Introduction to Environmental Physiology: Environmental Extremes and Mammalian Survival

1967 ◽  
Vol 31 (1) ◽  
pp. 216
Author(s):  
James R. King ◽  
G. Edgar Folk
2021 ◽  
Vol 12 (1) ◽  
pp. 6
Author(s):  
Shawn R. Simonson

Environmental Physiology at Boise State University, Idaho, is a multidisciplinary course that expands students’ understanding of human regulatory physiology through acute and chronic responses to environmental extremes. Students explore the physics (pressure, fluid dynamics, gas laws, sound, and light) of the underwater environment, marine flora and fauna adaptations to this environment, and the human experience within this environment. Included is completion of the Professional Association of Dive Instructors (PADI) Open Water Scuba Certification. The course culminates in an international dive trip where course concepts are further demonstrated and explored, and conservation activities are undertaken.


Author(s):  
D. F. Houlihan ◽  
D. R. Livingstone ◽  
R. F. Lee

1991 ◽  
Vol 24 (6) ◽  
pp. 25-33
Author(s):  
A. J. Jakeman ◽  
P. G. Whitehead ◽  
A. Robson ◽  
J. A. Taylor ◽  
J. Bai

The paper illustrates analysis of the assumptions of the statistical component of a hybrid modelling approach for predicting environmental extremes. This shows how to assess the applicability of the approach to water quality problems. The analysis involves data on stream acidity from the Birkenes catchment in Norway. The modelling approach is hybrid in that it uses: (1) a deterministic or process-based description to simulate (non-stationary) long term trend values of environmental variables, and (2) probability distributions which are superimposed on the trend values to characterise the frequency of shorter term concentrations. This permits assessment of management strategies and of sensitivity to climate variables by adjusting the values of major forcing variables in the trend model. Knowledge of the variability about the trend is provided by: (a) identification of an appropriate parametric form of the probability density function (pdf) of the environmental attribute (e.g. stream acidity variables) whose extremes are of interest, and (b) estimation of pdf parameters using the output of the trend model.


JAMA ◽  
1961 ◽  
Vol 177 (5) ◽  
pp. 344
Author(s):  
A. W. Squires

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