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Record W2281978758 · doi:10.14288/1.0090260

Effects of fine-scale and landscape-level habitat features on a sagebrush breeding birds of the southern Okanagan and Similkameen Valleys, British Columbia

2009· article· en· W2281978758 on OpenAlexaboutno aff
Susan Paczek

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHabitatScale (ratio)EcologyForestryBiologyCartography

Abstract

fetched live from OpenAlex

I determined habitat associations for five species of songbirds breeding in sagebrush of the southern Okanagan and Similkameen Valleys, British Columbia. I examined the relative importance of scale for the presence and relative abundance of these species, through the measurement of vegetation floristics and structure at a local level (<100 m), and habitat context at three landscape scales (500 m, 1 km and 2 km). Vegetation and bird survey data were collected at 245 point count stations in 1998. Local-level habitat variables were derived from field surveys, while landscape-level variation was classified from a single Landsat Thematic Mapper ( TM ) image from 1996. Within sagebrush habitat the Landsat TM image was also classified at a fine-scale to determine if local-level habitat variation could be mapped by satellite data. Accuracy of the classification was assessed in 1999 by ground-truthing. Overall accuracy was 85%, and 78% for the sagebrush 'subtypes'. Local-level models from Landsat TM classified sagebrush habitat subtypes agreed with habitat associations identified from vegetation survey data, indicating that satellite data may be used as a surrogate for field data, although these associations were relatively weak. Performance of local, landscape, and local + landscape-level models was assessed from ranked Akaike's Information Criteria (AIC) scores. For all songbird species, logistic regression models showed the strongest habitat associations at a local level. Floristic variables were often more important than vegetation structure variables. Brewer's Sparrow was associated with large tufted perennials: parsnip-flowered buckwheat (Eriogonum heracleoides) and lupine (Lupinus sericeus or sulphureus). Lark Sparrow was positively associated with sand dropseed grass (Sporobolus cryptandrus), Vesper Sparrow (Pooecetes gramineus) was positively associated with lupines, and Western Meadowlark was positively associated with needle-and-thread grass (Stipa comatd). The addition of landscape-level variables usually improved the predictive ability of survey-derived local habitat association models. Habitat associations varied markedly for each species, and songbird relative abundance responded differently to the scale of measurements. Herb layer species identified as important in habitat associations were in turn correlated with rangeland management practices. Management recommendations are presented to direct conservation efforts in this highly threatened area.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.920

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.148
Teacher spread0.144 · 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

Citations9
Published2009
Admission routes1
Has abstractyes

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