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Record W2165424945

COYOTE PREDATION ON THE RIO GRANDE WILD TURKEY IN THE TEXAS PANHANDLE AND SOUTHWESTERN KANSAS

2005· dissertation· en· W2165424945 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

VenueThinkTech (Texas Tech University) · 2005
Typedissertation
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersTexas Tech University
KeywordsCarnivorePredationGeographyWildlifeHabitatJuvenileAbundance (ecology)Hunting seasonEcologyForestryFisheryBiologyPopulationDemography
DOInot available

Abstract

fetched live from OpenAlex

From January 2000 to August 2004, we collected data on Rio Grande wild turkey
\n(Meleagris gallapavo intermedia) survival, cause-specific mortality, movements, habitat
\nuse, roost use, and nesting at 4 study sites (3 in the Texas Panhandle: Matador Wildlife
\nManagement Area (MWMA) near Paducah, Texas, Salt Fork of the Red River private
\nland holdings (SF) near Clarendon, Texas, and Gene Howe Wildlife Management Area
\n(GHWMA) near Canadian, Texas, and 1 site on the Cimarron National Grasslands
\n(CNG) near Elkhart, Kansas). During 2000-2002 turkey survival across the 4 sites was
\nabout 50% (Ballard et al. 2002). Coyotes were the most frequently cited predators of Rio
\nGrande wild turkeys during the first 3 years of our study, identified in 147 out of 313
\n(47%) predation events (Ballard et al. 2003).
\nWe wanted to further study the impact of coyotes on adult (= 1 year old) and
\njuvenile (6 months to 1 year old) Rio Grande wild turkeys in the Texas Panhandle and
\nSouthwestern Kansas, by examining and comparing relative abundances and food habits
\nof coyotes at our four study sites. To estimate relative abundance of carnivore species at
\nour study sites, we used scent stations as our primary method and scat surveys as a
\nsecondary method to corroborate scent stations. We examined the food habits of coyotes at our study sites through scat analysis, using scats collected from our scat surveys.
\n
\nProportions of prey species were expressed using percent of scats (POS) and percent of
\noccurrence(POO).
\nScent station visitation by coyotes was not different among sites in any season
\n(Fall 2003 ?2 = 7.5067, P = 0.0574; Spring 2003 ?2 = 1.6263, P = 0.6535 Summer 2003
\nx?2 = 4.4270, P = 0.2189 and Winter 2004 ?2 = 1.6442, P = 0.6494, Table 2.1). Raccoons
\n(n = 37) were the second-most frequent visitor, and were significantly different among
\nsites during each period (Fall 2003 ?2 = 17.2083, P = 0.0006; Spring 2003 ?2 = 8.8584, P= 0.312 Summer 2003 ?2 = 7.9598, P = 0.0468 and Winter 2004 ?2 = 8.6458, P =
\n0.0344). Raccoons were detected more frequently at the SF (?2 = 4.5, P = 0.0339) and
\nMWMA (?2 = 4.5, P = 0.0339) than the CNG site during the Spring sampling period.
\nDuring the Summer period, raccoons were detected more frequently at SF scent stations
\nthan at MWMA (?2 = 4.35, P = 0.0370). Raccoons were detected more frequently in the
\nFall period at the SF than all other sites (CNG ?2 = 10.28, P = 0.0013; MWMA ?2 = 7.02,
\nP = 0.0081; GHWMA ?2 = 5.11, P = 0.0237). During the Winter period, raccoons were
\ndetected more frequently at SF (?2 = 5.56, P = 0.0184) and GHWMA (?2 = 4.02, P =
\n0.0450) than MWMA.
\n
\nDiet composition of coyote scats (n = 374) consisted of 27 prey types, primarily
\nsmall mammal species (n = 11) and vegetation (n = 8), followed by large mammal
\nspecies (n = 3), medium mammal species (n = 2), avian species (n = 2), reptiles (n = 1),
\nand insects (n = 1). Prey occurrences were primarily small- [n = 194, 40.76 Percent of
\nOccurrence (POO)] and medium-sized (n = 73, 15.33 POO) mammals. The most
\ncommon prey occurrence across all sites and seasons was Eastern cottontail (Sylvilagus
\nfloridanus)(n = 69, 14.50 POO), identified in scats at all sites. White-footed
\n(Peromyscus leucopus), and deer mice (Peromyscus maniculatus), (n = 42, 8.82 POO),
\nand hispid cotton rat (Sigmodon hispidus, n = 28, 5.88 POO) were the most common
\nprey types in the small mammal prey category. We detected avian species (n = 13, 2.73
\nxi POO) in coyote scats at SF (n = 6), GHWMA (n = 2), and CNG (n = 4) sites. Turkey
\nwas <1% of all food items, detected only at SF (n = 2) and CNG (n = 1).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.844

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 science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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