Spatial evolutionary and ecological vicariance analysis (SEEVA), a novel approach to biogeography and speciation research, with an example from Brazilian Gentianaceae
2011; Wiley; Volume: 38; Issue: 10 Linguagem: Inglês
10.1111/j.1365-2699.2011.02532.x
ISSN1365-2699
AutoresLena Struwe, Peter E. Smouse, Einar Heiberg, Scott Haag, Richard G. Lathrop,
Tópico(s)Evolution and Paleontology Studies
ResumoJournal of BiogeographyVolume 38, Issue 10 p. 1841-1854 SPECIAL PAPER Spatial evolutionary and ecological vicariance analysis (SEEVA), a novel approach to biogeography and speciation research, with an example from Brazilian Gentianaceae Lena Struwe, Corresponding Author Lena Struwe Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ 08901-8551, USA Department of Plant Biology & Pathology, Rutgers University, New Brunswick, NJ 08901-8551, USA Lena Struwe, Department of Ecology, Evolution & Natural Resources, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551, USA.E-mail: [email protected]Search for more papers by this authorPeter E. Smouse, Peter E. Smouse Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ 08901-8551, USASearch for more papers by this authorEinar Heiberg, Einar Heiberg Department of Clinical Physiology, Lund University, SE-221 85 Lund, SwedenSearch for more papers by this authorScott Haag, Scott Haag Center for Remote Sensing & Spatial Analysis, Rutgers University, New Brunswick, NJ 08901-8551, USASearch for more papers by this authorRichard G. Lathrop, Richard G. Lathrop Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ 08901-8551, USA Center for Remote Sensing & Spatial Analysis, Rutgers University, New Brunswick, NJ 08901-8551, USASearch for more papers by this author Lena Struwe, Corresponding Author Lena Struwe Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ 08901-8551, USA Department of Plant Biology & Pathology, Rutgers University, New Brunswick, NJ 08901-8551, USA Lena Struwe, Department of Ecology, Evolution & Natural Resources, Rutgers University, 14 College Farm Road, New Brunswick, NJ 08901-8551, USA.E-mail: [email protected]Search for more papers by this authorPeter E. Smouse, Peter E. Smouse Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ 08901-8551, USASearch for more papers by this authorEinar Heiberg, Einar Heiberg Department of Clinical Physiology, Lund University, SE-221 85 Lund, SwedenSearch for more papers by this authorScott Haag, Scott Haag Center for Remote Sensing & Spatial Analysis, Rutgers University, New Brunswick, NJ 08901-8551, USASearch for more papers by this authorRichard G. Lathrop, Richard G. Lathrop Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ 08901-8551, USA Center for Remote Sensing & Spatial Analysis, Rutgers University, New Brunswick, NJ 08901-8551, USASearch for more papers by this author First published: 13 June 2011 https://doi.org/10.1111/j.1365-2699.2011.02532.xCitations: 23Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Aim Spatial evolutionary and ecological vicariance analysis (SEEVA) is a simple analytical method that evaluates environmental or ecological divergence associated with evolutionary splits. It integrates evolutionary hypotheses, phylogenetic data, and spatial, temporal, environmental and geographical information to elucidate patterns. Using a phylogeny of Prepusa Mart. and Senaea Taub. (Angiospermae: Gentianaceae), SEEVA is used to describe the radiation and ecological patterns of this basal gentian group across south-eastern Brazil. Location Latin America, global. Methods Environmental data for 151 geolocated botanical collections, associated with specimens from seven species, were compiled with ArcGIS, and were matched with geolocated base layers of eight climatological variables, as well as one each of geological, soil type, elevational and vegetation variables. Sister groups were defined on the basis of the six nested nodes that defined the phylogenetic tree of these two genera. A (0, 1)-scaled divergence index (D) was defined and tested for each of 12 environmental and for each of the six phylogenetic nodes, by means of contingency analyses. We contrast divergence indices of nested clades, allopatric and sympatric sister clades. Results The level of ecological divergence between sister clades/species, defined in terms of D measures, was substantial for five of six nodes, with 21 of 72 environmental comparisons having D > 0.75. Soil types and geological age of bedrock were strongly divergent only for basal nodes in the phylogeny, by contrast with temperature and precipitation, which exhibited strong divergence at all nodes. There has been strong divergence and progressive occupation of wetter and colder habitats throughout the history of Prepusa. 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