Synchrony is more than its top-down and climatic parts: interacting Moran effects on phytoplankton in British seas

Overview
TitleSynchrony is more than its top-down and climatic parts: interacting Moran effects on phytoplankton in British seas
AuthorsSheppard LW, Defriez EJ, Reid PC, Reuman DC
TypeJournal Article
Journal NamePLoS computational biology
Volume15
Issue3
Year2019
Page(s)e1006744
CitationSheppard LW, Defriez EJ, Reid PC, Reuman DC. Synchrony is more than its top-down and climatic parts: interacting Moran effects on phytoplankton in British seas. PLoS computational biology. 2019 Mar; 15(3):e1006744.

Abstract

Large-scale spatial synchrony is ubiquitous in ecology. We examined 56 years of data representing chlorophyll density in 26 areas in British seas monitored by the Continuous Plankton Recorder survey. We used wavelet methods to disaggregate synchronous fluctuations by timescale and determine that drivers of synchrony include both biotic and abiotic variables. We tested these drivers for statistical significance by comparison with spatially synchronous surrogate data. Identification of causes of synchrony is distinct from, and goes beyond, determining drivers of local population dynamics. We generated timescale-specific models, accounting for 61% of long-timescale (> 4yrs) synchrony in a chlorophyll density index, but only 3% of observed short-timescale (< 4yrs) synchrony. Thus synchrony and its causes are timescale-specific. The dominant source of long-timescale chlorophyll synchrony was closely related to sea surface temperature, through a climatic Moran effect, though likely via complex oceanographic mechanisms. The top-down action of Calanus finmarchicus predation enhances this environmental synchronising mechanism and interacts with it non-additively to produce more long-timescale synchrony than top-down and climatic drivers would produce independently. Our principal result is therefore a demonstration of interaction effects between Moran drivers of synchrony, a new mechanism for synchrony that may influence many ecosystems at large spatial scales.

Properties
Additional details for this publication include:
Property NameValue
Journal CountryUnited States
Publication TypeJournal Article
Language Abbreng
LanguageEnglish
Elocation10.1371/journal.pcbi.1006744
DOI10.1371/journal.pcbi.1006744
Journal AbbreviationPLoS Comput. Biol.
Publication Date2019 Mar
eISSN1553-7358
ISSN1553-7358
Publication ModelElectronic-eCollection
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PMID: PMID:30921328