scholarly journals Use of Parsimony Analysis to Identify Areas of Endemism of Chinese Birds: Implications for Conservation and Biogeography

2010 ◽  
Vol 11 (5) ◽  
pp. 2097-2108 ◽  
Author(s):  
Xiao-Lei Huang ◽  
Ge-Xia Qiao ◽  
Fu-Min Lei
2008 ◽  
Vol 8 (4) ◽  
pp. 33-42 ◽  
Author(s):  
Mário Sérgio Sigrist ◽  
Claudio José Barros de Carvalho

An important biological challenge today is the conservation of biodiversity. Biogeography, the study of the distribution patterns of organisms, is an important tool for this challenge. Endemism, the co-occurrence of several species unique to the same area, has important implications for the preservation of biodiversity, since many areas of endemism are also areas with large human impact. More rigorously defined, areas of endemism are historical units of distributional congruence of monophyletic taxa. These areas often assumed to be due to nonrandom historical events that favored conditions associated with high rates of speciation. Thus, understanding endemism and the delimitation of endemic areas has important implications for conservation. Today, most studies delimit areas of endemism by superimposing maps of distribution for various species. This approach suffers from arbitrary delimitations, however, when a great distributional data is used. In this paper we used the method of Parsimony Analysis of Endemicity (PAE) based on georeferenced quadrats in order to delimit areas of endemism. This modality of the method is important due to its testable nature and can also be used to infer area relationships. We applied the method to raw distributional data from 19 unrelated taxa to delimit general patterns of endemism in the Neotropical Region and in the Atlantic forest domain using different grid scales. Neotropical areas found are comprised over the Panama region, northern Andean region and the Atlantic forest. Atlantic forest showed a major division into two distinct components (northern x southern). Endemic areas delimited using smaller scale grids on the Atlantic forest should be considered for conservation priorities once they showed endemism at regional and local scales. The results were also compared to other studies using different taxa and methods. Finally, some considerations on the analysis scale and future perspectives of the method are presented.


Cladistics ◽  
2018 ◽  
Vol 35 (4) ◽  
pp. 426-434
Author(s):  
Christopher M. Murray ◽  
Brian I. Crother

2009 ◽  
Vol 9 (4) ◽  
pp. 79-90 ◽  
Author(s):  
Mário Sérgio Sigrist ◽  
Claudio José Barros de Carvalho

Areas of endemism are the smallest units of biogeographical analysis. One of its definitions is that these areas harbor organisms with restricted distributions caused by non random historical factors. The aim of this study was to examine historical relationships among areas of endemism in the Neotropics using Brooks Parsimony Analysis (BPA). We applied BPA to 12 unrelated taxa distributed within two sets of endemic areas in order to: (1) compare the proposed endemic area classifications; (2) examine whether Amazonia and Atlantic Forest are true biogeographic units and, (3) examine whether the inclusion of open area formations influence area relationships of the surrounding forests. General area cladograms revealed a basal split between Amazonian and Atlantic forests, suggesting that these areas have been isolated for a long period of time. All Atlantic forest endemic areas formed a monophyletic cluster, showing a sequence of vicariant events from north to south. The hypothesis that Amazonia is a composite area, made up of different historical units, is herein corroborated. When Cerrado and Caatinga (grasslands and savannas) are included, internal area relationships within Amazonia change, indicating that area classification schemes comprising forests and open formations should be preferred given the complementary history of these areas.


2006 ◽  
Vol 66 (1a) ◽  
pp. 61-74 ◽  
Author(s):  
A. Goldani ◽  
G. S. Carvalho ◽  
J. C. Bicca-Marques

The Parsimony Analysis of Endemicity (PAE) is a method of historical biogeography that is used for detecting and connecting areas of endemism. Based on data on the distribution of Neotropical primates, we constructed matrices using quadrats, interfluvial regions and pre-determinated areas of endemism described for avians as Operative Geographic Units (OGUs). We codified the absence of a species from an OGU as 0 (zero) and its presence as 1 (one). A hypothetical area with a complete absence of primate species was used as outgroup to root the trees. All three analyses resulted in similar groupings of areas of endemism, which match the distribution of biomes in the Neotropical region. One area includes Central America and the extreme Northwest of South America, other the Amazon basin, and another the Atlantic Forest, Caatinga, Cerrado and Chaco.


Cladistics ◽  
2013 ◽  
Vol 29 (6) ◽  
pp. 571-573 ◽  
Author(s):  
Brian I. Crother ◽  
Christopher M. Murray

2017 ◽  
Vol 30 (6) ◽  
pp. 439 ◽  
Author(s):  
Dalton S. Amorim ◽  
Charles M. D. Santos

We present a study of the endemicity patterns in the Brazilian Atlantic Forest on the basis of the distribution of 107 fly species belonging to 24 genera of 15 families. This is the first picture of endemism for Diptera in the Atlantic Forest. Instead of the traditional grid of geographical coordinates, we used a system of topographic units (TUs) for the analysis, delimited after gathering information on rivers and altitude for each state and country. A parsimony analysis of the data matrix with the species records for the TUs was performed, named topographic-unit parsimony analysis (TUPA). The same distributional data was used in a NDM/VNDM analysis. The combination of the resulting patterns from both analyses indicated the existence of the following three major areas of endemism for flies in the Atlantic Forest: a Northern Atlantic Forest, north of Rio Doce; a Southern Atlantic Forest, south of Rio Doce along the coast, extending to the west and to the south at the level of the state of Paraná; and a Semideciduous Seasonal Forest, west to the ombrophilous forest along the coast. None of these areas seems to be shaped solely by vicariance events. They can possibly be the result of biotic fusion of ancestral areas of endemism as a result of barrier collapse and secondary overlap of sister biotas, a hypothesis yet to be tested. The recognition of a separate area of endemism for flies in the Semideciduous Forest agrees with phytogeographical reconstructions and raises an important alert for the scarcity of biological reserves for this vegetation.


2019 ◽  
Vol 35 (22) ◽  
pp. 4818-4820
Author(s):  
Muhsen Hammoud ◽  
Charles Morphy D Santos ◽  
João Paulo Gois

Abstract Summary iTUPA is a free online application for automatizing the Topographic-Unit Parsimony Analysis (TUPA), which identifies areas of endemism based on topography. iTUPA generates species-occurrences matrices based on user-defined topographic units (TUs) and provides a parsimony analysis of the generated matrix. We tested iTUPA after a proposal of regionalization for the Brazilian Atlantic Forest. iTUPA can handle millions of species registers simultaneously and uses Google Earth high-definition maps to visually explore the endemism data. We believe iTUPA is a useful tool for further discussions on biodiversity conservation. Availability and implementation iTUPA is hosted on Google cloud and freely available at http://nuvem.ufabc.edu.br/itupa. iTUPA is implemented using R (version 3.5.1), with RStudio 1.1.453 used as the implementation IDE, Shiny 1.1.0 web framework, and Google Maps® API version 3.36.


2006 ◽  
Vol 37 (3) ◽  
pp. 301-324
Author(s):  
Gustavo Spinelli ◽  
Pablo Marino ◽  
Paula Posadas

AbstractThe following five new species of Atrichopogon Kieffer from southern Argentina and Chile are described and illustrated: A. aridus Spinelli & Marino, A. comechingon S. & M., A. endemicus S. & M., A. inacayali S. & M. and A. similis S. & M. A. aridus and A. comechingon also occur north of Patagonia. The previously known species A. obfuscatus Ingram & Macfie is redescribed, and notes on its type are provided. A key to recognition of males and females of the seven species inhabiting Patagonia is included. A biogeographic parsimony analysis of endemicity (PAE) interprets the relationships among the provinces of the southern South America. It is based on seven areas of endemism and distributional data of 30 species of the subfamily Forcipomyiinae. The analysis results in two most parsimonious cladograms and their strict consensus depicts the following relationships: ((Monte, Patagonian steppe) (Central Chile, Magellanic Moorland (Magellanic Forest, Maule, Valdivian Forest))).


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