Problem 70

Question

Biodiversity Some biologists model the number of species \(S\) in a fixed area \(A\) (such as an island) by the species- area relationship $$\log S=\log c+k \log A$$ where \(c\) and \(k\) are positive constants that depend on the type of species and habitat. (a) Solve the equation for \(S\) (b) Use part (a) to show that if \(k=3\) , then doubling the area increases the number of species eightfold.

Step-by-Step Solution

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Answer
(a) \(S = c \times A^k\); (b) Doubling area with \(k=3\) increases species eightfold.
1Step 1: Rearrange Equation to Solve for S
We start with the equation \(\log S = \log c + k \log A\). To isolate \(S\), we apply the property of logarithms that states: \(\log x = y\) implies \(x = 10^y\). Thus, we rewrite this as \(S = 10^{\log c + k \log A}\).
2Step 2: Apply Logarithmic Addition Rule
Since \(10^{\log c + k \log A} = 10^{\log c} \times 10^{k \log A}\), we can express it as \(S = c \times A^k\). This results directly from properties of exponents and logarithms: \(10^{\log x} = x\) and \(10^{a + b} = 10^a \times 10^b\).
3Step 3: Verify Effect of Doubling Area with k=3
Now substitute \(k = 3\) into our expression: \(S = c \times A^3\). If the area \(A\) is doubled, we replace \(A\) with \(2A\): \(S' = c \times (2A)^3\).
4Step 4: Calculate the Effect of Doubling
When you double the area, \(S' = c \times 8A^3\), because \((2A)^3 = 8A^3\). Therefore, \(S' = 8 \times (c \times A^3) = 8 \times S\), showing that doubling the area results in an eightfold increase in the number of species.

Key Concepts

Logarithmic PropertiesExponent RulesBiological ModelingSpecies Diversity
Logarithmic Properties
Logarithms help us work with very large or very small numbers, making them easier to understand and manipulate. They are essentially the inverse operations of exponentiation, acting to 'undo' the effect of raising numbers to powers. In the context of the species-area relationship, the equation \( \log S = \log c + k \log A \) converts multiplicative relationships into additive ones by using properties of logarithms. This property lets us easily determine how changes in area affect biodiversity. The primary logarithmic properties we use here include:
  • \( \log(ab) = \log a + \log b \): This allows us to separate the components \( c \) and \( A^k \) in a single logarithm.
  • \( \log(a^b) = b \log a \): This helps us focus on the influence of parameter \( k \) in the species-area relationship, highlighting how changes in area magnitude affect species numbers.
These properties simplify the equation, making it easier to predict how species diversity changes with area.
Exponent Rules
Exponent rules are foundational in algebra and help simplify expressions involving powers of numbers. In our species-area relationship model, exponent rules transform the logarithmic expression back into a power relationship. When we solve for \( S \), the expression \( 10^{\log c + k \log A} \) uses exponentiation functions, converting back into a more intuitive form:
  • \( 10^{\log c} \) becomes \( c \), the base species count without additional area influences.
  • \( 10^{k \log A} \) becomes \( A^k \), expressing the effect of habitat area on species diversity.
This transformation explains how species numbers grow with area, providing insights into biodiversity patterns. For instance, when \( k = 3 \), and area increases, the species number grows eightfold, showing exponential reactions to changes rather than linear. This underscores the sensitivity of species diversity to habitat size.
Biological Modeling
Biological modeling is a powerful tool for understanding and predicting complex biological phenomena. By using mathematical equations, scientists can simulate various environmental and ecological conditions to study their impact on biodiversity. The species-area relationship is one such model, giving insight into how the number of species changes in a given habitat area. Through equations like \( S = c \times A^k \), biologists predict species richness based on area size and unique habitat constants.

This modeling helps make sense of observed data, supporting conservation efforts by highlighting areas where biodiversity is most sensitive to land-use changes. It provides a quantitative method to assess how different ecosystems might respond to habitat loss or expansion, guiding effective conservation strategies. Furthermore, it offers a theoretical framework within which we can study biodiversity's response to various external pressures, such as climate change and habitat fragmentation.
Species Diversity
Species diversity encompasses the variety and abundance of different species within a particular area. It's a critical indicator of ecosystem health and resilience, offering insights into genetic variation and potential for adaptation amongst species. The species-area relationship is a fundamental concept in ecology, articulating how geographical area size directly influences species count.

Diversity relies on various factors including habitat complexity, resource availability, and environmental conditions. Larger areas tend to harbor more diverse species due to more extensive resources and habitats. The species-area equation, \( S = c \times A^k \), quantifies this, indicating that even small changes in area can significantly impact biodiversity.

When modeled mathematically, these relationships inform conservation priorities by showing which landscapes can sustain greater species variety. Understanding species diversity allows scientists to initiate measures that preserve ecological balance and ensure the longevity of ecosystems in the face of ongoing environmental changes.