Patterson et al. evaluate the potential for integrated species distribution models to predict species distributions at remote, understudied locations, focusing on scenarios where no species observations are available at the projection site 🐾
🌍 🧪
buff.ly/TOVl3L1
Patterson et al. evaluate the potential for integrated species distribution models to predict species distributions at remote, understudied locations, focusing on scenarios where no species observations are available at the projection site 🐾
🌍 🧪
buff.ly/TOVl3L1
We tackle a big question in conservation: how can we make smarter use of existing surveys to learn about places and species we haven’t yet been able to survey? 🏔️
🔗 Read the paper here: doi.org/10.1111/2041...
We tackle a big question in conservation: how can we make smarter use of existing surveys to learn about places and species we haven’t yet been able to survey? 🏔️
🔗 Read the paper here: doi.org/10.1111/2041...
Forrest et al. present deepSSF, an approach to fit and predict animal movement data using deep learning 🐃 🌍 🧪 Read the full article here 👇
buff.ly/BWQ3Oni
Forrest et al. present deepSSF, an approach to fit and predict animal movement data using deep learning 🐃 🌍 🧪 Read the full article here 👇
buff.ly/BWQ3Oni
#NZES_SCBO2026 #ICCB2025
confer.eventsair.com/2026-nzes-sc...
#NZES_SCBO2026 #ICCB2025
confer.eventsair.com/2026-nzes-sc...
Happy to see this @aunz.theconversation.com piece out.
Happy to see this @aunz.theconversation.com piece out.
besjournals.onlinelibrary.wiley.com/doi/10.1111/...
besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Simulating gave us dynamic spatial predictions across the landscape.
Code! github.com/swforrest/dy...
Simulating gave us dynamic spatial predictions across the landscape.
Code! github.com/swforrest/dy...
🔗 Check out a summary of the work: arcsaef.com/story/new-an...
🔗 Read the paper here: doi.org/10.1111/ddi....
🔗 Check out a summary of the work: arcsaef.com/story/new-an...
🔗 Read the paper here: doi.org/10.1111/ddi....