Marine Biodiversity and Ecosystem Functioning
EU Network of Excellence

 
Main Menu

· Home
· Contacts
· Data Systems
· Documents
· FAQ
· Links
· MarBEF Open Archive
· Network Description
· Outreach
· Photo Gallery
· Quality Assurance
· Register of Resources
· Research Projects
· Rules and Guidelines
· Training
· Wiki
· Worldconference

 

Register of Resources (RoR)

 People  |  Datasets  |  Literature  |  Institutes  |  Projects 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [238451]
Coastal waters classification based on physical attributes along the NE Atlantic region. An approach for rocky macroalgae potential distribution
Ramos, E.; Juanes, J.A.; Galvan, C.; Neto, J.M.; Melo, R.; Pedersen, A.; Scanlan, C.; Wilkes, R.; van den Bergh, E.; Blomqvist, M.; Karup, H.P.; Heiber, W.; Reitsma, J.M.; Ximenes, M.C.; Silio, A.; Mendez, F.; Gonzalez, B. (2012). Coastal waters classification based on physical attributes along the NE Atlantic region. An approach for rocky macroalgae potential distribution. Est., Coast. and Shelf Sci. 112: 105-114. dx.doi.org/10.1016/j.ecss.2011.11.041
In: Estuarine, Coastal and Shelf Science. Academic Press: London; New York. ISSN 0272-7714; e-ISSN 1096-0015
Peer reviewed article  

Available in  Authors 

Keyword
    Marine/Coastal
Author keywords
    coastal waters; North East Atlantic; WFD intercalibration; physicalproperties; biotypes; subtypological variants

Authors  Top 
  • Ramos, E.
  • Juanes, J.A.
  • Galvan, C.
  • Neto, J.M.
  • Melo, R.
  • Pedersen, A.
  • Scanlan, C.
  • Wilkes, R.
  • van den Bergh, E.
  • Blomqvist, M.
  • Karup, H.P.
  • Heiber, W.
  • Reitsma, J.M.
  • Ximenes, M.C.
  • Silio, A.
  • Mendez, F.
  • Gonzalez, B.

Abstract
    According to requirements for intercalibration of assessment methods of vegetation quality elements along the North East Atlantic region, within the scope of the European Water Framework Directive (WFD), a better classification system of coastal regions is needed. To accomplish that goal, a quantitative classification approach was launched in order to establish common typologies for assessment of this biological quality element. This was preliminarily based on a physical classification of the coastal waters that included two consecutive steps, a first one devoted to the establishment of "biotypes" (large areas), and a latter one dealing with recognition of the variability within biotypes ("subtypological variants"). The NEA region coastline was subdivided into 550 consecutive stretches (40 km long). Then, physical variables (sea surface temperature, photosynthetically active radiation, wave exposure, tidal range and salinity) were calculated in reference points of each stretch, 5 km from the coast. This information was based mostly on satellite acquired data, using specific procedures proposed in this work. Physical typologies of NEA coastal waters were obtained by statistical analyses. Five different biotypes were selected (i.e. coastal sectors of the European coast) by national experts as baseline information to be used on intercalibration of assessment methods for vegetation within the WFD. Variability of environmental conditions on those biotypes was also analyzed and compared with previous classifications carried out at the national scale. Results from this study showed the feasibility of this methodological approach as a useful tool for assessment of the actual homogeneity of coastal environments.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors 


If any information here appears to be incorrect, please contact us
Back to Register of Resources
 
Quick links

MarBEF WIKI

Erasmus Mundus Master of Science in Marine Biodiversity and Conservation (EMBC)
Outreach

Science
Responsive Mode Programme (RMP) - Marie Nordstrom, copyright Aspden Rebecca

WoRMS
part of WoRMS logo

ERMS 2.0
Epinephelus marginatus Picture: JG Harmelin

EurOBIS

Geographic System

Datasets

 


Web site hosted and maintained by Flanders Marine Institute (VLIZ) - Contact data-at-marbef.org