2008
DOI: 10.3354/esr00127
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Pangolins in peril: using local hunters’ knowledge to conserve elusive species in Vietnam

Abstract: Pangolins are among the most valuable and widely traded taxa in the Southeast Asian illegal wildlife trade, yet little is known of their ecology and they are rarely reported in biodiversity surveys. Firstly, this study collated field and museum reports to produce the first distribution maps for the pangolins Manis pentadactyla and M. javanica in Vietnam. We also demonstrated that current biodiversity monitoring methods are rarely successful in recording pangolin presence and that most of the information about … Show more

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Cited by 99 publications
(101 citation statements)
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“…We also conducted semi-structured interviews with local people to collect data for occurrences after the year 2000 [12,33,34]. Conflicting records with unsubstantiated metadata, such as those lacking relevant or detailed descriptions, were excluded from the analysis.…”
Section: Methodsmentioning
confidence: 99%
“…We also conducted semi-structured interviews with local people to collect data for occurrences after the year 2000 [12,33,34]. Conflicting records with unsubstantiated metadata, such as those lacking relevant or detailed descriptions, were excluded from the analysis.…”
Section: Methodsmentioning
confidence: 99%
“…We conducted a semi-structured interview and questionnaire survey (Newton et al 2008) with 100 respondents randomly from different disciplines like school teachers, herders, community forest user groups, forest officers, local people etc. in order to identify associated threats to the Himalayan Vultures.…”
Section: Methodsmentioning
confidence: 99%
“…In response to these problem and resources limitations for conservation, research efforts need to focus on with data shortage. Wildlife monitoring data from infrared-triggered camera trapping, field surveys, and interviews have been successfully applied in numerous conservation studies (He et al, 2016; Lescureux et al, 2011; Li et al, 2010; Newton et al, 2008; Rovero & Marshall, 2009; Villette et al, 2016). Combining data from multiple sources into a single dataset can ameliorate the data shortage that often limits local studies.…”
Section: Introductionmentioning
confidence: 99%