Answer:
Decrease in available living space
Explanation:
If there is no living space left there will be a decrease in the amount of organisms that can live there
<span>The shallow depths increases the rate of evaporation </span>
Emperor penguins need lungs to breathe. In penguin lungs, air never stops. ... Once the air goes farther into the trachea it splits into two different directions into both lungs. To get the oxygen into the blood cells, it must come "within small distance of the penguin blood cells".
Three of the major characteristics used to classify organisms are cell structure, mode of nutrition and cellularity. These characteristics help scientists determine how organisms are similar to each other as well as how they are different from each other.
Classifying an organism according to its cell structure means determining if it is a prokaryote or eukaryote and then determining if the organism has a cell wall or other organelles, according to Dave Krupp of the University of Hawaii .
Mode of nutrition refers to how an organism gets its food. Organisms can be classified as autotrophs or heterotrophs. Autotrophs make their own food, while heterotrophs must eat other organisms to survive. If an organism is an autotroph, it can also be classified as a photoautotroph or a chemoautotroph. Stephen T. Abedon of Ohio State explains that photoautotrophs produce their own food using energy from sunlight. Chemoautotrophs produce food using the energy from electron-donating compounds.
Cellularity refers to how many cells an organism has and how those cells are arranged. Some organisms are single-celled, while others are multicellular. Advanced organisms have cells organized into tissues.
Answer:
X is the concentration of the substance being measured and Y is the response from the instrument that is being used to measure
Explanation:
A calibration curve is the plot of known concentration of substances where x is the increasing known concentration and Y is the response, typically "absorption" taken from the instrument that is used for measuring. This curve is then used to find out the concentration of the unknown substance by using it's absorbance and comparing it with the calibration curve. For example:
Concentrations and absorbance readings are as follows
0.5mg/mL=10 nm
1.0mg/mL=15nm
1.5mg/mL=20nm
2.0mg/mL=25nm
This data is plotted on a calibration curve. Next we measure the unknown substance the absorption is 20nm. We can suggest that the concentration is 1.5 mg/mL. If there are readings that fall inbetwen values then the formulat to calculate the right concentration would be y = mx + b, where m is the slope and b is the y-intercept.
Linear regression uses the modification of the slope formula y= a + bx to best see how the data of the water samples would fit on the slope of the calibration curve. X is the independent variable , b is the slope of the line and a is the y-intercept.
Extrapolation would be the action of calculating data that are outside the calibration curve, assuming the trend would continue.
