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New paper – Motivations and sensitivities surrounding the illegal trade of sea turtles in Costa Rica

Illegal wildlife trade can threaten biodiversity and economic development. Criminal enterprises may add wildlife products to their list of illicit goods by using established trade routes, networks, and individuals. On the Caribbean coast of Costa Rica, killing of sea turtles and removal of their eggs is commonplace. However, beyond conservation NGOs reporting evidence of illegal take, little is known about this activity. Through semi-structured interviews with law enforcement, community members, NGOs, and illegal harvesters, alongside anecdotal information and observations, we aimed to understand the motivations for illegal take. To cross-reference these findings, we assessed sensitivities surrounding illegal harvesting by asking the general public sensitive questions using the randomized response technique; a method used to elicit sensitive information whilst insuring the anonymity of respondents. We included a questionnaire to establish if differences in demographics affected the probability respondents would admit to a turtle-related crime. Our findings identified a rare example of illegal extraction of a wildlife product driven by motivations that were not exclusively livelihood based. We found the majority of illegal take was undertaken by relatively few individuals, dependent on narcotics. The most cited reason for illegal take was that turtle eggs could be used to procure drugs. Law enforcement was under resourced, and informants reported that prosecutions were rare. Local people preferred to purchase rather than harvest eggs suggesting the trade is supply-driven. Those interviewed did not generally regard the subject of illegal harvest as sensitive. Low education levels, high unemployment rates, and marginalization of certain groups may increase susceptibility to narcotics. Although substance misuse and addiction appear to drive illegal trade, associated poverty and marginalization may explain why drug dependency is so prevalent in Caribbean Costa Rica. Increased work opportunities and drug rehabilitation programs may assist in reducing illegal take of turtle eggs on nesting beaches.

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SE@K at NSCE Summer Meeting

Several members of SE@K attended the NSCE summer meeting 26th-28th June in Swansea.

Diana Cole gave a presentation on “Bayesian Identifiability in Ecological Models”

Byron Morgan gave a talk entitled  “Bucking the trend”


Fabian Ketwaroo talked about “Modelling roost count data”

Milly Jones talked about “Bayesian multi-species hierarchical distance sampling: Density estimation of
vertebrate species in Betampona Madagascar”. Her talk was runner-up in the student presentation competition.

Thomas Cheale’s talk was on “A General Framework for Balancing Privacy and Variance in Randomised
Response Methods”

Alex Diana talked about “Modelling DNA-based survey data”

Ioannis Rotous’ talk was on “Bayesian nonparametric models for batch-mark data”

They also enjoyed the sights in Swansea and the Welsh countryside

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Spring term 2023 SE@K Thursday lunches

Spring term starts with the second half of Python training by Lena :-). Plan for the term in terms of sessions (and cake) below!

  1.  19th of January     Session : Python training II – Lena; Cake : Lena & Daniel
  2.  26th of January     Session : Daniel’s grant; Cake : Diana
  3.  2nd of February    Session : HMM paper – Diana; Cake : Eleni
  4.  9th of February     Session : HMM paper – Daniel; Cake : Oscar
  5.  16th of February   Session : HMM paper – Takis (guest lecture); Cake : Alex
  6.  23rd of February  Session : Variable selection/Hypothesis testing – Alex; Cake : James
  7.  2nd of March        Session : HMM – Fred (guest lecture); Cake : Fabian
  8.  9th of March         Session : Parameter redundancy – Daniel’s take; Cake : Tommy
  9. 16th of March         Session Swedish register data – Bruno&Eleni ; Cake : Milly
  10. 23th of March         Session : Swedish register data – Bruno&Eleni; Cake : Daniel
  11.  30th of March        Session : Spatio-temporal models – Oscar; Cake : Diana
  12.  6th of April             Session : eDNA data – Alex; Cake :  Eleni
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Se@k weekly lunches

The SE@K group are meeting weekly for research lunch and socialising 🙂

Autumn term

First week was about introductions and a tasty lunch at Dolce Vita!

Second week was about staff talking about their research interests, with Diana talking to the group about parameter redundancy.

Third, fourth & fifth week were about research students talking about their research, with Tommy using randomised response techniques to estimate the proportion of people in the group who like/liked their supervisor (!), Milly talking about distance sampling, Ioannis talking about Bayesian non-parametrics and ABC and Lena talking about predator-prey models!

The term went on with learning about Gaussian processes from Alex, about PDEs from Eduard and about Python from Lena!

 

 

 

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rGAI: An R package for fitting the generalized abundance index to seasonal count data

Emily Dennis, Calliste Fagard-Jenkin and Byron Morgan have created an R package for fitting the generalized abundance index to seasonal count data. The work has been published in Ecology and Evolution in the paper “rGAI: An R package for fitting the generalized abundance index to seasonal count data”.

The paper can be found at: https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.9200

The R package is available at: https://github.com/calliste-fagard-jenkin/rGAI

 

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Statistical Ecology Conference

Members of SE@K group attended ISEC from 27th June to 1st July. Some went to South Africa to attend in person others attended virtually.

Eleni, Alex and Ioannis gave a half day workshop on Modelling environmental DNA data.

Eleni presented work on Capture recapture models with heterogeneous temporary.

Alex gave a talk on A unifying modelling framework for metabarcoding data.

Rachel talked on Model selection for integrated population models: selecting age structure with multiple data types.

James’ presentation was on Accounting for varying spatial scales in the production of UK butterfly abundance estimates.

Diana talked about Bayesian Identifiability in Ecological Models.

Fay presented work on Assessing the success of reintroductions whilst accounting for multispecies populations.

Bryon talked about Fitting dynamic occupancy models to very large occurrence data sets using hidden Markov models.

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