New paper: Identifying priority conservation areas for a recovering brown bear population in Greece using citizen science data

🥳🍾 Awesome work by AS Bonnet Lebrun, A Karamanlidis from @Arcturosgr M de Gabriel Hernando and I Renner @MoonbeamLevels in which we use Poisson point process models to identify priority conservation areas for brown bears in Greece 🇬🇷🐻📈 https://t.

New paper: Accounting for heterogeneity when estimating stopover duration, timing and population size of red knots along the Luannan Coast of Bohai Bay, China

New paper by @TamarLok 🤩👏 using integrated modelling of 8 years of resighting and count data and accouting for heterogeneity to show the key importance of the Luannan Coast of Bohai Bay (China) as a spring #stopover area for red knots https://t.

Seminar by Hernan Caceres on Bottom-up conservation, engaging with the local community to develop better conservation actions

Awesome talk by @hgcaceres on 'Bottom-up conservation, engaging with the local community to develop better conservation actions' 🤩 @CNRS_OccitaniE @INEE_CNRS @umontpellier @IsiteMUSE pic.twitter.com/dGOGFY9B8x — Olivier Gimenez 🖖 (@oaggimenez) 18juin 2019

New preprint: Estimating abundance with interruptions in data collection using open population spatial capture-recapture models

You have gaps in your data time-series? Open-pop SCR models may help you infer abundance, even during the gap years @PDupont17 @joechip90 @oaggimenez @R_nimble 🚀@bxv_ecol @biorxiv_ecology https://t.co/0YjWa1PmIL pic.twitter.com/Aa4cQPAcoP — Cyril Milleret (@Milleret_Cyril) 15 juin 2019

5th French conference on Statistical Ecology (thread)

Wow, the 5th conference of our 🇫🇷 group in #StatisticalEcology is open in the beautiful city of #Avignon @UnivAvignon #GdREcoStat - Check out the program ▶️ https://t.co/1H8z4VRGxI pic.twitter.com/2Fyw1NleJG — Olivier Gimenez 🖖 (@oaggimenez) 13 mai 2019

Local minima and multistate capture-recapture models

I thought I'd share some #rstats code about local minima in #multistate #capturerecapture models https://t.co/aJE33dBtdO using #Mark #Admb #Jags #Stan (#Nimble & #TMB to come). Largely inspired by Chapter 9 of the "Gentle introduction to Mark" by Cooch & White 😉 pic.

Tutorial on fitting a system of Ordinary Differential Equations to time-series data using OpenBUGS

Just wrote a short #tutorial on fitting a system of Ordinary Differential Equations to time-series data using #OpenBUGS in #rstats https://t.co/7luj8XVgP6 - Data and model are from https://t.co/X9CwX7dW83 in which #zombie movies are used for illustration #shaunofthedead pic.

Carnivores without borders: management of transboundary populations when objectives differ

A nice post by @ksuryawanshi on our recent paper on transboundary management of wolverines in Scandinavia: "Carnivores without borders: management of transboundary populations when objectives differ" https://t.co/OcAAgwUP4U via @JAppliedEcology — Olivier Gimenez 🖖 (@oaggimenez) 9 mai 2019

New paper: How many cubs can a mum nurse? Maternal age and size influence litter size in polar bears

New paper on 'How many cubs can a mum nurse? Maternal age and size influence litter size in polar bears' https://t.co/Utu4VZ0Ms3 w/ #DorindaFolio (former Master student 👏🤩) and #SarahCubaynes in control #WomenInSTEM - PDF on request 😉 pic.

Combining multiple data sources in species distribution models while accounting for spatial dependence and overfitting with penalised likelihood maximisation

New #preprint on "Combining multiple data sources in species distribution models while accounting for spatial dependence and overfitting with penalised likelihood maximisation" https://t.co/7GLRrgpo4D w/ @MoonbeamLevels & @LouvrierJulie #SDM #MachineLearning #PointProcess pic.