Together with the Pennsylvania Game Commission, we developed an integrated population model (IPM) to estimate harvest rate, survival probability, and abundance for turkey in three wildlife management units in Pennsylvania that are managed for fall turkey hunting and three WMU groups managed in during the spring season. Overall, we found that, across all WMUs we see an increase in turkey abundance over time. Male juvenile and adult abundance was consistently greater than both female adult and juveniles per sq. mile of their respective WMU.
WMU groups were established too… the groups consisted of…
For adult females, density per sq. mile of turkeys increased from 0.8 to 1.5 in WMU 3D, 2.9 - 0.1 in 4D, and 22 - 36 in 2D. For adult males, 6.8 - 20.4 in group 2, 1.1 - 2.1 in group 6, 1.8 - 4.2 in group 7.
Previous versions of the IPM, which were conducted in a spreadsheet model, assumed male juvenile harvest rates and female adult harvest rates were the same. The issue here is that this can overestimate female survival. In this model, we found that harvest rates for females ranged between 0.1 - 0.4, and the known-fate model we implemented found that survival for adult and juvenile females averaged about 0.6 in 2D, 0.56 in 3D, and 0.78 in 4D, showing that survival is lower than previously estimated.
The eastern wild turkey (hereafter, turkey) are a widespread and abundant game species that inhabit various landscapes in eastern North America. Turkeys experience annual fluctuations in reproduction and survival because of their fast-paced life history. Habitat quality, weather conditions, hunting pressure, disease, and predation collectively shape the demographic processes of wild turkeys Mcghee et al. (2008).
Despite the extensive research conducted on turkeys over the past 50 years and the subsequent large body of literature, there are still knowledge gaps regarding demographic rates and life history strategies for this species. A review conducted by suggests that our understanding of turkey demographics and the impact of factors such as habitat quality and quantity, predator abundance, and changes in hunting pressure on vital rates is incomplete. Research has found that survival and reproduction of adult, second-year females are among the most influential vital rates influencing wild turkey population growth, and the degree of control managers have on these vital rates depends on the abiotic or biotic conditions that limit them, making them system and context-specific .
In Pennsylvania, turkeys are an important game species, and the state consistently leads the country in both the spring and fall turkey harvests, as well as the number of turkey hunters . Pennsylvania is also one of the few states to offer a spring male season and a fall either-sex season. Fall hunting seasons for either sex of turkeys result in predominantly female and young-of-the-year being harvested. Females are more susceptible to harvest because brood flocks persist into the fall, and a common hunting strategy of breaking up flocks and recalling individuals is the most successful. Therefore, the fall harvest has the potential to effect population abundance because it can be an additive source of mortality for females .
To help inform management on wild turkey populations in Pennsylvania, we developed an age- and stage-structured Bayesian IPM to monitor population trends using data from three wildlife management units (WMUs, Figure 1). The study areas, WMU 2D, 3D, 4D, and 5C were each chosen to be representative of the diversity seen across the state of Pennsylvania.
Figure 1. Wildlife Management Units in Pennsylvania. Dark grey units indicate areas of hen telemetry efforts.
WMU 5C represents a mix of urban, suburban, and large agricultural land use. The study area has the lowest turkey population densities among the regions considered. Its average spring harvest densities from 2018 to 2020 were recorded at 0.32 birds per square mile. Additionally, the hunter density is relatively low at 2.2 hunters per square mile, and a poult-to-hen ratio of 1.9 poults per hen. Hunter success rate is 15%. This WMU is closed to Fall turkey hunting, and therefore not included in this analysis.
WMU 2D represents one of the most diverse Pennsylvania landscapes with a high interspersion of habitats suitable for wild turkeys. This area boasts one of the highest turkey population densities. The average spring harvest density from 2018 to 2020 is 1.38 birds per square mile. The hunter density is 4.7 hunters per square mile, a hunter success rate of 26%, and a poult-to-hen ratio at 2.9 poults per hen.
WMU 3D comprises vast expanses of publicly owned wooded landscapes surrounded by human development. The study area has semi-low turkey population densities and a spring harvest density of 0.50 birds per square mile from 2018 to 2020. The hunter density is 3.3 hunters per square mile, and the hunter success rate is 14%. The poult-to-hen ratio in this area is 2.4 poults per hen.
WMU 4D features large expanses of publicly owned wooded landscapes bordered by extensive agriculture. This study area exhibits a medium-level turkey population density and records an average spring harvest density of 0.68 birds per square mile from 2018 to 2020. The hunter density is 4.0 hunters per square mile, with a hunter success rate of 16% and a poult-to-hen ratio above average at 3.0 poults per hen.
The population model framework will use multiple data sets, game take surveys to inform the harvest rate, survival, and abundance of male turkeys in our population model. For females, we relied on telemetry data to determine survival rate, prior information to determine the harvest rate, and subsequent abundance. Recruitment was calculated based on poult-to-hen ratios obtained through summer site surveys (Figure 2). Our population dynamics models consider sex and age class and operate annually. We incorporate hunting season timing for each sex and life history category (adult, juvenile) on a yearly basis. For males, the model year starts in May, while for females, it begins in November to align with their hunting season.
Figure 2. Data and population model structure for estimating survival, harvest rates, survival, and recruitment.
Harvest rates for adult males varied from 0.16 to 0.35 among all wmus, with credible intervals of 0.14 to 0.43 (Figure 3). Juvenile males had a range of 0.031 to 0.1 across all wmus, with credible intervals of 0.035 to 0.142 (Figure 3). We made the assumption that adult and juvenile female harvest rates were equal. For females, harvest rates were lower than those for males, ranging from 0.007 to 0.017 with credible intervals of 0.008 to 0.054 (Figure 3).
The survival probability for adult males ranges from 0.4 to 0.735, while for juvenile males it ranges from 0.712 to 0.914 (see Figure 4).
Using the data for females, we were able to estimate survival for each management unit. However, we were unable to estimate survival across years. For adult females, the survival rates ranged from 0.288 to 0.601, while for juveniles the rates ranged from 0.286 to 0.598 (Figure 5).
To calculate abundance, we divided the reported number of birds harvested by the estimated harvest rate for each sex and age class. Figure 7 shows the abundance over time for all combinations of sex and age class.
| Sex/Age Class | WMU | Year | Median | 2.5% CI | 97.5% CI |
|---|---|---|---|---|---|
| male adult | 2D | 2019 | 0.233 | 0.189 | 0.276 |
| 2020 | 0.241 | 0.197 | 0.286 | ||
| 2021 | 0.210 | 0.174 | 0.250 | ||
| 2022 | 0.254 | 0.209 | 0.309 | ||
| 3D | 2019 | 0.257 | 0.208 | 0.306 | |
| 2020 | 0.265 | 0.216 | 0.316 | ||
| 2021 | 0.236 | 0.195 | 0.282 | ||
| 2022 | 0.278 | 0.229 | 0.338 | ||
| 4D | 2019 | 0.248 | 0.201 | 0.292 | |
| 2020 | 0.256 | 0.209 | 0.302 | ||
| 2021 | 0.226 | 0.187 | 0.268 | ||
| 2022 | 0.268 | 0.223 | 0.324 | ||
| male juvenile | 2D | 2019 | 0.059 | 0.048 | 0.068 |
| 2020 | 0.062 | 0.052 | 0.072 | ||
| 2021 | 0.050 | 0.042 | 0.059 | ||
| 2022 | 0.068 | 0.057 | 0.083 | ||
| 3D | 2019 | 0.069 | 0.055 | 0.083 | |
| 2020 | 0.073 | 0.059 | 0.087 | ||
| 2021 | 0.060 | 0.050 | 0.071 | ||
| 2022 | 0.080 | 0.067 | 0.098 | ||
| 4D | 2019 | 0.065 | 0.052 | 0.076 | |
| 2020 | 0.068 | 0.056 | 0.080 | ||
| 2021 | 0.056 | 0.047 | 0.066 | ||
| 2022 | 0.075 | 0.063 | 0.092 | ||
| female juvenile | 2D | 2019 | 0.050 | 0.031 | 0.085 |
| 2020 | 0.011 | 0.009 | 0.014 | ||
| 2021 | 0.031 | 0.024 | 0.039 | ||
| 2022 | 0.016 | 0.013 | 0.021 | ||
| 3D | 2019 | 0.005 | 0.004 | 0.007 | |
| 2020 | 0.015 | 0.010 | 0.021 | ||
| 2021 | 0.011 | 0.007 | 0.016 | ||
| 2022 | 0.014 | 0.009 | 0.020 | ||
| 4D | 2019 | 0.017 | 0.012 | 0.024 | |
| 2020 | 0.018 | 0.013 | 0.024 | ||
| 2021 | 0.015 | 0.011 | 0.021 | ||
| 2022 | 0.025 | 0.019 | 0.033 | ||
| female adult | 2D | 2019 | 0.039 | 0.028 | 0.052 |
| 2020 | 0.022 | 0.017 | 0.029 | ||
| 2021 | 0.011 | 0.009 | 0.014 | ||
| 2022 | 0.012 | 0.009 | 0.016 | ||
| 3D | 2019 | 0.022 | 0.016 | 0.031 | |
| 2020 | 0.012 | 0.008 | 0.017 | ||
| 2021 | 0.007 | 0.004 | 0.011 | ||
| 2022 | 0.008 | 0.005 | 0.013 | ||
| 4D | 2019 | 0.072 | 0.052 | 0.097 | |
| 2020 | 0.012 | 0.008 | 0.017 | ||
| 2021 | 0.009 | 0.006 | 0.012 | ||
| 2022 | 0.010 | 0.007 | 0.014 |
| Sex/Age Class | WMU | Year | Median | 2.5% CI | 97.5% CI |
|---|---|---|---|---|---|
| male adult | 2D | 2019 | 0.436 | 0.361 | 0.485 |
| 2020 | 0.415 | 0.333 | 0.470 | ||
| 2021 | 0.487 | 0.419 | 0.536 | ||
| 2022 | 0.372 | 0.287 | 0.459 | ||
| 3D | 2019 | 0.375 | 0.303 | 0.428 | |
| 2020 | 0.355 | 0.278 | 0.412 | ||
| 2021 | 0.423 | 0.358 | 0.476 | ||
| 2022 | 0.315 | 0.239 | 0.398 | ||
| 4D | 2019 | 0.399 | 0.328 | 0.449 | |
| 2020 | 0.379 | 0.302 | 0.434 | ||
| 2021 | 0.449 | 0.386 | 0.500 | ||
| 2022 | 0.337 | 0.258 | 0.424 | ||
| male juvenile | 2D | 2019 | 0.727 | 0.580 | 0.817 |
| 2020 | 0.707 | 0.556 | 0.808 | ||
| 2021 | 0.762 | 0.620 | 0.852 | ||
| 2022 | 0.655 | 0.488 | 0.810 | ||
| 3D | 2019 | 0.675 | 0.517 | 0.774 | |
| 2020 | 0.653 | 0.494 | 0.765 | ||
| 2021 | 0.716 | 0.560 | 0.818 | ||
| 2022 | 0.599 | 0.426 | 0.768 | ||
| 4D | 2019 | 0.697 | 0.544 | 0.792 | |
| 2020 | 0.675 | 0.521 | 0.783 | ||
| 2021 | 0.734 | 0.585 | 0.833 | ||
| 2022 | 0.620 | 0.449 | 0.786 |
| Sex/Age Class | WMU | Median | 2.5% CI | 97.5% CI |
|---|---|---|---|---|
| female adult | 0.568 | 0.482 | 0.633 | 1 |
| 0.483 | 0.647 | 2 | ||
| 0.560 | 0.477 | 0.657 | 3 | |
| female juvenile | 0.563 | 0.493 | 0.622 | 1 |
| 0.569 | 0.494 | 0.643 | 2 | |
| 0.558 | 0.477 | 0.649 | 3 |
| Sex/Age Class | WMU | WMU area (m^2) | Year | Density | 2.5% CI | 97.5% CI |
|---|---|---|---|---|---|---|
| female adult | 2D | 2486.7 | 2019 | 1.5 | 1.1 | 2.1 |
| 2020 | 2.2 | 1.8 | 2.7 | |||
| 2021 | 4.5 | 3.7 | 5.3 | |||
| 2022 | 3.7 | 2.8 | 4.6 | |||
| 2023 | 4.2 | 3.0 | 5.5 | |||
| 3D | 2102.6 | 2019 | 0.3 | 0.2 | 0.5 | |
| 2020 | 1.3 | 1.0 | 1.7 | |||
| 2021 | 1.4 | 1.1 | 1.7 | |||
| 2022 | 1.4 | 1.1 | 1.8 | |||
| 2023 | 1.4 | 1.0 | 1.9 | |||
| 4D | 2742.9 | 2019 | 0.4 | 0.3 | 0.5 | |
| 2020 | 1.6 | 1.3 | 2.0 | |||
| 2021 | 1.8 | 1.4 | 2.2 | |||
| 2022 | 1.9 | 1.4 | 2.5 | |||
| 2023 | 1.9 | 1.3 | 2.8 | |||
| female juvenile | 2D | 2486.7 | 2019 | 2.3 | 1.4 | 3.7 |
| 2020 | 5.8 | 5.0 | 7.0 | |||
| 2021 | 2.1 | 1.8 | 2.6 | |||
| 2022 | 3.7 | 3.0 | 4.4 | |||
| 2023 | 3.9 | 2.9 | 4.9 | |||
| 3D | 2102.6 | 2019 | 2.0 | 1.5 | 2.7 | |
| 2020 | 1.1 | 0.9 | 1.4 | |||
| 2021 | 1.1 | 1.0 | 1.4 | |||
| 2022 | 1.0 | 0.8 | 1.3 | |||
| 2023 | 1.3 | 1.0 | 1.7 | |||
| 4D | 2742.9 | 2019 | 2.5 | 1.8 | 3.4 | |
| 2020 | 1.6 | 1.3 | 2.0 | |||
| 2021 | 1.6 | 1.4 | 1.9 | |||
| 2022 | 1.6 | 1.2 | 1.9 | |||
| 2023 | 2.1 | 1.5 | 2.7 | |||
| male adult | 2D | 2486.7 | 2019 | 4.9 | 4.1 | 6.0 |
| 2020 | 4.3 | 3.6 | 5.3 | |||
| 2021 | 5.9 | 4.9 | 7.1 | |||
| 2022 | 4.5 | 3.7 | 5.5 | |||
| 2023 | 4.0 | 3.0 | 5.6 | |||
| 3D | 2102.6 | 2019 | 1.6 | 1.3 | 2.0 | |
| 2020 | 1.2 | 1.0 | 1.5 | |||
| 2021 | 1.1 | 0.9 | 1.4 | |||
| 2022 | 1.3 | 1.0 | 1.6 | |||
| 2023 | 1.0 | 0.7 | 1.4 | |||
| 4D | 2742.9 | 2019 | 2.3 | 1.9 | 2.8 | |
| 2020 | 1.8 | 1.6 | 2.3 | |||
| 2021 | 1.7 | 1.5 | 2.1 | |||
| 2022 | 2.0 | 1.6 | 2.4 | |||
| 2023 | 1.6 | 1.2 | 2.3 | |||
| male juvenile | 2D | 2486.7 | 2019 | 3.2 | 2.7 | 3.9 |
| 2020 | 5.8 | 5.0 | 7.0 | |||
| 2021 | 2.1 | 1.8 | 2.6 | |||
| 2022 | 3.7 | 3.0 | 4.4 | |||
| 2023 | 3.9 | 2.9 | 4.9 | |||
| 3D | 2102.6 | 2019 | 0.9 | 0.8 | 1.2 | |
| 2020 | 1.1 | 0.9 | 1.4 | |||
| 2021 | 1.1 | 1.0 | 1.4 | |||
| 2022 | 1.0 | 0.8 | 1.3 | |||
| 2023 | 1.3 | 1.0 | 1.7 | |||
| 4D | 2742.9 | 2019 | 1.4 | 1.1 | 1.7 | |
| 2020 | 1.6 | 1.4 | 2.0 | |||
| 2021 | 1.6 | 1.4 | 1.9 | |||
| 2022 | 1.5 | 1.2 | 1.9 | |||
| 2023 | 2.1 | 1.5 | 2.7 |