Achieving paris climate target could net additional billions in fisheries revenue watts up with that electricity merit badge worksheet

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The study, released today in Science Advances, compared the ecosystem and economic j gastroenterol impacts of the Paris Agreement warming scenario of 1.5 degrees Celsius to the current “business as usual” 3.5 C warming scenario. The researchers concluded that achieving the Paris Agreement would result in benefits for 75 per cent of maritime countries, with the largest gains being made in developing countries.

“Achieving the Agreement’s target could increase global fishers’ revenues by $4.6 billion annually, seafood electricity vampires workers’ income by $3.7 billion, and reduce household seafood expenditures by $5.4 billion,” said Rashid Sumaila, lead author of the study and professor and director of the Fisheries Economics Research Unit and the OceanCanada Partnership at UBC’s Institute for the Oceans and Fisheries and School of Public Policy and Global Affairs. “The largest gains will occur in developing country waters, such as Kiribati, the gas prices going up or down Maldives and Indonesia, which are at greatest risks due to warming temperatures and rely the most on fish for food security, incomes and employment.”

“Larger fish biomass and higher ocean productivity means higher catch potential, so with the exception of Europe, all continents will benefit from the Paris Agreement,” said Travis Tai, co-author of the study and PhD candidate in the Institute for the Oceans and Fisheries. “Countries in places like northern Europe, on the other hand, stand to gain more fish as they move towards the poles in search electricity transmission efficiency of colder waters under global warming. They will gain less if we limit warming, but in many cases, the losses are buffered by increases in fish prices.”

“However, a projected 19 per cent increase in fish prices, known as ‘price effect,’ should result in a negligible overall loss of less than two per cent in fishers’ revenues in Russia,” said William Cheung, co-author and associate professor in the Institute for the Oceans and Fisheries’ Changing Oceans Research Unit la gastritis and science director for the Nippon Foundation – UBC Nereus Program. “Conversely, for the U.S., fishing revenues are expected to decrease by eight per cent due to price effects but will be offset by a 21 per cent increase in catch potential.”

“A steady supply of fish is essential la gas prices map to support these jobs, food sovereignty, and human well-being,” said Sumaila. “Adapting to existing climate change effects and implementing the Paris Agreement is crucial for the future of the planet’s ocean fisheries, while facing the growing challenges of supporting healthy and peaceful societies into the future.”

1. So, this ‘study’ compared “the Paris Agreement warming electricity voltage in norway scenario of 1.5 degrees Celsius to the current “business as usual” 3.5 C warming scenario”. How can anyone with knowledge of the Paris Accord Nationally Determined Contributions (NDCs) and ongoing construction efforts in China and India think that the 1.5 C scenario is likely? The Paris Accord lets China and India do essentially whatever they want – and apparently what they want is to build lots of fossil fuel-burning electrical power generation plants. All by themselves, China and India will likely drive CO2 emissions beyond the 1.5 C scenario levels.

2. Was there a statement in there somewhere explicitly comparing the yields of the 1.5 C or 3.5 C scenarios to today’s yields? I could not find a table with data along the lines of “1.5 C yields are __ % more or less than current yields.” All gas to liquid yield comparison values seem to be “(1.5 C – current) – (3.5 C – current).” These differences are for hp electricity bill payment online some reason described as “increases” or “decreases” relative to the 3.5 C projections but never compared to current yields. It would be useful to see the differences between current yields and the projections. The cynic in me suspects the authors did not want to risk censure by listing a positive change in yields from any level of warming (e.g., some warming may be good).

3. When did comparing projections from multiple models, based on assumptions and the output of multiple Global Climate Models (GCMs) – each with electricity prices over time their own set of assumptions – become science? This ‘study’ used the projections of GCMs which have been shown to be unreliable as the input to three different types of models (supply-demand, economic impact, and climate-marine ecosystem). The phrase “turtles all the way down” comes to mind.

5. Not to nit-pick but what is the point of Figure S2? The six plots show perfectly linear relationships between Fishers’ Revenue (FR), Seafood Workers’ Income (SWI), and Household Seafood Expenditures (HSE) (dependent variable) and price (independent variable). All the electricity symbols worksheet table shows is that the models the authors used contain linear relationships. While it has been 21 years since I earned an MBA, I don’t recall very many linear relationships between price and other economic variables. Seems simplistic.