Factors affecting the distribution of epibenthic biodiversity in the Cávado estuary (NW Portugal)

Carvalho, André N.; Santos, Paulo

doi:10.5894/rgci371

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…Distribution in Portugal: Species recorded on the estuaries of the rivers Minho [13,14,81], Lima [66], Cávado [67], Douro, Aveiro, Mira [82], Mondego [83] and Tejo [84], and at Fuzeta beach [85].…”

Section: Resultsmentioning

confidence: 99%

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Crustaceans (Malacostraca and Thecostraca) from the International Minho River, Iberian Peninsula

et al. 2021

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Crustaceans (Arthropoda) are a diverse and abundant group with chitinous exoskeleton, living on coastal/estuarine environments, at community invertebrate fauna. A survey on the species of some crustacean groups found on the Minho River estuary (international section) in the Iberian Peninsula, is presented with specimens collected through glass eel fishing bycatch, grab sampler, trammel net, beam trawl and fyke net sampling methods. A total of 98 specimens were examined belonging to 7 orders, 21 genera and 23 species (17 new records from Minho River, including one for Portugal). Brief diagnosis, ecological notes, species distributions and figures are provided intending to present taxonomic support on future projects in this region.

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Section: Resultsmentioning

confidence: 99%

“…Global distribution: Northeast Atlantic [22]. Distribution in Portugal: Species recorded at Ria de Aveiro [118], Cávado [67] and Tejo [119] rivers.…”

Section: Neomysis Integermentioning

confidence: 99%

Crustaceans (Malacostraca and Thecostraca) from the International Minho River, Iberian Peninsula

et al. 2021

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“…The coastline baseline temperature (T sea ) ranged from 10 • C to 20 • C, based on average temperature ranges in several locations on the west coast of France and Portugal (seatemperature.org). The estuary baseline temperature (T estu ) ranged from 10 • C to 24 • C, based on the average minimum and maximum temperatures in the principal estuaries of the English Channel, the Bay of Biscay, and the Portuguese coast, including Seine, Gironde, and Tagus [48][49][50][51][52]. The simplified temperature functions are: T sea (t) = 5 sin f 0 ((2π(t − 136.25))/365) + 15 T estu (t) = 7 sin f 0 ((2π(t − 136.25))/365) + 17…”

Section: Simulation Setupmentioning

confidence: 99%

Simulating the Effects of Temperature and Food Availability on True Soles (Solea spp.) Early-Life History Traits: A Tool for Understanding Fish Recruitment in Future Climate Change Scenarios

Sardi

Moreira

Omingo

et al. 2023

Fishes

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Research on recruitment variability has gained momentum in the last years, undoubtedly due to the many unknowns related to climate change impacts. Knowledge about recruitment—the process of small, young fish transitioning to an older, larger life stage—timing and success is especially important for commercial fish species, as it allows predicting the availability of fish and adapting fishing practices for its sustainable exploitation. Predicting tools for determining the combined effect of temperature rise and food quality and quantity reduction (two expected outcomes of climate change) on early-life history traits of fish larvae are valuable for anticipating and adjusting fishing pressure and policy. Here we use a previously published and validated dynamic energy budget (DEB) model for the common sole (Solea solea) and adapt and use the same DEB model for the Senegalese sole (S. senegalensis) to predict the effects of temperature and food availability on Solea spp. early life-history traits. We create seven simulation scenarios, recreating RCP 4.5 and 8.5 Intergovernmental Panel on Climate Change (IPCC) scenarios and including a reduction in food availability. Our results show that temperature and food availability both affect the age at metamorphosis, which is advanced in all scenarios that include a temperature rise and delayed when food is limited. Age at puberty was also affected by the temperature increase but portrayed a more complex response that is dependent on the spawning (batch) period. We discuss the implications of our results in a climate change context.

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“…The abiotic variables chosen as predictors were based on previously documented impact extent and ecological concepts linked to species preferences form a particular habitat, as well as those influencing the biomass and recruitment variability of flatfishes [59][60][61][62][63][64][65][66][67][68][69]. Accordingly, the water temperature, salinity, dissolved oxygen, and current speed were selected as the most relevant.…”

Section: Selection Of Abiotic Variablesmentioning

confidence: 99%

Spatial Distribution and Genetic Diversity of Turbot (Scophthalmus maximus, Linnaeus, 1758) in Bulgarian Black Sea Waters Relative to Fishing Pressure and Their Abiotic Environment

Zlateva,

Ivanova,

Dzhembekova

et al. 2023

JMSE

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The present study examined the genetic diversity and spatial distribution of turbot (Scophthalmus maximus), an economically important species on the Bulgarian Black Sea coast. Maximum entropy (MaxEnt) modeling software Version 3.4.4. was utilized to develop a habitat suitability model for S. maximus in the Bulgarian Black Sea region. Data collected via demersal and pelagic surveys and genetic sampling from 2017 to 2021 were utilized to link species occurrence localities with selected abiotic factors. Our findings showed that the species’ habitat preferences are strongly influenced by temperature and dissolved oxygen, and projections based on simplified climatic scenarios indicated potential distribution shifts and a substantial reduction in reproduction habitats in the northern region. The assessment of genetic diversity was based on mtDNA COIII sequencing; MtDNA revealed a low level of polymorphism in all analyzed populations. The extensive fishing pressure may have increased the likelihood of genetic and population bottlenecks and a consequent decline in genetic diversity in the Shabla, Nesebar, and Tsarevo populations. The Tajima’s D values for the latter indicated that turbot underwent a bottleneck followed by rapid population expansion. Our findings are essential for the conservation and effective management of S. maximus stocks in the region.

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Factors affecting the distribution of epibenthic biodiversity in the Cávado estuary (NW Portugal)

Cited by 6 publications

References 34 publications

Crustaceans (Malacostraca and Thecostraca) from the International Minho River, Iberian Peninsula

Crustaceans (Malacostraca and Thecostraca) from the International Minho River, Iberian Peninsula

Simulating the Effects of Temperature and Food Availability on True Soles (Solea spp.) Early-Life History Traits: A Tool for Understanding Fish Recruitment in Future Climate Change Scenarios

Spatial Distribution and Genetic Diversity of Turbot (Scophthalmus maximus, Linnaeus, 1758) in Bulgarian Black Sea Waters Relative to Fishing Pressure and Their Abiotic Environment

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