Quantitative panbiogeography: was the congruence problem solved?

Ferrari, Augusto; Barão, Kim Ribeiro; Simões, Felipe Lorenz

doi:10.1080/14772000.2013.834488

Cited by 11 publications

(7 citation statements)

References 45 publications

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“…For identifying generalized tracks, there are three software packages available: Trazos 2004 (Rojas Parra, ), Croizat (Cavalcanti, ) and MartiTracks (Echeverría‐Londoño & Miranda‐Esquivel, ). Unfortunately, these software packages consider any degree of overlap between parts of two or more individual tracks as a generalized track (for a critique of MartiTracks see Ferrari et al ., ). This is a substantial modification of the concept of a generalized track, which results from the significant superposition of two or more individual tracks, not parts of them (Zunino & Zullini, ; Crisci et al ., , ; Morrone, ).…”

Section: How Can Pae Be Justified?mentioning

confidence: 97%

“…(), when criticizing a software package aimed at identifying areas of endemism (Dos Santos et al ., ), endemism should be based on distributional congruence, not merely overlap. At the moment, implementation of PAE‐PCE (Echeverry & Morrone, ) seems to be the best approach for identifying generalized tracks (Ferrari et al ., ).…”

Section: How Can Pae Be Justified?mentioning

confidence: 97%

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Parsimony analysis of endemicity (PAE) revisited

Morrone

2013

Journal of Biogeography

111

102

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Several methods have been proposed for use in identifying and classifying areas of endemism. Parsimony analysis of endemicity (PAE) is the most widely used. It constructs cladograms based on the cladistic analysis of presence-absence data matrices of species and supraspecific taxa. Several authors have criticized PAE, usually because they have misunderstood its theoretical basis. A summary of the procedure is presented here, along with a discussion of the interpretation of PAE cladograms. Some critics deny any place in evolutionary biogeography for non-phylogenetic approaches, but I believe evolutionary biogeography is a pluralistic discipline, where PAE has a place despite lacking a strictly phylogenetic perspective, and thus can be applied as the first step in an analysis. Other authors criticize the use of PAE as a cladistic biogeographical method, although their arguments may be circular because they refer to biogeographical analyses based on phylogenetic hypotheses. Finally, the use of PAE for identifying areas of endemism has been criticized because an optimality criterion is used a posteriori to select areas of endemism found by what have been considered as less appropriate means, and endemicity analysis (EA) has proved to be more efficient than PAE for identifying areas of endemism. Over the last few decades PAE has been used extensively to identify areas of endemism and to determine their relationships, playing a relevant role in evolutionary biogeography.

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Section: How Can Pae Be Justified?mentioning

confidence: 97%

Section: How Can Pae Be Justified?mentioning

confidence: 97%

Parsimony analysis of endemicity (PAE) revisited

Morrone

2013

Journal of Biogeography

111

102

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“…Silva et al (2012) suggest a more complex biogeographical structure for the AF than previously proposed: for several vertebrate taxa, they describe nine components grouped in three main regions, latitudinally and longitudinally organized, and revise the dates of main diversification events in the AF. The distributional patterns reported by Silva et al (2012) must be considered with caution because were analyzed using MARTITRACKS (Echeverr ıa-Londoño & Miranda-Esquivel, 2011), with the results of this software being subject to obscure procedures of generalized track obtainment and congruence criteria, subjective parameter definition, and unclear outcomes as a result of software parameters (Ferrari, Barão & Simões, 2013).…”

Section: Introductionmentioning

confidence: 99%

Areas of endemism of arthropods in the Atlantic Forest (Brazil): an approach based on a metaconsensus criterion using endemicity analysis

Hoffmeister

Ferrari

2016

Biol. J. Linn. Soc.

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An analysis of endemicity (NDM/VNDM) based on 6541 records from 791 species of arthropods was conducted aiming to delimitate areas of endemism (AEs) in the Atlantic Forest (Brazil). Nine analyses were run employing different analytical parameters of grid size and data extrapolation of species distribution, and their effects on the results were observed. The present study is the first to employ an analysis of sensitivity with UPGMA (unweighted pair group method with arithmatic mean) as a metaconsensus criterion to compare and select AEs resulting from analyses of endemicity with different analytical parameters. In total, 724 AEs grouped into 313 consensus areas were identified. With the metaconsensus criterion, 29 groups of areas were defined, most of them coinciding with the areas obtained in other studies, which confirms that the metaconsus criterion is a clear and objective method for comparing and selecting AEs. The results of the present imply that species of arthorpods respond differently to events and, moreover, that the geographical/ climate features usually employed to explain distributional patterns of other taxa do not uniformly affect all species included in the study. The AEs identified in the present study represent a major advance in the search for quantitative distribution patterns in the Atlantic Rainforest, contributing to studies of historical biogeography and other approaches related to the conservation.

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“…There are few evaluations of methods for identifying GT. Ferrari, Barao, and Simoes () compared the performance of MartiTracks with PAE and track compatibility, finding that MartiTracks does not provide reliable results because it lacks clear congruence criteria—the parameter definition is subjective and has unclear analytical procedures. Montiel‐Canales, Goyenechea, Fernández‐Badillo, and Castillo‐Cerón () compared PAE and AE and concluded that these two methods can be complementary.…”

Section: Introductionmentioning

confidence: 99%

Track analysis of the Nearctic region: Identifying complex areas with mammals

Escalante

Noguera‐Urbano

Corona

2018

J Zool Syst Evol Res

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The Nearctic region is located on the North American plate. However, its tectonic history is related to convergence with other plates, which has promoted a complex topography. This complexity should be reflected by the distributional patterns of the biota. We used track analysis with 574 species of mammals to identify generalized tracks and panbiogeographic nodes in the Nearctic region and to propose an updated point of view of complex areas and their boundaries in North America. Seven generalized tracks with nested patterns (California, Columbia Plateau, Mesoamerican, Mexican Plateau, Neotropic, Southern Rocky Mountains, and Western Coast of USA) were identified using a parsimony analysis of endemicity with progressive character elimination. Nine panbiogeographic nodes were identified at the intersections of the generalized tracks, all of which were located in the Sierra of Chiapas and Central America physical features. A total of 192 nodes were identified for the nested patterns, located in only eight physical features. Our analysis revealed evolutionary patterns in generalized tracks, and the panbiogeographic nodes predicted areas with high evolutionary–geologic complexity, shared by other taxonomic groups.

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Quantitative panbiogeography: was the congruence problem solved?

Cited by 11 publications

References 45 publications

Parsimony analysis of endemicity (PAE) revisited

Parsimony analysis of endemicity (PAE) revisited

Areas of endemism of arthropods in the Atlantic Forest (Brazil): an approach based on a metaconsensus criterion using endemicity analysis

Track analysis of the Nearctic region: Identifying complex areas with mammals

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