Given what we know, despite not having access to the graph mentioned in order to provide a detailed answer, we can make the estimated guess that the grey wolf population probably experienced the greatest growth in 1994.
<h3>Why is C the most appropriate answer?</h3>
- The information given describes an increase in population during these years.
- The increase is a 7 fold increase to that of the years prior to the disaster.
- The options each list scenarios in which the population decreases, which is not consistent with the information provided.
- Option C is the only non-decreasing option.
Therefore, given the information that during the years mentioned the population of wolves increased by seven times its number from before the disaster, we can confirm that since option C is the only option that does not describe a decrease in population, this must be the correct choice.
To learn more about Chernobyl visit:
brainly.com/question/1023302?referrer=searchResults
Ancient cyanobacteria released oxygen, <span>which assisted in creating the atmosphere as we know it today. The correct option among all the options that are given in the question is the fourth option or option "D". I hope that the answer has actually come to your great help.</span>
Marsupialia is the correct order
Answer:
B
Explanation:
For the body to maintain stable conditions for optimal working of biochemical activities in cells, then it will require to constantly readjust any imbalances and offshoots that occur (which is the case regularly) through a positive and negative feedback mechanism. An example is blood sugar. After food intake, the blood sugars tend to rise a bit and the body produces more insulin to communicate to the cells to take up the excess glucose from the blood and store it. During starvation when the blood sugar tends to drop below normal levels, the level of insulin is reduced and that of glucagon is heightened. This causes the stored glucose to be released into the blood to restore homeostatic levels. This kind of balancing act happens with many other variables in the body.