S(w) = 0.7 * In(w) where w is offspring weight and S(w) is survival probability. 0.9 egg 0.675 3.1. According to these r

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S W 0 7 In W Where W Is Offspring Weight And S W Is Survival Probability 0 9 Egg 0 675 3 1 According To These R 1 (79.36 KiB) Viewed 59 times

S(w) = 0.7 * In(w) where w is offspring weight and S(w) is survival probability. 0.9 egg 0.675 3.1. According to these results, what is the optimal weight? Optimal, in this case, being the one that maximizes total number of eggs surviving hatching. Assume fixed total amount of resources that go eggs production. Show work! the to Survival probablity 0.45 into 0.225 0 0 3. Your answer here. Please keep your text in this box bluferreicht, mg 3.2. Add to the plot a graphic representation of your result to the figure. 3.3. Explain your result verbally by filling in blanks: 3.3. Your answer here. There is an optimal investment per offspring, putting more weight than that into each offspring does not pay off because the does not compensate for the 7. This is because survival of eggs show (accelerating diminishing for returns on are weight 田 3.4. Clearly you used Marginal Value Theorem to find the answer for 3.1. Name 2 biologically important assumptions behind this calculation that have to do with the shape of the survival vs. egg weight curve and with egg weight vs. egg number trade-off. min sempio