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Counting bears in the Iranian Caucasus : Remarkable mismatch between scientifically-sound population estimates and perceptions

Moqanaki, Ehsan M. LU ; Jiménez, José ; Bensch, Staffan LU and López-Bao, José Vicente (2018) In Biological Conservation 220. p.182-191
Abstract

Lack of reliable information on the status of species often leads managers to exclusively rely on experiential knowledge, opinions or perceptions, usually derived from personnel associated with natural resource management agencies. Yet, the accuracy of these sources of information remains largely untested. We approached this challenge, which is particularly common for wildlife monitoring programs in developing countries, using a population of Asian brown bears (Ursus arctos) in the Iranian Caucasus as case study. We conducted a noninvasive, genetic, spatial capture-recapture (SCR) study to estimate bear density across a core protected area, Arasbaran Biosphere Reserve, and compared our estimate of bear abundance with rangers'... (More)

Lack of reliable information on the status of species often leads managers to exclusively rely on experiential knowledge, opinions or perceptions, usually derived from personnel associated with natural resource management agencies. Yet, the accuracy of these sources of information remains largely untested. We approached this challenge, which is particularly common for wildlife monitoring programs in developing countries, using a population of Asian brown bears (Ursus arctos) in the Iranian Caucasus as case study. We conducted a noninvasive, genetic, spatial capture-recapture (SCR) study to estimate bear density across a core protected area, Arasbaran Biosphere Reserve, and compared our estimate of bear abundance with rangers' perceptions as collated through interviews. The perceived abundance of bears by local rangers was between 3 and 5 times higher than our SCR estimate of 40 bears (2.5–97.5% Bayesian Credible Intervals = 27–70; density: 4.88 bears/100 km2). Our results suggest that basing management of the local bear population on perceptions of population status may result in overestimating the likelihood of population persistence. Our findings offer a scientific baseline for an evidence-based conservation policy for brown bears in Iran, and the broader Caucasus Ecoregion. The majority of threatened terrestrial megafauna occur in developing countries, where collecting and analyzing demographic data remain challenging. Delayed conservation responses due to the lack of, or erroneous knowledge of population status of such imperiled species may have serious consequences.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bear abundance, Evidence-based conservation, Guesstimates, Noninvasive genetic sampling, Perceptions, Spatial capture-recapture
in
Biological Conservation
volume
220
pages
10 pages
publisher
Elsevier
external identifiers
  • scopus:85044450933
ISSN
0006-3207
DOI
10.1016/j.biocon.2018.02.016
language
English
LU publication?
yes
id
f45e27ad-1fda-48b1-ab78-429dbf8a4545
date added to LUP
2018-05-23 10:47:43
date last changed
2022-04-17 20:38:25
@article{f45e27ad-1fda-48b1-ab78-429dbf8a4545,
  abstract     = {{<p>Lack of reliable information on the status of species often leads managers to exclusively rely on experiential knowledge, opinions or perceptions, usually derived from personnel associated with natural resource management agencies. Yet, the accuracy of these sources of information remains largely untested. We approached this challenge, which is particularly common for wildlife monitoring programs in developing countries, using a population of Asian brown bears (Ursus arctos) in the Iranian Caucasus as case study. We conducted a noninvasive, genetic, spatial capture-recapture (SCR) study to estimate bear density across a core protected area, Arasbaran Biosphere Reserve, and compared our estimate of bear abundance with rangers' perceptions as collated through interviews. The perceived abundance of bears by local rangers was between 3 and 5 times higher than our SCR estimate of 40 bears (2.5–97.5% Bayesian Credible Intervals = 27–70; density: 4.88 bears/100 km<sup>2</sup>). Our results suggest that basing management of the local bear population on perceptions of population status may result in overestimating the likelihood of population persistence. Our findings offer a scientific baseline for an evidence-based conservation policy for brown bears in Iran, and the broader Caucasus Ecoregion. The majority of threatened terrestrial megafauna occur in developing countries, where collecting and analyzing demographic data remain challenging. Delayed conservation responses due to the lack of, or erroneous knowledge of population status of such imperiled species may have serious consequences.</p>}},
  author       = {{Moqanaki, Ehsan M. and Jiménez, José and Bensch, Staffan and López-Bao, José Vicente}},
  issn         = {{0006-3207}},
  keywords     = {{Bear abundance; Evidence-based conservation; Guesstimates; Noninvasive genetic sampling; Perceptions; Spatial capture-recapture}},
  language     = {{eng}},
  month        = {{04}},
  pages        = {{182--191}},
  publisher    = {{Elsevier}},
  series       = {{Biological Conservation}},
  title        = {{Counting bears in the Iranian Caucasus : Remarkable mismatch between scientifically-sound population estimates and perceptions}},
  url          = {{http://dx.doi.org/10.1016/j.biocon.2018.02.016}},
  doi          = {{10.1016/j.biocon.2018.02.016}},
  volume       = {{220}},
  year         = {{2018}},
}