Phenology-specific space use by Rio Grande wild turkeys

JOURNAL OF WILDLIFE MANAGEMENT(2023)

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摘要
Conservation of wildlife populations necessitates identifying patterns in space use because fitness requirements influence resource selection; however, details on how phenology affects space use are often only cursorily addressed during development of space- and resource-use estimates. Moreover, space-use assessments often aggregate distinct, phenology-specific behaviors into generalized realizations of biological processes, such as reproduction. Therefore, to improve the relevance and accuracy of biological inferences for wild turkey (Meleagris gallopavo) space use at the population level, we defined 12 distinct phenology-specific periods to compare and contrast variations in space-use estimates. We calculated 1,568 individual space-use estimates using dynamic Brownian Bridge movement models for Rio Grande wild turkeys (M. g. intermedia; n = 255 females) across Texas, USA, during 2012-2018. Females in each pre-laying state used larger areas than during all other phenological states, suggestive of exploratory movements related to reproductive activities and resource acquisition. Incubation core areas were consistently <1.5 ha and incubation range sizes ranged from 10 ha to 48 ha. Core area and range sizes during the brooding period doubled from 15 days after hatch (3.1 ha and 42 ha) to 30 days after hatch (6.5 ha and 89 ha). Post-breeding and wintering period ranges were >30% smaller than reproductive period ranges. Mean daily distance traveled was similar across phenological states except during incubation and brooding periods. Our results indicate that examining wild turkey space use at identifiable, phenology-specific temporal scales will help mitigate against biases in estimates of resource selection based on arbitrary phenology definitions that aggregate data across multiple, distinct, phenological states.
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关键词
Meleagris gallopavo intermedia, movement ecology, reproductive phenology, Rio Grande wild turkey, Texas
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