Literature DB >> 23817776

The impact of climate on the geographical distribution of phytoplankton species in boreal lakes.

Simon Hallstan1, Cristina Trigal, Karin S L Johansson, Richard K Johnson.   

Abstract

Here, we use a novel space-by-time approach to study large-scale changes in phytoplankton species distribution in Swedish boreal lakes in response to climate variability. Using phytoplankton samples from 27 lakes, evenly distributed across Sweden, all relatively unimpacted by anthropogenic disturbance and sampled annually between 1996 and 2010, we found significant shifts in the geographical distribution of 18 species. We also found significant changes in the prevalence of 45 species (33 became more common and 12 less common) over the study period. Using species distribution models and phytoplankton samples from 60 lakes sampled at least twice between 1992 and 2010, we evaluated the importance of climate variability and other environmental variables on species distribution. We found that temperature (e.g., extreme events and the duration of the growing season) was the most important predictor for species detections. Many cyanobacteria, chlorophytes, and, to a lesser extent, diatoms and zygnematophytes, showed congruent and positive responses to temperature. In contrast, precipitation explained little variation and was important only for a few taxa (e.g., Staurodesmus spp., Trachelomonas volvocina). At the community level, our results suggest a change in community composition at temperatures over 20 °C and growing seasons longer than 40 days. We conclude that climate is an important driver of the distributional patterns of individual phytoplankton species and may drive changes in community composition in minimally disturbed boreal lakes.

Entities:  

Mesh:

Year:  2013        PMID: 23817776     DOI: 10.1007/s00442-013-2708-6

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  18 in total

1.  Warmer winters: are planktonic algal populations in Sweden's largest lakes affected?

Authors:  G A Weyhenmeyer
Journal:  Ambio       Date:  2001-12       Impact factor: 5.129

2.  Phytoplankton and water quality characterization: experiences from the Swedish large lakes Mälaren, Hjälmaren, Vättern and Vänern.

Authors:  E Willén
Journal:  Ambio       Date:  2001-12       Impact factor: 5.129

3.  Fingerprints of global warming on wild animals and plants.

Authors:  Terry L Root; Jeff T Price; Kimberly R Hall; Stephen H Schneider; Cynthia Rosenzweig; J Alan Pounds
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

4.  A globally coherent fingerprint of climate change impacts across natural systems.

Authors:  Camille Parmesan; Gary Yohe
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

5.  Large-scale biodiversity patterns in freshwater phytoplankton.

Authors:  Maayke Stomp; Jef Huisman; Gary G Mittelbach; Elena Litchman; Christopher A Klausmeier
Journal:  Ecology       Date:  2011-11       Impact factor: 5.499

6.  Rediscovering the species in community-wide predictive modeling.

Authors:  Julian D Olden; Michael K Joy; Russell G Death
Journal:  Ecol Appl       Date:  2006-08       Impact factor: 4.657

7.  Climate change: links to global expansion of harmful cyanobacteria.

Authors:  Hans W Paerl; Valerie J Paul
Journal:  Water Res       Date:  2011-08-18       Impact factor: 11.236

Review 8.  Controlling harmful cyanobacterial blooms in a world experiencing anthropogenic and climatic-induced change.

Authors:  Hans W Paerl; Nathan S Hall; Elizabeth S Calandrino
Journal:  Sci Total Environ       Date:  2011-02-23       Impact factor: 7.963

9.  Climate change affects timing and size of populations of an invasive cyanobacterium in temperate regions.

Authors:  Claudia Wiedner; Jacqueline Rücker; Rainer Brüggemann; Brigitte Nixdorf
Journal:  Oecologia       Date:  2007-03-21       Impact factor: 3.298

10.  Bias in random forest variable importance measures: illustrations, sources and a solution.

Authors:  Carolin Strobl; Anne-Laure Boulesteix; Achim Zeileis; Torsten Hothorn
Journal:  BMC Bioinformatics       Date:  2007-01-25       Impact factor: 3.169

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