Our new research applies machine learning to produce the 1st map of organic carbon stores across Europe; a robust foundation for marine conservation planning and protecting critical blue carbon sinks. #BlueCarbon #MachineLearning Read: www.biodiversitydatascience.com/drivers-patt...

Does trait choice change the outcome of hybrid Species Distribution Models under climate change? We tested this and fond that correlative & hybrid models converged, both pointing to future range contractions. Read at: doi.org/10.1002/ecog... #Marinebiology #climatechange #machinelearning

Our new study shows that ocean currents are a major limiting factor for species shifting their distributions under climate change. Expansions are reduced by up to 48% for marine forests when accounting for dispersal. Read: www.biodiversitydatascience.com/ocean-curren... #biodiversity #datascience

Ep. 10: Ocean currents create invisible barriers for marine forests on the move Listen: podcasts.apple.com/pt/podcast/s... #biodiversity #podcast #datascience #kelp #seagrass

80% of marine Species Distribution Models ignore acidification and deoxygenation. We show that by considering these drivers, predicted range contractions for cold-water corals can scale up to 21.4%! #datascience #climatechange #corals Read: www.biodiversitydatascience.com/acidificatio...

PhD opportunity in Marine Macroecology 🌍 Global mangrove biodiversity: drivers, patterns, and resilience under climate change. Strong mentorship and support for a competitive FCT PhD fellowship application. Send a brief CV: www.biodiversitydatascience.com/contact/

Ep. 9: Marine aquaculture can resist climate change if we meet the 1.5°C Paris Agreement target Listen: podcasts.apple.com/us/podcast/e...

Our new study found: Ocean currents connect macroalgae to deep carbon sinks. In Greenland, floating seaweed mats travel via surface currents to deep ocean sinks, where winter mixing forces them to sink and sequester carbon for centuries. Read: www.biodiversitydatascience.com/ocean-transp...

Our new study found: marine #aquaculture can resist #ClimateChange if we meet the 1.5°C #ParisAgreement target, but higher emission scenarios threaten 100% of current high-value producing zones. Read: www.biodiversitydatascience.com/climate-chan...

New research. #Seahorse species won't just "shift north" with #climatechange. Integrating ocean current modeling with habitat forecasting shows that limited dispersal potential creates a massive conservation risk (habitat contract by 45%). Read at: shorturl.at/d1yG7 @ccmar.bsky.social

We mapped the global shipless areas and conflict zones between intense shipping and marine megafauna like cetaceans, sea turtles, pinnipeds, and seabirds severely impacts. Read the paper at: www.biodiversitydatascience.com/global-shipl... @ccmar.bsky.social

New research paper: Future #climatechange will force cold-water #corals to shift poleward and deeper, causing significant #biodiversity loss in shallow, low-latitude regions unless global emissions are drastically reduced. www.biodiversitydatascience.com/coral-redist...

New publication! We mapped the global genetic diversity of marine forests of brown macroalgae. Using genetic data, machine learning & past climate projections (LGM, ~20k yrs ago), we identify hotspots of diversity that shape resilience & conservation priorities. 🌍 🌊 Link: doi.org/10.1038/s420...

Ep. 7: Trophic Convergence in Marine Vertebrates podcasts.apple.com/us/podcast/e... Dive into the fascinating concept of trophic convergence in marine vertebrate communities worldwide. Marine communities in similar environments exhibit similar trophic structure.

We published in Scientific Data the first global dataset of coastal oceanographic connectivity - pairwise probabilities and travel times between marine sites from 21 years of ocean current simulations. 👉🏼 doi.org/10.1038/s415... #Connectivity #OceanCurrents #Biodiversity #RStats @ccmar.bsky.social

Coastal oceanographic connectivity at the global scale: a dataset of pairwise probabilities and travel times derived from biophysical modeling - Scientific Data

Scientific Data - Coastal oceanographic connectivity at the global scale: a dataset of pairwise probabilities and travel times derived from biophysical modeling

doi.org

Our latest study out in PNAS reveals trophic convergence in marine vertebrate communities worldwide. Across oceans, similar environments host functionally analogous trophic structures - regardless of species identity. 👉🏼 doi.org/10.1073/pnas... #Biogeography #Biodiversity #PNAS @ccmar.bsky.social

Sea Change Ep. 6: Brazilian soft coral extinction on Trindade Island due to multiple stressors, including ongoing climate change. podcasts.apple.com/us/podcast/e...

Can #bioengineering safeguard #kelp forests under future climate change? Our new study shows boosting thermal tolerance by just 1–2°C could recover over 50% of potentially lost habitat for cold-adapted kelps. 👉🏼 doi.org/10.1002/ece3... #Kelpforests #biodiversity #climateaction @ccmar.bsky.social

Sea Change Ep. 5: Artificial intelligence maps kelp forests from satellite imagery - we explore groundbreaking research that uses advanced AI to analyze satellite imagery and automatically detect kelp canopy cover along southern California and Baja California. podcasts.apple.com/pt/podcast/s...

🚨 New publication! We've documented the extinction of a keystone coral on Trindade Island, a remote Atlantic hotspot. Models predict even greater habitat loss by 2100. Urgent conservation and restoration efforts are needed. 👉 doi.org/10.1016/j.ma... #MarineConservation #ClimateChange #Corals

We’re looking for a motivated PhD student to join an exciting project on marine ecological networks and functional diversity. If you're passionate about ecological networks, marine conservation, and biodiversity science, this could be the opportunity.

Sea Change Ep. 4: Oceanographic Connectivity and Mangrove Forest Diversity - we dive into groundbreaking research exploring the influence of ocean currents on the global genetic diversity of mangrove forests. podcasts.apple.com/us/podcast/e...

Our latest publication, “Marine Forests Forever - A Necessary Multilateral Program for a Fair Future”! We’re advancing marine conservation & climate resilience. Discover more: doi.org/10.1002/aqc.... #MarineConservation #ClimateAction @ccmar.bsky.social

Sea Change Ep 3. We dive into the vulnerability of threatened and commercially important marine species within European Marine Protected Areas (MPAs) to future climate change under both low and high greenhouse gas emission scenarios. jorgemfa.podbean.com/e/sea-change...

We are developing the #biodiversity #database of #westafrica. Structured under #darwincore standards, offering a stable, straightforward and flexible framework for sharing data to managers, scientists and the general public. #datascience www.biodiversitydatascience.com/biodiversity...

New paper on climate-induced changes in kelp forest biodiversity. Significant poleward and depth shifts forecasted, coupled with marked community composition changes in the Arctic, the Northern Pacific and Atlantic, and Australasia. onlinelibrary.wiley.com/doi/10.1111/... @ccmar.bsky.social

New podcast episode of Sea Change. Sea Change explores how cutting-edge computational tools are transforming our understanding of biodiversity. #podcast #datascience #biodiversity #marineforests Listen: podcasts.apple.com/us/podcast/e...

From RStudio to Remarkable. Transform your R development with VS Code. #datascience #rprogramming #vscode #rcran jorgemfa.medium.com/from-rstudio...

Our new models predict global seagrass biomass - averaging ~133.83 gDW/m² - and project its future under climate change. Losses could hit up to 10%, with key hotspots most at risk. Meeting Paris targets is crucial. #ClimateAction #MarineScience #Seagrass #DataScience doi.org/10.1016/j.sc...

Daru & Rock's paper on seagrass range shifts under climate change has serious flaws. Their species distribution models (SDM) misuse the concept of model transferability, leading to inaccurate results. #marinescience #conservation #seagrass #natureplants #datascience t.co/bYS9WXYVJp