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Distributions, physiological ecology, and allometry • • • • • Individual species distributions Ecological implications of body size Body size patterns Allometry and allometric patterns Allometry of metabolic rate Metabolic Rate O2 Examples of Allometry • Physiological metabolic rate brain size heartbeat Ecological mammal litter size lifespan bird clutch mass Populations density -0.30 0.25 0.75 -0.98 Metabolic rate – comparisons across animals of different body sizes log O2 mass b 0.75 0.73 -0.25 log mass • Metabolic rate ! a*(mass)0.75 Note: both axes are on log scale Mass specific metabolic rate Mass specific metabolic rate – comparisons across animals of different body sizes • To get mass specific metabolic rate (e.g. how much it costs to run each gram of tissue), divide by mass: Met rate/mass ! a*(mass)0.75/mass ! (mass)-0.25 log O2 /mass log O2 log mass log mass Note: y-axis is not log-transformed, so relationship is not linear in this graph Mass specific metabolic rate Implications of b = 0.75 for whole organism and b = -0.25 for mass specific MR: 1. Diet: tiny organisms need energy rich fuel! Mass specific metabolic rate Implications of b = 0.75 for whole organism and b = -0.25 for mass specific MR: 2. Bigger things can last longer! fat stored ! mass1 Endurance time ! mass/metabolic rate ! mass1/mass0.75 = m0.25 log mass /log O2 log mass Behavioral and Evolutionary Ecology • • • • • What is behavioral/evolutionary ecology? Optimality models Example with clutch size in birds Optimal foraging Do animals gamble? Behavioral and Evolutionary Ecology • • 1. Variation in a trait 2. Heritability of trait 3. Fitness consequences " The resulting genotypic and phenotypic changes Behavioral and Evolutionary Ecology • • Focus is on adaptations Ideally we would like to study the entire process of natural selection 1. Variation in a trait 2. Heritability of trait 3. Fitness consequences " The resulting genotypic and phenotypic changes Focus is on adaptations Ideally we would like to study the entire process of natural selection Behavioral and Evolutionary Ecology • Often this is not possible to study the entire process of natural selection because: 1. 2. 3. Behavioral and Evolutionary Ecology • An alternative is to focus on phenotypic selection (i.e. the fitness consequences of variation in a trait) Behavioral and Evolutionary Ecology These questions have at least two answers or two levels of analysis: • Example: Why do birds sing in spring? • 1. Functional / Ultimate level: • 2. Proximate level (e.g. how): • • This is the Optimality Approach – – – Optimality Approach: Example with clutch size in birds Optimality Approach: Example with clutch size in birds • Model (theoretical) approach • • – Models are “cartoons” of the world – Try to simplify thing by looking at a few key factors (parameters) – Graphs, math, paragraph of ideas – Allows us to seek generalities – Must clarify assumptions! Clutch size optimality model (Lack – 1950’s) Pattern: robins lay 4 eggs per nest – • Why 4? Why not more or less? Prediction: 4 is maximum number of chicks that parents can adequately feed – – – Kids = fitness Limit to how much food parents can provide Want lots of kids, but want quality kids too Optimality Approach: Example with clutch size in birds Optimality Approach: Example with clutch size in birds • • Clutch size optimality model Clutch size optimality model – – – " Currency = kids that survive to next year Constraint = rate at which parents can feed Decision variable = how many eggs to lay Want to optimize # eggs given food availability " Parents want to optimize # eggs given food availability The theoretical model # Chicks surviving to next year 2 Optimality Approach: Example with clutch size in birds • Clutch size optimality model – Next step: test the model – How? Go to nests and add or subtract eggs, measure how many chicks survive # Chicks surviving to next year 3 4 # Eggs laid 4 # Eggs laid 5 6 Optimal foraging • Foraging can be crucial to an organism’s fitness • Organisms must make critical decisions while foraging • Example: central place forager such as a mother bird feeding her chicks – – Possible results 2 3 5 6 Food patch Nest Food patch Optimal foraging • Example: mother bird feeding her chicks – Currency: max rate of food return to nest – Decision: How long to stay in a patch – Constraints: Rate of forage in a patch diminishes with time In Travel Optimal foraging • Predictions of Optimal Foraging Model: – Comparing near vs. far patches – Assuming that each patch has same amount of food Patch A: Near Patch B: Far # Worms In Travel In Patch Time Spent Test of the optimal foraging model • Prediction: For a given quality of patch, birds should • Study done on European starlings (Kacelnick) In Patch Time Spent Test of the optimal foraging model • Prediction: For a given patch, birds should • Experimental Design of study on starlings: – Treehole nesters (can use bird boxes) – Distance A Nest Distance C Distance B Do animals gamble? Test of the optimal foraging model • Results: • Risk sensitive foraging: when a foraging animal is sensitive to the variability in the food reward, not just the average of the reward • The “risk” here refers to the chance of the animal receiving a low foraging payoff (not risk of being preyed upon) Do animals gamble? Do animals gamble? • Experiment to test whether or not animals have risk-sensitive foraging: – Currency = consistency of food intake – Treatments: hold mean intake rate the same, but vary constancy Constant average = Risky average = Constant Tray CAGE Risky Tray • Results: “Risk-prone” “Risk-adverse” % Time visiting risky tray High Low Food intake rate prior to experiment