Seascape genetics and biophysical connectivity modelling support conservation of the seagrass Zostera marina in the Skagerrak-Kattegat region of the eastern North Sea

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Fältnamn	Indikatorer	Metadata
000		05020naa a2200553 4500
001		oai:research.chalmers.se:3a51831b-4504-4ef0-b657-b00ede62e1e1
003		SwePub
008		180614s2018 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:gup.ub.gu.se/262644
024	7	a https://research.chalmers.se/publication/5038042 URI
024	7	a https://research.chalmers.se/publication/5035852 URI
024	7	a https://doi.org/10.1111/eva.125892 DOI
024	7	a https://gup.ub.gu.se/publication/2626442 URI
040		a (SwePub)cthd (SwePub)gu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Jahnke, Marleneu Gothenburg University,Göteborgs universitet,Institutionen för marina vetenskaper,Department of marine sciences4 aut0 (Swepub:gu)xjahmw
245	1 0	a Seascape genetics and biophysical connectivity modelling support conservation of the seagrass Zostera marina in the Skagerrak-Kattegat region of the eastern North Sea
264		c 2018-01-26
264	1	b Wiley,c 2018
338		a electronic2 rdacarrier
520		a Maintaining and enabling evolutionary processes within meta-populations are critical to resistance, resilience and adaptive potential. Knowledge about which populations act as sources or sinks, and the direction of gene flow, can help to focus conservation efforts more effectively and forecast how populations might respond to future anthropogenic and environmental pressures. As a foundation species and habitat provider, Zostera marina (eelgrass) is of critical importance to ecosystem functions including fisheries. Here, we estimate connectivity of Z.marina in the Skagerrak-Kattegat region of the North Sea based on genetic and biophysical modelling. Genetic diversity, population structure and migration were analysed at 23 locations using 20 microsatellite loci and a suite of analytical approaches. Oceanographic connectivity was analysed using Lagrangian dispersal simulations based on contemporary and historical distribution data dating back to the late 19th century. Population clusters, barriers and networks of connectivity were found to be very similar based on either genetic or oceanographic analyses. A single-generation model of dispersal was not realistic, whereas multigeneration models that integrate stepping-stone dispersal and extant and historic distribution data were able to capture and model genetic connectivity patterns well. Passive rafting of flowering shoots along oceanographic currents is the main driver of gene flow at this spatial-temporal scale, and extant genetic connectivity strongly reflects the ghost of dispersal past sensu Benzie, . The identification of distinct clusters, connectivity hotspots and areas where connectivity has become limited over the last century is critical information for spatial management, conservation and restoration of eelgrass.
650	7	a NATURVETENSKAPx Biologix Evolutionsbiologi0 (SwePub)106152 hsv//swe
650	7	a NATURAL SCIENCESx Biological Sciencesx Evolutionary Biology0 (SwePub)106152 hsv//eng
650	7	a NATURVETENSKAPx Biologix Ekologi0 (SwePub)106112 hsv//swe
650	7	a NATURAL SCIENCESx Biological Sciencesx Ecology0 (SwePub)106112 hsv//eng
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng
653		a barrier analysis
653		a directional dispersal
653		a isolation by oceanography
653		a conservation
653		a Lagrangian particles
653		a seascape genetics
700	1	a Jonsson, Per R.,d 1957u Gothenburg University,Göteborgs universitet,Institutionen för marina vetenskaper,Department of marine sciences4 aut0 (Swepub:gu)xjpera
700	1	a Moksnes, Per-Olav,d 1965u Gothenburg University,Göteborgs universitet,Institutionen för marina vetenskaper,Department of marine sciences4 aut0 (Swepub:gu)xmokpe
700	1	a Loo, Lars-Ove,d 1954u Gothenburg University,Göteborgs universitet,Institutionen för marina vetenskaper,Department of marine sciences4 aut0 (Swepub:gu)xloola
700	1	a Nilsson Jacobi, Martin,d 1972u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)mjacobi
700	1	a Olsen, Jeanine L.u Rijksuniversiteit Groningen,University of Groningen4 aut
710	2	a Göteborgs universitetb Institutionen för marina vetenskaper4 org
773	0	t Evolutionary Applicationsd : Wileyg 11:5, s. 645-661q 11:5<645-661x 1752-4563x 1752-4571
856	4	u https://research.chalmers.se/publication/503804/file/503804_Fulltext.pdfx primaryx freey FULLTEXT
856	4	u https://doi.org/10.1111/eva.12589
856	4 8	u https://research.chalmers.se/publication/503804
856	4 8	u https://research.chalmers.se/publication/503585
856	4 8	u https://doi.org/10.1111/eva.12589
856	4 8	u https://gup.ub.gu.se/publication/262644

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Av författaren/redakt...: Jahnke, Marlene; Jonsson, Per R., ...; Moksnes, Per-Ola ...; Loo, Lars-Ove, 1 ...; Nilsson Jacobi, ...; Olsen, Jeanine L ...

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