Nicolò Anselmetto
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nico-anselmetto.bsky.social
Nicolò Anselmetto
@nico-anselmetto.bsky.social

🌲⛰️ Post-doc in Forest Landscape Ecology @ university of Torino (🇮🇹)
🎧🎸 Also like to listen to music and play guitar

Environmental science 70%
Geography 20%

Lago delle Streghe - Alpe Veglia and Alpe Devero Natural Park; Baceno (VB, Italy)
Amazing memories from June 2021 surveys in the Italian Alps hunting for treelines.

Abandoned terraces above Locarno, Switzerland.
As the new forests take over old dry-stone walls, the remaining of dead chestnuts still mantain some protective function. Land abandonment here means changing landscapes and unstable slopes.

a great collaborative effort for what was the last chapter of my PhD

Reposted by Nicolò Anselmetto

#CallForAbstracts‼️#EGU26 session BG3.11 "Natural forest expansion under global change: assessing causes and consequences in time and space"

🌳 Possible Topics:
• Biodiversity
• Landscape dynamics
• Socio-economic implications

🔗 Info & submission link: www.geo.lmu.de/geographie/e...
EGU26: Call for Abstracts
Uta Schirpke is co-hosting a session on
www.geo.lmu.de

Reposted by Nicolò Anselmetto

Mountain treelines have moved upward 20.2 m on average since the 1980s; this upward shift is more pronounced in the tropics than in temperate regions: bg.copernicus.org/articles/22/...
Geographic patterns of upward shifts in treeline vegetation across western North America, 1984–2017
Abstract. Previous research has shown that (1) treelines are shifting upward in elevation on high mountain peaks worldwide, and (2) the rate of the upward shift appears to have increased markedly in r...
bg.copernicus.org

Reposted by Nicolò Anselmetto

Long-term data result in more reliable species distribution models. Perhaps expected, but nice to see it quantified formally! Thanks @nico-anselmetto.bsky.social for leading this effort at the HJ Andrews LTER. @uslter.bsky.social 🧪
besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Leveraging long‐term data to improve biodiversity monitoring with species distribution models
To our knowledge, this is the first empirical study to demonstrate the benefits of long-term dynamic SDMs with spatially matched predictor variables. If predicting the future of biodiversity under la...
besjournals.onlinelibrary.wiley.com

Reposted by Nicolò Anselmetto

🌲🌳Paper alert: “Species distribution models built with local species data perform better for current time, but suffer from niche truncation”

A huge effort by @nico-anselmetto.bsky.social
Data provided by #ARPAPiemonte and #IPLA

www.sciencedirect.com/science/arti...