Choice Structuring Properties of Natural Resource Theft: An Examination of Redwood Burl Poaching

Marteache, Nerea; Pires, Stephen F.

doi:10.1080/01639625.2019.1565518

Cited by 11 publications

(3 citation statements)

References 37 publications

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“…Its first application was manifested in the Lemieux and Clarke 2009 study of elephant poaching in Africa [ 25 ]. Subsequently, researchers have applied these theories to the study of parrot poaching in Latin America [ 26 , 27 ] and Indonesia [ 28 ]; illegal commercial fishing [ 29 , 30 ]; illegal recreational fishing [ 31 , 32 ]; tiger poaching [ 33 ]; human–leopard conflict [ 34 ]; redwood burl poaching [ 35 ]; and others. The collective findings of these studies have demonstrated the utility of examining such crimes through the environmental criminological theoretical lens, because evidence-based intervention strategies can then be directly derived from within these theoretical foundations to effectively deal with such problems.…”

Section: Methodsmentioning

confidence: 99%

Threats of Longline Fishing to Global Albatross Diversity

Pires

Sosnowski

Venu³

et al. 2022

Animals

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Albatrosses are among the most threatened seabird species. Often entangled in gillnets or hooked while longline fishing gear is being set, albatrosses are affected by fishing. This is assumed to be especially true in cases where illegal longline fishing vessels are involved, as they are less likely to implement the bycatch mitigation measures implemented to reduce the risk of albatrosses being caught on their hooks. This is the assumption that was tested in the current study, which uses environmental criminology as its guiding theoretical framework. Using the spatial units of one-half-degree by one-half-degree longitude/latitude cells, this research examined the patterns of concentration of potentially illegal longlining efforts and their relationships to commercially sought-out and illegally caught (i.e., CRAAVED—concealable, removable, abundant, accessible, valuable, enjoyable, disposable) fish species concentrations, as well as their effects on the average risk of albatrosses. The results indicated that (a) potentially illegal longlining activity is spatially concentrated; (b) this concentration is exhibited in areas with the highest concentrations of the presence of CRAAVED fish; and (c) the average risk score of albatrosses, as measured by their International Union for Conservation of Nature (IUCN) Red List status, is significantly higher in the areas where illegal longlining vessels are found controlling for the activities of legal longlining vessels. These findings provide strong grounding that illegal longline fishing poses a particularly serious threat to the survival of albatrosses. These activities, however, are not randomly spread across the vast oceans, but rather are highly spatially concentrated. Therefore, the bird conservation lobby should work closely with regional fisheries management organizations to devise and implement targeted interventions aimed at reducing potential illegal longline fishing, which, in turn, will likely have positive effects on albatrosses.

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Section: Methodsmentioning

confidence: 99%

Threats of Longline Fishing to Global Albatross Diversity

Pires

Sosnowski

Venu³

et al. 2022

Animals

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“…Kurland and colleagues (2018) determined that target abundance (density), availability of roads, and proximity to illegal markets all impacted the likelihood of specific redwood areas to be targeted for burl poaching. This was further expanded in a subsequent exploration of choice structuring properties by Marteache and Pires (2020), which found that factors that likely contribute to burl selection include risk of detection, proximity to burl shop, familiarity with the area, proximity to roads to allow for easy access to possible targets, the height of the burl relative to the ground (to allow for easy removal from the tree), and slope of the target relative to their vehicle (higher or similar slope to the road). While there is overlap between characteristics that drive fauna poaching (such as target density), this line of research suggests that there may be different factors that impact flora poaching.…”

Section: Environmental Crime In Protected Areas: Situational Risk Facmentioning

confidence: 99%

Applying Crime Pattern Theory and Risk Terrain Modeling to Examine Environmental Crime in Cambodia

Cowan

Moreto

Burton

et al. 2020

Journal of Contemporary Criminal Justice

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The spatial-temporal analysis of crime has significantly evolved. One innovative technique recently developed is risk terrain modeling (RTM). RTM, however, has yet to be used for environmental crime. This research applies RTM and draws from crime pattern theory to examine illegal activities in two protected areas in Cambodia. Findings suggest that pathways, edges, areas with suitable targets, conservation posts, landcover, and prior incidents are related to fauna- and flora-related illegal activities, though this relationship varies by season, units of analysis, and study area (i.e., patrol-based compared with official designation). Implications for theory and policy are outlined.

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“…In the introductory story, Andy's objective was to set snares and remain undetected, while Romeo One aimed to detect any suspicious activity, but ultimately to prevent poaching altogether. Recent studies within environmental criminology have applied RCP to understand the decision-making of poachers (Marteache and Pires 2019;Pires and Clarke 2012). This dissertation adds to the growing body of literature using RCP to explain poaching problems.…”

Section: Theoretical Frameworkmentioning

confidence: 98%

Securing Protected Areas

Doormaal¹,

Petrus²

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Choice Structuring Properties of Natural Resource Theft: An Examination of Redwood Burl Poaching

Cited by 11 publications

References 37 publications

Threats of Longline Fishing to Global Albatross Diversity

Threats of Longline Fishing to Global Albatross Diversity

Applying Crime Pattern Theory and Risk Terrain Modeling to Examine Environmental Crime in Cambodia

Securing Protected Areas

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