4.3 Article

A Population Model to Simulate Northern Bobwhite Population Dynamics in Southern Texas

Journal

JOURNAL OF WILDLIFE MANAGEMENT
Volume 75, Issue 2, Pages 319-332

Publisher

WILEY
DOI: 10.1002/jwmg.52

Keywords

Colinus virginianus; model; northern bobwhite; population; simulation; south Texas; stochastic

Funding

  1. Caesar Kleberg Wildlife Research Institute
  2. Texas AM University
  3. Texas State Council, South Texas, Houston, East Texas, and Alamo chapters of Quail Unlimited
  4. George and Mary Josephine Hamman Foundation
  5. Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation
  6. Amy Shelton McNutt Charitable Trust
  7. Amy Shelton McNutt Memorial Fund
  8. Bob and Vivian Smith Foundation
  9. William A. and Madeline Welder Smith Foundation

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Models are important tools that can help managers and researchers understand the population dynamics of a species and how different habitat or population management scenarios impact that species. We used radio-telemetry data from northern bobwhites (Colinus virginianus) in southern Texas from 2000 to 2005 to develop a stochastic simulation model for bobwhite populations. Our model is based on difference equations, with stochastic variables drawn from normal and Weibull distributions. We simulated bobwhite populations to 100 yr and evaluated our model by comparing results with independent estimates of 4 population parameters (spring and fall density, finite rate of increase in the fall population [lambda], and winter juv:ad age ratios). Using a quasi-extinction criterion of <= 40 birds (density <= 0.05 birds/ha), probability of persistence to 100 yr was 88.3% (106 of 120 simulations) for the spring population and 96.7% (116 of 120 simulations) for the fall population. Using a less restrictive quasi-extinction criteria (<= 14 birds), probability of persistence was 93.3% (112 of 120 simulations) for the spring population and 98.3% (118 of 120 simulations) for the fall population. Simulated population parameters were similar to independent estimates for 4 of 4 population parameters. Winter age ratios differed between our model ((x) over bar = 4.98 juv:ad, n = 120, SE = 0.32) and empirical age ratios from harvested bobwhites on our study area ((x) over bar = 2.85 juv:ad, n = 25, SE = 0.24). However, when we corrected harvest age ratios for bias in juvenile harvest ((x) over bar = 3.85 juv:ad, n = 25, SE = 0.32) simulated and empirical estimates were similar. Our model appears to be a reliable predictor of bobwhite populations in the southern Texas. Our simulation results indicate that bobwhite hunters and managers can expect excellent bobwhite hunting (fall populations >= 2.2 birds per ha) in about one of 10 yr. (C) 2011 The Wildlife Society.

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