Further progress in historical biogeography

Ebach, Malte C.; Morrone, Juan J.; Sanmartín, Isabel; Escalante, Tania

doi:10.1071/sbv30n6_ed

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Historical biogeography is a field in continuous development, in which new methodological approaches are being incorporated in order to deal with some limitations (Ebach et al 2017). In this sense, our methodological approach allows: 1) the combination of information from different genomic compartments typically used to differentiate between subspecies; 2) the study of their historical distributions in a uniform and synthetic way; and 3) the reconstruction of historical distributions that have been artificially altered by human activities.…”

Section: Discussionmentioning

confidence: 99%

Unravelling the historical biogeography of the European rabbit subspecies in the Iberian Peninsula

et al. 2022

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1. Understanding the biogeography of species in space and time is essential for the development of evidence-based conservation and management plans. In this paper we propose a biogeographical spatial modelling approach based on the favourability function, and developed under a fuzzy logic framework, to unravel the historical biogeography of the two European wild rabbit subspecies, Oryctolagus cuniculus algirus (Oca) and Oryctolagus cuniculus cuniculus (Occ), in the Iberian Peninsula (IP). 2. We first reviewed published and unpublished information (PhD theses, scientific papers, technical reports, etc.

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Section: Discussionmentioning

confidence: 99%

Unravelling the historical biogeography of the European rabbit subspecies in the Iberian Peninsula

et al. 2022

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“…No attempt is made here to summarize, much less critically review, the myriad philosophies and/or methods conceived and/or implemented during past two decades or so. An eclectic list of references give some idea of the philosophical polemic and parametric complexity: Nathan (2006;Nathan et al 2008 Ebach et al (2017). In addition, molecular dating has spawned a new paradigm, genomic geochronology (Baker et al 2014).…”

Section: Montiaceae Biogeography and Biogeographic Epistemologymentioning

confidence: 99%

Systematics, Evolution, and Phylogeography of <em>Montiaceae (Portulacineae)</em>

Hershkovitz¹

2019

Preprint

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Montiaceae (Portulacineae) comprise a clade of at least 268 species plus ca. 27 subspecific taxa primarily of western North America, the Chilean Floristic Region, and temperate Australasia.  This work uses existing phylogenetic metadata to elaborate a new cladistic taxonomic synthesis.  A total of 24 taxa are validated, nine new and 15 necessary nomenclatural recombinations.  Hypotheses of Montiaceae historical biogeographical, ecological, and phenotypic evolution are evaluated in light of recent metadata and in terms of classical, contemporary, and novel systematic and evolutionary epistemology.

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“…Although the field of pattern-based biogeography has experienced vigorous debates about its objectives, principles and methods, a general agreement among different lines of research has not yet been achieved (Sluys, 2021). This is comprehensible, even expected: a single method would hardly encompass all of the complexity of the spatialtemporal history of organismal distribution and all of the geological phenomena that constantly modify the face of the Earth (Amorim & Santos, 2018;Ebach et al, 2017Ebach et al, , 2018Morrone, 2020).…”

Section: Introductionmentioning

confidence: 99%

SAMBA: Super area‐cladogram after resolving multiple biogeographical ambiguities

Santos

Sampronha

Hammoud

et al. 2023

Journal of Biogeography

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Aim: Cladistic biogeography is all about congruence: when individual area cladograms coincide, they result in a general area cladogram that reveals shared history. However, the complexities of the natural world hamper the reconstruction of fully solved biogeographical patterns. Herein, we present SAMBA (super area-cladogram after resolving multiple biogeographical ambiguities), a pattern-based method combining supertrees and area cladograms to depict the relationships among areas. We also present a prototypical implementation of SAMBA as a web-based framework named iSAMBA. Location: Global.Taxon: Any taxon can be analysed with SAMBA.Methods: SAMBA is based on phylogenetic supertrees, a technique that combines previously calculated phylogenetic trees to produce a general area cladogram representing conciliatory and non-ambiguous patterns of relationships. In our method, the input topologies are individual area cladograms. SAMBA is implemented through a web-based framework named iSAMBA. We analysed a theoretical and a real scenario to compare SAMBA with primary Brooks parsimony analysis (BPA), component analysis, three area statement analysis (TAS) and the transparent method.Results: SAMBA produces area cladograms that converge with the actual history of fragmentations of both hypothetical and real scenarios used as examples of implementation of the method. Primary BPA, component analysis, TAS and the transparent method are much more affected by the "biogeographical noise" (e.g. multiple areas in a single terminal, paralogies and missing areas) than SAMBA.Main Conclusions: SAMBA results in more informative general area cladograms than other pattern-based biogeographical methods. SAMBA reveals shared patterns of biotic distribution without generating multiple unreliable area cladograms. The main advantage of SAMBA is the simplicity of using a single technique to extract biogeographical information from individual area cladograms and combine them to depict a non-ambiguous general pattern of relationships among areas.

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Further progress in historical biogeography

Cited by 4 publications

References 8 publications

Unravelling the historical biogeography of the European rabbit subspecies in the Iberian Peninsula

Unravelling the historical biogeography of the European rabbit subspecies in the Iberian Peninsula

Systematics, Evolution, and Phylogeography of <em>Montiaceae (Portulacineae)</em>

SAMBA: Super area‐cladogram after resolving multiple biogeographical ambiguities

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