Jonathan Lenoir 🌳🌲🌴
Senior researcher @CNRS (EDYSAN) @UPJV, Amiens, France #PhD in #forest #sciences 🌳🌲🌴 I study #biodiversity #plant #species #redistribution #microclimate #ecology #biostatistics #climatechange #BioShifts I don't wear 👨🔬 & never used a 🧪, yet I'm a scientist
- Carpet of flowering individuals of #Veronica #chamaedrys along hedgerows of #Oaks 🌳🌳 Look at the hairs clearly alligned on opposite sides of the stem ⬇️ Turn it 90° & the hairs are almost gone 😉
-
View full thread
- All living in a complex mix of light & shade beneath this amazing #Oak tube, with a lovely #microclimate, crossing agricultural fields & providing important ecosystem services for the neighbouring crops, somewhere in Picardy 🇨🇵
- Ferns are there too, like the shade tolerant #Dryopteris #felix-mas
- The magic #Cornus #sanguinea w/ the leave still holding in the hair when you tear it apart! Amazing, isn't it?
- Among grasses, the bright green & hairy #Brachypodium #sylvaticum
- Its fellow species are there too, like #Stellaria #holostea 😍
- Allometric equations underestimate woody volumes of large solitary trees outside forests #LSTOFs 🌳 We used terrestrial lidar scanning #TLS & scanned 215 #LSTOFs along rural to urban gradients across 9 🇪🇺 cities to assess their woody volumes 🧪🌐🍁 Below is one #LSTOF near Amiens 🇨🇵 shorturl.at/hEzfv
- Another nice contribution from the #CoolTree project @pieterdefrenne.bsky.social @kvanmeerbeek.bsky.social @fspicher.bsky.social @cnrsecologie.bsky.social @cnrs-hautsdefrance.bsky.social @upjv-univ.bsky.social @cnrs.fr
- In response to climate change #CC, #species #shift in many dimensions, moving in space along many climatic clines, including #microclimatic ones (horizontally & vertically) & adjusting their #phenology & #behaviour in time 🧪🌐🌍🍁🌳🌲🌴🦔🦅🦎🐝🦐🦑🐠🦈🐋 @cp-trendsecolevo.bsky.social shorturl.at/W9fGd
- Article sur les enjeux & impacts de la #migration #assistée d'essences forestières en réponse au #CC 🌡📈 Article paru dans la revue Géomètre, n°2235, Mai 2025, pp 35-37 🌳🌲🌍🌐🧪
- A very important study just published in #Ecology #Letters on the range expansion dynamics of 🇪🇺 bats 🦇 in response to climate change 🌡📈 The authors developed a unique ecophysiological model that integrates metabolic rates, physiological states & environmental conditions 🧪🌐🌍🇪🇺🦇 shorturl.at/NeBUv
- We monitored air 🌡 & vapour pressure deficits below the crown of >200 large solitary trees #LSTs 🌳 along rural-to-urban gradients for 3 tree species (oak, ash, and lime) across 9 European cities 🏫 We found that #LSTs shape their own species-specific microclimate to host 🐝🦋🐿🦇🌾☘️🌻🌼 shorturl.at/3xPRd
- #CoolTree project on the benefits of large solitary trees #LSTs & trees outside forests #TOFs in rural & urban landscapes: cultural heritage values, regulating services & local refugia @pieterdefrenne.bsky.social @kvanmeerbeek.bsky.social @karen-depauw.bsky.social @fspicher.bsky.social 🌐🌍🍁
- Notre réseau thématique sur les #Forêts en transformation #FORTRAN est sur la 🕸🌳😃 & le programme détaillé des journées de lancement (17-18/06) aussi, placées sous le signe de l'interdisciplinarité : climatologues, écologues, généticiens, biologistes, historiens, économistes, etc. shorturl.at/mP8Yf
-
View full threadDe nombreux instituts du #CNRS et de nombreux biomes forestiers seront représentés (voir la carte interactive sur le site fortran.cnrs.fr) ⬇️🌍🌐🌳🌲🌴🍁🍃
- Avec le soutien du #CNRS Ecologie & Environnement @cnrsecologie.bsky.social @cnrs-hautsdefrance.bsky.social
- Téléchargez le programme détaillé pour plus de détails sur les interventions, dont Christophe Cassou, co-auteur du #GIEC, Jérôme Chave, membre de l'Académie des #Sciences, Alexa Dufraisse, du #MNHN @cassouman40.bsky.social @academiesciences.bsky.social @alexa-dufraisse.bsky.social
- Georges Kunsler, de #INRAE, Erwan Hingant, du #LAMFA et Thimothée Fouqueray du #LETG @inrae-france.bsky.social @upjv-univ.bsky.social @cnrs.fr
- 🚨 Stat tips 🚨 Are you aware of the regression to the mean #RTM effect? This artefact is often overlooked in #ecology & especially in biodiversity resurveys 🌳🍄🦔🦅🦎🦋🐝🐞 It basically shows up each time you investigate changes between 2 time events: t2 vs t1 Let me unfold it for you 🧵
-
View full threadAnd in case you need to read & learn more on the #RTM effect, in vegetation science in particular, I really recommend you to read this amazing paper ⬇️ shorturl.at/5oo0H
- Just for some context & why I do insist on this here, the last 2 papers I have reviewed recently overlooked the #RTM effect
- It does not necessarily mean that baseline conditions cannot have a biologically meaningful impact on the magnitude of change between t1 & t2, but then it is necessary to test whether the slope of this relationship between t2-t1 & t1 significantly differs from what you would expect just by chance
- That is why we need to build & use null models in ecology 😃 It helps us assess the strength of a pattern which could be observed just by chance! That is exactly what we have been doing in a study on mountain plant species range shifts in response to climate change ⛰️☘️🌡📈🌐🌍 shorturl.at/nAs4f
- If we run a linear model linking the change over time (t2-t1) against the baseline conditions at t1, we find a clear negative relationship: this is the #RTM effect ⬇️ If we scale the baseline conditions in the model, we can see that the intercept does not differ from zero close to the mean at t1
- So, even if the model detect a relationship between the change over time (t2-t1) & the baseline conditions at t1, this effect has no ecological meaning here & it just happens by chance 🤯
- The idea of the #RTM is that each time you measure a variable a 2nd time, the most extreme values (highest & lowest) at t1 will likely be less extreme at t2 and get closer to the mean 🧐 Analysing the paired differences (t2-t1) will systematically lead to a correlation w/ the conditions at t1
- Let say you want to track the upper elevation limit of a set of 💯 species along an elevation gradient ranging from 1265 m a.s.l. & 3675 m a.s.l. ⛰️ Let's make it simple in #R: draw 2 times, at t1 & t2, 100 values from a uniform distribution & plot the data ⬇️
- [Not loaded yet]
- Looks pretty cool 😃 Congrats 🎉
- [Not loaded yet]
- Good question indeed 🧐 I personally use #BI as a very broad term ranging from intra-kingdom BIs, like plant-plant interactions such as competition for light, to inter-kingdom BIs, such as plant-microbiome (i.e., the holobiont) 🌳🍄 I even consider microclimatic modifications as a form of indirect BI
- Very proud to be part of this amazing work led by @nanitundra.bsky.social on #Arctic plant community changes in space & time 🧵 To be unfolded for more information & beautiful illustrations & pictures 🤩 Link for online reading ⬇️ rdcu.be/ej7AE 🧪🌐🌍☘️
- [Not loaded yet]
- [Not loaded yet]
- Wow, very nice illustration 😍
- Gorgeous Orchis purpurea today near one of the long-term (1995-2025) monitoring site of the #RENECOFOR network 🌳 The last 2 days, we did the 6th resurvey, one survey every 5 yrs, of 2 of the 102 permanent plots in 🇲🇫 @fspicher.bsky.social
-
View full threadYou want to know more about this amazing & unique long-term monitoring dataset? You want to know whether plant communities have already changed over time & how fast? I highly recommend you to read this paper led by Benoît Richard & published in #GEB shorturl.at/8SqF7
- 🌐🌍🍁☘️🧪
- Each #RENECOFOR site consists of 8 permanent vegetation bands of 100 m2 each, 4 bands inside a fenced area vs 4 bands outside it to test the effect of megaherbivores. We record, & track in time, all vasculars & mosses, assessing cover abundance values in each vegetation layer: tree, shrub & herb
- New #MIREN publication 📜 Roadsides in mountains around the world alter plant & fungal communities, favouring arbuscular mycorrhizal fungi & putative plant pathogens at the expense of ectomycorrhizal fungi ⬇️ Amazing work led by #Dajana #Radujković @dajana-r.bsky.social 🌐🌏🏔🛣🍄🟫☘️🍁🌳 shorturl.at/sbSyN
- Binarising probability values from species distribution models #SDMs can be very tricky when tracking #species #range #shifts in response to #climate #change ➡️ We need to use multiple threshold-selection methods beyond just TSS which tend to underestimate range contractions 🌐🌍🌡📈💧📉 shorturl.at/R0uOx
- [Not loaded yet]
- It's #bluebell time 🌳🪻🪺😍
- Le projet #IMPRINT 🌳 sur les #microclimats forestiers & financé par l'Agence nationale de la recherche #ANR 🇲🇫 est bel et bien terminé et vous pouvez télécharger le rapport final sur le site de l'UMR #EDYSAN ⬇️ @evagril.bsky.social @agencerecherche.bsky.social @cnrs.fr shorturl.at/qPf0K
-
View full threadVous pouvez même y télécharger le fameux Plan de gestion des données #PGD ou #DMP avec les liens pour accéder aux données du projet sur le portail #InDoRES shorturl.at/dCSu3
- Vous y trouverez toutes nos productions ainsi que la magnifique planche de #BD réalisée par @evagril.bsky.social
- [Not loaded yet]
- Magnifique couverture 🤩
- [Not loaded yet]
- [Not loaded yet]
- Soutenu et financé par l'institut #CNRS Ecologie & Environnement @cnrsecologie.bsky.social @cnrs-hautsdefrance.bsk.social @cnrs.fr
