2015
DOI: 10.1111/jpy.12322
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Ecological niche models of invasive seaweeds

Abstract: Ecological niche models (ENMs) are commonly used to calculate habitat suitability from species' occurrence and macroecological data. In invasive species biology, ENMs can be applied to anticipate whether invasive species are likely to establish in an area, to identify critical routes and arrival points, to build risk maps and to predict the extent of potential spread following an introduction. Most studies using ENMs focus on terrestrial organisms and applications in the marine realm are still relatively rare.… Show more

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Cited by 40 publications
(36 citation statements)
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References 130 publications
(265 reference statements)
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“…Modelling seaweed invasions. The use of mechanistic models to predict species distribution can often be a challenging process since it is very sensitive to the input data (e.g., see Araujo andGuisan 2006, Marcelino andVerbruggen 2015). SDM is a correlative approach that describes patterns rather than explaining the mechanisms of species distribution.…”
Section: Modelling Invasiveness In Asparagopsismentioning
confidence: 99%
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“…Modelling seaweed invasions. The use of mechanistic models to predict species distribution can often be a challenging process since it is very sensitive to the input data (e.g., see Araujo andGuisan 2006, Marcelino andVerbruggen 2015). SDM is a correlative approach that describes patterns rather than explaining the mechanisms of species distribution.…”
Section: Modelling Invasiveness In Asparagopsismentioning
confidence: 99%
“…, Zanolla and Andreakis ) but also for predicting species and population expansion and assessing the impact and invasive potential of invaders at multiple stages in the invasion process (Peterson , Bolton et al. , Marcelino and Verbruggen ). In particular, the combination of SDM and molecular phylogeography represents a high resolution tool for distinguishing between cryptogenic endemisms and cryptic introductions.…”
mentioning
confidence: 99%
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“…Also known as species distribution modeling (Guisan and Thuiller, 2005;Elith and Leathwick, 2009;Peterson and SoberĂłn, 2012), ENMs are a spatially-explicit method for modeling the ecological requirements of a given species and predicting its potential distribution in a geographical space. ENMs have many potential applications in ecological studies (see Guisan and Thuiller, 2005 for a review) but in the marine realm, they have mostly been used to examine invasive benthic species (e.g., Leidenberger et al, 2015;Marcelino and Verbruggen, 2015). Fewer studies have used them to consider pelagic species at fine time-and spatial-scales as their habitats are highly variable (Friedlaender et al, 2011;Druon et al, 2012Druon et al, , 2016.…”
Section: Introductionmentioning
confidence: 99%
“…Range shift predictions based on laboratory‐experiments with temperature manipulation (Piñeiro‐Corbeira, Barreiro, Cremades, & Arenas, ) have matched observed range shifts of seaweeds in the Northeast Atlantic (NE‐Atlantic) due to increasing sea surface temperature (SST; Piñeiro‐Corbeira, Barreiro, & Cremades, ). To date, despite the widespread use of SDM for habitat‐forming species (e.g., Marcelino & Verbruggen, ; Record, Charney, Zakaria, & Ellison, ; Valle et al, ), only two studies have incorporated the use of physiological data (Franco et al, ; MartĂ­nez, Arenas, Trilla, Viejo, & Carreño, ). The incorporation of physiological data is particularly important for invasive species which are in violation of the assumption that a species is at equilibrium with the environment (Elith et al, ).…”
Section: Introductionmentioning
confidence: 99%