Michele Torresani
@micheletorresani.bsky.social
500 followers 350 following 21 posts
Vegetation, Forests, Biodiversity, Spatial ecology, Remote Sensing and climbing. Assistant professor at the Free University of Bolzano-Bozen https://scholar.google.com/citations?user=A6LNYOYAAAAJ&hl=it&oi=ao
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micheletorresani.bsky.social
🚨 New research paper! 🌸🐝 UAV RGB + machine learning detect flowers as an indirect proxy for bee abundance—fast, scalable & eco-friendly! www.sciencedirect.com/science/arti...
micheletorresani.bsky.social
#MAP-Rezia data collection is almost done! 🌺🌱 Thanks to @sonja, Angel & @gianmariabonari.bsky.social for completing botanical surveys between Stelvio & Swiss NP using the #ORCHAMP protocol. Now collecting remote sensing data✈️📡🛰️—will we detect the same biodiversity? Stay tuned for more…
micheletorresani.bsky.social
Look who visited our biodiversity plots! 🦊These pics come from our camera traps in Switzerland, part of the ORCHAMP network we’re using in the MAP-Rezia project to monitor biodiversity between Stelvio and the Swiss National Park.
Can we spot the same wild animals using Earth observation?🛰️Stay tuned!
micheletorresani.bsky.social
Just 2 weeks after setting up plots & camera traps, we’ve got our first visitor! In #MAPRezia (Interreg Italia–Svizzera lnkd.in/eWv5FtPN) we map biodiversity in all forms—plants, trees, and wildlife—using field & remote sensing data. More to come this summer! 🌲🛰️
micheletorresani.bsky.social
🌿 Field season has officially started for MAP-Rezia project!
Great to finally meet all partners in the forest instead of just on screen! We kicked off our data collection, discussed next steps, and set the ground for linking what we see on the ground🌲 with remote sensing data🛰️
micheletorresani.bsky.social
Have you ever thought outside the box and created fuzzy maps? 🗺️

Our study, led by Emilia Pafumi, shows how fuzzy classification offers a more realistic approach to habitat mapping using high-res satellite imagery🛰️ www.sciencedirect.com/science/arti... #biodiversity #remotesensing #ecology #mapping
Fuzzy approaches provide improved spatial detection of coastal dune EU habitats
Mapping habitats on coastal dunes, crucial yet highly vulnerable ecosystems, requires objectivity and repeatability, which are still lacking in the im…
www.sciencedirect.com
Reposted by Michele Torresani
unibz.bsky.social
La guerra in #Ucraina ha un impatto drammatico anche sull’ambiente. @micheletorresani.bsky.social, ricercatore di #unibz, in collaborazione con #unibo, ha sviluppato un sistema di allerta precoce per stimare la perdita di superficie forestale. Leggi di più: www.unibzmagazine.it/en/magazine/...
L’AI in difesa delle foreste dell’Ucraina
Un sistema di allerta precoce basato sull’intelligenza artificiale rivela una massiccia perdita di foreste in Ucraina durante la guerra.
www.unibzmagazine.it
micheletorresani.bsky.social
Just returned from the @esa.int #biospace25 conference hold in Frascati-Rome where I present my research on the link between different aspects of #biodiversity and vegetation height heterogeneity, assessed through remote sensing data 🌲 🛰️
If you missed my talk you can find it here: lnkd.in/eNxqeuMc
micheletorresani.bsky.social
in collaboration with: @unibz.bsky.social, @euracalpenv.bsky.social, @marco-mina.bsky.social, Roberto Tognetti, Luca Corlatti, Luca Pedrotti, Christian Rossi, Sebastian Marzini.
micheletorresani.bsky.social
🌿 Kick-off for the #MAP-Rezia Project! 🌿
Excited to launch MAP-Rezia (~€1M, #InterregItaliaSvizzera) to monitor biodiversity in #ParcoNazionaledelloStelvio & #SchweizerischerNationalpark! We'll use remote sensing to map ecosystems, track herbivores & assess forest scenarios under climate change. 🚀🌍
Reposted by Michele Torresani
rupertseidl.bsky.social
iLand is the first forest landscape model to explicitly simulate forest microclimate. Why? Because microclimate effects propagate across scales and influence important processes such as decomposition, regeneration and bark beetle development. Read more in Braziunas et al. doi.org/10.1007/s109...
Microclimate temperature effects propagate across scales in forest ecosystems - Landscape Ecology
Context Forest canopies shape subcanopy environments, affecting biodiversity and ecosystem processes. Empirical forest microclimate studies are often restricted to local scales and short-term effects,...
doi.org
Reposted by Michele Torresani
jlembrechts.bsky.social
Not all fieldwork pictures are equally breathtaking... The pictures I got from master student Sarane reading out
#microclimate sensor data from the cliffs of Freyr might just be what you needed to want to join MIREN's rock survey...

the3dlab.org/2025/02/03/s...
Sensors with a view
Not all fieldwork pictures are equally breathtaking. While part of our team waded through the muddy mud of De Driehoek – one of our university campus’s last patches of nature – an…
the3dlab.org
micheletorresani.bsky.social
Have you ever thought using #LiDAR from mobile, terrestrial, and spaceborne #GEDI combined with optical and radar satellite data #Copernicus, to characterize #forest structural complexity?🌲🛰️ We did! Check out this paper, led by Patrick Kacic www.sciencedirect.com/science/arti...
Characterizing local forest structural complexity based on multi-platform and -sensor derived indicators
Global climate change, biodiversity decline, and increasing disturbances are challenging the health and resilience of forests. In this regard, forest …
www.sciencedirect.com
micheletorresani.bsky.social
During the war in Ukraine, alongside the devastating loss of human lives, vast areas of forests have also been destroyed. In this new paper we estimated this forest loss using AI and remote sensing data🌲📡 #forest #war #Ukraine #remotesensing #Landsat

www.sciencedirect.com/science/arti...
micheletorresani.bsky.social
Excited to share I’ve joined the Editorial Board of Community Ecology (Springer: link.springer.com/journal/42974)! 🌍📖
Looking forward to contributing to its mission and promoting impactful work, especially bridging ecological research with remote sensing technologies 🌲🛰️
Community Ecology
Community Ecology, established by the merger of two ecological periodicals, Coenoses and Abstracta Botanica was launched in an effort to create a common ...
link.springer.com
Reposted by Michele Torresani
consbiogoe.bsky.social
New paper! Forest disturbance through drought, windthrow, pest outbreaks and fire is increasing in Europe, driven by past planting decisions and climate change. In Germany alone, more than 500,000 ha of mostly Spruce died back in 2018-2022. Led by Anne Graser, we studied biodiversity responses...
micheletorresani.bsky.social
I’m thinking of creating a new starter pack on "Remote sensing for forest biodiversity monitoring". I need at least seven others to join me—who’s interested?
Reposted by Michele Torresani
jefferybcannon.bsky.social
Ready to learn how to use LiDAR for research in #forestry and natural resources using #R? This week I am sharing our 7-part series on Bluesky to help you get started! Share with anyone you know who wants to get started. Part 1 covers acquiring, & viewing LiDAR data! bit.ly/lidR-module1
Reposted by Michele Torresani
markuseichhorn.bsky.social
Land-use change reduces bee diversity at local scales, but the impacts of agriculture and urbanisation differ at regional scales. Agriculture has more negative effects overall. onlinelibrary.wiley.com/doi/10.1111/... 🧪 🌏 🌐
(a) Map showing locations of 157 studies included, and the proportion of natural, agricultural, and urban habitats sampled within the study. Pie size is proportional to the number of sampled sites in each study, ranging from 1 to 368. The density plot indicates the distribution of the studied assemblages (n = 3117) along the latitudinal gradient. (b–d) Diversity changes relative to values of natural habitats, with each panel showing responses of one diversity metric: (b) α-, (c) β-, and (d) γ-diversity. Point estimates represent model predictions of each land use based on fixed effects only, while error bars are 95% confidence intervals. The estimations of α-diversity were obtained by holding other covariates at the mean or mode values. For β- and γ-diversity, the estimation reflects a standardized sampling study with all assemblages having 100% sampling completeness, and other covariates at the mean or mode values. Small letters above error bars indicate results from pairwise comparisons, with different letters representing different groups. *Indicates that the pairwise comparisons included marginally nonsignificant results (p = 0.06).
Reposted by Michele Torresani
physaliacourses.bsky.social
Hi all, Happy New Year🍾
If you want to start 2025 learning about LiDAR technology and its practical applications in ecology using R, do not miss this course with @micheletorresani.bsky.social

There is ONLY 1 seat left: www.physalia-courses.org/courses-work...