Enrico Tomelleri's Avatar

Enrico Tomelleri

@etomelleri.bsky.social

Scientist, interested in forest ecology.

161 Followers  |  370 Following  |  11 Posts  |  Joined: 11.11.2024  |  1.8836

Latest posts by etomelleri.bsky.social on Bluesky

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#57 – Der Forstdirektor: Wie gut der Südtiroler Wald für die Zukunft gerüstet ist In dieser Folge von „Zuaglost“ spricht Günther Unterthiner, Leiter der Abteilung Forstdienst, über die aktuellen Herausforderungen und Chancen für Südtirols Wälder. Wir beleuchten die Folgen von Sturm...

zuaglost.podigee.io/59-wald

12.09.2025 12:14 — 👍 0    🔁 0    💬 0    📌 0
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Bark beetle predisposition assessed via EO 🛰️ in the eastern Alps.

- NDWI was the most consistent predictor; downslope index and canopy structure (GEDI) added value.
- Models transferred well across South Tyrol, supporting regional risk mapping.

doi.org/10.1093/fore...

04.08.2025 19:16 — 👍 0    🔁 1    💬 0    📌 0
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Five years after VAIA:

– Norway spruce dominates regeneration (67%), but only 26% of plots meet targets.
– Browsing affects 25% of seedlings, especially Rowan, Willow, and Silver fir.

Management should promote species diversity and control browsing.

doi.org/10.1016/j.fo...

04.08.2025 18:54 — 👍 5    🔁 2    💬 0    📌 1
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The first-ever eLTER Science Conference offered an inter- and transdisciplinary scientific program with a holistic approach, including:
* Keynote talks
* Oral and poster presentations
* Workshops, both scientific and artistic
#eLTERcommunity 🌍 #eLTER2025SC

27.06.2025 11:01 — 👍 7    🔁 2    💬 0    📌 0
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Field excursion "From Tree to Plank". Master Course in Environmental Management of Mountain Areas #EMMA. 4th edition. #Latemar @unibz.bsky.social

07.06.2025 18:22 — 👍 2    🔁 1    💬 0    📌 0
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im Mai 2025 hat die Co2-Konzentration in unserer Atmosphäre einen Anteil von 430ppm (Parts per million) erreicht - das ist der höchste Wert seid mindestens 1 Million Jahre.

01.06.2025 09:07 — 👍 221    🔁 89    💬 15    📌 8
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The project ForMicroClim kicked-off with the support of pangeos.eu @professorshawn.bsky.social

25.05.2025 12:06 — 👍 1    🔁 0    💬 0    📌 0

🚨 few days left to apply 🚨

01.04.2025 19:39 — 👍 0    🔁 0    💬 0    📌 0
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Robot zoomorfi, droni, IA e mappe 3D per il monitoraggio delle foreste Un progetto di ricerca internazionale utilizza nuove tecnologie per monitorare con precisione le foreste e utilizzare i dati raccolti per combattere il cambiamento climatico.

#Robot zoomorfi, #droni, #intelligenzaartificiale e mappe #3D, tutto insieme per il #monitoraggio #sostenibile delle #foreste. Questi gli ingredienti di un complesso di progetti avveniristici in collaborazione con altri atenei europei. #AltoAdige Leggi di più: www.unibzmagazine.it/en/magazine/...

20.03.2025 15:10 — 👍 1    🔁 2    💬 0    📌 0
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Gli alberi da frutto antichi raccontano la storia climatica dell’Alto Adige Studiando gli anelli di accrescimento di alberi quasi centenari i ricercatori di unibz hanno rilevato l’adattamento di meli e peri ai cambiamenti climatici in Alto Adige.

Uno studio effettuato dai ricercatori di #unibz mostra come l’analisi degli isotopi di #carbonio e #ossigeno apra un varco nel passato, permettendo di valutare come le piante da frutto abbiano risposto ai #cambiamenticlimatici. Leggi di più: www.unibzmagazine.it/en/magazine/... #altoadige

26.03.2025 09:06 — 👍 2    🔁 1    💬 0    📌 0
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Open call for a 3-year junior university researcher (full time, RTDa) at unibz on biodiversity and remote sensing (deadline 03.04.2025): tinyurl.com/4495as8u

12.03.2025 15:58 — 👍 1    🔁 0    💬 1    📌 0
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Last field campaign before winter? UAS tree crowns sampling in Renon-Selvaverde 🌲🌲🌲 #IT-Ren @icos-ri.eu #ICOS-Italy #Agritech

02.12.2024 15:54 — 👍 0    🔁 0    💬 0    📌 0
Improper data practices erode the quality of global ecological databases and impede the progress of ecological research

The scientific community has entered an era of big data. However, with big data comes big responsibilities, and best practices for how data are contributed to databases have not kept pace with the collection, aggregation, and analysis of big data. Here, we rigorously assess the quantity of data for specific leaf area (SLA) available within the largest and most frequently used global plant trait database, the TRY Plant Trait Database, exploring how much of the data were applicable (i.e., original, representative, logical, and comparable) and traceable (i.e., published, cited, and consistent). Over three-quarters of the SLA data in TRY either lacked applicability or traceability, leaving only 22.9% of the original data usable compared with the 64.9% typically deemed usable by standard data cleaning protocols. The remaining usable data differed markedly from the original for many species, which led to altered interpretation of ecological analyses. Though the data we consider here make up only 4.5% of SLA data within TRY, similar issues of applicability and traceability likely apply to SLA data for other species as well as other commonly measured, uploaded, and downloaded plant traits. We end with suggested steps forward for global ecological databases, including suggestions for both uploaders to and curators of databases with the hope that, through addressing the issues raised here, we can increase data quality and integrity within the ecological community.

Improper data practices erode the quality of global ecological databases and impede the progress of ecological research The scientific community has entered an era of big data. However, with big data comes big responsibilities, and best practices for how data are contributed to databases have not kept pace with the collection, aggregation, and analysis of big data. Here, we rigorously assess the quantity of data for specific leaf area (SLA) available within the largest and most frequently used global plant trait database, the TRY Plant Trait Database, exploring how much of the data were applicable (i.e., original, representative, logical, and comparable) and traceable (i.e., published, cited, and consistent). Over three-quarters of the SLA data in TRY either lacked applicability or traceability, leaving only 22.9% of the original data usable compared with the 64.9% typically deemed usable by standard data cleaning protocols. The remaining usable data differed markedly from the original for many species, which led to altered interpretation of ecological analyses. Though the data we consider here make up only 4.5% of SLA data within TRY, similar issues of applicability and traceability likely apply to SLA data for other species as well as other commonly measured, uploaded, and downloaded plant traits. We end with suggested steps forward for global ecological databases, including suggestions for both uploaders to and curators of databases with the hope that, through addressing the issues raised here, we can increase data quality and integrity within the ecological community.

1/ Important read for anyone using, contributing, or building large databases by aggregating data sources. Discusses issues with data quality, duplication, credit attribution, etc, and includes recommendations for improvement

doi.org/10.1111/gcb.... #ecopubs

29.11.2024 11:01 — 👍 99    🔁 39    💬 4    📌 4
Trust and Integrity in Research: Clarivate Removed Highly Cited Biochar Researchers AbstractThe integrity of research is increasingly under scrutiny, as unethical practices challenge the credibility of global academic systems. The Highly Cited Researchers (HCR) list by Clarivate reco...

Trust and Integrity in Research: Clarivate Removed Highly Cited Biochar Researchers www.authorea.com/users/571220...

29.11.2024 11:52 — 👍 1    🔁 1    💬 0    📌 0
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New experiments starting at IT-Ren #ICOS #ICOS-Italy #unibz

23.11.2024 18:45 — 👍 1    🔁 0    💬 0    📌 0
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Pre-Winter ❄️ maintenance 🔧 and recovery of damaged devices #ITTNET #unibz #BarkBeetle 🌲

23.11.2024 18:18 — 👍 0    🔁 0    💬 0    📌 0
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"Free as in Speech, Not Free as in Beer": www.icos-cp.eu/how-to-cite

18.11.2024 08:48 — 👍 2    🔁 0    💬 0    📌 0

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