Evidence map›Paper›PMID 18322705›Full record

ArticleOecologia2008

Wavelet analysis of ecological time series.

Bernard Cazelles, Mario Chavez, Dominique Berteaux, Frédéric Ménard, Jon Olav Vik, Stéphanie Jenouvrier, Nils C Stenseth

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Oecologia, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

147 citing papers in PubMed.

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  19. Impact of Climate Variability and Interventions on Malaria Incidence and Forecasting in Burkina Faso.International journal of environmental research and public health · 2024
    Article
  20. Article

87 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Bernard CazellesEcole Normale Supérieure, CNRS UMR 7625, Paris, France. cazelles@biologie.ens.fr
Mario Chavez
Dominique Berteaux
Frédéric Ménard
Jon Olav Vik
Stéphanie Jenouvrier
Nils C Stenseth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wavelet analysis is a powerful tool that is already in use throughout science and engineering. The versatility and attractiveness of the wavelet approach lie in its decomposition properties, principally its time-scale localization. It is especially relevant to the analysis of non-stationary systems, i.e., systems with short-lived transient components, like those observed in ecological systems. Here, we review the basic properties of the wavelet approach for time-series analysis from an ecological perspective. Wavelet decomposition offers several advantages that are discussed in this paper and illustrated by appropriate synthetic and ecological examples. Wavelet analysis is notably free from the assumption of stationarity that makes most methods unsuitable for many ecological time series. Wavelet analysis also permits analysis of the relationships between two signals, and it is especially appropriate for following gradual change in forcing by exogenous variables.

Indexed as

EcosystemModels, TheoreticalPopulation DynamicsEcologyTime Factors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.