2019
DOI: 10.1016/j.seares.2019.101795
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Juvenile fish habitat across the inner Danish waters: Habitat association models and habitat growth models for European plaice, flounder and common sole informed by a targeted survey

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Cited by 5 publications
(2 citation statements)
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References 122 publications
(159 reference statements)
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“…Regular monitoring of juvenile habitats to provide data for assessment can generate spatially-explicit evidence for local productive areas to inform environmental management. Surveys can provide information on juvenile responses to both environmental drivers (Hermant et al, 2010;Caputi et al, 2014;Lagarde et al, 2018;Brown et al, 2019) and anthropogenic pressures (Rochette et al, 2010;Archambault et al, 2018), which can influence future stock dynamics (Stige et al, 2013). Habitat degradation can result in either overly optimistic or overly conservative assessments of stock status (Brown et al, 2018b).…”
Section: Discussionmentioning
confidence: 99%
“…Regular monitoring of juvenile habitats to provide data for assessment can generate spatially-explicit evidence for local productive areas to inform environmental management. Surveys can provide information on juvenile responses to both environmental drivers (Hermant et al, 2010;Caputi et al, 2014;Lagarde et al, 2018;Brown et al, 2019) and anthropogenic pressures (Rochette et al, 2010;Archambault et al, 2018), which can influence future stock dynamics (Stige et al, 2013). Habitat degradation can result in either overly optimistic or overly conservative assessments of stock status (Brown et al, 2018b).…”
Section: Discussionmentioning
confidence: 99%
“…To assess community composition, Jaccard distances (Jaccard, 1901;Tanimoto, 1957) were calculated and ordinated in three dimensions ordinated in three dimensions, but presented ordinates in pairs as two dimensional plots using non-metric multidimensional scaling (NMDS) with the vegdist function. The analyses were computed separately for each dataset (eDNA and Fish Atlas) and sampling sites were grouped into eight sub-areas (North Sea, Limfjord, Kattegat, Samso Belt, Great Belt, Little Belt, Baltic Sea and The Sound), based on geographical distribution (Teilmann et al, 2008;Brown et al, 2019; see Figure 1). To evaluate the effect of sub-areas and datasets, Jaccard dissimilarity matrices were tested for multivariate analysis of variance (PERMANOVAadonis function) and homogeneity of variance (PERMDISP2betadisper function) with bias adjustment for different sample sizes, both using 999 permutations.…”
Section: Community Composition Analysismentioning
confidence: 99%