Let us look at the what, why and how of studying extreme places like the deep earth and the deep space. Scientists need to figure out as to 'what' they want to look at such places, be it a new exotic creature or bio-genesis (birth of life). Unless there are several testable hypothesis constructed, such a study cannot begin. The 'why' aspect deals with the purpose of such research and expeditions. Is it of any use to the humans, or will it improve our current understanding of a phenomenon? The 'how' aspect deals with the technology and the economic assistance that can help in undertaking such a research. All these are the challenges that needed to be thoroughly considered to make such a research or expedition possible.
The ecosystem is an ecological system consisting of all of its biotic and abiotic factors
Answer:
i think its a but i am not absoulty sure
Explanation:
The procedures that can be used to perform water erosion laboratory practicals are:
- The use of detachment
- Transportation
- Deposition.
<h3>What is Water Erosion?</h3>
This refers to the biological process where rock particles are broken down into smaller particles and how they are removed by water.
Hence, we can see that in a laboratory experiment, one would need different apparatus such as:
- Pitchers
- Bottles
- Soil
- Water, etc.
This would be used to test the loss of water as it is put into the soil from the set of bottles to see how much the water is retained.
Read more about water erosion here:
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Answers:
D) According to the graph, obesity and diabetes are intertwined, which could be why obesity and diabetes are linked.
E) Diabetes had the greatest rise in prevalence in 1997 until 2000, with prevalence percentages between about 76% to 78%.
Explanation: Explanation for these answers are below:
D) Looking at the graph, obesity and diabetes had similar prevalences in 1997 and 1998, and started to part ways a little in 1999. In fact, even without the graph, scientists have known for a long time that people who have obesity also have diabetes. This graph supports that claim because of how closely linked diabetes and obesity are and how similar the prevalence percentages are.
E) Diabetes had the greatest rise in 1997 to 2000, which had a 78% prevalence by 2000. Obesity had very similar prevalence percentages from 75.5% to 77% in 1997 to 2000.
