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Conference object . 2020
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Conference object . 2020
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Predicción de la distribución de signátidos en el Parque Nacional de las Islas Atlánticas de Galicia a través de modelos de distribución de especies

Authors: Hernández-Urcera, Jorge; Murillo, Francisco Javier; Regueira, Marcos; Planas, Miguel;

Predicción de la distribución de signátidos en el Parque Nacional de las Islas Atlánticas de Galicia a través de modelos de distribución de especies

Abstract

En el litoral español la Familia Syngnathidae está constituida por un número limitado de géneros y especies de peces, en las que se incluyen caballitos de mar y peces pipa. Suelen ser especies residentes en aguas someras o sublitorales, con un comportamiento críptico, muy vulnerables frente a cambios en la estructura y complejidad de los ecosistemas marinos vegetales (Foster y Vincent, 2004) y a la acción de artes de arrastre (Lim et al., 2011), lo que se ve agravado por sus características reproductivas y, en muchos casos, su escasa movilidad y limitada capacidad de desplazamiento. El nivel de conocimiento de la biología, ecología y distribución de signátidos en nuestro litoral es muy reducido. Por ello, cualquier iniciativa tendente a aumentar el conocimiento de las poblaciones naturales de estas especies es esencial, tal como recomienda la Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR, 2008). El principal objetivo de este trabajo fue generar modelos de distribución de especies (SDMs) que permitan predecir la distribución del pez pipa Syngnathus acus en el archipiélago de las Islas Cíes (Parque Nacional de las Islas Atlánticas)

Póster.-- VIII Congreso ibérico de Ictiología, realizado telemáticamente del 15 al 19 junio 2020

Estudio financiado por el proyecto MAPAMA-1541S/2015 (OAPN, España)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
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