2013
DOI: 10.5194/bgd-10-2967-2013
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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 quantified year to year variability of taxonomic and functional composition of benthic hard bottom communities in the Western Baltic. While taxonomic fluctuations were substantial, functionality of the communities seems preserved in most cases. Environmental conditions potentially driving these fluctuations are winter temperatures … Show more

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Cited by 2 publications
(5 citation statements)
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References 49 publications
(15 reference statements)
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“…These patterns were related to the age of the fish. Therefore, we provide support for the idea that the ecological theory of succession extensively described for freeliving communities (Clarke et al 1993;Wahl et al 2013;Uribe et al 2015;Guerra-Castro & Cruz-Motta, 2018) also applies for parasite communities as well, highlighting the robustness of this theory in ecology.…”
Section: Introductionsupporting
confidence: 71%
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“…These patterns were related to the age of the fish. Therefore, we provide support for the idea that the ecological theory of succession extensively described for freeliving communities (Clarke et al 1993;Wahl et al 2013;Uribe et al 2015;Guerra-Castro & Cruz-Motta, 2018) also applies for parasite communities as well, highlighting the robustness of this theory in ecology.…”
Section: Introductionsupporting
confidence: 71%
“…; 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%
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“…Then, the biomass of each code (i.e. functional trait group) was estimated by summing the biomass of all taxa for each group [ 39 , 40 ]. Finally, the number of taxonomic identities and functional trait groups (hereafter referred to as taxon richness and total functional richness, respectively), the biomass of each functional trait group (i.e.…”
Section: Methodsmentioning
confidence: 99%