Microhabitat Variation

Microhabitat Variation

Temperature results for this observational study show that temperature mean and standard deviation values vary as you go from one location to another . These results are basically affected by several factors . One factor for example is the amount of sunlight received by a particular area . Shaded locations , such as under a holly tree and another tree near the shore pond registered lower mean temperatures (20 .55 C and 21 .03 C respectively ) compared to those areas that are more exposed to direct sunlight such as the sunny patch of grass

(31 .60 C ) and at the bleachers (28 .52 C . exposure to direct sunlight obviously increases the temperature of a certain area while the absence of it decreases the temperature . Also , the canopy of the trees hinders the sunlight to penetrate the area under it thus , contributing to the lowering of the temperature of the said locations . The amount of sunlight that enters the Earth has great effect on air temperature . But as sunlight passes through the air , it does not heat it but rather , warms the air above the liquids (streams , ponds ) and solids (soil ) on the Earth . Usually , the warmest time of the day is the middle because it is when the sunlight is directly hitting these liquids and solids . Temperature is usually low at midnight , decreasing in the early hours of the morning , and then increasing rapidly until just after midday . It then decreases during the night ( HYPERLINK "http /www .niwascience .co .nz /edu /resources /climate /plots http /www .niwascience .co .nz /edu /resources /climate /plots . Also , it is warmer during summer because there are more time for the Earth 's surface to heat up as compared during winter time . This event is also observable inside a thermometer , an instrument used to measure temperature . The liquid inside this instrument expands and goes up when the air surrounding it is warm . During colder days on the other hand , the liquid contracts and goes down . On the other hand , the temperature values observed under a tree showed a larger standard deviation (32 .74 ) as compared to other areas observed . This can be explained by the fact that trees have the ability to reduce wind and air circulation especially in humid climates . Large trees with dense foliage can limit air circulation on hot days and increase the landscape 's humidity by decreasing the amount of available sunlight . The lower a tree 's branches are to the ground , the more it contributes to an airless space (http :www Variations on the activities of the tree in to adapt to the existing sunlight amount caused the wide range of temperature values observed in this specific location

The scatterplot shows that the average temperatures of the study locations and the number of animals observed on those locations have no significant relationship with one another as proven by a high

value (0 .135 . Also , the two variables have a weak positive relationship as shown by a positive R value (0...