2019
DOI: 10.1007/s12520-019-00839-y
|View full text |Cite
|
Sign up to set email alerts
|

Evidence for non-random distribution of pollen in human coprolites

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 19 publications
0
9
0
Order By: Relevance
“…Taylor et al (2019) examined pollen, plant macrofossils, bone, and hair from eleven YD/EH Paisley Caves coprolites, including subsamples of three coprolites analyzed for this study (coprolites 55, 56, and 57). Notably, there are significant differences in plant macrofossil recovery and pollen frequency/concentration in subsamples from the same coprolite, adding support to research documenting variability in dietary records from samples taken at different locations of the same coprolite (Beck et al 2019;Martin and Sharrock 1964). Taylor et al (2019) conclude that diets leaned toward animal resources, primarily lagomorphs but also bighorn sheep (Ovis canadensis) and rodent (in EH contexts), with limited evidence for consumption of plant foods and no evidence for season of occupation.…”
Section: Yd and Eh Dietsmentioning
confidence: 74%
See 1 more Smart Citation
“…Taylor et al (2019) examined pollen, plant macrofossils, bone, and hair from eleven YD/EH Paisley Caves coprolites, including subsamples of three coprolites analyzed for this study (coprolites 55, 56, and 57). Notably, there are significant differences in plant macrofossil recovery and pollen frequency/concentration in subsamples from the same coprolite, adding support to research documenting variability in dietary records from samples taken at different locations of the same coprolite (Beck et al 2019;Martin and Sharrock 1964). Taylor et al (2019) conclude that diets leaned toward animal resources, primarily lagomorphs but also bighorn sheep (Ovis canadensis) and rodent (in EH contexts), with limited evidence for consumption of plant foods and no evidence for season of occupation.…”
Section: Yd and Eh Dietsmentioning
confidence: 74%
“…The other half has been retained in the sample archive. Collecting a subsample representing the entire length of the coprolite is preferred because macro-and microfossils can be unequally distributed along the length of a coprolite as a by-product of consuming different meals (Beck et al 2019;Martin and Sharrock 1964). The exception to this methodology occurred with samples 57, 195, and 215, which consisted of already-fragmented coprolite material; for these three samples, a discrete fragment was collected for our analysis to preserve as much intact material as possible for future research.…”
Section: Coprolite Sampling and Morphological Descriptionmentioning
confidence: 99%
“…However, there are variable approaches to sampling coprolites, and there have been few studies to measure the effect of sampling on resulting data. Beck et al (2019) make an important methodological contribution by testing variations in pollen content from samples collected at different locations on coprolites from the Hinds Cave in the Lower Pecos region of Texas. This study found differences in pollen preservation, the number of taxa represented, pollen concentration, and pollen frequency in 1 cc samples collected at different locations on the same coprolite.…”
Section: Towards Standardized Methodologies and Understanding Biasmentioning
confidence: 99%
“…The criteria for establishing intentional consumption of plant material from coprolites are followed in several papers in a special issue (Battillo 2019, Blong et al 2020McDonough 2019). However, as Beck et al (2019) discuss, the few studies directly testing the assumptions underpinning these criteria suggest a complex relationship between pollen consumption and quantity present in human fecal samples.…”
Section: Towards Standardized Methodologies and Understanding Biasmentioning
confidence: 99%
See 1 more Smart Citation