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Record W617818975

Effects of Climate Change on the Distribution of White-footed mouse (Peromyscus leucopus), an Ecologically and Epidemiologically Important Species

2010· article· en· W617818975 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDeep Blue (University of Michigan) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsPeromyscusWhite (mutation)BiologyEcologyDistribution (mathematics)GeographyZoology
DOInot available

Abstract

fetched live from OpenAlex

Peromyscus leucopus (White-footed mouse) is a common species found throughout the eastern United States and a key component of midwestern ecosystems. Recently, the species has been expanding its range from the Lower Peninsula of Michigan, to the Upper Peninsula, possibly due to increasing temperatures. Given the shifting environmental conditions, understanding current environmental determinants of current P. leucopus distribution can help predict how the species will respond to global climate change. Such insight in turn, is both important for understanding how N. American species communities are likely to be influenced by ongoing climate change and also for applied local conservation efforts. Data on the presence/absence of P. leucopus and environmental variables including elevation, land cover, and climate, such as temperature, and precipitation, were used to predict habitat suitability and current distribution in Michigan. We assessed the fit of a model that uses maximum entropy approach (MaxEnt) to relate presence to environmental variables by using a cross-validation process and the receiver operating characteristic. Response curves were used to illustrate the relationship between each of the environmental variables and the probability of presence of P. leucopus. And a jackknife test was used to identify those environmental layers that were most important in predicting White-footed mice distribution. Future temperature and precipitation layers were used to predict the possible future distribution of White-footed mice in Michigan and northward. Our analyses indicated that the final model provided a reasonably good fit to the current distribution of the species. Average minimum temperature of April was the environmental layer that contributed most to predicting the current distribution of White-footed mice, whereas, February precipitation reduced the gain of the model most when omitted from the analysis. April average minimum temperature and April precipitation were both positively related to the probability of presence of P. leucopus. The importance of temperature and precipitation suggests that the distribution of this ecologically important species is going to change under future climatic regimes. Indeed fitting the present model to future conditions indicates that the species will expand dramatically northward in the next 50-70 years with many Canadian areas north of Michigan becoming suitable habitat for P. leucopus by 2050.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.998

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.197
Teacher spread0.181 · 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