🧑🏽🔬 PostDoc @fletcher.ecology CambridgeU | 🎓 MonashU'24 | 📚 Appl. Quant. Global Change Ecology | Fellow IPBES | JrAE J Appl Ecol | Explorer NatGeo | 🎲 Brimming w/ chaos & positivity | Grung Valor Bard 🐸
Work hard, play hard: they really followed my motto!
Powerful publications on the way!
A new #publication with 65 authors from all continents (except Antarctica), 42 article pages and >500 references.
doi.org/10.1111/brv....
🌐 #ecology #globalchange
We’re applying this method to 600+ alien amphibians and reptiles 🦎🐸 to map their global invasion potential & understand global biotic homogenization 🌍
(8/8)
We sub-sample both presences & backgrounds across the full environmental gradient available to a species.
This helps SDMs better:
📌 Explain niches
📍 Predict current distributions
🕰️ Project future/range-shifting scenarios
(7/8)
Environmental sampling bias!
The model didn’t capture the true species-environment relationship—it just overfit to the oversampled Australian conditions.
➡️ The data were unbalanced in environmental space, and it showed.
(6/8)
Goal: Predict the global invaded range of the cane toad 🐸
Data:
🇧🇷 1000 records from native Brazil
🇦🇺 2000 from invaded Australia
🇵🇭 100 from invaded Philippines
👉 All thinned using standard methods (SOA)
Result: SDMs accurately predicted AU and BR(overfit), but mehhh in PH
(5/8)
📄 doi.org/10.1038/s415...
(4/8)
Apply 'Habitat Stratified Sampling Design' when thinning both data.
Our new methods:
1️⃣ Environmental clustering
2️⃣ Environmental distance thinning
Both outperform conventional approaches for:
🌍 Explaining
📍 Predicting
⏳ Projecting species distributions
(3/8)
Environmental sampling bias = when some environmental conditions are oversampled just because they’re common or widespread across the landscape.
➡️ This skews the models and messes with predictive accuracy.
(2/8)
Reposted by Quentin Groom, Sanne Govaert, Arman Pili
This survey is hosted by the GBIF and @tdwg.org task groups on IAS ⭐
🔗www.surveymonkey.com...
https://doi.org/10.1111/oik.11134
#Megafauna #Coexistence #Megaherbivore #ShiftingBaselineSyndrome #CommunityEcology #LargeHerbivore
Reposted by Arman Pili
onlinelibrary.wiley.com/doi/abs/10.1...
Reposted by Vijay Barve, Arman Pili
The GBIF Asia Regional Support Team is hosting a virtual #DataMobilization workshop in February 2025 📍 to support capacity needs and to promote data publication across the #Asia region!
Registrations are open!
🔗gbif.link/2025-asia-...
Reposted by Arman Pili, Jules E. Farquhar
Reposted by Arman Pili
nsojournals.onlinelibrary.wiley.com/doi/10.1111/...
Reposted by Quentin Groom, Arman Pili
Reposted by Arman Pili
Reposted by Arman Pili
Reposted by Arman Pili
#ESAus2024
Reposted by Ross N. Cuthbert, Arman Pili
In our latest study, we used EICAT to uncover the severity and mechanisms of these impacts. Tools like EICAT are essential for understanding these challenges and driving effective conservation efforts. #InvasiveSpecies
rdcu.be/d2uxe
Reposted by Olivier Giménez, Bernd Lenzner, Céline Bellard , and 1 more Olivier Giménez, Bernd Lenzner, Céline Bellard, Arman Pili
Check the paper: onlinelibrary.wiley.com/doi/10.1111/...
With C. Bellard @celinebellard.bsky.social, B. Leroy, and G. Latombe
Reposted by Arman Pili
dx.doi.org/10.1111/raq....
Avec Elena Manfrini & @bleroyecology.bsky.social