2019
DOI: 10.1016/j.jas.2018.12.006
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Sporormiella dung fungal spores and oribatid mites as indicators of large herbivore presence: evidence from the Cuzco region of Peru

Abstract: The ability of sedimentary proxies (especially dung fungal spores) to reflect the past presence and density of large herbivores on a landscape has been receiving increasing scrutiny. Here we examine the Sporormiella spore record from a well-dated, multiproxy, highly organic sedimentary record from the small lake basin of Marcacocha in the Cuzco region of Peru. The basin, a wetland since ca. AD 1840, existed as a small lake for at least 4000 years prior. Previous work at Marcacocha has shown that changes in her… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
5
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 58 publications
1
5
0
Order By: Relevance
“…This is not the case at Moor House, where stocking levels are low and grazing impacts are limited. Disparities between CFS and non-pollen grazing indicators have also been observed in previous studies, although the reasons for this are not always clear (Ortiz et al 2016, Chepstow-Lusty et al 2019, while other records show strong and consistent correlations between palynological and fungal indicator values (e.g. Wood et al 2016).…”
Section: Understanding Coprophilous Fungal Spore Signalssupporting
confidence: 56%
“…This is not the case at Moor House, where stocking levels are low and grazing impacts are limited. Disparities between CFS and non-pollen grazing indicators have also been observed in previous studies, although the reasons for this are not always clear (Ortiz et al 2016, Chepstow-Lusty et al 2019, while other records show strong and consistent correlations between palynological and fungal indicator values (e.g. Wood et al 2016).…”
Section: Understanding Coprophilous Fungal Spore Signalssupporting
confidence: 56%
“…Analyses of sedimentary deposits can reveal fungal community alterations and associated ecosystem changes over long periods of time. Investigating past fungal biodiversity changes by reconstructing paleoecosystems may generate insights regarding basal structural developments that are to date mostly overlooked in classical palynological approaches due to reliance on microscopic remains (Taylor and Osborn, 1996;Wood and Wilmshurst, 2013;Chepstow-Lusty et al, 2019). While molecular genetic methods are commonly used at present to investigate modern ecosystems (Heeger et al, 2018;Adamo et al, 2020), far fewer studies have been conducted on fungal biodiversity in paleoecosystems.…”
Section: Introductionmentioning
confidence: 99%
“…A commonly employed alternative is the use of proxy indicators, such as spores of coprophilous fungi, including those belonging to the Sporormiella ‐ Preussia species complex, Sordaria sp., Podospora sp., or Pilobolus sp. (reviewed by Perrotti & van Asperen 2019) or oribatid mites (Chepstow‐Lusty et al 2019). Morphological identification of spores of coprophilous fungi is complicated, and results may be error‐prone due to insufficient taxonomic resolution of spores and a lack of information on their biology, that is which fungal taxa are dependent solely on dung and therefore are useful indicators of herbivore biomass (Feranec et al 2011, Johnson et al 2015).…”
Section: Potential and Challenges Of Mammal Environmental Dna Workmentioning
confidence: 99%
“…This means, for example that the youngest fossil of a species never represents the true last appearance – a principle known as the Signor–Lipps effect (Signor & Lipps 1982). In addition to direct evidence, palaeoecological studies can also utilise specific proxies for the presence of mammals, in particular dung fungi (Davies 2019, Goethals & Verschuren 2019) and parasites such as oribatid mites (Chepstow‐Lusty et al 2019).…”
Section: Introductionmentioning
confidence: 99%