POPULATIONS.

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POPULATIONS

Key Features of Populations 1. Size - number of individuals in a population - determines ability of population to survive small populations: most likely to become extinct - more inbreeding increases bad alleles and reduces fitness 2. Density - number of individuals in a given area small populations: individuals rarely meet and reproduce due to low density

Dispersion - how individuals are arranged in a given area regular (uniform): evenly spaced intervals random: location in not orderly clumped: bunched in clusters

Populations are affected by: - growth rate - available resources - predators and disease

Population Density Number of individuals of a particular species per unit area or volume ex: number of alligators/km2 of swamp number of bacteria/cm2 of agar plate number of earthworms/cc of soil If there are 1000 beech trees in a 50 km2 forest, what is the population density of the beech trees? population density = individuals unit area

Tracking Population Growth Population Age Structure Pyramid X-axis : population Y axis: age males on left females on right shows the distribution of various age groups in a human population forms the shape of a pyramid when the region is healthy indication of the reproductive capabilities and likelihood of the continuation of a species

Limits to Population Growth Carrying capacity maximum number of organisms in a population that an environment can maintain or “carry” without a net increase or decrease

Factors That Affect Population Growth Limiting Factor: a condition that restricts population growth Density Dependant Factor factor that limits a population more as population density increases ex: food, water, space, disease

Factors That Affect Population Growth Density Independent Factor factors that limit population growth that are unrelated to population density ex: weather events, fires, floods, major changes in a habitat A population of aphids typically grows exponentially in the wet springs months. The population nearly dies off in the hot, dry summer. Weather is a density-independent factor that limits the aphid populations

MODELS IN POPULATION GROWTH Population Model: hypothetical population which exhibits key characteristics of a real population - allows demographers to predict outcomes that might occur in a real population

MODELS IN POPULATION GROWTH 1. Stage I model growth rate - birth rate vs death rate expressed as: # births and deaths/ 1000 people/ year

Stage II model (exponential) - population size vs time - J shaped curve - rate stays same and population size increases steadily - growth affected by predators, disease, and availability of resources - calculation to predict the number of individuals added to a population # = N x r (size of current pop.) (rate of growth) - carrying capacity (k) – pop. size an environment can sustain

Stage III model (logistical) - S shaped - exponential growth limited by a density dependant factor (food and water) - refers to ability of population to solve day to day problems of living Size below K: rapid growth rate Size near K: death rates rise, births decline growth of population slows At K: birth = death population stops growing - most realistic model in nature

Population Growth Cycles Boom and Bust Cycle - direct relationship between predator and prey - causes fluctuations in populations in stable ecosystems ex: increases in hare population are followed closely by increases in lynx population

Population Growth Patterns r strategists - rapidly growing populations - large population size - affected by density independent factors (weather, climate) - in good conditions, grow exponentially - in poor conditions, population size drops quickly - short life span, reproduce early, many offspring Ex: insects, plants, bacteria

k strategists - grow slowly - affected by density dependant factors (food, water) - small population size - population density near K (carrying capacity) - long life span, few young, slow maturation, repro. late in life, take care of young ex: whales , redwood trees

Genetics and Evolution Populations evolve - each individual in population has own assortment of alleles - as they reproduce and die, genetic makeup of population changes from generation to generation

POPULATION GENETICS study of changes of genetic makeup of populations Gene frequencies: each member of population has alleles which are common with others ex: if all members of population have gene to make certain enzyme frequency = 100% If only 1 in 100 individuals have gene frequency = 1/100, 0.01, 1% - over time the gene frequency for a particular allele changes

frequencies in a population. Modern evolution studies the gradual change in allele frequencies in a population.

Sources of Genetic Variation in Populations 1. Mutation DeVries (dutch botanist) 1900 introduced concept of mutation evening primroses occasionally plant appeared with totally new form plants bred true in future generations he considered sudden changes to be mutations major source in genetic variation most recessive

2. Gene flow through migration - new individuals (immigrants) add alleles to population - emigrants take away alleles from population 3. Genetic drift - random change in allele frequency 4. Natural selection - most powerful agent of genetic change - alleles most favorable to allow survival, reproduce and increase in population - reduces harmful genes in a population

HARDY WEINBERG LAW 1908: Hardy (English mathematician) Weinberg (German physician) - stated that the proportion of genes in a population doesn’t change much over generations (genetic equilibrium) - Hardy-Weinberg equilibrium describes the null model evolution. For a population to be in Hardy- Weinberg equilibrium, five conditions must be met:

5 Conditions for H.W.E. 1. No Genetic Drift (very large population size) 2. No Migration (no gene flow) 3. No Mutation 4. No Selection (no differential selection/ assortative selection) 5. Random Mating (no differential reproduction: all individuals should have equal chance of reproducing) If all five of these conditions are met, the allelic and genotypic frequencies will remain the same from generation to generation.

There are two formulas that must be memorized: The Hardy-Weinberg formulas allow us to detect some allele frequencies that change from generation to generation, thus allowing a simplified method of determining that evolution is occurring. There are two formulas that must be memorized: p2 + 2pq + q2 = 1 p + q = 1 p = frequency of the dominant allele in the population q = frequency of the recessive allele in the population p2 = percentage of homozygous dominant individuals q2 = percentage of homozygous recessive individuals 2pq = percentage of heterozygous individuals

Natural Selection Distribution Curves NORMAL BELL CURVE normal distribution of data: most of the examples in a set of data are close to the "average," while relatively few examples tend to one extreme or the other x-axis: the value in question y-axis: number of data points for each X value Ex: number people who eat X calories per day

Natural Selection Distribution Curves 1. Directional selection - eliminates one extreme of the phenotypes so it becomes less common - causes frequency of particular trait to move in one direction - characterizes evolution of single gene traits ex: pesticide resistance antibiotic resistance peppered moth shorter                                                                       longer Giraffe Neck Length

2. Stabilizing selection - eliminates extremes at both ends of phenotype - intermediate phenotypes increase - results in fewer extreme phenotypes shorter                                                                        longer Rabbit Leg Length

- eliminates average phenotype 3. Disruptive selection - individuals with either extreme variation of a trait have greater fitness than individuals with average form of trait - eliminates average phenotype - results in two extreme phenotypes (new species) smaller                                                                                 larger Size of Clams

Other Causes of Population Genotype Changes Founder effect (Ernst Mayr) - The establishment of a new population by a few original founders carry only a small fraction of the total genetic variation of the parental population - reason: a small number of individuals may colonize a place previously uninhabited by their species - result: the frequencies of the genes may differ from the parental population

Bottleneck effect: - an evolutionary event in which a significant percentage of a population or species is killed or prevented fro reproducing - effect: reduction of a population’s gene pool and the accompanying changes in gene frequency produced when a few members survive the widespread elimination of a species