| Literature DB >> 35402091 |
Kumar Paudel1, Amy Hinsley2, Diogo Veríssimo2, Ej Milner-Gulland2.
Abstract
Illegal wildlife trade (IWT) is threatening many species across the world. It is important to better understand the scale and characteristics of IWT to inform conservation priorities and actions. However, IWT usually takes place covertly, meaning that the data on species, trade routes and volumes is limited. This means that conservationists often have to rely on publicly available law enforcement reports of seizures as potential indicators of the magnitude and characteristics of IWT. Still, even these data may be difficult to access, leading conservationists to use media reports of seizures instead. This is the case in countries like Nepal, which have limited capacity in data keeping and reporting, and no centralized data management system. Yet reliance on media reports risks introducing further biases, which are rarely acknowledged or discussed. Here we characterize IWT in Nepal by comparing data from three sources of information on IWT between January 2005 and July 2017: seizure reports from three Nepali national daily newspapers, official seizure records for Kathmandu district, and data on additional enforcement efforts against IWT in Nepal. We found a strong positive correlation between the number of official and media-reported seizures over time, but media under-reported seizure numbers, with 78% of seizures going unreported. Seizures of charismatic, protected species were reported more often and seizure reports involving tigers were most likely to be reported (57%). Media reports appeared to be a good indicator of trends and the species being seized but not overall seizure number, with the media largely underestimating total seizure numbers. Therefore, media reports cannot be solely relied upon when it comes to informing conservation decision-making. We recommend that conservationists triangulate different data sources when using seizure data reported in the media to more rigorously characterise IWT. ©2022 Paudel et al.Entities:
Keywords: Enforcement; Media underreporting; Nepal; Pangolin; Poaching; Red panda; Rhino; Tiger; Wildlife trafficking
Year: 2022 PMID: 35402091 PMCID: PMC8992658 DOI: 10.7717/peerj.13156
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Potential biases that we hypothesise are likely to exist in each source of data used in the study (shaded cells represent biases that cannot be investigated in this study but should still be considered).
We define bias as an underrepresentation or overrepresentation in different sources of data of particular types of wildlife trade products or seizures.
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| Official seizure records | Enforcement officers may find certain species/products easier to detect or identify, or may be focused on species that are higher priority due to protection status or financial value. Conversely some high profile species seizures may not be officially recorded by the authorities to maintain the image of enforcement effectiveness. | Charismatic mammals; easily detected IWT products; valuable IWT products | Plants; animals that are not protected/high profile; species that are traded as processed products; potentially some very high profile species. |
| Media reports | Editors may favor stories about species they think will be of interest to readers, or seizures that are out of the ordinary in some way due to volume of products seized/financial value, or species involved. Seizures from cities may be picked up more, and more recent seizures may be overrepresented as illegal wildlife trade has risen in prominence. | Charismatic mammals; larger seizures; multiple arrestees; valuable seizures; big cities; more recent seizures | Small seizures; plants/non-charismatic animals; seizures that take place in rural areas; older seizures; lesser known species |
| Police records of enforcement operations | Officers may be more likely to focus on high-value species or seizures that are linked to other crimes. Seizures may be focused on urban areas with more police, or priority areas where more operations take place. | High-profile species; data on their own operations; the areas where they operate | Seizures made during other enforcement operations; areas outside their jurisdiction |
Variables used in regression analysis to understand the drivers of wildlife seizure reporting in three Nepali newspapers (The Kathmandu Post, Kantipur and Gorkhapatra).
| Variables | Description | Coding |
|---|---|---|
| Protection Level | Level of legal protection given to the species seized. When species belonging to different legal categories were seized together, the record was assigned the highest level of protection as per National Parks and Wildlife Conservation Act. | (0) not protected, (1) level 1 legal protection, (2) level 2 legal protection, according to Nepal’s National Parks and Wildlife Conservation Act |
| Year | Calendar year in which the seizure took place | Year number in Gregorian calendar |
| Number arrested | Number of people arrested | Number |
| Species dummy coded for each of: Elephant, Tiger, Rhino, Musk deer, Red panda, Pangolin, Leopard Bear, Owl, Others | Presence or absence of specific species products in a seizure | (0) Absence, (1) Presence |
Notes.
Level 0: protected species with sanctions of a fine up to NPR 20,000 or 6 months imprisonment or both; Level 1: protected species with sanctions of fine NPR 100,000 to 500,000 or 5 years to 10 years imprisonment or both; Level 2: protected species with higher sanctions of fine NPR 500,000 to 1,000,000 or 5 years to 15 years imprisonment or both, this includes one-horned rhinoceros, tiger, elephant, musk deer, clouded leopard, snow leopard and gaur.
Presence or absence of wildlife products in a seizure from species that are less frequently seen in trade (e.g., seahorse, wild boar, spotted deer and turtle, otter, python).
Number of wildlife crime control operations conducted across Nepal by the Central Investigation Bureau (CIB) of the Nepal Police, size of CIB team and CIB-led wildlife seizures in Kathmandu district between 2011 and 2016.
| Year | Number of operations across Nepal | Number of people in CIB wildlife crime control team | Total number of seizures in Kathmandu |
|---|---|---|---|
| 2011 | 18 | 7 | 16 |
| 2012 | 25 | 12 | 36 |
| 2013 | 29 | 42 | 30 |
| 2014 | 34 | 42 | 42 |
| 2015 | 52 | 42 | 37 |
| 2016 | 58 | 42 | 49 |
| Total | 216 | NA | 210 |
Figure 1Number of wildlife seizure news reported in The Kathmandu Post, Gorkhapatra and Kantipur dailies during 2005 to July 2016.
Figure 2Number of wildlife seizure news reports from different districts published in The Kathmandu Post, Gorkhapatra and Kantipur dailies during Jan 2005 to July 2017
Number of wildlife seizure news reports from different districts in the newspapers varies from 0 to 63. Due to these variations, equal intervals could not project the data clearly, so we choose represent them in an ordinal scale.
Figure 3Number of reported and unreported wildlife seizures per species. Reported seizures refer to a report being found in any of the three newspapers.