Apply!! 3 open postdocs in biome biogeography and macroecology in @nezimmermann.bsky.social's amazing ERC project on global biome mapping and evolution:
1) apply.refline.ch/273855/1856/...
2) apply.refline.ch/273855/1857/...
3) apply.refline.ch/273855/1858/...
Can you believe that until now there were more genomes sequenced for the woolly mammoth than for living African elephants?
Today, we bring you the first genomic, continent-scale analyses of 232 high-quality genomes of both species, the savanna and forest elephant.
www.nature.com/articles/s41...
I'm willing to support a MSCA application to host a postdoc in Vilnius, Lithuania on all things animal movement, habitat selection and connectivity - if you're interested, let's discuss
Theme & rules:
euraxess.ec.europa.eu/jobs/hosting...
More on my research and supervision:
fattebert.weebly.com
Animal seed dispersers are drivers of tropical forest recovery. Picture copyright by Marco Tschapka
Biodiversity of #rainforest can recover within decades when located in highly connected landscapes because animal mobility drives natural recovery. Our @reassemblynet.bsky.social synthesis paper is out @nature.com: tinyurl.com/4w24a96b
@sgn.one @unimarburg.bsky.social @jocotoco.bsky.social 🌐🌎🧪
Gracias Armand :)
8/8 This study was a nice collaboration across multiple Spanish research institutions. Huge thanks to all the researchers from EBD-CSIC (@ebdonana.bsky.social), MNCN-CSIC (@mncn-csic.bsky.social), IMIB-CSIC (@imibasturias.bsky.social), and others who made this possible. 🐺🧪🔬
7/8 🐄🦌 Lastly, diet also mattered. Wolves feeding mainly on livestock travelled shorter daily distances & net displacements than those eating wild ungulates or free-ranging horses. Predictable, clumped food = less roaming. Optimal foraging movements in human landscapes. 🍽️📍
6/8 🌲🛣️ Crucially, the spatial configuration of vegetation cover acted as a buffer, mitigating the negative effects of paved roads on all metrics. Vegetation patches that were extensive, cohesive, and complex-shaped allowed wolves to move more freely despite infrastructure.
5/6 🔄📏 Daily distances and net displacements showed similar responses to key predictors. The interaction between human population density and settlement density strongly shaped both metrics: wolves moved more where people were sparse and dispersed, and less where dense and widespread 🏘️👥.
4/8 🔍📊 By modelling wolf movement with Bayesian regressions, we found out that, among the fixed predictors analysed, human disturbance came out as the most important driver 🌍⚠️, followed by vegetation acting as refuge cover 🌳, terrain ruggedness ⛰️, main prey type 🍖, and social status 🐺.
3/8 🐺🏞️🐾 What did wolves actually do? We found out that overall wolves exhibited very short daily distances and net displacements compared to other areas of their distribution range 📉.
🐾📏 Mean daily distance: 9.0km (SD: 5.8 km)
🐾📏 Mean net displacement: 3.8km (SD: 3.6 km)
🐾📏 Straightness index: 0.44
2/8 📍 🌍 We GPS-tracked 26 wolves in NW Iberia, one of the most human-dominated areas of their global range (94 inhab/km², 3.5 km roads/km²). Based on 54,721 locations 📍 and 4,560 daily trajectories 📈, we computed 3 different metrics: daily distance, net displacement & straightness index.
1/8 🐺📢 Our study in Behavioral Ecology is out now! We explore the drivers of daily movements of wolves in human-dominated landscapes and found out that they shorten considerably their movements 🔗 Paper: sl1nk.com/xkue00q 🧵👇 (📸 Francisco J. Lema Fuentes).
Wildlife trade drives animal-to-human pathogen transmission over 40 years
New in @science.org ‼️ In the most comprehensive study to date, we show that wildlife trade is driving animal-to-human zoonotic spillover at a planetary scale, with +1 spillover per host every 10 years. Live animal markets and illegal trade pose even greater risks. 🔓 www.science.org/doi/10.1126/...
We have organised this event in Earth Day to commemorate the memory and legacy and Dom Phillips and Bruno Perreira and celebrate the launch of the paperback of Don’s book and explore futures. In person only , at Oxford’s beautiful Natural History Museum - all welcome
@naturerecovery.bsky.social
Climate niche models correctly predicted the direction of some empirically documented range shifts for bird species in the genus Tyrannus. CREDIT: Jeewantha Bandara.
Climate niche models underestimate the speed with which species move in response to climate change, according to comparisons between the models and observed shifts for more than 3,500 species. Median rates were four times faster than predicted. In PNAS: https://ow.ly/Mokn50YCqty
New Article: "Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change" rdcu.be/e7z6M
The authors mapped the continental-scale fraction of age-dependent leaf area index.
I’m recruiting a PhD and MSC student for fall 2026 working on the movement ecology and conservation of Mexican spotted owls in SW forests and rocky canyonlands. Exciting partnership with Los Alamos National Laboratory. Great vibrant lab group, high impact research! 🦉
gavinmjones.com/opportunities/
Our new paper is now out showing how time perception in animals is linked to their ecology. Using data from 237 species we show temporal perception is faster in species that fly and pursuit predators www.nature.com/articles/s41... 🌐
How do you design a camera-trap workflow that is field-resilient and analysis-ready?
Join our webinar as Dr. Hugo Magaldi and Prof. Sabrina Krief discuss camera‑trapping in Uganda and their development of DeepForestVision for AI species labelling and quality control 📸
See here 👇
buff.ly/itLWDWw
An arboreal camera-trap image form the Brazilian Amazon rainforest. An animal is detected by TropiCam-AI, which analyzes its features and tries to determine what species it is.
TropiCam-AI analyzes the prompted image, and classifies it at the species level as a black spider monkey. Users can decide to let the model predict at the taxonomic level that achieves the highes confidence and accuracy, or force predictions at the desired taxonomic level.
New paper out in @methodsinecoevol.bsky.social!
📷We present TropiCam-AI: a machine learning model that identifies 84 taxa of Neotropical arboreal mammals and birds from camera-trap images and videos. 🐒🦜
📃Paper → doi.org/10.1111/2041-210x.70213
🌐Project → github.com/andrewzamp/TropiCam-AI
📖 Published!
Introducing TropiCam-AI: A taxonomically flexible automated classifier of Neotropical arboreal mammals and birds from camera-trap data 🐦️ 🌍 📸
🔎 Read more buff.ly/WVOYQ7p.
🧵(HILO) Un equipo de investigación del MNCN-@CSIC
ha desarrollado TropiCam-AI, el primer algoritmo de IA que identifica automáticamente, a partir de imágenes de cámaras trampa, las especies animales que habitan en el dosel de bosques húmedos neotropicales. www.mncn.csic.es/es/Comunicac...
➡️ Ya está disponible la convocatoria #Empleo Joven 2026 del #CSIC, con 176 contratos formativos en diferentes CCAA
👩🔬 Dirigida a menores de 30 años con un título de formación profesional de grado superior
📅 Solicitudes hasta el 6 de febrero
👉 http://tiny.cc/0nby001
Hi Gabby, could you add me? ☺️🤓
#AI is transforming #ecology — but at what cost? A new #Nature piece warns that as models, drones & remote sensing boom, many scientists are spending less time outdoors (“I rarely get outside”). Are we losing essential natural-history insight? 🌿🤖
🧪🌍🌐
www.nature.com/articles/d41...
We've got ISSUES. Literally.
We scraped >100k special issues & over 1 million articles to bring you a PISS-poor paper. We quantify just how many excess papers are published by guest editors abusing special issues to boost their CVs. How bad is it & what can we do?
arxiv.org/abs/2601.07563
A 🧵 1/n
New paper out! 🐦📊
We realease AVONICHE, a global dataset with detailed information on the proportional use of 32 foraging niches, combining dietary categories with the behaviours and substrates used to access resources.
Openly access the paper and data in GEB: doi.org/10.1111/geb....
New paper out in collab with amazing Brazilian researchers! By sampling 30 vegetation plots along a hunting pressure gradient, we show that sapling recruitment of large-seeded animal-dispersed species is consistently lower in overhunted forests.
onlinelibrary.wiley.com/doi/10.1002/...
First PhD paper out!🎉
Dive in here to see how past frugivores and present human pressure jointly shape seed size distributions on Madagascar: doi.org/10.1111/ele....
Huge thanks to Alexander Zizka and my supervisor Renske Onstein @renskeonstein.bsky.social
. Excited to keep going on this journey!