iiinova — where your digital self keeps evolving

Reposted by Davide Mirante

Luca Santini @lsantinieco.bsky.social · 19/05/2026

What is the relationship between population density and home range? and what are the implications in terms of home range overlap? Our latest paper tackling these questions is finally out! nsojournals.onlinelibrary.wiley.com/doi/10.1002/... @giannijacca.bsky.social @marleetucker.bsky.social

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Reposted by Davide Mirante

Luca Santini @lsantinieco.bsky.social · 25/04/2026

🚀 TetraDENSITY now has a dedicated web app! Explore the dataset interactively, filter by taxa 🐾, country 🌍 & more. Generate descriptive stats 📊 (overall or subsets), download data 💾 in seconds, and flag missing data or errors ⚠️ Dive in and have fun 🎉 andrewzamp.github.io/TetraDENSITY

andrewzamp.github.io

TetraDENSITY - A Global Database of Tetrapod Population Density Estimates

Official interactive explorer and publication page for TetraDENSITY, with global tetrapod population density data.

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Reposted by Davide Mirante

Andrea Zampetti @andrewzampetti.bsky.social · 17/02/2026

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

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.

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Davide Mirante @davidemirante.bsky.social · 28/03/2026

I never got used to Rome, apparently neither did some birds! In our last work, we investigated how anthropogenic and environmental gradients shape avian assemblages with different tolerance to urbanization in Rome. Link: doi.org/10.1007/s109... #Ornithology #UrbanEcology #Ecology #Biodiversity 🌐

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Reposted by Davide Mirante

Lyn Heideman @heidelyn.bsky.social · 13/09/2025

The BirdCast forecast map shows migration is very active tonight along the Mississippi and Atlantic Flyways. How? BirdCast analyzes data from weather radars to separate bird migration from other activity: non-biological (rain, hurricanes, etc.) and other biological (bats, insects).

The map shows the forecast for bird migration on the night of September 12, 2025. Note that activity is highest along the Mississippi and Atlantic Flyways and that the birds are avoiding the storms along the Central Flyway.

Bird migration forecasts show predicted nocturnal migration 3 hours after local sunset and are updated every 6 hours. These forecasts come from models trained on the last 23 years of bird movements in the atmosphere as detected by the US NEXRAD weather surveillance radar network. In these models we use the Global Forecasting System (GFS) to predict suitable conditions for migration occurring three hours after local sunset. These maps also show precipitation forecasts (outlined and shown in grayscale). Note, areas forecast to experience precipitation and bird migration may overlap, and predictions for migration intensity may be highly variable in these locations.

Colorado State University and the Cornell Lab of Ornithology currently produce these forecasts. Leon Levy Foundation, Edward W. Rose Postdoctoral Fellowship, and the Marshall Aid Commemoration Commission supported this research, with additional support from University of Massachusetts Amherst and University of Oklahoma. The BirdCast project was created with grant awards from the National Science Foundation and subsequently supported by awards from Leon Levy Foundation.

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Reposted by Davide Mirante

Luca Santini @lsantinieco.bsky.social · 21/05/2025

The first paper of the "Urbis project" focusing on the urban ecosystem of Rome is out in Urban Forestry & Urban Greening! Here we characterize the urban landscape and propose a multiscale framework to better support urban biodiversity research and planning doi.org/10.1016/j.la...

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Davide Mirante @davidemirante.bsky.social · 03/01/2025

Yeah, we get it—humans stress out wildlife 🐾. But how much? Do they find us insufferable equally? Not quite! Our meta-analysis explores how taxa, species traits, and disturbance type shape terrestrial vertebrates' glucocorticoid responses to human disturbance. Check it out! doi.org/10.1111/1365...

doi.org

Glucocorticoid responses of wildlife to anthropogenic stressors are influenced by disturbance type and species traits

Read the free Plain Language Summary for this article on the Journal blog.

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Reposted by Davide Mirante

Roland Kays @rolandkays.com · 17/11/2024

Real nice paper estimating density of rainforest animals w camera traps & comparing w secr & line transects. Great job thinking through all the details of these models. Community density estimates possible w cams but need >25 detections for decent precision link.springer.com/article/10.1...

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Reposted by Davide Mirante

Luca Santini @lsantinieco.bsky.social · 18/11/2024

🚨 New release: TetraDENSITY 2.0 database now features 54,300 population density estimates for 3,717 species of tetrapods! 🌍🐸🦎🦉🦧 Now also including marine species 🐋 check it out at doi.org/10.1111/geb....

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Reposted by Davide Mirante

Society for Conservation Biology @society4conbio.bsky.social · 20/11/2024

✨The Call for Abstracts for #ICCB2025 is now open!✨ We’re excited to invite conservationists, scientists, and practitioners from around the world to share their research and insights in Meanjin/Brisbane, Australia in June. Learn more: conbio.org/mini-sites/i... #conservation #MarineLife 🌍

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Reposted by Davide Mirante

Andrea Zampetti @andrewzampetti.bsky.social · 03/12/2024

Can AI improve #cameratrap studies? Our study in @methodsinecoevol.bsky.social shows how #machinelearning can enhance wildlife surveys by automating species detection & classification and enabling unbiased density estimates 📷🦌. Check it out! ⬇️ besjournals.onlinelibrary.wiley.com/doi/10.1111/...

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Reposted by Davide Mirante

Global Ecology 🌐 @global-ecology.bsky.social · 13/12/2024

Great worflow and R package for any one working of ecological trait database !! by Elizabeth Wenk et al. in Ecological Informatics Nov. 2024 www.sciencedirect.com/science/arti... 🧪🌐🌍

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Davide Mirante @davidemirante.bsky.social · 10/12/2024

Tough subject and some tough luck, but a far tougher team! Indeed a great collaboration, and I'm genuinely grateful for the unwavering support of @anabenlop.bsky.social, @lsantinieco.bsky.social, and David Costantini throughout every step of this study. Updates on the paper soon!

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Davide Mirante @davidemirante.bsky.social · 28/11/2024

Wildlife hates noisy neighbors as much as I do! Thrilled to announce my first paper, published online in GECCO! We explore how wildlife adjusts its spatio-temporal niche in the short term, to cope with human presence. Read it here! 👉https://doi.org/10.1016/j.gecco.2024.e03053

doi.org

Redirecting

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Reposted by Davide Mirante

Davide Serva @daviser95.bsky.social · 26/11/2024

I made this starter pack to connect all early career researchers (ECR) interested in conservation biology topics! 🌍🌱🐼 If you would like to be added DM me or comment! 🔊 Let's grow it to increase connections 🌐 go.bsky.app/KXiSj3j #ConservationBiology #EarlyCareerResearchers #Conservationists

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