Grateful for the chance to present at #IDW2025 in Brisbane! 🌏
Loved sharing ideas on open ecological data and learning from so many inspiring minds.
Cheers to new insights and collaborations ahead! 🙌
#ardc
#FAIRScience #EcoCommons #OpenData
🌏 Excited to share I’ll be presenting about how FAIR ecological modelling, open, reproducible workflows making impacts for conservation at International Data Week 2025!
📅 13–16 Oct | Brisbane
🔗 internationaldataweek.org
#IDW2025 #EcoCommons #FAIRScience #OpenData #Biodiversity
🚨 Australia’s most elusive grassland bird — the #PlainsWanderer 🐦🌾 — is losing its last refuges.
We modelled its future under climate change. Are these safe?
Full story & maps:
🔗 www.linkedin.com/posts/abhirs...
#ActForBiodiversity #ConservationScience #EcoCommons
@qcif
@ardc.edu.au
@GregTasney From September 2024, Gossia punctata—commonly known as the dotted myrtle—has been reclassified from "Least Concern" to "Critically Endangered" under Queensland's Nature Conservation Act 1992. This small rainforest tree, native to southeastern Queensland and northeastern New South Wales, faces significant threats from habitat loss and the pervasive spread of hashtag#MyrtleRust. In response to it's conservation concern and spread awareness, I have initiated a Species Distribution Model (hashtag#SDM) for G. punctata using occurrence data from the GBIF: The Global Biodiversity Information Facility (https://lnkd.in/gqsFPPJE) The goal is to identify current and potential habitats to inform conservation strategies. 🌱 Conservationist Greg Tasney has also raised hashtag#awareness about the urgent need to protect Gossia punctata, highlighting its recent reclassification and encouraging hashtag#conservation action across hashtag#Queensland. (https://lnkd.in/gfEerxtQ) 🔍 Call to Action: Let’s collaborate to safeguard the future of Gossia punctata. ⚠️ Disclaimer: This model was built using hashtag#GBIF hashtag#species occurrence records by N. Snow and Guymer and bioclimatic variables at a ~250m spatial resolution (current climate baseline: 1976–2005, ~9 arcseconds). It was generated on the EcoCommons Australia platform using the default algorithm configurations set by a peer-reviewed national scientific advisory panel.
Predicted habitat suitability (current): Highlights potential suitable zones inland of Brisbane based on MaxEnt output.
Response Curves: Illustrates how each bioclimatic variable influences predicted suitability across temperature and precipitation gradients. - BIO10 (Mean Temperature of Warmest Quarter) showing a strong drop in suitability beyond ~24°C. - BIO12 (Annual Precipitation) showing increasing suitability with higher rainfall. - BIO16 (Precipitation of Wettest Quarter) - BIO17 (Precipitation of Driest Quarter) confirming the species' reliance on seasonal moisture availability.
ROC Curve: Model performance evaluation with AUC = 0.94, showing high predictive strength of the model.
🌿 Spotlight on #GossiaPunctata: From Least Concern to Critically Endangered
Using GBIF data + bioclim layers, I mapped its habitat via #EcoCommons. AUC 0.94 shows high model reliability. Response Curves give insights on Climate data. Let’s act to protect this species. #Biodiversity#SDM@ardc.edu.au
🌏 One platform. All the tools.
Australia + global. Climate + species.
Model with #MaxEnt, compare with #GLM, #GAM, #RF & more.
Use #RCPs, #SSPs, your own #GCMs.
Code-ready, shareable, supported.
And yes — it’s #opensource 🔓
🔗 ecocommons.org.au
Thanks @ardc.org.au and QCIF 🙌
#EcoCommons #OpenScience
