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Species- and community-level responses combine to drive phenology of lake phytoplankton

Ecology

By:
, , and
DOI: 10.1890/13-0445.1

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Abstract

Global change is leading to shifts in the seasonal timing of growth and maturation for primary producers. Remote sensing is increasingly used to measure the timing of primary production in both aquatic and terrestrial ecosystems, but there is often a poor correlation between these results and direct observations of life-history responses of individual species. One explanation may be that in addition to phenological shifts, global change is also causing shifts in community composition among species with different seasonal timing of growth and maturation. We quantified how shifts in species phenology and in community composition translated into phenological change in a diverse phytoplankton community from 1962-2000. During this time the aggregate community spring-summer phytoplankton peak has shifted 63 days earlier. The mean taxon shift was only 3 days earlier and shifts in taxa phenology explained only 40% of the observed community phenological shift. The remaining community shift was attributed to dominant early season taxa increasing in abundance while a dominant late season taxon decreased in abundance. In diverse producer communities experiencing multiple stressors, changes in species composition must be considered to fully understand and predict shifts in the seasonal timing of primary production.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Species- and community-level responses combine to drive phenology of lake phytoplankton
Series title:
Ecology
DOI:
10.1890/13-0445.1
Volume
94
Issue:
10
Year Published:
2013
Language:
English
Publisher:
Ecological Society of America
Contributing office(s):
Wyoming Cooperative Fish and Wildlife Research Unit
Description:
7 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Ecology
First page:
2188
Last page:
2194
Country:
United States
State:
Washington
Other Geospatial:
Lake Washington