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Functional ecology of fucoid algae: twenty-three years of progress

A. R. O. Chapman
- 01 Jan 1995 - 
- Vol. 34, Iss: 1, pp 1-32
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This article is published in Phycologia.The article was published on 1995-01-01. It has received 220 citations till now. The article focuses on the topics: Functional ecology.

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Improved survival under heat stress in intertidal embryos (Fucus spp.) simultaneously exposed to hypersalinity and the effect of parental thermal history

TL;DR: This study extends the bioindicator utility of heat-shock proteins in studies of intertidal organisms and demonstrates the importance of integrated stress responses in survival of a single stress factor (e.g. temperature).
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Natural variability in zygote dispersal of Ascophyllum nodosum at small spatial scales

TL;DR: The range of zygote dispersal exceeded 6 m from the source, and therefore cannot explain the exponential decline of recruits in large patches within adult stands of A. nodosum, but regression analyses based on settlement densities suggest that a quadratic model fit the data best for all sites.
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Determining the affinities of salt marsh fucoids using microsatellite markers: Evidence of hybridization and introgression between two species of fucus (Phaeophyta) in a Maine estuary

TL;DR: The data indicate that populations of muscoides‐like Fucus in Brave Boat Harbor mainly consist of F1 hybrids between F. vesiculosus and F. spiralis, and support the hypothesis that introgression has occurred between attached populations of F. fucus and other fertile hybrids.
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Soft bottom versus hard rock:: Community ecology of macroalgae on intertidal mussel beds in the Wadden Sea

TL;DR: The recruitment failure on live mussels was due to the accumulation of faeces and pseudofaeces which shade, bury and eventually kill Fucus zygotes underneath, and the abundance of ephemeral seaweeds on mussel beds of the Wadden Sea tidal flats is controlled by grazing.
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Habitat distribution models for intertidal seaweeds: responses to climatic and non‐climatic drivers

TL;DR: In this article, the authors used generalized linear models and applied the deviance and Bayesian information criterion to model the relationship between environmental variables and the distribution of each target species, and used hierarchical partitioning to identify predictor variables with higher independent explanatory power.
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