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Record W4415775480 · doi:10.1101/2025.07.14.664661

Swidden pollen spectra are unique, having no modern analogues

2025· preprint· en· W4415775480 on OpenAlexaff
Ekaterina Ershova, Elena V. Ponomarenko, Valerii Pimenov

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsUniversity of Ottawa
FundersAmerican Association of University Women
KeywordsPollenTemperate climatePalynologyRuderal speciesVegetation (pathology)Temperate forestAtta

Abstract

fetched live from OpenAlex

Summary Slash-and-burn cultivation (SABC), a widespread premodern agricultural practice, shaped vegetation across the temperate zone of Eurasia for millennia, yet the SABC-associated plant communities and their modern analogues remain poorly understood. We compared 74 fossil pollen spectra from radiocarbon-dated swidden horizons with 223 modern surface soil spectra using non-metric multidimensional scaling and cluster analysis. The results show that slash-and-burn cultivation creates a unique palynological assemblage in soil, distinguishable from forests, meadows, fallows, and ruderal habitats. This signature was most pronounced in sites from broad-leaved coniferous forest, where cryptogam diversity was highest. Here, we report that pollen spectra from buried swidden soils across the Eastern European forest zone consistently form a distinct and cohesive cluster, lacking modern analogues. These spectra are characterized by high proportions of Betula, Tilia, Epilobium angustifolium , cereal pollen, and a diverse assemblage of spores ( Marchantia, Lycopodium, Pteridium ), reflecting a mosaic of post-cultivation successional stages. Insect activity, particularly pollen-storing burrows of ground-nesting bees, may enhance the swidden signal through selective accumulation of fireweed entomophilous pollen. Our results provide SABC reference pollen spectra for temperate mixed and deciduous forest zones and can be used as a tool for reconstructing the extinct suite of plant communities associated with swidden cultivation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.190
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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