Very proud & glad to be part of this amazing work led by Étienne on the relevance of lagging dynamics in biotic responses to environmental conditions 🦉🦇🦔🦌🌱🌾🪻🍀🌳🌲

If you interested in modeling species ranges or biodiversity patters in space & time, our paradigm shift should be of interest to you 😉

And another related position:

BirdFuture: Research Group Leader (f/m/x) for Developing Models of Bird Diversity and Policy-relevant Applications in Europe

https://recruitingapp-5128.de.umantis.com/Vacancies/3260/Description/2

#ecologyjobs #ecoevojobs #xp

Bird Twin: Research Group Leader (f/m/x) for Developing Models of Bird Diversity and Policy-relevant Applications in Germany at UFZ, Germany

https://recruitingapp-5128.de.umantis.com/Vacancies/3259/Description/2

#ecoevojobs #ecologyjobs #xp

This opinion piece introduce a new conceptual framework but also a methodology to capture the delayed effects of biodiversity drivers (take a look this is model-agnostic 😊, i.e. it does not depend on the modelling approach).

Biodiversity doesn’t respond instantly to its driver, yet most assessments assume it does. 🚨

The paradigm shift we propose in considers multiple trajectories of long-term environmental changes and disturbance events that cumulate and push biodiversity into a quasi-permanent non-equilibrium state.

Do biodiversity drivers have no long-term effects?🚨Still the dominant assumption.

We propose a paradigm shift in Trends in Ecol & Evol:🔗 doi.org/10.1016/j.tr...

Many thanks to @jonlen.bsky.social,
@ronanmarrec.bsky.social, @franzessl1.bsky.social, @ingolfkuehn.bsky.social, @t-ergon.bsky.social

Vegetation might not be able to keep up with current rates of environmental change, given data from the pollen fossil record. Fun doing this work with David Fastovich in the lead, but sobering www.science.org/doi/10.1126/...

As the mean rate of forest disturbance is increasing, so does its temporal variance. Proof that Taylor's law also applies to disturbance ecology, and a warning of more severe future extremes. Paper led by @corneliussenf.bsky.social w/ @tommaso-jucker.bsky.social www.nature.com/articles/s41...

BioTIME 2.0 - the largest biodiversity time-series database - now spans 12 million records from 553,000 locations, tracking ecosystem changes since 1874! 📊

www.idiv.de/major-update...

@uniofstandrews.bsky.social @idiv-research.bsky.social @erc.europa.eu @jon-chase03.bsky.social

Pleased to contribute some long(ish..) term data from Honduras as part of BioTIME 2.0: a terrific dataset ripe for all sorts of questions! onlinelibrary.wiley.com/doi/10.1111/...
Also another wake up call as to the massive biological data gaps across equatorial Africa (and the tropics in general)..

New study finds where birds are declining most. High trend resolution data reveals complexity of bird population changes. “This is the first time we’ve had fine-scale information on population changes across such broad spatial extents and across entire ranges of species,” said Dr. Amanda Rodewald.

Postdoctoral fellow within remote sensing of forest biodiversity
www.jobbnorge.no/en/available...

Tropical forests in the Americas are changing too slowly to track climate change 😥
www.science.org/doi/10.1126/...

📢New paper!! 📢using #BioTIME #timeseries we showed that faster rates of #turnover in community composition were associated with faster rates of #temperature #change across biomes, for both cooling & warming + microclimate availability & human impacts modulate these responses
go.nature.com/3WD7cWa

Disequilibrium in plant distributions: Challenges and approaches for species distribution models - check our new review in @journalofecology.bsky.social doi.org/10.1111/1365... 🍃🌦️♨️🌿 #SDM #plants #speciesdistributions #ranges

Let me guide you through what we did to test time lag dynamics in species distribution models #SDMs of 🌲🌳 birds in 🇪🇺 A 🧵

🔥 Just out 🔥 our paper featuring a method to account for disequilibrium dynamics & time lags in species distribution model #SDM is published in Ecology Letters ⬇️ It outperforms traditional SDMs for 95% of the 92 European forest 🦅 species we tested

@etiennelalechere.bsky.social

shorturl.at/CVYPw

Indeed, model validation comes from other analyses related to spatial autocorrelation and cross-validation (providing AUC, specificity and sensitivity).

Thanks for this comment, the wording is indeed confusing as looking for this distribution can provide information about potential unexpected patterns while there is no need for normality.

Interesting study in education science to understand the challenges of internship mentorship, considering students, supervisors and institutions: doi.org/10.1186/s405...