Arman Pili
@armanpili.bsky.social
110 followers 200 following 13 posts
🧑🏽‍🔬 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 🐸
Posts Media Videos Starter Packs
Reposted by Arman Pili
armanpili.bsky.social
Today was my first day as a Research Associate 🤓 at @fletcherecology.bsky.social group in the @camzoology.bsky.social University of Cambridge!!! Looking forward to mapping global connectivity 👣🏞🌍 and its applications for biodiversity conservation and restoration 🦏🌿!!!
armanpili.bsky.social
🚀 What’s next?
We’re applying this method to 600+ alien amphibians and reptiles 🦎🐸 to map their global invasion potential & understand global biotic homogenization 🌍
(8/8)
armanpili.bsky.social
🔧 Our fix:
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)
armanpili.bsky.social
💥 What went wrong?
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)
armanpili.bsky.social
🎯 The scenario:
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)
armanpili.bsky.social
✅ The Solution:
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)
armanpili.bsky.social
🧩 The Problem:
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 Arman Pili
gbif.org
GBIF @gbif.org · Mar 5
We're looking for the input of IAS data collectors, users or curators to take part in a survey to help shape the future of IAS data standards and accessibility.

This survey is hosted by the GBIF and @tdwg.org task groups on IAS ⭐

🔗www.surveymonkey.com...
bright green and blue wasp
Reposted by Arman Pili
oikosjournal.bsky.social
The loss of megafauna over the last 50,000 years has caused ecological theories to be based on already-degraded ecosystems.

https://doi.org/10.1111/oik.11134

#Megafauna #Coexistence #Megaherbivore #ShiftingBaselineSyndrome #CommunityEcology #LargeHerbivore
Reposted by Arman Pili
thenaturedave.bsky.social
My final PhD chapter published in FEE (Frontiers in Ecology and the Environment): re-mapping Köppen-Geiger climate zones, but now using microclimate! Very excited to have this one out:
onlinelibrary.wiley.com/doi/abs/10.1...
armanpili.bsky.social
Not too late for the afterparty 💜💜💜
Reposted by Arman Pili
gbif.org
GBIF @gbif.org · Dec 20
🔎🌱 Are you a #biodiversity data holder located in Asia?

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-...
green graphic with biological drawings that reads 2025 virtual biodiversity data mobilization workshop in asia
armanpili.bsky.social
It finally happened: my future #student #mentee asked me about my paper that I led and #published years ago (my first first-author paper), only to apologise that I forgot what I did in that #paper, nor do I have a copy of it in my computerS (it is under paywall).

#academia #science
Reposted by Arman Pili
alexsla.bsky.social
Important reminder by @chapplelab.bsky.social - data deficient / not evaluated species should be treated the same as threatened, and they are more likely to be threatened than not
#ESAus2024
Reposted by Arman Pili
Reposted by Arman Pili
martin-nunez.bsky.social
“There needs to be more emphasis on the ecological component of One Health as we consider the problems of biodiversity loss, climate extremes, habitat fragmentation, and emerging disease”https://www.pnas.org/doi/10.1073/pnas.2413367121