Understanding long-term changes in species abundance using a niche-based approach

Overview
TitleUnderstanding long-term changes in species abundance using a niche-based approach
AuthorsHelaouët P, Beaugrand G, Edwards M
TypeJournal Article
Journal NamePloS one
Volume8
Issue11
Year2013
Page(s)e79186
CitationHelaouët P, Beaugrand G, Edwards M. Understanding long-term changes in species abundance using a niche-based approach. PloS one. 2013; 8(11):e79186.

Abstract

One of the major challenges to understanding population changes in ecology for assessment purposes is the difficulty in evaluating the suitability of an area for a given species. Here we used a new simple approach able to faithfully predict through time the abundance of two key zooplanktonic species by focusing on the relationship between the species' environmental preferences and their observed abundances. The approach is applied to the marine copepods Calanus finmarchicus and C. helgolandicus as a case study characterising the multidecadal dynamics of the North Sea ecosystem. We removed all North Sea data from the Continuous Plankton Recorder (CPR) dataset and described for both species a simplified ecological niche using Sea Surface Temperature (SST) and CPR Phytoplankton Colour Index (PCI). We then modelled the dynamics of each species by associating the North Sea's environmental parameters to the species' ecological niches, thus creating a method to assess the suitability of this area. By using both C. finmarchicus and C. helgolandicus as indicators, the procedure reproduces the documented switches from cold to warm temperate states observed in the North Sea.

Properties
Additional details for this publication include:
Property NameValue
Publication ModelElectronic-eCollection
ISSN1932-6203
eISSN1932-6203
Publication Date2013
Journal AbbreviationPLoS ONE
DOI10.1371/journal.pone.0079186
Elocation10.1371/journal.pone.0079186
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryUnited States
Publication TypeResearch Support, Non-U.S. Gov't
Cross References
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PMID: PMID:24265757