- The initial number of bacteria present is equal to 270 bacteria.
- The number of bacteria that will be in the petty dish after 12 hours is 167818 bacteria.
<h3>What is an exponential function?</h3>
An exponential function can be defined as a mathematical function whose values are generated by a constant that is raised to the power of the argument. Mathematically, an exponential function is represented by this formula:
f(x) = eˣ
<h3>How to calculate the initial number of bacteria?</h3>
B(t) = 150e^0.585t
When t = 1, we have:
B(1) = 150e^0.585(1)
B(1) = 150e^0.585
B(1) = 269.25 ≈ 270 bacteria.
<h3>How many bacteria will be in the petty dish after 12 hours?</h3>
B(12) = 150e^0.585(12)
B(12) = 150e^7.02
B(12) = 167817.99 ≈ 167818 bacteria.
Read more on exponential functions here: brainly.com/question/27866047
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Answer: After Germany annexed Austria in March 1938 and particularly after the Kristallnacht pogroms of November 9–10, 1938, nations in western Europe and the Americas feared an influx of refugees.
Explanation:
Little is known about how mutualistic interactions affect the distribution of species richness on broad geographic scales. Because mutualism positively affects the fitness of all species involved in the interaction, one hypothesis is that the richness of species involved should be positively correlated across their range, especially for obligate relationships. Alternatively, if mutualisms involve multiple mutualistic partners, the distribution of mutualists should not necessarily be related, and patterns in species distributions might be more strongly correlated with environmental factors. In this study, we compared the distributions of plants and vertebrate animals involved in seed‐dispersal mutualisms across the United States and Canada. We compiled geographic distributions of plants dispersed by frugivores and scatter‐hoarding animals, and compared their distribution of richness to the distribution in disperser richness. We found that the distribution of animal dispersers shows a negative relationship to the distribution of the plants that they disperse, and this is true whether the plants dispersed by frugivores or scatter‐hoarders are considered separately or combined. In fact, the mismatch in species richness between plants and the animals that disperse their seeds is dramatic, with plants species richness greatest in the in the eastern United States and the animal species richness greatest in the southwest United States. Environmental factors were corelated with the difference in the distribution of plants and their animal mutualists and likely are more important in the distribution of both plants and animals. This study is the first to describe the broad‐scale distribution of seed‐dispersing vertebrates and compare the distributions to the plants they disperse. With these data, we can now identify locations that warrant further study to understand the factors that influence the distribution of the plants and animals involved in these mutualisms.
Introduction
A central problem in ecology is to understand the patterns and processes shaping the distribution of species. There is a preponderance of studies of species richness at broad geographic scales (Hawkins et al. 2003, Rahbek et al. 2007, Stein et al. 2014, Rabosky and Hurlbert 2015) that has facilitated our understanding of why species are found where they are, a central tenet within the domain of ecology (Scheiner and Willig 2008). Most commonly, these studies find species distributions to be correlated with resource availability and use environmental variables (e.g. temperature and productivity; Rabosky and Hurlbert 2015) to explain putative determinants of the distributions. Environmental variables are only one determinant of species’ distributions. Another, species interaction, is a key and understudied determinant of species’ distributions (Cazelles et al. 2016). In fact, in some cases species interactions may be more important for determining distribution than environmental variables (Fleming 2005).
When species interact, we expect their geographic distributions to be correlated – either positively or negatively – depending on the effect (or sign of the interaction) of one species on the other (Case et al. 2005). For pairwise interactions, where one species benefits from another species, a positive relationship is expected between the distribution and abundance due to the increase in the average fitness of the benefitting species where they overlap (Svenning et al. 2014). Furthermore, most species interactions are not simply pairwise, but diffuse, consisting of multiple interacting species, here referred to as guilds (with guilds referring to species that use the same resource). It therefore follows that where one guild benefits from another guild, a positive relationship is expected between the distribution and richness of the guids. This should be true in the case of mutualisms, where both sides of the interaction share an increase in average fitness from being together (Bronstein 2015), and there is some evidence for correlated geographic distributions of mutualists in the New World (Fleming 2005). One example of a mutualism where both sides of the interaction have a fitness advantage in each other's presence is animal‐mediated seed dispersal. Because both interacting species and guilds in seed dispersal mutualism benefit from the relationship we would predict that the richness of animal‐dispersed plants ought to be correlated with the richness of their animal dispersers and vice versa. To our knowledge, this prediction has never been tested on a large geographic scale.
Okay, think of an essay or paragraph as like stating your opinion. Here’s how to break it down so it’s a little easier:
Paragraph 1 - Introduction.
Provide background information on the topic. Give about 1-2 sentences on what the topic is about, and for the 3rd sentence, put in a statement that IS your argument.
For example, “French fries are the best food ever because they are delicious.”
Paragraph 2 - Conflict.
Elaborate on your argument/thesis statement. Since that seems to be your conflict, describe something hard you’ve been through. What was hard about it? How did it affect you?
Paragraph 3 - Response
Elaborate more on how the conflict affected you personally. If you can, try to connect it to a bigger picture or theme.
For example, “I broke my leg in middle school as a result of a basketball injury. Therefore, we should eliminate school sports because they cause injuries.”
It’s a reach, but that’s the entire point of connecting to a bigger theme.
Paragraph 4 - Explain Response
Here is where you’re going to connect your response in paragraph 3 to a bigger picture. Talk about the outcome and effect you showed in paragraph 3.
The questions mentioned should help you- break it down in a way that you understand. I tried to simplify this for you in the easiest way possible, I hope it helps and good luck :)
Answer:
Use the map of Georgia to consider different applications of von Thünen’s model.Assuming an absence of topographical features, in one to two sentences describe how different types of farming would be arranged around Atlanta, according to von Thünen’s model.In 2–3 sentences, describe how the site factors near Savannah would affect the distribution of types of farming around Savannah’s city center, according to von Thünen’s model.
Explanation:
Use the map of Georgia to consider different applications of von Thünen’s model.Assuming an absence of topographical features, in one to two sentences describe how different types of farming would be arranged around Atlanta, according to von Thünen’s model.In 2–3 sentences, describe how the site factors near Savannah would affect the distribution of types of farming around Savannah’s city center, according to von Thünen’s model.Use the map of Georgia to consider different applications of von Thünen’s model.Assuming an absence of topographical features, in one to two sentences describe how different types of farming would be arranged around Atlanta, according to von Thünen’s model.In 2–3 sentences, describe how the site factors near Savannah would affect the distribution of types of farming around Savannah’s city center, according to von Thünen’s model.
