GEOSCAN, résultats de la recherche


TitreEvaluating periodicities in peat-based climate proxy records
AuteurSwindles, G T; Patterson, R T; Roe, H M; Galloway, J M
SourceQuaternary Science Reviews vol. 41, 2012 p. 94-103,
Séries alt.Secteur des sciences de la Terre, Contribution externe 20120130
Documentpublication en série
Mediapapier; en ligne; numérique
Lat/Long OENS -6.5500 -6.2167 55.6833 54.8833
SujetsHolocène; tourbe; tourbières; effets climatiques; climat; analyses spectrales; Changement climatique; géologie des dépôts meubles/géomorphologie; Cénozoïque; Quaternaire
Illustrationslocation maps; plots; graphs; tables
Programmeadaptation et impacts sur l'environnement, environnement du nord, Géosciences de l'environnement
Résumé(disponible en anglais seulement)
Proxy records derived from ombrotrophic peatlands provide important insights into climate change over decadal to millennial timescales. We present mid- to late- Holocene humification data and testate amoebae-derived water table records from two peatlands in Northern Ireland. We examine the replication of periodicities in these proxy climate records, which have been precisely linked through tephrochronology. Age-depth models are constructed using a Bayesian piece-wise linear accumulation model and chronological errors are calculated for each profile. A Lomb-Scargle Fourier transform-based spectral analysis is used to test for statistically significant periodicities in the data. Periodicities of c. 130, 180, 260, 540 and 1160 years are present in at least one proxy record at each site. The replication of these periodicities provides persuasive evidence that they are a product of allogenic climate controls, rather than internal peatland dynamics. A technique to estimate the possible level of red-noise in the data is applied and demonstrates that the observed periodicities cannot be explained by a first-order autoregressive model. We review the periodicities in the light of those reported previously from other marine and terrestrial climate proxy archives to consider climate forcing parameters.