Relationships among white-tailed deer density, harvest, and landscape metrics in TN, USA

Adams, Heidi L.; Kissell, Robert E.; Ratajczak, Daryl; Warr, Edward L.; Applegate, Roger D.; Barrett, Lynn K.; Lavacot, Tabitha; Graves, David

doi:10.1007/s10344-019-1353-8

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…We assumed those bags to represent 33% of the deer population. While bag numbers appear to offer a relatively crude method of assessing deer populations ( 35 , 36 ), they can provide good estimates of county-level populations ( 30 ) ( Supplementary Table 2 ). A variety of Sika density estimates were produced for each county by dividing population estimates of each deer species by habitat areas derived from CORINE 2012 ( 37 ) ( Supplementary Table 3 ).…”

Section: Methodsmentioning

confidence: 99%

“…Estimates of Sika Deer ( Cervus nippon ) density for County Wicklow have risen from 7.8 animals/km 2 in 2000 to 31.4 animals/km 2 in 2018 (based on Sika Deer harvest or “bag” numbers published by the National Parks and Wildlife Service – NPWS– Supplementary Table 1 ). Although density calculations based on “bag” numbers are likely to be underestimates, as not all deer deaths (e.g., road deaths and natural causes) are reported in any given year, the technique has proved to be a good predictor of deer populations ( 30 ). The most recent estimate (31.4 animals/km 2 in 2018) for Sika in County Wicklow provides a regional density far greater than that of both Red Deer in an Austrian bTB hotspot ( 23 ) and that of state-wide estimates for White-tailed Deer in Michigan ( 26 ).…”

Section: Introductionmentioning

confidence: 99%

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Bovine Tuberculosis: The Emergence of a New Wildlife Maintenance Host in Ireland

Kelly

Mullen²,

Good

2021

Front. Vet. Sci.

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Despite advances in herd management, tuberculosis (TB) continues to affect ~0. 5% of Ireland's national cattle herd annually. It is clear that any “final” eradication of TB in cattle will need to address all TB maintenance hosts in the same environment. In Ireland and the UK, European Badgers (Meles meles) are a known TB maintenance host, while deer are recognised as spillover hosts. However, deer have been identified as maintenance hosts in other countries and Sika deer, specifically, have been identified with TB in Ireland. We examined the power of cattle, badger and Sika deer densities (at the county level) to predict cattle TB-breakdowns in Ireland, at both the herd and the individual level, using data collected between 2000 and 2018. Our hypothesis was that any positive correlations between deer density and cattle TB-breakdowns would implicate deer as TB maintenance hosts. Using linear multiple regressions, we found positive correlations between deer density and cattle TB-breakdowns at both the herd and individual levels. Since Sika deer in County Wicklow are known to have TB, we ran further regressions against subsets of data which excluded individual Irish counties. Analyses excluding Wicklow data showed much weaker correlations between Sika deer density and cattle TB-breakdowns at both the herd and individual levels, suggesting that these correlations are strongest in County Wicklow. A similar effect for badger density was seen in County Leitrim. While locally high densities of Sika deer persist in Irish counties, we believe they should be considered an integral part of any TB-control programme for those areas.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bovine Tuberculosis: The Emergence of a New Wildlife Maintenance Host in Ireland

Kelly

Mullen²,

Good

2021

Front. Vet. Sci.

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An Updated Framework for Modeling White‐Tailed Deer (Odocoileus virginianus) Habitat Quality in Illinois, USA

Mori,

Brown,

Skinner

et al. 2024

Ecology and Evolution

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White‐tailed deer (Odocoileus virginianus) are a cervid species found mostly in the Americas. Managing white‐tailed deer requires understanding their relationship with the environment, which was characterized by Roseberry and Woolf (Wildlife Society Bulletin 1, 1998, 252) for all counties in Illinois, USA, who incorporated habitat quantity and quality in a deer habitat suitability index. However, this index was based on satellite imagery from 1996 and did not explore the smaller spatial scales used by deer. Our study addressed these gaps by developing a deer land cover utility (LCU) score for each TRS (township, range, and section), township, and county in Illinois based on the methodology outlined in Roseberry and Woolf (Wildlife Society Bulletin 1, 1998, 252) but using data from the National Land Cover Database (2001–2021). These deer LCU scores were validated against minimum deer population data using Bayesian regression with additional covariates relevant to hunting and deer density. These models performed well with Bayesian R2 values of 0.501 (TRS), 0.5 (township), and 0.969 (county). The regression coefficients for the deer LCU scores were statistically significant (95% credibility interval not containing 0) and positive at the TRS, township, and county levels, reflecting the expected relationship between minimum deer density and deer LCU. Predictions made by these regression models on new data were accurate, with the median absolute difference between the true and predicted values being 0.398 deer/km2 for TRS', 0.085 deer/km2 for townships, and 0.066 deer/km2 for counties. This deer LCU could be used in other studies about deer in Illinois or studies in which deer are a relevant factor such as investigations about deer disease or tick distribution. This modeling approach could also be adapted to different wild species, locations, and/or time periods for which land cover data is available.

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Using space to event modeling to estimate density of multiple species in northeastern Washington

McMurry

Moeller

Goerz

et al. 2022

Wildlife Society Bulletin

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Concurrent monitoring of multiple species with a single study design can be an efficient use of time and financial resources. Using camera traps to estimate density or abundance of multiple species is only possible if the study design captures photographs of all target species in an unbiased manner. We used camera trap data originally collected for a different purpose and applied the Space to Event (STE) model to estimate density of multiple species simultaneously. We had sufficient data to estimate densities of moose (Alces alces), black bear (Ursus americanus), mountain lions (Puma concolor), wolves (Canis lupus), and deer (white‐tailed deer [Odocoileus virginianus] and mule deer [O. hemionus] combined). Our estimated densities were lower than those derived from other methods in the study area, possibly due to the lack of a sampling design specific to STE. However, our estimates were generally comparable to published density estimates from across the species' range. Our approach allowed us to estimate abundance and density for each species with the same effort required to estimate abundance of a single species. Our results suggest that with an appropriate study design, STE could be an effective, efficient, low cost and non‐invasive method for estimating densities of multiple unmarked species using a single camera array.

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Relationships among white-tailed deer density, harvest, and landscape metrics in TN, USA

Cited by 7 publications

References 33 publications

Bovine Tuberculosis: The Emergence of a New Wildlife Maintenance Host in Ireland

Bovine Tuberculosis: The Emergence of a New Wildlife Maintenance Host in Ireland

An Updated Framework for Modeling White‐Tailed Deer (Odocoileus virginianus) Habitat Quality in Illinois, USA

Using space to event modeling to estimate density of multiple species in northeastern Washington

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