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Johnson JT, Chandler RB, Conner LM, Cherry MJ, Killmaster CH, Johannsen KL, Miller KV. Assessing the implications of sexual segregation when surveying white‐tailed deer
Odocoileus virginianus. WILDLIFE BIOLOGY 2022. [DOI: 10.1002/wlb3.01077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- James T. Johnson
- D.B. Warnell School of Forestry and Natural Resources, The Univ. of Georgia Athens GA USA
| | - Richard B. Chandler
- D.B. Warnell School of Forestry and Natural Resources, The Univ. of Georgia Athens GA USA
| | | | - Michael J. Cherry
- Caesar Kleberg Wildlife Research Inst., Texas A&M Univ. Kingsville TX USA
| | | | | | - Karl V. Miller
- D.B. Warnell School of Forestry and Natural Resources, The Univ. of Georgia Athens GA USA
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Margenau LLS, Cherry MJ, Miller KV, Garrison EP, Chandler RB. Monitoring partially marked populations using camera and telemetry data. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2553. [PMID: 35112750 DOI: 10.1002/eap.2553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 10/26/2021] [Indexed: 06/14/2023]
Abstract
Long-term monitoring is an important component of effective wildlife conservation. However, many methods for estimating density are too costly or difficult to implement over large spatial and temporal extents. Recently developed spatial mark-resight (SMR) models are increasingly being applied as a cost-effective method to estimate density when data include detections of both marked and unmarked individuals. We developed a generalized SMR model that can accommodate long-term camera data and auxiliary telemetry data for improved spatiotemporal inference in monitoring efforts. The model can be applied in two stages, with detection parameters estimated in the first stage using telemetry data and camera detections of instrumented individuals. Density is estimated in the second stage using camera data, with all individuals treated as unmarked. Serial correlation in detection and density parameters is accounted for using time-series models. The two-stage approach reduces computational demands and facilitates the application to large data sets from long-term monitoring initiatives. We applied the model to 3 years (2015-2017) of white-tailed deer (Odocoileus virginianus) data collected in three study areas of the Big Cypress Basin, Florida, USA. In total, 59 females marked with ear tags and fitted with GPS-telemetry collars were detected along with unmarked females on 180 remote cameras. Most of the temporal variation in density was driven by seasonal fluctuations, but one study area exhibited a slight population decline during the monitoring period. Modern technologies such as camera traps provide novel possibilities for long-term monitoring, but the resulting massive data sets, which are subject to unique sources of observation error, have posed analytical challenges. The two-stage spatial mark-resight framework provides a solution with lower computational demands than joint SMR models, allowing for easier implementation in practice. In addition, after detection parameters have been estimated, the model may be used to estimate density even if no synchronous auxiliary information on marked individuals is available, which is often the case in long-term monitoring.
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Affiliation(s)
- Lydia L S Margenau
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
| | - Michael J Cherry
- Caesar Kleberg Wildlife Research Institute, Texas A&M University-Kingsville, Kingsville, Texas, USA
| | - Karl V Miller
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
| | - Elina P Garrison
- Florida Fish and Wildlife Conservation Commission, Gainesville, Florida, USA
| | - Richard B Chandler
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia, USA
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Vukovich M, Garabedian JE, Zarnoch SJ, Kilgo JC. Do Remote Camera Arrangements and Image Capture Settings Improve Individual Identification of Golden Eagles? WILDLIFE SOC B 2021. [DOI: 10.1002/wsb.1180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Mark Vukovich
- USDA Forest Service Southern Research Station P.O Box 700 New Ellenton SC 29809 USA
| | - James E. Garabedian
- USDA Forest Service Southern Research Station P.O Box 700 New Ellenton SC 29809 USA
| | | | - John C. Kilgo
- USDA Forest Service Southern Research Station P.O Box 700 New Ellenton SC 29809 USA
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Haus JM, Eyler TB, Bowman JL. A Spatially and Temporally Concurrent Comparison of Popular Abundance Estimators for White-tailed Deer. Northeast Nat (Steuben) 2019. [DOI: 10.1656/045.026.0207] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Jacob M. Haus
- Department of Entomology and Wildlife Ecology, University of Delaware, 531 South College Avenue, Newark, DE 19716
| | - T. Brian Eyler
- Maryland Department of Natural Resources, 14038 Blairs Valley Road, Clear Spring, MD 21722
| | - Jacob L. Bowman
- Department of Entomology and Wildlife Ecology, University of Delaware, 531 South College Avenue, Newark, DE 19716
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Peres PHF, Polverini MS, Oliveira ML, Duarte JMB. Accessing camera trap survey feasibility for estimating Blastocerus dichotomus (Cetartiodactyla, Cervidae) demographic parameters. IHERINGIA. SERIE ZOOLOGIA 2017. [DOI: 10.1590/1678-4766e2017041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
ABSTRACT Demographic information is the basis for evaluating and planning conservation strategies for an endangered species. However, in numerous situations there are methodological or financial limitations to obtain such information for some species. The marsh deer, an endangered Neotropical cervid, is a challenging species to obtain biological information. To help achieve such aims, the study evaluated the applicability of camera traps to obtain demographic information on the marsh deer compared to the traditional aerial census method. Fourteen camera traps were installed for three months on the Capão da Cruz floodplain, in state of São Paulo, and ten helicopter flyovers were made along a 13-kilometer trajectory to detect resident marsh deer. In addition to counting deer, the study aimed to identify the sex, age group and individual identification of the antlered males recorded. Population estimates were performed using the capture-mark-recapture method with the camera trap data and by the distance sampling method for aerial observation data. The costs and field efforts expended for both methodologies were calculated and compared. Twenty independent photographic records and 42 sightings were obtained and generated estimates of 0.98 and 1.06 ind/km², respectively. In contrast to the aerial census, camera traps allowed us to individually identify branch-antlered males, determine the sex ratio and detect fawns in the population. The cost of camera traps was 78% lower but required 20 times more field effort. Our analysis indicates that camera traps present a superior cost-benefit ratio compared to aerial surveys, since they are more informative, cheaper and offer simpler logistics. Their application extends the possibilities of studying a greater number of populations in a long-term monitoring.
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Keever AC, McGowan CP, Ditchkoff SS, Acker PK, Grand JB, Newbolt CH. Efficacy of N-mixture models for surveying and monitoring white-tailed deer populations. MAMMAL RES 2017. [DOI: 10.1007/s13364-017-0319-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Chitwood MC, Lashley MA, Kilgo JC, Cherry MJ, Conner LM, Vukovich M, Ray HS, Ruth C, Warren RJ, DePerno CS, Moorman CE. Are camera surveys useful for assessing recruitment in white-tailed deer? WILDLIFE BIOLOGY 2017. [DOI: 10.2981/wlb.00178] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- M. Colter Chitwood
- M. C. Chitwood and M. A. Lashley, Fisheries, Wildlife and Conservation Biology Program, Dept of Forestry and Environmental Resources, North Carolina State Univ., Raleigh, NC 27695, USA. Present address for MCC: Fisheries and Wildlife Sciences Dept, Univ. of Missouri, Columbia, MO, USA. Present address for MAL: Dept of Wildlife, Fisheries and Aquaculture, Mississippi State Univ., Mississippi State, MS, USA
| | - Marcus A. Lashley
- M. C. Chitwood and M. A. Lashley, Fisheries, Wildlife and Conservation Biology Program, Dept of Forestry and Environmental Resources, North Carolina State Univ., Raleigh, NC 27695, USA. Present address for MCC: Fisheries and Wildlife Sciences Dept, Univ. of Missouri, Columbia, MO, USA. Present address for MAL: Dept of Wildlife, Fisheries and Aquaculture, Mississippi State Univ., Mississippi State, MS, USA
| | - John C. Kilgo
- J. C. Kilgo and M. Vukovich, USDA Forest Service, Southern Research Station, New Ellenton, SC, USA
| | - Michael J. Cherry
- M. J. Cherry and L. M. Conner, Joseph W. Jones Ecological Research Center, Newton, GA, USA
| | - L. Mike Conner
- M. J. Cherry and L. M. Conner, Joseph W. Jones Ecological Research Center, Newton, GA, USA
| | - Mark Vukovich
- J. C. Kilgo and M. Vukovich, USDA Forest Service, Southern Research Station, New Ellenton, SC, USA
| | - H. Scott Ray
- H. S. Ray, USDA Forest Service, Francis Marion and Sumter National Forest, Columbia, SC, USA
| | - Charles Ruth
- C. Ruth, South Carolina Dept of Natural Resources, Columbia, SC, USA
| | - Robert J. Warren
- R. J. Warren, Warnell School of Forestry and Natural Resources, Univ. of Georgia, Athens, GA, USA
| | - Christopher S. DePerno
- C. S. DePerno and C. E. Moorman, Fisheries, Wildlife and Conservation Biology Program, Dept of Forestry and Environmental Resources, North Carolina State Univ., Raleigh, NC, USA
| | - Christopher E. Moorman
- C. S. DePerno and C. E. Moorman, Fisheries, Wildlife and Conservation Biology Program, Dept of Forestry and Environmental Resources, North Carolina State Univ., Raleigh, NC, USA
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Gulsby WD, Killmaster CH, Bowers JW, Kelly JD, Sacks BN, Statham MJ, Miller KV. White-tailed deer fawn recruitment before and after experimental coyote removals in central Georgia. WILDLIFE SOC B 2015. [DOI: 10.1002/wsb.534] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- William D. Gulsby
- Warnell School of Forestry and Natural Resources; University of Georgia; Athens GA 30602 USA
| | - Charlie H. Killmaster
- Georgia Department of Natural Resources; Wildlife Resources Division; 2070 United States Highway 278, SE, Social Circle, GA 30025 USA
| | - John W. Bowers
- Georgia Department of Natural Resources; Wildlife Resources Division; 2070 United States Highway 278, SE, Social Circle, GA 30025 USA
| | - James D. Kelly
- New York State Department of Environmental Conservation; Division of Fish, Wildlife, and Marine Resources; 625 Broadway, 5th floor, Albany NY 12233 USA
| | - Benjamin N. Sacks
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, Department of Population Health and Reproduction; University of California; Davis One Shields Avenue/Old Davis Road, Davis, CA 95616 USA
| | - Mark J. Statham
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory; University of California, Davis; One Shields Avenue/Old Davis Road, Davis CA 95616 USA
| | - Karl V. Miller
- Warnell School of Forestry and Natural Resources; University of Georgia; Athens GA 30602 USA
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Duquette JF, Belant JL, Svoboda NJ, Beyer DE, Albright CA. Comparison of occupancy modeling and radiotelemetry to estimate ungulate population dynamics. POPUL ECOL 2014. [DOI: 10.1007/s10144-014-0432-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Can controlled bow hunts reduce overabundant white-tailed deer populations in suburban ecosystems? Ecol Modell 2013. [DOI: 10.1016/j.ecolmodel.2012.10.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Anderson CW, Nielsen CK, Hester CM, Hubbard RD, Stroud JK, Schauber EM. Comparison of indirect and direct methods of distance sampling for estimating density of white-tailed deer. WILDLIFE SOC B 2012. [DOI: 10.1002/wsb.231] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Shields AV, Larsen RT, Whiting JC. Summer watering patterns of mule deer in the Great Basin Desert, USA: implications of differential use by individuals and the sexes for management of water resources. ScientificWorldJournal 2012; 2012:846218. [PMID: 23125557 PMCID: PMC3483670 DOI: 10.1100/2012/846218] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2012] [Accepted: 09/03/2012] [Indexed: 11/30/2022] Open
Abstract
Changes in the abundance and distribution of free water can negatively influence wildlife in arid regions. Free water is considered a limiting factor for mule deer (Odocoileus hemionus) in the Great Basin Desert. Consequently, a better understanding of differential use of water by individuals and the sexes could influence the conservation and management of mule deer and water resources in their habitats. We deployed remote cameras at all known water sources (13 wildlife water developments and 4 springs) on one mountain range in western Utah, USA, during summer from 2007 to 2011 to document frequency and timing of water use, number of water sources used by males and females, and to estimate population size from individually identified mule deer. Male and female mule deer used different water sources but visited that resource at similar frequencies. Individual mule deer used few water sources and exhibited high fidelity to that resource. Wildlife water developments were frequently used by both sexes. Our results highlight the differing use of water sources by sexes and individual mule deer. This information will help guide managers when siting and reprovisioning wildlife water developments meant to benefit mule deer and will contribute to the conservation and management of this species.
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Affiliation(s)
- Andrew V Shields
- Department of Plant and Wildlife Sciences, Brigham Young University, 275 WIDB, Provo, UT 84602, USA
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