Traditional medicine beliefs are culturally important in some West African communities, where there is a thriving domestic consumer demand for wild animal derivatives. Yet, such practices can threaten the conservation of wild populations and negatively impact animal welfare. To identify those species most likely to be affected, we investigated wildlife derivative trade at the largest fetish market of West Africa in Togo. Specifically, we asked what wild animals or animal products were most profitable, which wild animals were perceived by vendors to have increased most in rarity and what they were used for. A key question was whether vendors also sold plant-based alternatives. Vendors provided 36 local animal names, from which we inferred an estimated 281 species. Thirteen percent of these inferred species are categorised on the IUCN Red List as threatened (n = 35); 26% are declining (n = 72). The most commonly cited most profitable wildlife derivatives were “Pangolin” and “Python”; the most commonly cited most profitable live wild animal was “Chameleon”. Overall, wildlife use was predominantly spiritual rather than medicinal. Plant-based alternatives were available, but comprised < 40% of sales and appeared to be considered less important or less useful than wild animal products. The legal status of this domestic trade in Togo is unclear given the existence of potentially conflicting national legislation. In addition to further research focused on the actual impacts on populations and individuals of the species indicated, socio-economic importance of this trade, societal pressures driving consumer demand and an assessment of the feasibility of sustainable plant-based alternatives is warranted.
We provide an initial insight into the occurrence and characteristics of animal-visitor interactions (AVIs) involving captive wild animals within zoos and aquaria. Using information provided online via official public websites of modern zoos and aquaria, we found that AVIs were provided by the majority of facilities. Our study revealed that a variety of AVI types were being offered. Globally, petting captive wild animals was the most prevalent AVI type advertised (n = 1241 observations, 43% (534) of facilities) and Mammalia was the most advertised taxonomic class (n = 5142; 53% (2739)). We found certain AVI types that were more commonly offered than predicted. These were opportunities to: (1) Hand feed captive wild animals in Asia, North America and Oceania; (2) ride wild animals in Europe and North America; (3) walk with or swim through wild animal enclosures in Asia; and (4) walk with wild animals in Asia and Europe. Given the global prevalence of AVIs in modern zoos and aquaria, and an apparent lack of animal welfare focused research, we provide recommendations to help effectively balance and manage captive wild animal welfare with other primary interconnected goals.
In human exposure studies involving Polychlorinated Biphenyls (PCBs), it is useful to establish when an individual was potentially exposed. Age dating PCB exposure is complex but assessments can be made because different PCB congeners have different residence times in the human body. The less chlorinated congeners generally tend to have shorter residence times because they are biotransformed and eliminated faster than more chlorinated congeners. Therefore, the presence of high proportions of less chlorinated congeners is often indicative of recent exposure. The 2003-04 National Health and Nutrition Examination Survey (NHANES) dataset contains results for the concentration of 37 PCBs in a sub-sample of the US population. Multivariate statistical analysis of the NHANES data showed that less chlorinated congeners are not always biotransformed faster than higher chlorinated compounds. For example, PCB 28 (a tri-chlorobiphenyl) appears to be more resistant to biotransformation than PCB 101 and 110 (penta-chlorobiphenyls). Using statistical analysis of the NHANES data in conjunction with previously published studies on PCB persistence in humans, it was possible to identify the structural relationships that determine if a PCB is likely to be from a recent exposure (termed 'episodic') or from steady state exposure. Congeners with chlorine atoms in the 2,5- and 2,3,6-positions appear to be more susceptible to biotransformation whereas congeners with chlorine bonds in the 2,3,4- 2,4,5- 3,4,5- and 2,3,4,5-positions appear to be more persistent. This work shows that future investigations to date PCB exposure would benefit from the analysis of a wide range of congeners, including the selection of key congeners based not only on the degree of chlorination but also on the positions of the chlorine atoms on the biphenyl.
2020) Are concentrations of pollutants in sharks, rays and skates (Elasmobranchii) a cause for concern? A systematic review. Marine Pollution Bulletin, 160. p. 111701.
A GC × GC-TOFMS installed with a Rtx-PCB (60 m × 0.18 mm × 0.18 μm) in the first dimension and Rxi- 17 (1.5 m × 0.1 mm × 0.1 μm) column in the second dimension was used to separate 188 out of 209 congeners. A further 12 congeners were identified through additional data processing resulting in the identification of a total of 200 congeners. However, caution is advised if these 12 congeners were to be used in quantitative assessments. The remaining 9 co-eluting congeners were three doublets (CB65 + CB62, CB160 + CB163 and CB201 + CB204) and one triplet (CB20 + CB21 + CB33). This method was tested on five Aroclors and resulted in the separation of all congeners present in the heavier Aroclor mixtures A1254 and A1260. The suitability of this method for applications in biological matrices was demonstrated on extracted whiting and guillemot liver samples which resulted in the identification of 137 individual PCBs in the whiting liver sample and 120 in the guillemot sample. Fingerprinting was able to show clear differences in the PCB signature of the two animals. This highlights the potential of this method for PCB fingerprinting in environmental forensics studies and other assessments that require congener specific analysis.
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