@unisevilla.bsky.social @csic.es @mncn-csic.bsky.social @ebdonana.bsky.social @csicdivulga.bsky.social @eloyrevilla.bsky.social @laura-pollock.bsky.social

1⃣6⃣🔑 KEY MESSAGES:
1⃣ Ecological networks help improve biodiversity & #speciesdistributionmodels under #climate & #land-use change.
2⃣ Global change reshapes #foodwebs, affecting #ecosystem structure & function.
3⃣ We need better data on species #interactions.

1⃣5⃣Brown bears have a wide potential distribution in Europe, but future #climatechange and land-use changes—through abiotic and biotic factors—will affect each subpopulation differently.

1⃣4⃣The inclusion of biotic interactions considerably improved our understanding of brown bear distribution at large (continental) scales compared with Bayesian models including only abiotic factors (climate and land use)

1⃣3⃣Bear diet depends of climate and land use variables, for example subpopulations located in areas with higher temperatures eat more plants, which means that bears have different roles in the ecosystems

1⃣2⃣🚨 RESULTS🚨 What brown bear eats?

1⃣1⃣ We fitted three models explaining the distribution of brown bear (Using the historical range data and the current data): 1) A model with only abiotic variables 2) A model only biotic variables 3) A model combining abiotic and biotic variables

🔟And the #biotic variables

9⃣ Using all wild species in the brown bear diet, we created #biotic variables based on the energy each species provides. We combined this with #habitat #models for each #diet species using
@gbif.es @gbif.org , #climate, and #landuse data

8⃣… and (2) high-resolution occurrences of brown bears from all European and Turkish subpopulations. We built a database with over 3 million 🐻 occurrences from more than 3,000 individuals, covering a broad environmental range.”

7⃣We combined distribution data for brown bears by using (1) range-scale data from the Eurasian range, complemented with historical range info from historical sources. Avilable at zenodo.org/records/1537...

6⃣ To fill the biotic‑interaction gap, we reviewed 47 studies on the 🐻 brown bear’s diet🍏🌿🐜🦌🫎 across Europe and built a detailed trophic database — a #foodweb with >1,300 quantitative, empirical links, available at zenodo.org/records/1536...

5⃣ …and from a #conservation perspective, the brown bear is a keystone species in some of the most important protected areas of the continent: #CordilleraCantábrica #Pyrenees #Alps #Carpathians #Apennines #Pindus #Balkans #Finland #Baltic #Scandinavia #Natura2000 #Türkiye #Tatra

4⃣ To address this, we focused on the #brownbear in #Europe and #Türkiye — a well-studied species and region. From an #ecosystem perspective, the brown bear is a top #predator and an #omnivorous generalist, key to ecosystems and with several subpopulations at #extinction risk e.g. #Cantabrian

3⃣ However, when studying species distributions at large scales, we usually focus on abiotic variables such as climate and land use. This is partly due to the limited data on biotic interactions at broad scales — a gap known as the Eltonian shortfall. annualreviews.org/doi/abs/10.1...

2⃣ Hutchinson proposed that species distributions are shaped by a complex set of abiotic and biotic factors. For example, the #IberianLynx 😺 depends on rabbit 🐰abundance (Monterroso et al. 2016).