Application of the integrated threat theory to conservation law enforcement

Author:

Soofi Mahmood123ORCID,Ghasemi Benjamin4ORCID,Ahmadpour Mohsen56,Soufi Mobin7,Islami Iman8,Eckert Alaina1,Arabi Mohammad Hossein Gorjian69,Qashqaei Ali T.10ORCID,Selyari Javad1112,Nasirahmadi Kamran13ORCID,Kamp Johannes1ORCID,Waltert Matthias1ORCID,Addison Jane14,Pavey Chris R.13

Affiliation:

1. Department of Conservation Biology University of Göttingen Göttingen Germany

2. Geography Department Humboldt‐University Berlin Berlin Germany

3. CSIRO Land and Water Darwin Northern Territory Australia

4. Human Dimensions of Natural Resources Department Colorado State University Fort Collins Colorado USA

5. Department of Environmental Sciences, Faculty of Marine and Environmental Sciences University of Mazandaran Babolsar Iran

6. Research Center for the Caspian Region University of Mazandaran Babolsar Iran

7. Hyrcanian Institute of Biodiversity Conservation and Ecotourism Kalaleh Totli‐Tamak Iran

8. Department of Rangeland Management, Faculty of Natural Resources and Marine Sciences Tarbiat Modares University (TMU) Noor Iran

9. Department of Marine Biology, Faculty of Marine and Environmental Sciences University of Mazandaran Babolsar Iran

10. Kharrazi Complex Tehran Iran

11. Faculty of Natural Resource and Environment University of Birjand Birjand Iran

12. Iran Department of Environment Tehran Iran

13. Faculty of Civil Engineering University of Science and Technology of Mazandaran Behshahr Iran

14. College of Science and Engineering James Cook University Douglas Queensland Australia

Abstract

AbstractInteractions between law enforcement agents in conservation (e.g., rangers) and illegal resource users (e.g., illegal hunters) can be violent and sometimes fatal, which negatively affects conservation efforts and people's well‐being. Models from social psychology, such as integrated threat theory (ITT) (intergroup interactions shape intergroup emotions, prejudices and perceived threats leading to hostile attitudes or behaviors between groups), are useful in addressing such interactions. Conservation approaches relying mainly on law enforcement have never been investigated using this framework. Using a structured questionnaire, we collected data from 282 rangers in protected and unprotected areas (n = 50) in northern Iran. We applied Bayesian structural equation modeling in an assessment of rangers’ affective attitudes (i.e., emotions or feelings that shape attitudes toward a person or object) toward illegal hunters in an ITT framework. Rangers’ positive perceptions of illegal hunters were negatively associated with intergroup anxiety (emotional response to fear) and negative stereotypes about a hunter's personality, which mediated the relationship between negative contact and affective attitudes. This suggests that negative contact, such as verbal abuse, may lead rangers to perceive illegal hunters as arrogant or cruel, which likely forms a basis for perceived threats. Rangers’ positive contact with illegal hunters, such as playing or working together, likely lowered their perceived realistic threats (i.e., fear of property damage). Perceived realistic threats of rangers were positively associated with negative contacts (e.g., physical harm). The associations we identified suggest that relationships based on positive interactions between rangers and illegal hunters can reduce fear and prejudice. Thus, we suggest that rangers and hunters be provided with safe spaces to have positive interactions, which may help lower tension and develop cooperative conservation mechanisms.

Publisher

Wiley

Reference82 articles.

1. An integrated threat model of explicit and implicit attitudes

2. Plant biodiversity of Hyrcanian relict forests, N Iran: An overview of the flora, vegetation, palaeoecology and conservation;Akhani H.;Pakistan Journal of Botany,2010

3. Structural equation modeling in practice: A review and recommended two-step approach.

4. What will it take to professionalize rangers?

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3