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Using mixed methods to understand sensitive wildlife poisoning behaviours in northern Cambodia

Published online by Cambridge University Press:  29 October 2020

Emiel de Lange*
Affiliation:
Institute of Geography, School of Geosciences, 1 Drummond Street, EH8 9XP, Edinburgh, UK
E. J. Milner-Gulland
Affiliation:
Department of Zoology, Interdisciplinary Centre for Conservation Science, University of Oxford, Oxford, UK
Vichet Yim
Affiliation:
Royal University of Agriculture, Phnom Penh, Cambodia
Chantheavy Leng
Affiliation:
Sansom Mlup Prey, Phnom Penh, Cambodia
Sithan Phann
Affiliation:
Wildlife Conservation Society, Phnom Penh, Cambodia
Aidan Keane
Affiliation:
University of Edinburgh, Edinburgh, UK
*
(Corresponding author) E-mail e.delange@ed.ac.uk

Abstract

In northern Cambodia, threatened wildlife, livestock and people are being poisoned by pesticides deposited in seasonal waterholes. Addressing this critical conservation threat requires understanding the drivers of poisoning behaviours and the social contexts in which they occur. This study across 10 communities in two protected areas aimed to provide a first assessment of this phenomenon. We used the theory of planned behaviour to measure socio-psychological determinants of behaviour and deepened this understanding using informant interviews and focus group discussions. Informants reported that so-called termite poisons, including powerful carbamates, are deliberately deposited at waterholes to catch wildlife for consumption. This method is perceived to be low effort and high efficacy, and perceptions of the health risks vary. Predominant users are young men and children, but it is unclear whether the practice is related to food insecurity. Threatened wildlife species reported as affected include the giant ibis Pseudibis gigantea and vulture species. Overall, social norms are strongly negative towards poisoning; 75% of survey respondents perceived negative norms because of impacts on human and livestock health, environmental quality, and risks of legal sanctions. This has led to interventions by local authorities in half of the studied villages. We suggest that future interventions should raise the salience of negative norms by providing a non-conflictual mechanism for community members to participate in monitoring and sanctioning, such as a reporting hotline. Regulatory interventions are also required to control the supply of restricted pesticides.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of Fauna & Flora International
Figure 0

Plate 1 Waterhole poisoning, showing a dead plaintive cuckoo Cacomantis merulinus close to the water. A purple granular pesticide is visible on the fallen tree. Photo: Wildlife Conservation Society Cambodia.

Figure 1

Fig. 1 A summary of the theory of planned behaviour (Ajzen, 1991) as applied in this study. Within the theory an individual's behaviour is predicted by their intention, which in turn is influenced by their attitudes towards the behaviour, their perceived control over the behaviour, and their perception of social norms related to the behaviour. The subjective norm is influenced by descriptive (how others behave) and injunctive norms (how others think one ought to behave).

Figure 2

Fig. 2 Study area location in Preah Vihear province, Cambodia. The Northern Plains complex of protected areas comprises three protected areas, including the two included in this study (Kulen Promtep and Chhep Wildlife Sanctuaries).

Figure 3

Plate 2 Packaging of one of the most commonly available ‘termite poisons’ as (a) sold in a provincial market, and (b) resold in a village shop. This is a carbamate, which is banned in many countries, and is restricted in Cambodia (Royal Government of Cambodia, 2012). Photo: authors.

Figure 4

Fig. 3 The strength of evidence to support each statement or research question across all 10 villages. Villages 1–6 are in Kulen Promtep Wildlife Sanctuary (KPWS), and villages 7–10 in Chhep Wildlife Sanctuary (CWS). Triangles pointing downward indicate that the evidence contradicts, circles indicate that the evidence is neutral, and triangles pointing upward indicate that the evidence is in support of the statement on the left. Larger shapes indicate that the evidence is stronger for this conclusion. Blank squares indicate that the conclusion is not applicable (i.e. because poisoning is not thought to occur in a particular village) or that there is no evidence related to the statement. The top five rows are based on quantitative measurements using Likert scales. Evidence is considered weak if the SD overlaps with the centre of the next category (e.g. mean attitude is negative, but SD overlaps with centre of the neutral category). The bottom four rows are based on qualitative evidence, and subjective judgement of the evidence. Evidence is considered strong if more than three independent sources confirmed it.

Figure 5

Fig. 4 Each construct from the theory of planned behaviour (attitudes, perceived behavioural control, injunctive norms, and descriptive norms) was measured using two questions on a five-point Likert scale. The respondent was presented with a statement and asked to what extent they agreed or disagreed. The per cent of 462 respondents providing each answer for each statement is shown.

Figure 6

Fig. 5 We fit generalized linear models to understand which variables predict constructs from the theory of planned behaviour. This figure shows the effect sizes of several variables on attitudes, descriptive norms and injunctive norms. The bars represent 95% confidence intervals. Intercept values are 4.080 for attitudes, 3.857 for descriptive norms, and 4.605 for injunctive norms. Normalized variables have been divided by their standard deviation.

Figure 7

Fig. 6 Reasons given for not using poison, by 168 survey respondents who stated they hunt wildlife.

Figure 8

Fig. 7 We fit cumulative linked mixed models (logistic regressions), to examine which variables predict perceived behavioural control. The two Likert responses (poisoning is easy, and poisoning is effective) used to measure this construct were analysed separately. This figure shows the effect size for each variable, and the bars show the 95% confidence intervals.

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