Dominant biomes and plant functional type affinity scores derived from published pollen data from Baikal Drilling Project core materials

DOI

An 8.6-million-year record of dominant biomes and plant functional type affinity scores derived from published pollen data from Baikal Drilling Project core materials. We reanalyzed published pollen spectra (n = 993) from the Lake Baikal drill cores (Maki et al. 2003, doi:10.1007/978-4-431-67859-5_8; Hase et al. 2002 [no doi available]; Kawamuro et al. 2000, doi:10.1016/B978-044450434-0/50009-3) using the methods of Prentice et al. (1996, doi:10.1007/BF00211617) to identify the most likely dominant biome represented by each sample. Pollen spectra with fewer than 90 grains were excluded from consideration, leaving 841 spectra.

Methods: We reanalyzed published pollen spectra (n = 993) from the Lake Baikal drill cores (Maki et al. 2003; Hase et al. 2002; Kawamuro et al. 2000) using the methods of Prentice et al. (1996) to identify the most likely dominant biome represented by each sample.All pollen grains were counted by the same analytical team (Maki et al. 2003; Hase et al. 2002; Kawamuro et al. 2000). Pollen spectra with fewer than 90 grains were excluded from consideration, leaving 841 spectra. The original pollen counts are archived electronically by the Lake Biwa Museum. Each pollen taxon was assigned to a plant functional type (PFT) based on the biology of the plant species as in the methodology of Prentice et al. (1996). Some taxa were assigned to more than one PFT because they either contain several species with different biological characteristics or different growth habits depending on their environment (Prentice et al. 1996).  Likewise, some plant functional types are assigned to more than one biome (Prentice et al. 1996). Each pollen sample was assigned affinity scores by the following formula. Aik = Σδi√(max[0, pjk -θj]) Aik is the affinity of a given pollen sample k for biome i; δij is the entry in the biome-taxon matrix for biome i and taxon j; pjk are the pollen taxon percentages counted in the sample, and θj is a universal threshold pollen percentage of 0.5% to minimize the influence of single pollen grains on PFT affinity scores.Pollen samples were then assigned to the biome with the highest sum of affinity scores.Taxa were assigned to plant functional types and biomes based on the published matrices used in regional studies (see Tarasov et al. 2011; Takahara et al. 2010; Takahara et al 2000; Gotanda et al. 2002; Prokopenko et al. 2010; Brigham-Grette et al. 2013). Further funding information: PR 1414/1-1 Deutsche Forchungsgemeinshaft Priority Program "ICDP" 1006 Geological Society of America Continental Drilling Science Division Graduate Student Grant 13282-21* Sigma Xi Grants in Aid of Research G20211001-101

Identifier
DOI https://doi.org/10.1594/PANGAEA.983539
Related Identifier IsPartOf https://doi.org/10.1594/PANGAEA.986603
Related Identifier References https://doi.org/10.1016/B978-044450434-0/50009-3
Related Identifier References https://doi.org/10.1007/978-4-431-67859-5_8
Related Identifier References https://doi.org/10.1007/BF00211617
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.983539
Provenance
Creator Novak, Joseph B ORCID logo; Prokopenko, Alexander A; Tarasov, Pavel E ORCID logo; Russell, James M; Lindemuth, Emma; Shichi, Koji; Kashiwaya, Kenji; Peck, John A; Vachula, Richard ORCID logo; Swann, George E A ORCID logo; Polissar, Pratigya J ORCID logo
Publisher PANGAEA
Publication Year 2026
Funding Reference National Science Foundation https://doi.org/10.13039/100000001 Crossref Funder ID NNA 22-02918 Rainfall, Ecosystems, and Fire in Warm Late Neogene Climates of the Lake Baikal Region
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 16813 data points
Discipline Earth System Research
Spatial Coverage (108.243W, 53.445S, 108.361E, 53.667N)