Monday, 15 September 2014 00:00
By Louis Sahagun –Los Angeles Times – September 8, 2014
Half of all bird species in North America — including the bald eagle — are at risk of severe population decline by 2080 if the swift pace of global warming continues, the National Audubon Society concluded in a study released Monday. "The scale of the disruption we're projecting is a real punch in the gut," said Gary Langham, chief Audubon scientist. Langham led an Audubon study that examined more than 500 bird species and determined that more than 300 in Canada and the United States face large climate shifts that could reduce their habitat by half or more by 2080. The changing environment will force birds to adapt to new habitats with different temperature and precipitation rates if they are to survive. For full story, click here.
Monday, 08 September 2014 00:00
By Wil Burns – Teaching Climate/Energy Law & Policy – September 5, 2014
Instructors who include a module on climate science might want to draw upon a new study in the journal Climate Risk Management. The study addresses one of the most frequent question of students, as well as the general public: could current warming trends (through July 2014, consecutive months in which global land and ocean temperatures have exceeded the 20th century monthly average) be primarily a function of natural system fluctuation? The study, conducted by scientists at the Commonwealth Scientific and Research Organization and the University of Wollongong, seeks to facilitate the development of probabilistic statements to assess the likelihood that anomalous warming (in the study, defined as the unbroken sequence of 346 months, from March 1985-December 2013, of average monthly temperatures exceeding the 20th Century average) is a function of anthropogenic greenhouse gas emissions. It extends the methodology of attribution studies by using a statistically robust approach that incorporates time series modeling, validation and 100,000 bootstrap simulations of temperature time series (which can facilitate sampling distribution of statistics). The model correlates global temperature to well-recognized drivers of temperature variation, including El Niño, solar radiation, volcanic aerosols and greenhouse gas concentrations. The model was run using the historic record and re-run without the anthropogenic influence of greenhouse gas emissions. For full blog post, click here.