Sympatry Inference and Network Analysis in Biogeography

Santos, Daniel Andrés Dos; Fernández, Héctor Velázquez; Cuezzo, María Gabriela; Domı́nguez, Eduardo

doi:10.1080/10635150802172192

Cited by 45 publications

(45 citation statements)

References 28 publications

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“…El segundo grupo está integrado por el Método de Análisis de Redes (NAM) (Dos Santos et al 2008) y la Interpolación Geográfica del Endemismo (GIE) . En el NAM se evalúa la congruencia a nivel de localidades (Dos Santos et al 2008), haciendo implícito el componente espacial para identificar áreas de endemismo.…”

Section: Métodos De Identificación De áReas De Endemismounclassified

“…En el NAM se evalúa la congruencia a nivel de localidades (Dos Santos et al 2008), haciendo implícito el componente espacial para identificar áreas de endemismo. Sin embargo, los patrones con poca congruencia detectadas en el NAM han sido criticados por considerar que cumplen vagamente con el criterio de área de endemismo (alta congruencia espacial) (Casagranda et al 2009).…”

Section: Métodos De Identificación De áReas De Endemismounclassified

“…La comparación de las distribuciones en el NAM, se realiza considerando la conexión entre localidades y la posterior identificación de patrones con análisis de redes. El análisis de redes permite incluir a las especies y sus relaciones espaciales (Dos Santos et al 2008), esto lo diferencia del PAE y el AE que son dependientes de celdas de grillas.…”

Section: Métodos De Identificación De áReas De Endemismounclassified

“…En cuanto a la implementación de los métodos, el PAE puede ser ejecutado en programas que tengan parsimonia como método filogenético, el AE ha sido desarrollado en el programa NDM/VNDM (Goloboff 2014) y NAM se encuentra en el paquete SyNet del programa R (Dos Santos et al 2008;Dos Santos 2011). Mientras que el GIE se encuentra como extensión de un programa comercial de Sistemas de información geográfica .…”

Section: Métodos De Identificación De áReas De Endemismounclassified

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El endemismo: diferenciación del término, métodos y aplicaciones

Noguera‐Urbano

2017

AZM

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La importancia del endemismo radica en la necesidad de conocer y proteger los atributos biológicos e historia evolutiva que representan los taxones endémicos y sus patrones biogeográficos. El endemismo toma un valor ecológico e histórico, si se considera que define zonas geográficas donde hay taxones integrados espacio-temporalmente (Nelson & Platnick 1981;Stattersfield et al. 1998;Morrone 2009).La palabra "endémico" proviene del griego "endēmios = nativo". Fue transferido por Candolle (1820) desde la medicina a la botánica para indicar taxones nativos que se distribuyen en un lugar y no en otro (Anderson 1994;Hobohm & Tucker 2014 RESUMEN.El endemismo es un concepto comúnmente usado para identificar a taxones nativos o grupos biológicos con área de distribución restringida. Sin embargo, el endemismo tiene diferentes interpretaciones de acuerdo a la aproximación usada para los análisis biogeográficos (ecológico o histórico). Los múltiples usos del endemismo han llevado a proponer otros conceptos relacionados con las áreas geográficas ocupadas por los taxones endémicos (área endémica, área de endemismo, centro de endemismo). En algunos casos los resultados de las técnicas y protocolos usados para evaluar el endemismo son malinterpretados, ya que en la literatura los tres términos son usados como sinónimos. En este orden de ideas, esta revisión discute el concepto de endemismo y su aplicación en múltiples campos del conocimiento. Además, se comparan y discuten las técnicas y protocolos usados para evaluar el endemismo. Se concluye que es necesario el uso de un concepto unificado del endemismo, lo cual podría facilitar su interpretación tanto en ecología como en conservación y biogeografía. Palabras clave: Biogeografía, Conservación, distribución restringida, endémico, Ecología. ABSTRACT. Endemism is a concept commonly used to identify native taxa or biological groups with restricted range. However, the endemism has different interpretations according to the approach used in the biogeographic analysis (ecological or historical). The multiples interpretations of endemism have led to propose other concepts related with the geographical areas occupied by the endemic taxa (endemic area, area of endemism, center of endemism). In some cases, the results of the technics and protocols used to evaluate the endemism are misinterpreted because in the literature endemic area, area of endemism and center of endemism are used as synonyms. In this order of ideas, this review discusses the concept of endemism, and its application in multiples knowledge fields. The technics and protocols to evaluate the endemism are discussed and compared. It is concluded that it is necessary to use a unified concept of endemism, which could facilitate the interpretation of the endemism in ecology, conservation and biogeography. Noguera-Urbano

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Section: Métodos De Identificación De áReas De Endemismounclassified

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El endemismo: diferenciación del término, métodos y aplicaciones

Noguera‐Urbano

2017

AZM

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“…Two methods of historical biogeographic were used to analyse the data: Parsimony Analysis of Endemicity (PAE) and Network Analysis Method (NAM), both can be used to delimitate areas of endemism. PAE (Morrone 2014) has also been used to indicate priority areas for conservation (e.g., Caviers et al 2002;Chen & Bi 2007;Huang et al 2010) and NAM, recently developed by Dos Santos et al (2008Santos et al ( , 2012, to date has not been used for this propose. However, NAM has many advantages when compared to PAE, such as: 1) independence on predefined areas; 2) considers earth's curvature; 3) evaluates the randomness in data structure; and 4) has a high relative stability of results to scale change (Dos Santos et al 2008).…”

Section: Methodsmentioning

confidence: 99%

Conservation of mayflies (Insecta, Ephemeroptera) in Espírito Santo, southeastern Brazil

Massariol¹,

Soares²,

Salles³

2014

Rev. Bras. entomol.

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ABSTRACT. Conservation of mayflies (Insecta, Ephemeroptera) in Espírito Santo, southeastern Brazil. Ephemeroptera exhibits great diversity among bodies of freshwater in the Atlantic Forest, a biome that is suffering from massive human impact. Within this context, the creation of conservation units using biological information is more recommended than economic, cultural, or political criteria. The distribution pattern of 76 Ephemeroptera species was analyzed using the biogeographical methods Parsimony Analysis of Endemicity and Network Analysis Method in order to infer relevant areas for conservation of the mayfly community in Espírito Santo. The results obtained from both analyses were largely congruent, and pointed out four relevant areas for conservation: two in the south of the state, where conservation units or priority areas for conservation are well established; and two in the north, a region in the state where little conservation efforts have been historically done. Therefore, based on our analyses on mayflies, we recommend the expansion of the existing APCs or the creation of new APCs on the north of Espírito Santo.

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Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia)

et al. 2021

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Alpine habitats are characterized by a high rate of range restricted species compared to those of lower elevations. This is also the case for the Irano-Anatolian global biodiversity hotspot in South-West Asia, which is a mountainous area harbouring a high amount of endemic species. Using two quantitative approaches, Endemicity Analysis and Network-Clustering, we want to identify areas of concordant species distribution patterns in the alpine zone of this region as well as to test the hypothesis that, given the high proportion of endemics among alpine species, delimitation of these areas is determined mainly by endemic alpine species, i.e., areas of concordant species distribution patterns are congruent with areas of endemism. Endemicity Analysis identified six areas of concordant species distribution patterns irrespective of dataset (total alpine species versus endemic alpine species), whereas the Network-Clustering approach identified five and four Bioregions from total alpine species and endemic alpine species, respectively. Most of these areas have been previously identified using the endemic flora of different elevational zones. The identified units using both methods and both datasets are strongly congruent, proposing that they reveal meaningful distribution patterns. Bioregionalization in the Irano-Anatolian biodiversity hotspot appears to be strongly influenced by the endemic alpine species, a pattern likely to hold in alpine regions outside the Irano-Anatolian hotspot.

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Sympatry Inference and Network Analysis in Biogeography

Cited by 45 publications

References 28 publications

El endemismo: diferenciación del término, métodos y aplicaciones

El endemismo: diferenciación del término, métodos y aplicaciones

Conservation of mayflies (Insecta, Ephemeroptera) in Espírito Santo, southeastern Brazil

Endemics determine bioregionalization in the alpine zone of the Irano-Anatolian biodiversity hotspot (South-West Asia)

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