primary example of evolution, as well as one of the classic and important stories in paleontology for over a century and a half, due to their rich fossil record across 5 continents: North America, South America, Europe, Asia and Africa. The recent horse has served a profound role in human ancestry, including agriculture, commerce, sport, transport, warfare, and in prehistory, for the subsistence of humans. Many studies have examined the evolution of the Equidae and chronicled the striking changes in skulls, dentition, limbs, and body size which have long been perceived to be a response to environmental shifts through time. Most comprehensive studies heretofore have: (1) focused on the "Great Transformation"- changes that occurred in the early Miocene, (2) involved tracking long-term diversity or paleoecological trends on a single continent or within a geographical locality, or (3) concentrated on the 3-toed hipparions. The Plio-Pleistocene evolutionary stage of horse evolution is punctuated by the great climatic fluctuations of the Quaternary beginning 2.6 Ma which influenced Equus evolution, biogeographic dispersion and adaptation on a nearly global scale. The evolutionary biology of Equus evolution across its entire range remains relatively poorly understood and often highly controversial. Some of this lack of understanding is due to assumptions that have arisen because of the relatively derived craniodental and postcranial anatomy of Equus and its close relatives which has seemed to imply that that these forms occupied relatively homogenous and narrow dietary and locomotor niches - notions that have not been adequately addressed and rigorously tested. Other challenges have revolved around teasing apart environmentally-driven adaptation versus phylogenetically defined morphological change. Geochronologic age control of localities, geographic provinces and continents has improved, but in no way is absolute and can be reexamined in our proposed volume. Temporal resolution for paleodietary, paleohabitat and paleoecological interpretations are also challenging for understanding the evolution of Equus. Our proposed volume attempts to assemble a group of experts who will address multiple dimensions of Equus' evolution in time and space. 606 $aEcological science, the Biosphere$2bicssc 606 $aScience: general issues$2bicssc 610 $aBiogeography 610 $aEcomorphology 610 $aEquus 610 $aPaleoecology 610 $aTaxonomy 615 7$aEcological science, the Biosphere 615 7$aScience: general issues 700 $aLouis Bernor$b Raymond$4edt$01314789 702 $aMarie Semprebon$b Gina$4edt 702 $aRivals$b Florent$4edt 702 $aSantos Avilla$b Leonardo$4edt 702 $aScott$b Eric$4edt 702 $aLouis Bernor$b Raymond$4oth 702 $aMarie Semprebon$b Gina$4oth 702 $aRivals$b Florent$4oth 702 $aSantos Avilla$b Leonardo$4oth 702 $aScott$b Eric$4oth 906 $aBOOK 912 $a9910557662603321 996 $aExamining Evolutionary Trends in Equus and Its Close Relatives From Five Continents$93031968 997 $aUNINA LEADER 03447nam 22007455 450 001 9910484259503321 005 20251225205537.0 010 $a3-319-58771-4 024 7 $a10.1007/978-3-319-58771-4 035 $a(CKB)4340000000061523 035 $a(DE-He213)978-3-319-58771-4 035 $a(MiAaPQ)EBC5576417 035 $a(PPN)201471310 035 $a(EXLCZ)994340000000061523 100 $a20170517d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aScale Space and Variational Methods in Computer Vision $e6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings /$fedited by François Lauze, Yiqiu Dong, Anders Bjorholm Dahl 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 708 p. 244 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v10302 300 $aIncludes index. 311 08$a3-319-58770-6 327 $aScale Space and PDE Methods -- Restoration and Reconstruction -- Tomographic Reconstruction -- Segmentation -- Convex and Non-Convex Modeling and Optimization in Imaging -- Optical Flow, Motion Estimation and Registration -- 3D Vision. 330 $aThis book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v10302 606 $aComputer vision 606 $aComputer graphics 606 $aPattern recognition systems 606 $aAlgorithms 606 $aApplication software 606 $aComputer science 606 $aComputer Vision 606 $aComputer Graphics 606 $aAutomated Pattern Recognition 606 $aAlgorithms 606 $aComputer and Information Systems Applications 606 $aTheory of Computation 615 0$aComputer vision. 615 0$aComputer graphics. 615 0$aPattern recognition systems. 615 0$aAlgorithms. 615 0$aApplication software. 615 0$aComputer science. 615 14$aComputer Vision. 615 24$aComputer Graphics. 615 24$aAutomated Pattern Recognition. 615 24$aAlgorithms. 615 24$aComputer and Information Systems Applications. 615 24$aTheory of Computation. 676 $a006.37 702 $aLauze$b François$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDong$b Yiqiu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDahl$b Anders Bjorholm$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484259503321 996 $aScale Space and Variational Methods in Computer Vision$94381134 997 $aUNINA