Matches in SemOpenAlex for { <https://semopenalex.org/work/W2047072171> ?p ?o ?g. }
- W2047072171 endingPage "164" @default.
- W2047072171 startingPage "151" @default.
- W2047072171 abstract "The management and protection of potentially vulnerable species and habitats require the availability of detailed spatial data. However, such data are often not readily available in particular areas that are challenging for sampling by traditional sampling techniques, for example seamounts. Within this study habitat modelling techniques were used to create predictive maps of six species of conservation concern for the Le Danois Bank (El Cachucho Marine Protected Area in the South of the Bay of Biscay). The study used data from ECOMARG multidisciplinary surveys that aimed to create a representative picture of the physical and biological composition of the area. Classical fishing gear (otter trawl and beam trawl) was used to sample benthic communities that inhabit sedimentary areas, and non-destructive visual sampling techniques (ROV and photogrammetric sled) were used to determine the presence of epibenthic macrofauna in complex and vulnerable habitats. Multibeam echosounder data, high-resolution seismic profiles (TOPAS system) and geological data from box-corer were used to characterize the benthic terrain. ArcGIS software was used to produce high-resolution maps (75×75 m2) of such variables in the entire area. The Maximum Entropy (MAXENT) technique was used to process these data and create Habitat Suitability maps for six species of special conservation interest. The model used seven environmental variables (depth, rugosity, aspect, slope, Bathymetric Position Index (BPI) in fine and broad scale and morphosedimentary characteristics) to identify the most suitable habitats for such species and indicates which environmental factors determine their distribution. The six species models performed highly significantly better than random (p<0.0001; Mann–Whitney test) when Area Under the Curve (AUC) values were tested. This indicates that the environmental variables chosen are relevant to distinguish the distribution of these species. The Jackknife test estimated depth to be the key factor structuring their distribution, followed by the seabed morpho-sedimentary characteristics and rugosity variables. Three of the species studied (Asconema setubalense, Callogorgia verticillata and Helicolenus dactylopterus) were found to have small suitable areas as a result of being restrictive species related to the environmental characteristics of the top of the bank. The other species (Pheronema carpenteri, Phycis blennoides and Trachyscorpia cristulata), which were species less restrictive to the environmental variables used, had highly suitable areas of distribution. The study provides high-resolution maps of species that characterize the habitat of two communities included in OSPAR and NATURA networks, whose distributions corroborate the adequate protection of this area by the management measures applied at present." @default.
- W2047072171 created "2016-06-24" @default.
- W2047072171 creator A5001013535 @default.
- W2047072171 creator A5018986449 @default.
- W2047072171 creator A5019208697 @default.
- W2047072171 creator A5056312215 @default.
- W2047072171 creator A5067136870 @default.
- W2047072171 creator A5081975791 @default.
- W2047072171 date "2014-08-01" @default.
- W2047072171 modified "2023-10-16" @default.
- W2047072171 title "Modelling and mapping the local distribution of representative species on the Le Danois Bank, El Cachucho Marine Protected Area (Cantabrian Sea)" @default.
- W2047072171 cites W1489648621 @default.
- W2047072171 cites W1538897293 @default.
- W2047072171 cites W1872384600 @default.
- W2047072171 cites W1881594620 @default.
- W2047072171 cites W1968830286 @default.
- W2047072171 cites W1977135198 @default.
- W2047072171 cites W1979157951 @default.
- W2047072171 cites W1990588351 @default.
- W2047072171 cites W2018702840 @default.
- W2047072171 cites W2026905626 @default.
- W2047072171 cites W2029466234 @default.
- W2047072171 cites W2030507252 @default.
- W2047072171 cites W2032558547 @default.
- W2047072171 cites W2033686454 @default.
- W2047072171 cites W2037782987 @default.
- W2047072171 cites W2046733330 @default.
- W2047072171 cites W2047102646 @default.
- W2047072171 cites W2049106357 @default.
- W2047072171 cites W2050601058 @default.
- W2047072171 cites W2062308786 @default.
- W2047072171 cites W2064642026 @default.
- W2047072171 cites W2065264358 @default.
- W2047072171 cites W2065581978 @default.
- W2047072171 cites W2066654966 @default.
- W2047072171 cites W2073741322 @default.
- W2047072171 cites W2082770797 @default.
- W2047072171 cites W2084269307 @default.
- W2047072171 cites W2087442484 @default.
- W2047072171 cites W2088086245 @default.
- W2047072171 cites W2089932255 @default.
- W2047072171 cites W2091672966 @default.
- W2047072171 cites W2096540192 @default.
- W2047072171 cites W2097373030 @default.
- W2047072171 cites W2099607176 @default.
- W2047072171 cites W2104960492 @default.
- W2047072171 cites W2110387966 @default.
- W2047072171 cites W2115268776 @default.
- W2047072171 cites W2117669423 @default.
- W2047072171 cites W2123807534 @default.
- W2047072171 cites W2134378495 @default.
- W2047072171 cites W2137149744 @default.
- W2047072171 cites W2139416101 @default.
- W2047072171 cites W2139567005 @default.
- W2047072171 cites W2141406366 @default.
- W2047072171 cites W2144806945 @default.
- W2047072171 cites W2146121083 @default.
- W2047072171 cites W2149683058 @default.
- W2047072171 cites W2154427421 @default.
- W2047072171 cites W2159391354 @default.
- W2047072171 cites W2161351531 @default.
- W2047072171 cites W2166072853 @default.
- W2047072171 cites W2168049664 @default.
- W2047072171 cites W2178700827 @default.
- W2047072171 cites W2253963317 @default.
- W2047072171 cites W2271848042 @default.
- W2047072171 cites W4249798810 @default.
- W2047072171 cites W4361752583 @default.
- W2047072171 doi "https://doi.org/10.1016/j.dsr2.2013.12.012" @default.
- W2047072171 hasPublicationYear "2014" @default.
- W2047072171 type Work @default.
- W2047072171 sameAs 2047072171 @default.
- W2047072171 citedByCount "34" @default.
- W2047072171 countsByYear W20470721712014 @default.
- W2047072171 countsByYear W20470721712015 @default.
- W2047072171 countsByYear W20470721712016 @default.
- W2047072171 countsByYear W20470721712017 @default.
- W2047072171 countsByYear W20470721712019 @default.
- W2047072171 countsByYear W20470721712020 @default.
- W2047072171 countsByYear W20470721712021 @default.
- W2047072171 countsByYear W20470721712022 @default.
- W2047072171 countsByYear W20470721712023 @default.
- W2047072171 crossrefType "journal-article" @default.
- W2047072171 hasAuthorship W2047072171A5001013535 @default.
- W2047072171 hasAuthorship W2047072171A5018986449 @default.
- W2047072171 hasAuthorship W2047072171A5019208697 @default.
- W2047072171 hasAuthorship W2047072171A5056312215 @default.
- W2047072171 hasAuthorship W2047072171A5067136870 @default.
- W2047072171 hasAuthorship W2047072171A5081975791 @default.
- W2047072171 hasBestOaLocation W20470721712 @default.
- W2047072171 hasConcept C106131492 @default.
- W2047072171 hasConcept C111368507 @default.
- W2047072171 hasConcept C127313418 @default.
- W2047072171 hasConcept C135559958 @default.
- W2047072171 hasConcept C140779682 @default.
- W2047072171 hasConcept C174943157 @default.
- W2047072171 hasConcept C185933670 @default.
- W2047072171 hasConcept C18903297 @default.