Eleanor Warren-Thomas ewt.bsky.social
2.8K posts
@ElliWoTo
NERC-IIASA Research Fellow/Lecturer @BangorUni @IIASAVienna thinking about biodiversity 🦎🦋🐦🌳 climate + economics. Especially tropical forests + rubber.
Fully-funded PhD opportunity on #MarineConservation and #BlueEconomy at @MonashUni in Melbourne, with fieldwork in Asia-Pacific - deadline July 1st: careers.pageuppeople.com/513/cw/en/job/…
New Blog Post! 🚨 Written by @juliapgjones, Professor in Conservation Science at @BangorUni, and visitor to our group. Julia writes about the importance of recording outcomes of conservation projects through a tale of 'crayfish eradication' in Malta tinyurl.com/CrayfishBlog
Before we started long recovery grazing we were all about adapting our edges to to be the best habitats possible Riparian strips Trees and scrub cages Hedgerows everywhere And field divisions that were terraced ponds and wet woodland strips Now really rocking with birdsong
Our study of #swift foraging based on bolus samples from @GrahamDenny9 and @Rothamsted_RIS published today! 🐦🪲🪰 @Rothamsted #farming #farmlandbirds #farmwildlife #agriculture #entomology @ecologyhans @D_Garrett_Ento @insectchris nsojournals.onlinelibrary.wiley.com/doi/10.1002/wl…
📢'The World Is Your Oyster' is for those who are born in global north countries--don't experience visa bureaucracy & emotional burden that non-white global south scholars do. Citizenship is a privilege that we need to recognize in the academe. 1/n nature.com/articles/d4158…
Please share if you might have Indonesian wildlife researchers in your network. We are recruiting an Indonesian student for a funded PhD working with me & colleagues at @UUBeta 🇳🇱, & @UGMYogyakarta 🇮🇩. Involves cool field & travel to 🇳🇱! 📷WWF Indonesia dik.fkt.ugm.ac.id/2024/01/12/inf…
What can AI do for evidence synthesis efforts targeted at improving the effectiveness of biodiversity conservation? Watch this space! Computer scientists working directly with @ConservEvidence
In ecology, field data often has small sample sizes, due to the work required If we find a signal, eg in a regression of x on y, everyone is happy If we find none, reviewers etc blame the sample size rather than accept that there may be no relationship between x & y in reality
