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Estimating red deer abundance using the pellet-based distance sampling method

Research output: Contribution to journalArticle

DOI

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Estimating red deer abundance using the pellet-based distance sampling method. / Torres, R. T.; Valente, A. M.; Marques, T. A.; Fonseca, C.

In: Journal of Forest Science, Vol. 61, No. 10, 01.01.2015, p. 422-430.

Research output: Contribution to journalArticle

Harvard

Torres, RT, Valente, AM, Marques, TA & Fonseca, C 2015, 'Estimating red deer abundance using the pellet-based distance sampling method' Journal of Forest Science, vol. 61, no. 10, pp. 422-430. https://doi.org/10.17221/52/2015-JFS

APA

Torres, R. T., Valente, A. M., Marques, T. A., & Fonseca, C. (2015). Estimating red deer abundance using the pellet-based distance sampling method. Journal of Forest Science, 61(10), 422-430. https://doi.org/10.17221/52/2015-JFS

Vancouver

Torres RT, Valente AM, Marques TA, Fonseca C. Estimating red deer abundance using the pellet-based distance sampling method. Journal of Forest Science. 2015 Jan 1;61(10):422-430. https://doi.org/10.17221/52/2015-JFS

Author

Torres, R. T. ; Valente, A. M. ; Marques, T. A. ; Fonseca, C. / Estimating red deer abundance using the pellet-based distance sampling method. In: Journal of Forest Science. 2015 ; Vol. 61, No. 10. pp. 422-430.

Bibtex - Download

@article{13ec0e12b3d7406da073d8dc0b3d37c7,
title = "Estimating red deer abundance using the pellet-based distance sampling method",
abstract = "Many European agricultural landscapes have been abandoned facilitating the comeback of large ungulates. In Portugal, the increase in red deer numbers caused local conflicts with landowners reporting economic losses in forest and agricultural plantations. A great effort is needed to mitigate human-red deer conflicts through management strategies. Successful management strategies require reliable information on population trends. Here we propose an easy and readily applied method to estimate an increasing ungulate population. We estimated the red deer population density in a Mediterranean environment located in northeastern Portugal: Lombada National Hunting Area (LNHA) and Serra de Montesinho (SM), using pellet group counts coupled with distance sampling to account for pellet detectability. The estimated red deer density using a stratified detection function was 5.81 indd per 100 ha for LNHA and 1.34 indd per 100 ha for SM (95{\%} CI: 3.65-9.25 and 0.74-2.42, respectively). For the entire area, the estimated density was 3.38 deer per 100 ha (95{\%} CI: 2.18-5.24). Monitoring population trends is crucial to assess the impact of methods aimed at reducing the population size or impact and here we provided an example of a robust method that can be implemented to continuously monitor expanding populations.",
keywords = "Cervidae, Deer density, Distance sampling, Pellet group counting, Rural areas",
author = "Torres, {R. T.} and Valente, {A. M.} and Marques, {T. A.} and C. Fonseca",
year = "2015",
month = "1",
day = "1",
doi = "10.17221/52/2015-JFS",
language = "English",
volume = "61",
pages = "422--430",
journal = "Journal of Forest Science",
issn = "1212-4834",
publisher = "Institute of Agricultural and Food Information",
number = "10",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Estimating red deer abundance using the pellet-based distance sampling method

AU - Torres, R. T.

AU - Valente, A. M.

AU - Marques, T. A.

AU - Fonseca, C.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Many European agricultural landscapes have been abandoned facilitating the comeback of large ungulates. In Portugal, the increase in red deer numbers caused local conflicts with landowners reporting economic losses in forest and agricultural plantations. A great effort is needed to mitigate human-red deer conflicts through management strategies. Successful management strategies require reliable information on population trends. Here we propose an easy and readily applied method to estimate an increasing ungulate population. We estimated the red deer population density in a Mediterranean environment located in northeastern Portugal: Lombada National Hunting Area (LNHA) and Serra de Montesinho (SM), using pellet group counts coupled with distance sampling to account for pellet detectability. The estimated red deer density using a stratified detection function was 5.81 indd per 100 ha for LNHA and 1.34 indd per 100 ha for SM (95% CI: 3.65-9.25 and 0.74-2.42, respectively). For the entire area, the estimated density was 3.38 deer per 100 ha (95% CI: 2.18-5.24). Monitoring population trends is crucial to assess the impact of methods aimed at reducing the population size or impact and here we provided an example of a robust method that can be implemented to continuously monitor expanding populations.

AB - Many European agricultural landscapes have been abandoned facilitating the comeback of large ungulates. In Portugal, the increase in red deer numbers caused local conflicts with landowners reporting economic losses in forest and agricultural plantations. A great effort is needed to mitigate human-red deer conflicts through management strategies. Successful management strategies require reliable information on population trends. Here we propose an easy and readily applied method to estimate an increasing ungulate population. We estimated the red deer population density in a Mediterranean environment located in northeastern Portugal: Lombada National Hunting Area (LNHA) and Serra de Montesinho (SM), using pellet group counts coupled with distance sampling to account for pellet detectability. The estimated red deer density using a stratified detection function was 5.81 indd per 100 ha for LNHA and 1.34 indd per 100 ha for SM (95% CI: 3.65-9.25 and 0.74-2.42, respectively). For the entire area, the estimated density was 3.38 deer per 100 ha (95% CI: 2.18-5.24). Monitoring population trends is crucial to assess the impact of methods aimed at reducing the population size or impact and here we provided an example of a robust method that can be implemented to continuously monitor expanding populations.

KW - Cervidae

KW - Deer density

KW - Distance sampling

KW - Pellet group counting

KW - Rural areas

UR - http://www.scopus.com/inward/record.url?scp=84946846277&partnerID=8YFLogxK

U2 - 10.17221/52/2015-JFS

DO - 10.17221/52/2015-JFS

M3 - Article

VL - 61

SP - 422

EP - 430

JO - Journal of Forest Science

T2 - Journal of Forest Science

JF - Journal of Forest Science

SN - 1212-4834

IS - 10

ER -

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ID: 255606619