Matches in SemOpenAlex for { <https://semopenalex.org/work/W2307664516> ?p ?o ?g. }
- W2307664516 endingPage "88" @default.
- W2307664516 startingPage "73" @default.
- W2307664516 abstract "MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 532:73-88 (2015) - DOI: https://doi.org/10.3354/meps11341 Climatic and environmental factors influencing occurrence and distribution of macroalgae — a fjord gradient revisited Kjersti Sjøtun1,*, Vivian Husa1,2, Lars Asplin2, Anne Dagrun Sandvik2 1Department of Biology, University of Bergen, PO Box 7803, 5020 Bergen, Norway 2Institute of Marine Research, PO Box 1870 Nordnes, 5817 Bergen, Norway *Corresponding author: kjersti.sjotun@uib.no ABSTRACT: During the last decades, trends of increasing sea water temperatures and precipitation have been observed in the North Atlantic. Increasing sea water temperatures are expected to have strong effects on coastal benthic species. Here, the distributions of macroalgae were correlated to hydrographical indexes determined from measurements at sampling and hydrographical stations along the fjord during 2 investigation periods: 1955-1956 and 2008-2009. The following indexes were used: annual maximum sea temperature, minimum salinity, and salinity stress (calculated as the difference between maximum and minimum salinity). In addition, changes in macroalgal species abundance and distribution range in the fjord were calculated. The hydrographical measurements showed higher summer temperatures and reduced salinity stress due to lower winter salinity during 2008-2009. Results from constrained ordination analyses showed that the highest variation of the macroalgal distributions along the fjord was explained by hydrographical indexes from 5 m depth, and that there were strong response differences between the algal groups. The red algae were most strongly and positively correlated with the maximum temperature gradient, and also negatively correlated with increasing salinity stress. Many red algae species also increased in abundance and their distribution ranges shifted further into the fjord in 2008-2009. The brown algae showed the highest negative correlation with increasing salinity stress, and less change in abundance or range shifts along the fjord. Some brown algae species showed a strong correlation with temperature (positive or negative). These results demonstrate that both temperature and salinity changes will impact cold temperate macroalgal communities. KEY WORDS: Macroalgal community · Hydrography · Climate change · Fjord gradient · Species composition Full text in pdf format PreviousNextCite this article as: Sjøtun K, Husa V, Asplin L, Sandvik AD (2015) Climatic and environmental factors influencing occurrence and distribution of macroalgae — a fjord gradient revisited. Mar Ecol Prog Ser 532:73-88. https://doi.org/10.3354/meps11341 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 532. Online publication date: July 21, 2015 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2015 Inter-Research." @default.
- W2307664516 created "2016-06-24" @default.
- W2307664516 creator A5008063923 @default.
- W2307664516 creator A5018439983 @default.
- W2307664516 creator A5060150179 @default.
- W2307664516 creator A5084940303 @default.
- W2307664516 date "2015-07-21" @default.
- W2307664516 modified "2023-09-27" @default.
- W2307664516 title "Climatic and environmental factors influencing occurrence and distribution of macroalgae — a fjord gradient revisited" @default.
- W2307664516 cites W1503832382 @default.
- W2307664516 cites W1516370651 @default.
- W2307664516 cites W1965824377 @default.
- W2307664516 cites W1977129498 @default.
- W2307664516 cites W1979315430 @default.
- W2307664516 cites W1986334536 @default.
- W2307664516 cites W1990165836 @default.
- W2307664516 cites W1991134979 @default.
- W2307664516 cites W2004972511 @default.
- W2307664516 cites W2006255479 @default.
- W2307664516 cites W2006565683 @default.
- W2307664516 cites W2009503692 @default.
- W2307664516 cites W2012729883 @default.
- W2307664516 cites W2015214095 @default.
- W2307664516 cites W2016949000 @default.
- W2307664516 cites W2017534994 @default.
- W2307664516 cites W2021079560 @default.
- W2307664516 cites W2025739105 @default.
- W2307664516 cites W2026471243 @default.
- W2307664516 cites W2027248998 @default.
- W2307664516 cites W2041467618 @default.
- W2307664516 cites W2046733927 @default.
- W2307664516 cites W2059535693 @default.
- W2307664516 cites W2060679115 @default.
- W2307664516 cites W2060747640 @default.
- W2307664516 cites W2078606276 @default.
- W2307664516 cites W2094171438 @default.
- W2307664516 cites W2096086077 @default.
- W2307664516 cites W2101944335 @default.
- W2307664516 cites W2114475796 @default.
- W2307664516 cites W2119704867 @default.
- W2307664516 cites W2125511075 @default.
- W2307664516 cites W2131840576 @default.
- W2307664516 cites W2135857928 @default.
- W2307664516 cites W2135858501 @default.
- W2307664516 cites W2138327274 @default.
- W2307664516 cites W2138576770 @default.
- W2307664516 cites W2139707594 @default.
- W2307664516 cites W2139948716 @default.
- W2307664516 cites W2146564995 @default.
- W2307664516 cites W2155533938 @default.
- W2307664516 cites W2165835114 @default.
- W2307664516 cites W2168884338 @default.
- W2307664516 cites W2171401359 @default.
- W2307664516 cites W2255433672 @default.
- W2307664516 cites W2326380609 @default.
- W2307664516 cites W2491011053 @default.
- W2307664516 cites W348280854 @default.
- W2307664516 doi "https://doi.org/10.3354/meps11341" @default.
- W2307664516 hasPublicationYear "2015" @default.
- W2307664516 type Work @default.
- W2307664516 sameAs 2307664516 @default.
- W2307664516 citedByCount "25" @default.
- W2307664516 countsByYear W23076645162016 @default.
- W2307664516 countsByYear W23076645162017 @default.
- W2307664516 countsByYear W23076645162018 @default.
- W2307664516 countsByYear W23076645162019 @default.
- W2307664516 countsByYear W23076645162020 @default.
- W2307664516 countsByYear W23076645162021 @default.
- W2307664516 countsByYear W23076645162022 @default.
- W2307664516 countsByYear W23076645162023 @default.
- W2307664516 crossrefType "journal-article" @default.
- W2307664516 hasAuthorship W2307664516A5008063923 @default.
- W2307664516 hasAuthorship W2307664516A5018439983 @default.
- W2307664516 hasAuthorship W2307664516A5060150179 @default.
- W2307664516 hasAuthorship W2307664516A5084940303 @default.
- W2307664516 hasBestOaLocation W23076645161 @default.
- W2307664516 hasConcept C100970517 @default.
- W2307664516 hasConcept C111368507 @default.
- W2307664516 hasConcept C127313418 @default.
- W2307664516 hasConcept C129513315 @default.
- W2307664516 hasConcept C135310875 @default.
- W2307664516 hasConcept C140302290 @default.
- W2307664516 hasConcept C175570560 @default.
- W2307664516 hasConcept C18903297 @default.
- W2307664516 hasConcept C205649164 @default.
- W2307664516 hasConcept C23715911 @default.
- W2307664516 hasConcept C39432304 @default.
- W2307664516 hasConcept C559758991 @default.
- W2307664516 hasConcept C77077793 @default.
- W2307664516 hasConcept C83042747 @default.
- W2307664516 hasConcept C86803240 @default.
- W2307664516 hasConceptScore W2307664516C100970517 @default.
- W2307664516 hasConceptScore W2307664516C111368507 @default.
- W2307664516 hasConceptScore W2307664516C127313418 @default.
- W2307664516 hasConceptScore W2307664516C129513315 @default.
- W2307664516 hasConceptScore W2307664516C135310875 @default.
- W2307664516 hasConceptScore W2307664516C140302290 @default.
- W2307664516 hasConceptScore W2307664516C175570560 @default.