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Rate-of-change analysis in paleoecology revisited : A new approach

Titelangaben

Mottl, Ondřej ; Grytnes, John-Arvid ; Seddon, Alistair W. R. ; Steinbauer, Manuel ; Bhatta, Kuber P. ; Felde, Vivian A. ; Flantua, Suzette G. A. ; Birks, H. John B.:
Rate-of-change analysis in paleoecology revisited : A new approach.
In: Review of Palaeobotany and Palynology. Bd. 293 (2021) . - No. 104483.
ISSN 0034-6667
DOI: https://doi.org/10.1016/j.revpalbo.2021.104483

Abstract

Dynamics in the rate of compositional change (rate-of-change; RoC), preserved in paleoecological sequences, are thought to reflect changes due to exogenous (climate and human forcing) or endogenous (local dynamics and biotic interactions) drivers. However, changes in sedimentation rates and sampling strategies can result in an uneven distribution of time intervals and are known to affect RoC estimates. Furthermore, there has been relatively little exploration of the implications of these challenges in quantifying RoC in paleoecology.

Here, we introduce R-Ratepol – an easy-to-use R package – that provides a robust numerical technique for detecting and summarizing RoC patterns in complex multivariate time-ordered stratigraphical sequences. First, we compare the performance of common methods of estimating RoC and detecting periods of high RoC (peak-point) using simulated pollen-stratigraphical data with known patterns of compositional change and temporal resolution. In addition, we propose a new method of binning with a moving window, which shows a more than 5-fold increase in the correct detection of peak-points compared to the more traditional way of using individual levels.

Next, we apply our new methodology to four representative European pollen sequences and show that our approach also performs well in detecting periods of significant compositional change during known onsets of human activity, early land-use transformation, and changes in fire frequency.

Expanding the approach using R-Ratepol to open-access paleoecological datasets in global databases, such as Neotoma, will allow future paleoecological and macroecological studies to quantify major changes in biotic composition or in sets of abiotic variables across broad spatiotemporal scales.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften
Fakultäten > Kulturwissenschaftliche Fakultät > Institut für Sportwissenschaft > Professur Sportökologie
Profilfelder > Advanced Fields > Ökologie und Umweltwissenschaften
Forschungseinrichtungen > Forschungszentren > Bayreuther Zentrum für Ökologie und Umweltforschung - BayCEER
Fakultäten
Fakultäten > Kulturwissenschaftliche Fakultät
Fakultäten > Kulturwissenschaftliche Fakultät > Institut für Sportwissenschaft
Profilfelder
Profilfelder > Advanced Fields
Forschungseinrichtungen
Forschungseinrichtungen > Forschungszentren
Fakultäten > Kulturwissenschaftliche Fakultät > Institut für Sportwissenschaft > Professur Sportökologie > Professur Sportökologie - Univ.-Prof. Dr. Manuel Jonas Steinbauer
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften
500 Naturwissenschaften und Mathematik > 560 Fossilien, Paläontologie
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
500 Naturwissenschaften und Mathematik > 580 Pflanzen (Botanik)
Eingestellt am: 11 Apr 2022 09:49
Letzte Änderung: 28 Jul 2022 07:42
URI: https://eref.uni-bayreuth.de/id/eprint/69132