Coastal waters classification based on physical attributes along the NE Atlantic region. An approach for rocky macroalgae potential distribution

Ramos, Elvira; Juanes, José A.; Galván, Cristina; Neto, João M.; Melo, Ricardo; Pedersen, A.; Scanlan, Clare; Wilkes, Robert; Bergh, Erika Van den; Blomqvist, Mats; Karup, H.; Heiber, W.; Reitsma, J.; Ximenes, Marie Claude; Silió, Ana; Méndez, Fernando J.; González, B.

doi:10.1016/j.ecss.2011.11.041

Cited by 37 publications

(45 citation statements)

References 18 publications

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“…The physical classification carried out by Ramos et al (2012) along this coastal area has been the basis of this work. In this paper authors developed a classification into broad geographic regions (biotypes).…”

Section: Study Areamentioning

confidence: 99%

“…rocky intertidal areas), following the approach established by Ramos et al (2012). This selection was made by MS (Member State) experts among sites previously used for IC exercise, with biological data based on field work available, taking into account also that each one was representative of the nearby area.…”

Section: Macroalgae Datamentioning

confidence: 99%

“…It will be useful in the implementation of different legislation, as well as for the general assessment of coastal ecosystems. The main goal of this work is the biological validation of the physical classification developed by Ramos et al (2012). In addition, this work provides homogenous and standardized information about the biogeographical distribution of intertidal macroalgae species along NE Atlantic region, and characterizes common biotypes according to macroalgae data.…”

Section: Introductionmentioning

confidence: 99%

“…However, this biological criterion is lacking in most of the existing coastal classifications and the establishment of suitable biotypes along the NEA intercalibration region is not yet finished. It is necessary to develop a second step as defined by Ramos et al (2012): the detection of the most representative macroalgae taxa along the study area and the use of this macroalgae distribution in order to check the ecological suitability of the physical classification system.…”

Section: Introductionmentioning

confidence: 99%

“…There was not a harmonized and standardized classification methodology that can be generally used for management and conservation purposes. Taking this into account, a physical classification along the NEA GIG coastal area was developed by Ramos et al (2012). The physico-chemical characteristics of sea surface temperature (SST) and photosynthetically active radiation (PAR) were used to establish a first classification into five large regions called "biotypes".…”

Section: Introductionmentioning

confidence: 99%

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Biological validation of physical coastal waters classification along the NE Atlantic region based on rocky macroalgae distribution

Ramos¹,

Puente²,

Juanes³

et al. 2014

Estuarine, Coastal and Shelf Science

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Section: Study Areamentioning

confidence: 99%

Section: Macroalgae Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Biological validation of physical coastal waters classification along the NE Atlantic region based on rocky macroalgae distribution

Ramos¹,

Puente²,

Juanes³

et al. 2014

Estuarine, Coastal and Shelf Science

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Average vs. extreme salinity conditions: Do they equally affect the distribution of macroinvertebrates in estuarine environments?

Galván

Puente

Castanedo

et al. 2016

Limnology & Oceanography

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Salinity is a key variable used to explain the distribution of species within estuaries and the functioning of estuarine ecosystems. Despite the relevance of average conditions and extreme events, the existing schemes of zonation are only based on average values; the extreme values obtained through high-resolution longterm data have not been still integrated in an appropriate methodology capable of recognizing salinity types. Therefore, the background variability of salinity has been frequently underestimated in ecological studies. The primary goal of this research is the identification of ecologically significant salinity zones capable of encompassing the entire estuarine regime. A two-step methodological approach was developed: (1) the reconstruction of long-term salinity series using the Deflt3D hydrodynamic model, the analog method and a subset of short-term representative states of river flow and tidal level and (2) the identification of different zones using eight descriptors of the salinity regime (i.e., the median, the range and the intensity, duration and frequency of extreme events) and the application of a combination of two clustering techniques of unsupervised learning (Self-Organizing Maps (SOM) and K-Means). Thus, five ecologically significant salinity types that are representative of estuarine variability were identified based on a salinity series reconstructed using a validated method. Differences in the mean values of salinity among typologies allow explaining patterns in the general descriptors of benthic macroinvertebrates assemblages (i.e., richness and diversity). If extreme salinity conditions are also considered, typologies increase their ecological significance and they are able to recognize differences in species composition.

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Tracking macroalgae introductions in North Atlantic oceanic islands

2014

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Coastal waters classification based on physical attributes along the NE Atlantic region. An approach for rocky macroalgae potential distribution

Cited by 37 publications

References 18 publications

Biological validation of physical coastal waters classification along the NE Atlantic region based on rocky macroalgae distribution

Biological validation of physical coastal waters classification along the NE Atlantic region based on rocky macroalgae distribution

Average vs. extreme salinity conditions: Do they equally affect the distribution of macroinvertebrates in estuarine environments?

Tracking macroalgae introductions in North Atlantic oceanic islands

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