By National Research Council, Division on Earth and Life Studies, Polar Research Board, Board on Environmental Studies and Toxicology, Committee to Review the Gulf of Alaska Ecosystem Monitoring Program
Record from the Committee to check the Gulf of Alaska atmosphere tracking application and the nationwide study Council. Softcover.
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Is the scale relevant to the hypotheses of interest? Specific questions about human-induced and other changes can be framed 37 38 A CENTURY OF ECOSYSTEM SCIENCE at a variety of scales. For example, at relatively small scales: How does the consumption of intertidal herbivores by humans affect algal production? At relatively large scales: Is offshore production, as indicated by chlorophyll, related to the nesting success of seabirds? According to its title, the GEM plan takes the Gulf of Alaska as its scope.
S. District Court approved a civil settlement that required Exxon Corporation to pay the United States and the State of Alaska $900 million over 10 years to restore the resources injured by the spill and to compensate for the reduced or lost services (human uses) the resources provided. Under the court-approved terms of the settlement the Exxon Valdez Oil Spill Trustee Council made up of three federal and three state members was formed to administer these funds. The mission of the Trustee Council has been to return the environment to a “healthy, productive, world-renowned ecosystem” by restoring, replacing, enhancing, or acquiring the equivalent of natural resources injured by the spill and the services provided by those resources.
Hypotheses. The plan could target research toward a restricted hypothesis, for instance, taking measurements that would support or disprove the Pacific Decadal Oscillation as a cyclic climatic shift. 5. Time. The plan could incorporate intentions to develop research projects in different areas over time. S. gov/nep>), which provides funds to develop management plans in one estuary after another. This strategy is generally inappropriate when the plan’s mandate is to generate consistent long-term data sets.