When the sea will not let species move: ocean currents as hidden barriers to climate adaptation.
When the sea will not let species move: ocean currents as hidden barriers to climate adaptation. @mncn-csic.bsky.social @mncn-bgcg.bsky.social
In productive ecosystems, larger animals capture more energy per species biogeography.pensoft.net/article/1644...
In a recent paper @pnas.org, we found that the world’s oceans sort into six recurring “food-web types” shaped by temperature, productivity, and depth—functionally alike even when the species aren’t. A new baseline for tracking climate change. Check our video abstract: www.youtube.com/watch?v=nAv2...
👉 Investigadores descubren que los depredadores no son minoría.
El estudio de más de un millón de especies terrestres desafía la idea clásica de la pirámide de la biodiversidad. Nos lo cuenta uno de sus autores, @miguelbaraujo.bsky.social (@mncn-csic.bsky.social):
Some argue protected areas in fire-prone landscapes can undermine forest carbon (fuel build-up → higher fire risk). This paper shows Spanish protected areas consistently outperform comparable unprotected lands, strongest in National Parks.
iopscience.iop.org/article/10.1...
A huge thank you to @efe.com for their fantastic coverage of our new paper in Nature Ecology & Evolution today! 🌊🐟
efe.com/medio-ambien...
@mncn-csic.bsky.social
@mncn-bgcg.bsky.social
@miguelbaraujo.bsky.social
@jdgonzalezt.bsky.social
An arboreal camera-trap image form the Brazilian Amazon rainforest. An animal is detected by TropiCam-AI, which analyzes its features and tries to determine what species it is.
TropiCam-AI analyzes the prompted image, and classifies it at the species level as a black spider monkey. Users can decide to let the model predict at the taxonomic level that achieves the highes confidence and accuracy, or force predictions at the desired taxonomic level.
New paper out in @methodsinecoevol.bsky.social!
📷We present TropiCam-AI: a machine learning model that identifies 84 taxa of Neotropical arboreal mammals and birds from camera-trap images and videos. 🐒🦜
📃Paper → doi.org/10.1111/2041-210x.70213
🌐Project → github.com/andrewzamp/TropiCam-AI
New paper out! 🐦📊
We realease AVONICHE, a global dataset with detailed information on the proportional use of 32 foraging niches, combining dietary categories with the behaviours and substrates used to access resources.
Openly access the paper and data in GEB: doi.org/10.1111/geb....
New paper out in collab with amazing Brazilian researchers! By sampling 30 vegetation plots along a hunting pressure gradient, we show that sapling recruitment of large-seeded animal-dispersed species is consistently lower in overhunted forests.
onlinelibrary.wiley.com/doi/10.1002/...
Great energy today at the MNCN-CSIC Biogeography & Global Change Annual Meeting at Ventorrillo! Let’s keep pushing scientific boundaries and driving meaningful change together
@mncn-bgcg.bsky.social @mncn-csic.bsky.social
Great annual meeting of our @mncn-bgcg.bsky.social biogeography and global change group and departament at the @mncn-csic.bsky.social biological station of El Ventorrillo. Good to meet new members and witness the extraordinary work of PhD students and Postdocs. Thanks for the organizers.
Correlation coefficients between bat forearm length and climatic variables
New paper published in Ecography coming out of the ClimBats COST Action on effects of climate on #bat morphology across space and time. Led by @laura-paltrinieri.bsky.social, @anabenlop.bsky.social and @lsantinieco.bsky.social 🦇🌡️🌧️
nsojournals.onlinelibrary.wiley.com/doi/10.1002/...
Finally it is here! 🥳
We simulated 280 virtual species under current and future scenarios testing multiple background levels.
Background optimization can improve model performance for current scenarios, but not so much for future ones.
Also 5% of the study area sampled as bg seems to be the best.
We show that marine communities around the world exhibit trophic convergence in similar environments — a global pattern echoing what we also found on land. This challenges classic biogeographic models and opens new doors for predicting biodiversity responses to change.
www.pnas.org/doi/10.1073/...
Este paper de la tesis de Fernando Hurtado muestra que la mayoría de especies coocurren o son neutrales a distintas escalas. La exclusión competitiva es menos común, y hasta el 7% de las especies analizadas ocurren juntas más en cojines de musgo que a escala regional @mncn-bgcg.bsky.social 🧪👇#NICED
A great paper by @bryonyblades.bsky.social shows that mobilising data from recent surveys by taxonomists and other specialists complements the spatial and climatic coverage and reduces bias in data on insect distributions from @gbif.org. @cristinaronquillo.bsky.social @mncn-bgcg.bsky.social 🌐🧪
Cerramos el año con un análisis de zonificación de intensidad de gestión forestal en Europa. Como casi siempre, faltan datos “finos”, pero es relevante el gradiente sur-norte
link.springer.com/article/10.1...
A fuzzy gap analysis for biodiversity conservation under climate change. A collaboration led by Elham Ebrahimi. www.sciencedirect.com/science/arti...
New modelling framework projects widespread shifts in ecological energy distribution across terrestrial communities @mncn-csic.bsky.social
www.maraujolab.eu/2025/03/26/c...
Despite its promise, spatial conservation prioritisation (SCP) remains underused. In @natrevbiodiv.bsky.social, I argue that SCP must evolve beyond the scientific methodology to embrace the social and political contexts in which conservation decisions are made. www.maraujolab.eu/2025/03/31/c...
Check out our latest review on the links between animals, plants, and carbon, and explore the complex interactions between defaunation and ecosystem carbon in Earth's most biodiverse and carbon-rich biome, tropical rainforests. conbio.onlinelibrary.wiley.com/doi/10.1111/...
