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Record W2184169669

63 Crossing park boundaries in the study of ancient ecosystems

2001· article· en· W2184169669 on OpenAlexaboutno aff
Anthony R. Fiorillo, Vincent Santucci

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsNational parkGeographyHabitatEcologyBiodiversityEnvironmental resource managementArchaeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Introduction National park units have at times been referred to as “ecological islands.” More recently, such units have begun to be viewed as ecological mosaics rather than separate island units as managers of publicly owned, federally managed lands have increasingly gained an appreciation for park boundaries and their relationships to particular biological issues. It is often apparent to these managers that individual park boundaries may not fully encompass appropriate habitat areas for managing biological resources. As a result, partnerships have been sought within and between land management agencies to best accommodate the needs of these biological resources. In order to understand the natural world of today, one must examine the past. Studies such as those discussed below show that fossils are more than oddities of the rock record; they represent the record of life that has evolved on this planet. They are the means to test the scale and robustness of ecological principles observed in the modern world. Given the human proclivity for habitat manipulation, understanding ecological principles in geologic time can only be insightful. Linking national park units is ideal for providing insights into ancient ecosystems because such units contain some of the most productive fossil-bearing rocks in North America. Traditionally, geologic—and by extension paleontologic—resources have been treated as isolated phenomena. For example, Fossil Butte National Monument contains a remarkably rich sequence of rocks containing some of the most spectacular fossil fish from the Eocene (58 to 36 million years ago) found anywhere in the world. However, this resource is often viewed as unique without regard to how the large fossil lake containing these fish relates to the contemporary environment of its time. A notable exception is the Morrison Formation ecosystem project, a multi-year ancient ecosystem study sponsored by the National Park Service (NPS), that focused on the Late Jurassic Morrison Formation ecosystem. We briefly summarize basic results from one component of this study focused on the dominant group of vertebrates from the terrestrial ecosystem, the sauropod dinosaurs. This summary of data on sauropods illustrates the advantages of examining fossil resources in context beyond individual park boundaries. Lastly, we suggest an even larger-scale project that would minimally tie together NPS units from near the Arctic Circle (Denali National Park and Preserve and Yukon-Charley Rivers National Preserve) all the way to the Rio Grande Valley (Big Bend National Park). This suggested project is an extension of a crossing boundaries approach to studying ancient ecosystems and illustrates the nearly limitless nature of such an approach.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.009
Science and technology studies0.0050.013
Scholarly communication0.0060.007
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.039
GPT teacher head0.328
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2001
Admission routes1
Has abstractyes

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