Nikola Besic

@nikobesic.bsky.social

Remote sensing🛰️ Spatial modeling🗺️ C cycle🌲 Randonnée🥾 Vélo🚲 Théâtre🎭 📍 LIF - Géodata Paris / French Mapping Agency + info ➡️ https://nbesic.github.io

🔴 Ce mardi est la journée la plus chaude jamais enregistrée en France. Le thermomètre est même monté à 44,3 °C à Pissos (Landes). De nombreuses villes ont connu des valeurs inédites, tous mois confondus (et nous ne sommes qu'en juin...), notamment 42,1 °C à Bordeaux. [valeurs provisoires 17h]

La France vient de connaître sa journée la plus chaude jamais enregistrée : ce 23 juin 2026, l'indicateur thermique national a atteint 29,8 °C (valeur provisoire à 17h).

🚀 Proud to be part of the team behind this work, opening the door to more explicit integration of wood density variation in AGB assessment, grounded in remarkable field measurements from the XyloDenseMap experiment. 🪵 bg.copernicus.org/articles/23/...

Wood density variation in European forest species: drivers and implications for multiscale biomass and carbon assessment in France

Abstract. Wood density is a key parameter for estimating forest biomass and carbon stocks. However, the magnitude and the drivers of wood density variation in temperate forests, and the implications of this variation for biomass and carbon assessments, are not well understood. This study provides a comprehensive analysis of wood density variation in trees of western temperate Europe and evaluates its impacts on forest aboveground biomass (AGB) estimates at multiple spatial scales. From an initial dataset comprising wood density measurements from 110 763 individual trees, representing 156 species across mainland France, we analysed a subset of 44 species accounting for 97 % of the growing stock and providing sufficient observations for modelling. We developed linear models of wood density based on tree, stand, site, and climatic variables, and successively examined the contributions of taxonomic identity, environmental factors and their interactions. We also constructed a model using variables potentially accessible through spatial layers (i.e., GIS-based data) at broad scales and fine resolutions, to assess their predictive capacity. Models were applied to French National Forest Inventory (NFI) data to estimate AGB across four spatial scales: the national level, biogeographical regions and subregions (both delineated through biophysical partitioning of the territory) and individual NFI plots. Our analysis revealed that variation in wood density stemmed primarily from interspecific differences (78.6 % of the total variance), with the remaining 21.4 % attributable to intraspecific variability. Our best performing model – combining variables on species identity, tree dimensions (such as diameter at breast height and total height), stand structure, site conditions and climate – explained 82 % of total wood density variation. It captured only a modest portion of intraspecific variability of wood density, which was found to be mainly driven by tree dimensions and mean annual temperature. In contrast, the model relying solely on environmental factors and the one based on GIS-layer variables accounted for 17 % and 31 % of the variation in wood density, respectively. While accounting for wood density variation had minimal impact on national-scale AGB estimates, it caused deviations of up to 30 % at finer scales, such as biogeographical subregions and individual NFI plots. These findings highlight the importance of incorporating wood density variation into forest biomass and carbon assessment, especially at regional to local scales. Given its dominant role, we recommend integrating species identity as much as possible to enhance the accuracy of forest biomass and carbon stock assessment across spatial scales.

bg.copernicus.org

Very happy to be part of the team lead by P. Ciais behind a paper conveying an important message: investing BOTH in remote sensing developments and large-scale field-based monitoring protocols is essential to monitor, and hopefully preserve, the forest carbon sink in France. ➡️ lnkd.in/eQz4dhmT

An outlook on the rapid decline of carbon sequestration and perspectives for an improved monitoring of French forests

comptes-rendus.academie-sciences.fr

My PhD student Selim and I are looking for a motivated Master student to take on a pretty cool challenge: testing the NASA GEDI L4B biomass product across mainland France using a version of the algorithm Selim has been developing in his PhD -building on IGN’s LiDAR HD and NFI data. Pls share! :)

BildBild

Le réchauffement climatique n’est pas une « arnaque ». C’est un fait. Face aux nouvelles déclarations climatosceptiques de Donald Trump, les scientifiques du CNRS réagissent en rappelant les faits. 👉 www.cnrs.fr/fr/actualite...

Le réchauffement climatique n’est pas une « arnaque ». C’est un fait

Face à la nouvelle négation du changement climatique par Donald Trump, les scientifiques du CNRS réagissent en rappelant les faits et les leviers d’acti

cnrs.fr

La Journée mondiale de la mer est aujourd'hui. Pour l'occasion, un article grand public sur l'importance des océans dans le système climatique : - une augmentation de l'acidité - des extrêmes chauds + intenses et + chauds - un niveau qui ↗️ Avec des conséquences désastreuses 👇 tinyurl.com/bdcmx2hb

L’océan face au changement climatique | Météo-France

En absorbant la chaleur, l'océan a un important effet modérateur sur le climat et ses changements. Il est aussi particulièrement vulnérable au réchauffement climatique global et à l'augmentation du co...

tinyurl.com

Want to do a PhD in remote sensing? Interested in mountain forest ecosystems? Then apply for a PhD position in our lab! You will be part of the newly founded Centre for Forest Management in the Alps, working on scaling tree productivity from tree to landscape scale. Deadline 21st September.

BildBild

Interested in working with a fun and inspiring team? We are looking for a new PhD (mountain forest management) and PostDoc (forest adaptive capacity, w/ @juditlecinadiaz.bsky.social) Comes along with: 🧗🏻‍♀️ mountain/ sport buddies 🙃 good + bad jokes ☕️👬amazing social time 💭 great ideas and conversations

Rupert Seidl@rupertseidl.bsky.social · last yr.

Come work with us! We are looking to fill a PhD (mountain forest management) and PostDoc position (forest adaptive capacity, w/ @juditlecinadiaz.bsky.social). We'd be happy to have you as part of our dynamic team! PhD: www.lss.ls.tum.de/fileadmin/w0... PostDoc: www.lss.ls.tum.de/fileadmin/w0...

"La France ne s'adaptera pas à un réchauffement climatique de +4°C" Intervention magistrale de @cassouman40.bsky.social . Chaque phrase prononcée est précise et lourde de sens. Un discours lucide sur le service public qui mériterait d'être entendu de tous les Français.

Check out our preprint currently under review at Comptes Rendus. Géoscience - Sciences de la Terre (French Academy of Sciences). We examine the current state of the French forest carbon sink and discuss how to enhance carbon sink quantification in the near future. arxiv.org/abs/2505.11512

An outlook on the Rapid Decline of Carbon Sequestration in French Forests and associated reporting needs

In this study, we present and discuss changes in carbon storage in the French forests from 1990 to 2022, derived from CITEPA statistics on forest carbon accounting, fed by National Forest Inventory (N...

arxiv.org

Hi folks! Make sure to have a look at this cool work - it introduces a framework for producing 1.5 m-resolution canopy height maps across metropolitan France, opening the door to numerous exciting applications. @loicland.bsky.social @ciais-philippe.bsky.social

Imagine-ENPC@imagineenpc.bsky.social · last yr.

#CVPR2025 Fri June 13 (AM) ✨ Highlight 🌳 Open-Canopy: Towards Very High Resolution Forest Monitoring @loicland.bsky.social @lsce-ipsl.bsky.social 📄 pdf: arxiv.org/abs/2407.09392 🌐 webpage: github.com/fajwel/Open-...

Coucou 🎭 Pour celles et ceux qui n’ont pas réussi à nous voir en avril, on revient sur scène en juin : - le 13/6 à Malzéville, - le 14/6 à Toul, - le 25/6 à Laître-sous-Amance, - et le 26/6 de retour à la MJC Bazin (Nancy) :) [1/2]

Bild

Bonjour 🙂 On m’a proposé d’écrire un p'tit édito pour la ✉ biannuelle du labo… et disons que je me suis un peu laissé emporter par la 🖋. 😄 Je voulais donc vous partager cette petite réflexion – pas méga structurée, mais j’espère intéressante – sur les obs forestières à très haute résolution. 1/2

BildBild