certain invertebrates are highly sensitive to light. light often means heat and some don't have a high tolerance of heat.
get a baf
Petri dish Black marker Lamp Invertabrate
When testing the veracity of a proposed hypothesis, you use something called "statistical testing". To do this, you would first formulate two contradictory hypothesis. The first, called your null hypothesis, would assume that there was no variation between the number of invertebrates in areas of different light intensity. For example: your null hypothesis would be (# of invertebrates in light intense areas)=(#of invertebrates in areas of moderate light intensity). Next, you would construct your "alternative hypothesis", which would look like: (# of invertebrates in light intense areas) "is not equal to"(# invertebrates in areas of moderate light intensity). Once the null and alternative hyp. are determined, you would conduct research to collect data on the actual number of invertebrates in a light intense area, as well as the number of invertebrates in areas of low light. For instance, you might find that equatorial regions(high light) have 2000 bugs per square mile, while Canada(Low light/bad food) only has 500 per square mile. By plugging those numbers into your hypotheses, you will be able to determine which is true, the null or the alternate. If the alternate is true (which is the case with these example numbers), then the distribution is shown to depend upon light intensity. If the alternative hypothesis is false (i.e. Canada had just as many bugs as the Middle East), then your proposed hypothesis is most likely incorrect, and the distribution of invertebrates in a habitat is shown to be independent of light intensity. From here, you can use statistical analysis to determine the accuracy of your test, and the probability that what you concluded from the test is true(i.e. the test is true 95% of the time). This is the same as saying the probability that what you concluded is incorrect, and it was just a coincidence there were fewer bugs in the low light region, is 5%(called your "p-value"). P-values are included in the vast majority of scientific reports, and are commonly written as (p=.05). The more accurate the test, the smaller the p-value. I hope that is what you were looking for, good luck!
The intensity of light depends on the amplitude of the light waves, which represents the strength or power of the light wave. The intensity is also affected by the distance the light has traveled from the source, which can cause the light to spread out and decrease in intensity. Additionally, materials through which light passes can affect its intensity through absorption or scattering.
the intensity of radiation emitted at that wavelength, giving a characteristic spectral distribution that depends only on the temperature of the object emitting the light.
*intensity, distribution, color and movement
No object can vibrate at the wavelength of light. wavelength of light depends on the intensity of light and electron movements.
The intensity of the basketball players helped them win the tournament.
The photoelectric current depends on the intensity of light shining on the surface, the frequency of the light, the type of material the surface is made of, and the energy of the individual photons. Increasing any of these factors can result in a higher photoelectric current.
A light wave's brightness depends on its amplitude, which determines the intensity of the wave. The greater the amplitude, the brighter the light wave will appear.
It depends on light. it is changing with light.
it just depends on the shade of blue and purple. if it is a dark purple and a light blue, then the light blue would have a higher intensity. if you look at any shade, the one that is brighter has the higher intensity of the two.