2021
DOI: 10.1002/jqs.3392
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Abrupt intrinsic and extrinsic responses of southwestern Iberian vegetation to millennial‐scale variability over the past 28 ka

Abstract: We present new high‐resolution pollen records combined with palaeoceanographic proxies from the same samples in deep‐sea cores SHAK06‐5K and MD01‐2444 on the southwestern Iberian Margin, documenting regional vegetation responses to orbital and millennial‐scale climate changes over the last 28 ka. The chronology of these records is based on high‐resolution radiocarbon dates of monospecific samples of the planktonic foraminifera Globigerina bulloides, measured from SHAK06‐5K and MD01‐2444 and aligned using an au… Show more

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Cited by 12 publications
(2 citation statements)
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References 159 publications
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“…The stratigraphic alignment was modelled using an automated algorithm based on Markov-chain Monte Carlo (MCMC) inversion. The method was previously presented in Muschitiello et al (2020) and was successfully applied on a variety of paleoceanographic records (Cutmore et al, 2022;Muschitiello et al, 2019;Sessford et al, 2019). The δ 18 O data were used as inputs to the automated alignment algorithm to obtain a continuous synchronization of PRAD1-2 and 971A, whereas the tie points served as gateways to "nudge" the δ 18 O alignment assuming an uncertainty in the depth domain constrained by neighbouring δ 18 O sample points (with 2σ).…”
Section: Age-depth Modelmentioning
confidence: 99%
“…The stratigraphic alignment was modelled using an automated algorithm based on Markov-chain Monte Carlo (MCMC) inversion. The method was previously presented in Muschitiello et al (2020) and was successfully applied on a variety of paleoceanographic records (Cutmore et al, 2022;Muschitiello et al, 2019;Sessford et al, 2019). The δ 18 O data were used as inputs to the automated alignment algorithm to obtain a continuous synchronization of PRAD1-2 and 971A, whereas the tie points served as gateways to "nudge" the δ 18 O alignment assuming an uncertainty in the depth domain constrained by neighbouring δ 18 O sample points (with 2σ).…”
Section: Age-depth Modelmentioning
confidence: 99%
“…The numerical approach builds upon previous work using a hidden Markov model for automated synchronization of paleoclimate records (Cutmore et al, 2021;Muschitiello et al, 2020Muschitiello et al, , 2019Sessford et al, 2019;West et al, 2021West et al, , 2019. The model employed here uses constraints imposed by the MCE, i.e.…”
Section: Probabilistic Algorithm For Proxy-data Synchronizationmentioning
confidence: 99%