2013
DOI: 10.5194/bg-10-5227-2013
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Natural variability in hard-bottom communities and possible drivers assessed by a time-series study in the SW Baltic Sea: know the noise to detect the change

Abstract: In order to detect shifts in community structure and function associated with global change, the natural background fluctuation in these traits must be known. In a 6 yr study we characterized the composition of young benthic communities at 7 sites along the 300 km coast of the Kiel and Lübeck bights in the German Baltic Sea and we quantified their interannual variability of taxonomic and functional composition. Along the salinity gradient from NW to SE, the relative abundance of primary producers decreased whi… Show more

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Cited by 6 publications
(3 citation statements)
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“…; Wahl et al . ). For parasite communities in fish, our results suggest that the age of the host, i.e., the time available for colonisation and extinction, as well as richness (for endoparasites) explain the seriation pattern of succession.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…; Wahl et al . ). For parasite communities in fish, our results suggest that the age of the host, i.e., the time available for colonisation and extinction, as well as richness (for endoparasites) explain the seriation pattern of succession.…”
Section: Discussionmentioning
confidence: 97%
“…; Wahl et al . ; Uribe et al . ; Guerra‐Castro & Cruz‐Motta, ) also applies for parasite communities as well, highlighting the robustness of this theory in ecology.…”
Section: Introductionmentioning
confidence: 99%
“…This is a crucial gap, as realistic predictions on the fate of species and populations require accurate indicators of experienced environmental conditions. This has become especially apparent in recent studies, highlighting that the frequency, intensity, and sequence of abiotic change might be more important to the alteration of population dynamics and species distribution ( Pearson et al., 2009 ) than changes in mean conditions ( Wahl et al., 2013 ; Benedetti-Cecchi et al., 2015 ). To strengthen climate predictions, scientists require a tool that provides time-integrated in situ data on both the individual's physiological response (metabolism) and the associated spatiotemporal indicators of experienced abiotic factors ( Bates et al., 2018 ; Kelly, 2019 ).…”
Section: Energy Expenditure and Statement Of Purposementioning
confidence: 99%