Substantially lower estimates in China's offshore wind potential using farm-scale spatial modeling and wake effects. [PDF]
Xu S +8 more
europepmc +1 more source
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Automatic Modal Parameter Identification for Offshore Wind Turbines Using Modified Clustering-Based Methodology. [PDF]
Yang Y, Liang F, Zhu Q, Zhang H.
europepmc +1 more source
Tracking the impact of bottom trawling on benthic habitat status
Abstract Bottom trawling is the most widespread physical disturbance to marine benthic habitats, yet broadscale assessments of its impact remain limited. We developed a quantitative framework to evaluate trawling effects on benthic habitats at broad spatial scales based on the sentinels of seabed (SoS) indicator.
Maider Plaza‐Morlote +10 more
wiley +1 more source
Assessing and strengthening community‐based coastal governance
Abstract Community‐based coastal governance is essential for biodiversity conservation and sustainable livelihoods, yet many communities continue to face significant challenges in establishing and sustaining effective governance systems. We sought to improve understanding of the current status of community‐based coastal governance across five countries
Mark Andrachuk +21 more
wiley +1 more source
Present Status of Offshore Wind Power.
openaire +2 more sources
Offshore wind and hybrids - A counterfactual case study for impacts in the coupled day-ahead market of Europe. [PDF]
Jakob Fliegner F +3 more
europepmc +1 more source
Machine learning-based assessment of offshore wind farm impacts on soft-bottom benthic communities in the Shandong Peninsula. [PDF]
Wang L +6 more
europepmc +1 more source
Does nature shape risk preferences? Evidence from Chile, Norway, and Tanzania
Abstract Does exposure to a more risky environment affect risk preferences? Going beyond single‐case study evidence, we report results from five surveys conducted in three countries and link this with administrative data to study whether a link between exposure and preferences is detectable and widespread. We find no evidence for endogenous preferences
Florian Diekert, Robbert‐Jan Schaap
wiley +1 more source

