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Record W4388562501 · doi:10.1126/sciadv.adi9135

Substantial light woodland and open vegetation characterized the temperate forest biome before <i>Homo sapiens</i>

2023· article· en· W4388562501 on OpenAlexaff
Elena A. Pearce, Florence Mazier, Signe Normand, Ralph Fyfe, Valérie Andrieu‐Ponel, C.C. Bakels, Zofia Balwierz, Krzysztof Bińka, Steve Boreham, О. К. Борисова, Anna Broström, Jacques‐Louis de Beaulieu, Cunhai Gao, Penélope González‐Sampériz, Wojciech Granoszewski, Anna Hrynowiecka, Piotr Kołaczek, Petr Kuneš, Donatella Magri, Małgorzata Malkiewicz, Tim Mighall, Alice M. Milner, Per Möller, Małgorzata Nita, Bożena Noryśkiewicz, Irena Agnieszka Pidek, Maurice Reille, Ann‐Marie Robertsson, J. Sakari Salonen, Patrick Schläfli, Jeroen Schokker, Paolo Scussolini, Vaida Šeirienė, Jaqueline Strahl, Brigitte Urban, Hanna Winter, Jens‐Christian Svenning

Bibliographic record

VenueScience Advances · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsGeological Survey of Canada
FundersVillum Fonden
KeywordsBiomeWoodlandVegetation (pathology)Temperate rainforestEcologyGeographyTemperate forestBiodiversityHomo sapiensHerbivoreTemperate climateAgroforestryEnvironmental scienceEcosystemBiology

Abstract

fetched live from OpenAlex

The extent of vegetation openness in past European landscapes is widely debated. In particular, the temperate forest biome has traditionally been defined as dense, closed-canopy forest; however, some argue that large herbivores maintained greater openness or even wood-pasture conditions. Here, we address this question for the Last Interglacial period (129,000–116,000 years ago), before Homo sapiens –linked megafauna declines and anthropogenic landscape transformation. We applied the vegetation reconstruction method REVEALS to 96 Last Interglacial pollen records. We found that light woodland and open vegetation represented, on average, more than 50% cover during this period. The degree of openness was highly variable and only partially linked to climatic factors, indicating the importance of natural disturbance regimes. Our results show that the temperate forest biome was historically heterogeneous rather than uniformly dense, which is consistent with the dependency of much of contemporary European biodiversity on open vegetation and light woodland.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.281
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations67
Published2023
Admission routes1
Has abstractyes

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