Mark-resight methodology for estimating key deer abundance assisted by citizen scientists

被引:0
|
作者
Silvy, Nova J. [1 ]
Lopez, Roel R. [2 ]
Lopez, Cristian N. [3 ]
Breen, Timothy [4 ]
Lopez, Angelica [2 ]
Montalvo, Andrea E. [2 ]
Parker, Israel D. [2 ]
Powell, Brian [4 ]
机构
[1] Texas A&M Univ, Dept Wildlife & Fisheries Sci, College Stn, TX 77843 USA
[2] Texas A&M Nat Resources Inst, 1919 Oakwell Farms Pkwy, San Antonio, TX 78218 USA
[3] Texas A&M Univ, Dept Rangeland Wildlife & Fisheries Management, College Stn, TX 77843 USA
[4] US Fish & Wildlife Serv, South Florida Ecol Serv Field Off, Vero Beach, FL 32960 USA
来源
WILDLIFE SOCIETY BULLETIN | 2022年 / 46卷 / 03期
关键词
citizen scientist; distance population estimation; Florida; Key deer; livestock dye; mark-resight population estimation; POPULATION-DENSITY; FLORIDA;
D O I
10.1002/wsb.1298
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Florida Key deer (Odocoileus virginianus clavium) are an endangered subspecies of white-tailed deer endemic to the Lower Florida Keys. The New World screwworm (Cochliomyia hominivorax) infestation in July 2016 and Hurricane Irma on 10 September 2017 both caused the Key deer population to decline. Our objective was to estimate current Key deer population abundance using traditional distance sampling and a mark-resight methodology applicable for citizen scientist participation. For mark-resight efforts, deer were marked with hand sprayers using water-based livestock dye on Big Pine (BPK) and No Name keys (NNK). Biologists conducted road surveys between 9-13 March 2020 on BPK and NNK and collected data for mark retention, mark-resight, and distance calculations concurrently. Our mark-resight estimate (n = 748) was nearly 300 deer lower than the traditional distance estimate likely because of distance sampling's sensitivity to increased deer visibility along survey routes. Compared to historic data, our mark-resight population estimate indicated increased deer abundance compared to post-Hurricane Irma estimates (n = 573), but slightly below post-screwworm outbreak estimates (n = 860). Based on mark-retention data, we recommend all resight surveys be completed within 5 days of the first mark placement for the most dependable mark detection. We recommend our mark-resight method be used in future Key deer surveys as it is simple, efficient, and can be reliably completed with the assistance of volunteers therefore allowing for more regular monitoring.
引用
收藏
页数:10
相关论文
共 36 条
  • [31] High post-fledging survival and site persistence using mark-resight methodology for Oregon Vesper Sparrows in the Willamette Valley, Oregon
    Altman, Bob
    Geier, Joel
    Rockwell, Sarah M.
    [J]. AVIAN CONSERVATION AND ECOLOGY, 2024, 19 (02)
  • [32] Estimating reproductive and juvenile survival rates when offspring ages are uncertain: A novel multievent mark-resight model with beluga whale case study
    Boor, Gina K. Himes K.
    McGuire, Tamara L.
    Warlick, Amanda J.
    Taylor, Rebecca L.
    Converse, Sarah J.
    McClung, John R.
    Stephens, Amber D.
    [J]. METHODS IN ECOLOGY AND EVOLUTION, 2023, 14 (02): : 631 - 642
  • [33] Estimating dispersal rates of Steller sea lion (Eumetopias jubatus) mother-pup pairs from a natal rookery using mark-resight data
    Kuhn, Carey E.
    Chumbley, Kathryn
    Fritz, Lowell
    Johnson, Devin
    [J]. PLOS ONE, 2017, 12 (12):
  • [34] Methodology matters when estimating deer abundance: a global systematic review and recommendations for improvements
    Forsyth, David M.
    Comte, Sebastien
    Davis, Naomi E.
    Bengsen, Andrew J.
    Cote, Steeve D.
    Hewitt, David G.
    Morellet, Nicolas
    Mysterud, Atle
    [J]. JOURNAL OF WILDLIFE MANAGEMENT, 2022, 86 (04):
  • [35] Evaluation of aerial line transect methodology for estimating red deer (Cervus elaphus) abundance in Scotland
    Trenkel, VM
    Buckland, ST
    McLean, C
    Elston, DA
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 1997, 50 (01) : 39 - 50
  • [36] Estimating Abundance of Siberian Roe Deer Using Fecal-DNA Capture-Mark-Recapture in Northeast China
    Li, Yuehui
    Li, Nana
    Chen, Long
    Li, Yueyuan
    Xiong, Zaiping
    Hu, Yuanman
    [J]. ANIMALS, 2020, 10 (07): : 1 - 14