The one-day workshop, organised by the group in Lille, consisted of a series of talks by researchers from the Universities of Lille, Ghent and Kent.
Eleni gave talks on her work on modelling BeeWalk data and on modelling eDNA data.
The one-day workshop, organised by the group in Lille, consisted of a series of talks by researchers from the Universities of Lille, Ghent and Kent.
Eleni gave talks on her work on modelling BeeWalk data and on modelling eDNA data.
Eleni presented her work on new models for DNA-based biodiversity monitoring as part of the sustainability lecture series organised by SMSAS.
The talk explained why it is important to monitor biodiversity and why it is challenging and how DNA-based surveys can help us overcome some of these challenges.
The recordings of the invited session, organised by Eleni as Chair of the Environmental Statistics Section, at the 2021 RSS conference are available on the RSS youtube channel
Landscapes are continuously changing, either naturally of because of human intervention. It is important to understand these changes, their short- and long-term effects and the associated risks, and to make decisions on the need and way to stop or reverse changes when required. This session demonstrated how statistics are currently used to inform decision-making at the landscape scale, with pollinators, animal populations, air pollution and droughts as case studies and will highlight emerging statistical challenges within landscape decision-making, specifically around assimilating data from both numeric and non-numeric perspectives.
The session, which took place on Wednesday 8 September 2021 14.20-15.40, featured talks by Mark Brewer (BiOSS), Richard Everitt (Warwick), Emma Gardner (Reading) and Carly Stevens c.stevens@lancaster.ac.uk (Lancaster)
Dr Eleni Matechou, chair of the Environmental Statistics section of the Royal Statistical society, has published the following report about the meeting
Eleni Matechou, chair of the Environmental Statistics section of the Royal Statistical Society, has published the following report about the meeting
Daniel Bearup, Eduard Campillo-Funollet, Eleni Matechou and Bruno Santos were awarded funding from the University of Kent’s Migration and Movement Research Theme to run a 2 day workshop 5/6 May 2022.
The workshop will be themed around modelling of movement and migration, with the goal of identifying opportunities for collaboration between mathematicians, statisticians, ecologists and demographers, as well as discussing novel approaches within this theme.
The event will be face to face and take place on the University of Kent campus, in Grimond Building (in Lecture Theatre 1), with some virtual talks, to encourage interaction between participants and invited speakers.
The workshop will feature three broad themes, each covering corresponding approaches for modelling migration and movement: 1) Statistical Ecology 2) Mathematical Modelling 3) Demography and Social Sciences.
There is an exciting line up of speakers (see list below) from the UK and abroad.
Registration for the event is now closed. If you would like to attend and did not get a chance to register then you are welcome to attend the talks but please note that hospitality has only been ordered for 30 attendees.
Programme
Thursday 5th – Morning
Thursday 5th – Afternoon
Friday 6th – Morning
If you are driving to campus then you can find information on parking here.
Eleni was invited to present some of her work on modelling bumblebee citizen science data during a meeting organised by the British and Irish Region of the International Biometric Society on Advanced Topics in Spatial Sampling.
Eleni’s talk showcased a new Bayesian model, developed and implemented into a freely-available RShiny app by research Fabian Ketwaroo and demonstrated it when modelling two species of UK bumblebees.
The meeting, initially planned for May 2020, will now take place virtually on the 16th of October.
The timetable for the day is
9.30-10 Kerry Walsh, Environment Agency: “Challenges and opportunities: A regulator’s perspective.”
10-10.15 discussion/change over
10.15-10.45 Naomi Ewald, FreshWater Habitats Trust: “Analysis of eDNA data to inform conservation priorities: case studies of long term species monitoring and short term before-after surveys.”
10.45-11 discussion/change over
11-11.30 morning break
11.30-12 Francesco Ficetola, University of Milan: “Environmental DNA to track long-term changes of mountain ecosystem.”
12-12.15 discussion/change over
12.15-12.45 lunch break
12.45-13.15 Jim Griffin, University College London: “Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors.”
13.15-13.30 discussion/change over
13.30-14 Doug Yu, University of East Anglia: “Managing wildlife with eDNA data: salmon, leeches, insects, and forests.”
14-14.30 discussion/close
Participants can register on the RSS website.
Environmental DNA (eDNA) is an increasingly popular survey tool for monitoring species distribution. eDNA surveys have been used with a wide variety of species in different landscapes and there is growing evidence that they suffer from lower observation error than existing methods relying on direct observation of the target species.
From detecting single species using quantitative polymerase chain reaction (qPCR), to studying whole communities using metabarcoding, eDNA is showing great promise in helping us understand species distributions and community compositions.
However, we are yet to fully understand the properties of eDNA, and hence are only beginning to appreciate the opportunities that eDNA surveys bring or the challenges that we need to overcome in the field, in the lab or in implementing eDNA surveys into policy.
This meeting brings together researchers who are leading in the development of new statistical methods for analysing eDNA data, in evaluating the use of eDNA surveys with different species and landscapes, or in embedding eDNA techniques into national or international policy.
Speakers and talks
The meeting, organised by the Environmental Statistics Section and the Emerging Applications Section of the Royal Statistical Society (RSS) will take place on the 7th of May 2020 at the RSS headquarters (12 Errol St, London EC1Y 8LX).
Follow this link to register for the event.
If you have any questions email e.matechou@kent.ac.uk.
Eleni presented some of her joint work with colleagues from Oxford, UCL and Kent on modelling phenology using a Bayesian non-parametric approach for capture-recapture data.
The seminar was streamed live and the video is available here