Carbon dioxide, sunlight, and water molecules.
Answer:
The coastal ocean seems to be more productive than the waters of the similar height in the open ocean due to ample availability of water, sunlight, and nutrients. The coastal ocean has more nutrients due to the process of upwelling, that is, movement of water offshore by the currents.
Also, water situated on the continental shelves is comparatively shallower and thus it is turbulent. This mixing or turbulence keeps settling the nutrients stirred up and accessible, and eventually, ample of nutrients erode off the continents themselves and so water nearby to the shore seems to be greater in nutrients.
On the other hand, in the surface water away from the coastlines, usually, there is a lot of sunlight but no availability of adequate nutrients. Therefore, the majority of the ocean surface is not much productive.
Explanation:
Lloyd came up with the idea of Tragedy of the Commons
<span>Firstly, producers get their energy energy from the sun through photosynthesis, creating or producing nutrients in the plant. A herbivore consumer can then eat it getting it's nutrients so, consumers rely on producers for their food but decomposers rely on a carnivore or omnivore (consumer) to eat some species of a consumer. The decomposer, lets say a earth worm eats and consumes the rest of the animal breaking it down to it's core nutrients. So I guess you could say decomposers rely on carnivores/omnivores to kill each other and herbivores, and herbivores/omnivores rely on producers for nutrients to eat</span>
Answer:
<em>To reject such a null hypothesis, </em><u><em>at least one</em></u><em> </em><em>of the treatment mean must be different from the other treatment means. </em>
Explanation:
In the ANOVA, there are two possible hypotheses:
- The null hypothesis, H₀: μ₁=μ₂=μ₃=μₙ. It states that all treatment means are equal to each other.
- The alternative hypothesis, H₁ states that at least one of the treatments means is different.
When the p-value of the ANOVA test is inferior to the alfa-level of signification chosen for the analysis, then we can reject the null hypothesis. This means that there is <u>at least one</u> mean of the groups under study that is different from the rest.
<em>We can get all the means values different from each other, or just some of them. But </em><em>having only one different mean value is enough to reject the null hypothesis</em><em>. </em>
