EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/23/2019 | 2:45 PM - 3:00 PM | INCORPORATING TRAIT AND METACOMMUNITY THEORY INTO LAKE RESEARCH | 150 DEF
INCORPORATING TRAIT AND METACOMMUNITY THEORY INTO LAKE RESEARCH
Using metacommunity theory to understand the mechanisms that shape organismal community structure is a promising framework that has been widely applied to ecological research. In lakes, the spatial pattern of phytoplankton assemblages depends on the relative importance of environmental filtering, spatial process, and grazing pressure, but the inclusion of the latter two factors was often overlooked. We combined trait and metacommunity framework to tease apart important factors shaping phytoplankton community in a Chinese shallow lake. Our results indicated that the taxonomic composition of phytoplankton assemblages are mainly determined by environmental factors (7.6±1.3%), followed by spatial processes (4.7±1.0%) and grazing pressure (2.9±0.5%). However, for the nine species traits groups, the relative influences of environmental, grazing and spatial factors were trait dependent, suggesting that different mechanisms were responsible for the community underscoring the potential advantages of traits in water quality assessment. Furthermore, our results indicated that some traits, e.g., large cell size and filamentous, which are predominantly driven by environmental factors, could be excellent candidates as bio-indicators. In general, our findings suggest that combination of metacommunity theory and traits provide a useful framework for assessing the mechanisms underlying metacommunity patterns in lakes.
- Bioassessment
- Bioindicators
- Zooplankton
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Presenters/Authors
Naicheng Wu
(), Aarhus University, naichengwu88@gmail.com;
ASHA DISCLOSURE:
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Nonfinancial -