2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
6/06/2017 | 3:15 PM - 3:30 PM | HYDROLOGICAL, ENVIRONMENTAL AND SPATIAL VARIABLES INTERACT TO DETERMINE SPECIES, TRAIT COMPOSITION AND BETA DIVERSITY OF PELAGIC ALGAE | 302C
HYDROLOGICAL, ENVIRONMENTAL AND SPATIAL VARIABLES INTERACT TO DETERMINE SPECIES, TRAIT COMPOSITION AND BETA DIVERSITY OF PELAGIC ALGAE
Algae based bio-assessments, particularly trait-based approaches, are increasingly used now. However, the contribution of hydrological variables to algal community’s variation has been rarely reported, and the main drivers of species, trait composition and beta diversity are less studied. This study aimed to link species and trait composition to multiple factors (i.e. hydrological, local environmental and spatial variables), and to disentangle the relative importance of distinct factors in shaping species, trait composition and beta diversities of pelagic algae.
Both trait and species composition showed significant correlations with hydrological, environmental and spatial variables, respectively. However, trait composition was better explained than species composition by the three factors. Variation partitioning revealed that the hydrological and local environmental variables outperformed spatial variables. Both species and trait based beta diversities were significantly related to hydrological and environmental distances, while the pure spatial distance was shown to be less important. In addition, the decay of community dissimilarities against environmental distance was consistently weaker than hydrological distance, suggesting that environmental filtering did not account for much of the among-site differences in species and trait compositions.
- C18 Biodiversity
- S30 The future of trait-based approaches in research and management
- C17 Bioassessment
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Presenters/Authors
Naicheng Wu
(), Aarhus University, naichengwu88@gmail.com;
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Yueming Qu
(), Kiel University, nwu@hydrology.uni-kiel.de;
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Björn Guse
(), Kiel University, bguse@hydrolog.uni-kiel;
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Kriste Makareviciute
(), Helmholtz Centre for Ocean Research Kiel (GEOMAR), kriste.makareviciute@gmail.com;
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Szewing To
(), Kiel University, stu205208@mail.uni-kiel.de;
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Tenna Riis
(), Aarhus University, nwu@aias.au.dk;
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Nicola Fohrer
(), Kiel University, nwu@daad-alumni.de;
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