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Amber Cowans (she/her)

@ambercowans.bsky.social

PhD researcher at University of St Andrews 🏴󠁧󠁢󠁳󠁣󠁴󠁿 Using remote sensing and AI to study the effects of human recreation on ecological communities 🦊🦡🪶🐦‍⬛ (recreation ecology, statistical ecology, human-wildlife interaction, bioacoustics, camera traps, AI)

10 Posts168 Follower291 Folgt
RSPB@rspb.bsky.social · 6mo ago

Which is why the habitats they fight to return to must be protected. Weakening protections for key sites for nature would push our already struggling wildlife closer to collapse. Yet the UK Government is considering doing just that. Tell your MP to stop this: action.rspb.org.uk/page/186397/... ‼️

An Atlantic Puffin stands on a narrow, rocky cliff ledge streaked with lichen and tufts of grass. Its black back and white chest contrast with the pale stone, and its bright orange bill catches the light. The blurred backdrop of steep coastal rock faces hints at a rugged seabird colony, one of the special coastal habitats that provide vital nesting sites for wildlife.
Pablo Garcia-Diaz@pablo-ecology.bsky.social · 2y ago

Great paper on AI and statistical ecology - well worth a read. Improving the integration of artificial intelligence into existing ecological inference workflows 🌎🌐 besjournals.onlinelibrary.wiley.com/doi/full/10....

Improving the integration of artificial intelligence into existing ecological inference workflows

Artificial intelligence (AI) has revolutionised the process of identifying species and individuals in audio recordings and camera trap images. However, despite developments in sensor technology, m...

besjournals.onlinelibrary.wiley.com

Germán Bonilla-Rosso@germusthermophilus.bsky.social · 12mo ago

🌍🌱🧪🔬🦠🧫📈🧬🖥 Scary how many #MicrobiomeSky studies ignore this "Ecological data are inherently noisy and sparse [...] As such, it is not unexpected that robust inference of complex ecological processes like species interactions necessitates large sample sizes." doi.org/10.1002/ecy....

Sample size considerations for species co‐occurrence models

Multispecies occupancy models are widely applied to infer interactions in the occurrence of different species, but convergence and estimation issues under realistic sample sizes are common. We conduc...

doi.org

Francisco Rodriguez-Sanchez@frodsan.bsky.social · 12mo ago

Sample size considerations for species co-occurrence models #ecopubs @esajournals.bsky.social 'While occupancy patterns are often robust to limited sample size, reliable inference about co-occurrence demands substantially larger datasets than many studies currently achieve' doi.org/10.1002/ecy....

In the simplest scenario, there is high bias in the interaction parameter (used for co-occurrence inference) with less than 100 sites at high detection, and 400–1000 sites at low detection, depending on interaction strength. Strong co-occurrence is detected consistently above 200 sites with high detection probabilities, but weak co-occurrence is never consistently detected even with 2980 sites. We demonstrate that the mean predictive ability of the co-occurrence model is less affected by sample size
Amber Cowans (she/her)@ambercowans.bsky.social · last yr.

📝 Are you using multispecies occupancy models to investigate interactions in species occupancy (i.e. co-occurrence)? 🦁🦓 Check out our new paper for advice on the number of sites you need to reliably detect interactions under different scenarios ⬇️

Sample size considerations for species co‐occurrence models

Multispecies occupancy models are widely applied to infer interactions in the occurrence of different species, but convergence and estimation issues under realistic sample sizes are common. We conduc...

doi.org

Amber Cowans (she/her)@ambercowans.bsky.social · last yr.

New paper alert ⚠️ Using #AI tools like #megadetector and #birdNET to process camera trap images or audio recordings? Read our perspective piece for some considerations and guidance on 📊 working with 0-1 confidence scores 🤔 making thresholding decisions 🧑‍💻 and navigating AI-labelling errors

Improving the integration of artificial intelligence into existing ecological inference workflows

Artificial intelligence (AI) has revolutionised the process of identifying species and individuals in audio recordings and camera trap images. However, despite developments in sensor technology, m...

besjournals.onlinelibrary.wiley.com

Fergus Chadwick@fergusjchadwick.bsky.social · 2y ago

I am advertising a *fully funded* and genuinely interdisciplinary PhD looking at integrating ecology, statistics and environmental ethics. The project is part of the amazing @netgain.bsky.social. Please get in touch and share with anyone who might be interested! www.findaphd.com/phds/project...

Bridging Philosophy and Ecology: Ethical Decision-Making in Wild Salmonid Conservation at University of St Andrews on FindAPhD.com

PhD Project - Bridging Philosophy and Ecology: Ethical Decision-Making in Wild Salmonid Conservation at University of St Andrews, listed on FindAPhD.com

findaphd.com

Rob Davis@robdavis1104.bsky.social · 2y ago

Wow! Amazing opportunity here for South Africa based 🇿🇦 researchers to develop their quantitative skills! 🤩💻 Two workshops: • An intro to stats in R • Applied hierarchical modelling The course is FREE! These opportunities rarely come about in 🇿🇦, so share widely & sign up! #conservationscience 🌍

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Chris Sutherland@chrissuthy.bsky.social · 2y ago

Huge congrats to @ambercowans.bsky.social on the acceptance of her first PhD chapter in @methodsinecoevol.bsky.social: 'Improving the integration of AI into existing ecological inference workflows' It's a perspective piece, but if you cant wait, the preprint is here: biorxiv.org/content/10.1...

a group of people standing next to each other with the words right perspective on the bottom right

ALT: a group of people standing next to each other with the words right perspective on the bottom right

media.tenor.com