Predicting biological invasions in marinehabitats through eco-physiological mechanistic models: a case study with the bivalve Brachidontes pharaonis

Valeria Montalto, Gianluca Sara', Rinaldi, Helmuth

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44 Citazioni (Scopus)

Abstract

Aim We used a coupled biophysical ecology (BE)-physiological mechanisticmodelling approach based on the Dynamic Energy Budget theory (DEB,Dynamic energy budget theory for metabolic organisation, 2010, CambridgeUniversity Press, Cambridge; DEB) to generate spatially explicit predictions of physiological performance (maximal size and reproductive output) for the invasive mussel, Brachidontes pharaonis.Location We examined 26 sites throughout the central Mediterranean Sea.Methods We ran models under subtidal and intertidal conditions; hourlyweather and water temperature data were obtained from the Italian BuoyNetwork, and monthly CHL-a data were obtained from satellite imagery.Results Mechanistic analysis of the B. pharaonis fundamental niche shows thatsubtidal sites in the Central Mediterranean are generally suitable for this invasive bivalve but that intertidal habitats appear to serve as genetic sinks.Main conclusions A BE-DEB approach enabled an assessment of how thephysical environment affects the potential distribution of B. pharaonis. Combined with models of larval dispersal, this approach can provide estimates of the likelihood that an invasive species will become established.
Lingua originaleEnglish
pagine (da-a)1235-1247
Numero di pagine13
RivistaDiversity and Distributions
Volume19
Stato di pubblicazionePublished - 2013

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biological invasion
mechanistic models
bivalve
Bivalvia
case studies
energy budget
ecophysiology
energy
invasive species
ecology
mussels
reproductive performance
niches
water temperature
satellite imagery
prediction
niche
habitats
habitat
methodology

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics

Cita questo

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title = "Predicting biological invasions in marinehabitats through eco-physiological mechanistic models: a case study with the bivalve Brachidontes pharaonis",
abstract = "Aim We used a coupled biophysical ecology (BE)-physiological mechanisticmodelling approach based on the Dynamic Energy Budget theory (DEB,Dynamic energy budget theory for metabolic organisation, 2010, CambridgeUniversity Press, Cambridge; DEB) to generate spatially explicit predictions of physiological performance (maximal size and reproductive output) for the invasive mussel, Brachidontes pharaonis.Location We examined 26 sites throughout the central Mediterranean Sea.Methods We ran models under subtidal and intertidal conditions; hourlyweather and water temperature data were obtained from the Italian BuoyNetwork, and monthly CHL-a data were obtained from satellite imagery.Results Mechanistic analysis of the B. pharaonis fundamental niche shows thatsubtidal sites in the Central Mediterranean are generally suitable for this invasive bivalve but that intertidal habitats appear to serve as genetic sinks.Main conclusions A BE-DEB approach enabled an assessment of how thephysical environment affects the potential distribution of B. pharaonis. Combined with models of larval dispersal, this approach can provide estimates of the likelihood that an invasive species will become established.",
author = "Valeria Montalto and Gianluca Sara' and Rinaldi and Helmuth",
year = "2013",
language = "English",
volume = "19",
pages = "1235--1247",
journal = "Diversity and Distributions",
issn = "1366-9516",
publisher = "Wiley-Blackwell",

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TY - JOUR

T1 - Predicting biological invasions in marinehabitats through eco-physiological mechanistic models: a case study with the bivalve Brachidontes pharaonis

AU - Montalto, Valeria

AU - Sara', Gianluca

AU - Rinaldi, null

AU - Helmuth, null

PY - 2013

Y1 - 2013

N2 - Aim We used a coupled biophysical ecology (BE)-physiological mechanisticmodelling approach based on the Dynamic Energy Budget theory (DEB,Dynamic energy budget theory for metabolic organisation, 2010, CambridgeUniversity Press, Cambridge; DEB) to generate spatially explicit predictions of physiological performance (maximal size and reproductive output) for the invasive mussel, Brachidontes pharaonis.Location We examined 26 sites throughout the central Mediterranean Sea.Methods We ran models under subtidal and intertidal conditions; hourlyweather and water temperature data were obtained from the Italian BuoyNetwork, and monthly CHL-a data were obtained from satellite imagery.Results Mechanistic analysis of the B. pharaonis fundamental niche shows thatsubtidal sites in the Central Mediterranean are generally suitable for this invasive bivalve but that intertidal habitats appear to serve as genetic sinks.Main conclusions A BE-DEB approach enabled an assessment of how thephysical environment affects the potential distribution of B. pharaonis. Combined with models of larval dispersal, this approach can provide estimates of the likelihood that an invasive species will become established.

AB - Aim We used a coupled biophysical ecology (BE)-physiological mechanisticmodelling approach based on the Dynamic Energy Budget theory (DEB,Dynamic energy budget theory for metabolic organisation, 2010, CambridgeUniversity Press, Cambridge; DEB) to generate spatially explicit predictions of physiological performance (maximal size and reproductive output) for the invasive mussel, Brachidontes pharaonis.Location We examined 26 sites throughout the central Mediterranean Sea.Methods We ran models under subtidal and intertidal conditions; hourlyweather and water temperature data were obtained from the Italian BuoyNetwork, and monthly CHL-a data were obtained from satellite imagery.Results Mechanistic analysis of the B. pharaonis fundamental niche shows thatsubtidal sites in the Central Mediterranean are generally suitable for this invasive bivalve but that intertidal habitats appear to serve as genetic sinks.Main conclusions A BE-DEB approach enabled an assessment of how thephysical environment affects the potential distribution of B. pharaonis. Combined with models of larval dispersal, this approach can provide estimates of the likelihood that an invasive species will become established.

UR - http://hdl.handle.net/10447/102064

M3 - Article

VL - 19

SP - 1235

EP - 1247

JO - Diversity and Distributions

JF - Diversity and Distributions

SN - 1366-9516

ER -