Polycyclic aromatic hydrocarbons (PAHs) can disrupt important signaling pathways that transcribe genes during fish’s early embryonic development, which could cause malformations.
Researchers measured polycyclic aromatic hydrocarbon (PAH) concentrations in water collected near the Deepwater Horizon site to understand how sinking particles, such as marine snow, influence the residence time of PAHs in the upper ocean.
Opportunity: 2017 Internship – Dauphin Island Sea Lab – FEBRUARY 15, 2017 Position: Valentine Lab – 2017 Internship Application Deadline: March 24, 2017 Details: The Valentine Lab is looking for three interns to help conduct research on ecosystem resilience as a part of the Gulf of Mexico Research Initiative (GoMRI) and Alabama Center for Ecological…
A new study on how ocean currents transport floating marine debris is helping to explain how garbage patches form in the world’s oceans. Researchers from the University of Miami (UM) Rosenstiel School of Marine and Atmospheric Science and colleagues developed a mathematical model that simulates the motion of small spherical objects floating at the ocean surface.
Nearly seven years after the Deepwater Horizon disaster, oil spill experts are working from volumes of research toward efforts to prepare for and respond to future accidents.
As the Deepwater Horizon oil spill unfolded, there were concerns that the Loop Current might transport oil out of the Gulf to the Florida Keys and up the eastern seaboard. This possibility highlighted the need for quick predictions of oceanic flows and subsurface hydrocarbon distribution during and after a spill.
Pennsylvania State University scientists analyzed images of impacted and non-impacted deep sea corals to characterize their symbiotic relationship with brittle stars and determine if brittle stars influenced coral recovery from the Deepwater Horizon spill.
Members from NCEAS, DataONE and Data Carpentry are teaming together to provide an NCEAS led, 3-week open science training event. This training event will be hosted by the National Center for Ecological Analysis (NCEAS), Santa Barbara CA, July 10th – 28th.
Scientists developed a new model to predict how much oil from a spill might bind to sediments or organic matter in the water column. The model, A-DROP, introduces a formula that accounts for oil stabilization by particles, particle hydrophobicity, and oil-particle size ratio.
Scientists from LSU are set to present new research at the 2017 Gulf of Mexico Oil Spill and Ecosystem Science Conference in New Orleans.