organism biosphere Bio biosphere ecosystem community population Studying organisms in their environment organism.

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Presentation transcript:

organism biosphere Bio biosphere ecosystem community population Studying organisms in their environment organism

Populations A group of the same kind of organisms living in the same place at the same time. EVOLVE! Allele frequencies can be described by the Hardy-Weinberg Equilibrium: p 2 + 2pq + q 2 = 1 Will remain the same if no migration, no selection, random mating. No evolution Measured by random sampling Not realistic but, offers a standard to compare rates of evolution to – Null Hypothesis Grow exponentially or logistically (carrying capacity) Occupy niches in ecosystems

Life takes place in populations Population – group of individuals of same species in same area at same time  rely on same resources  interact  interbreed  rely on same resources  interact  interbreed Population Ecology: What factors affect a population?

Population Size Changes to population size – adding & removing individuals from a population birth death immigration emigration

Population growth rates Factors affecting population growth rate – sex ratio how many females vs. males? – generation time at what age do females reproduce? – age structure how females at reproductive age in cohort?

Population growth change in population = births – deaths Exponential model (ideal conditions) dN = r i N dt N= # of individuals r= rate of growth r i = intrinsic rate t= time d= rate of change growth increasing at constant rate intrinsic rate = maximum rate of growth every pair has 4 offspring every pair has 3 offspring

African elephant protected from hunting Whooping crane coming back from near extinction Exponential growth rate Characteristic of populations without limiting factors – introduced to a new environment or rebounding from a catastrophe

Introduced species Non-native species – transplanted populations grow exponentially in new area – out-compete native species loss of natural controls lack of predators, parasites, competitors – reduce diversity – examples African honeybee gypsy moth zebra mussel purple loosestrife kudzu gypsy moth

Zebra musselssel ecological & economic damage ~2 months  reduces diversity  loss of food & nesting sites for animals  economic damage  reduces diversity  loss of food & nesting sites for animals  economic damage

Purple loosestrife  reduces diversity  loss of food & nesting sites for animals  reduces diversity  loss of food & nesting sites for animals

Regulation of population size Limiting factors – density dependent competition: food, mates, nesting sites predators, parasites, pathogens – density independent abiotic factors – sunlight (energy) – temperature – rainfall swarming locusts marking territory = competition competition for nesting sites

K = carrying capacity Logistic rate of growth Can populations continue to grow exponentially? Of course not! effect of natural controls no natural controls What happens as N approaches K?

Time (days) Number of cladocerans (per 200 ml) Maximum population size that environment can support with no degradation of habitat – varies with changes in resources Time (years) Number of breeding male fur seals (thousands) Carrying capacity What ’ s going on with the plankton?

Human population growth What factors have contributed to this exponential growth pattern? 1650  500 million 2005  6 billion Industrial Revolution Significant advances in medicine through science and technology Bubonic plague "Black Death" Population of… China: 1.3 billion India: 1.1 billion adding 82 million/year ~ 200,000 per day! adding 82 million/year ~ 200,000 per day! Doubling times 250m  500m = y () 500m  1b = y () 1b  2b = 80y (1850–1930) 2b  4b = 75y (1930–1975) Doubling times 250m  500m = y () 500m  1b = y () 1b  2b = 80y (1850–1930) 2b  4b = 75y (1930–1975) Is the human population reaching carrying capacity?

Populations evolve Natural selection acts on individuals – differential survival “survival of the fittest” – differential reproductive success who bears more offspring Populations evolve – genetic makeup of population changes over time – favorable traits (greater fitness) become more common Presence of lactate dehydrogenase Mummichog

5 Agents of evolutionary change MutationGene Flow Genetic DriftSelection Non-random mating

Variation & natural selection Variation is the raw material for natural selection – there have to be differences within population – some individuals must be more fit than others

Mean beak depth of parents (mm) Medium ground finch Dry year Wet year Beak depth Beak depth of offspring (mm) Where does Variation come from? Mutation – random changes to DNA errors in mitosis & meiosis environmental damage Sex – mixing of alleles recombination of alleles – new arrangements in every offspring new combinations = new phenotypes – spreads variation offspring inherit traits from parent

1. Mutation & Variation Mutation creates variation – new mutations are constantly appearing Mutation changes DNA sequence – changes amino acid sequence? – changes protein? changes structure? changes function? – changes in protein may change phenotype & therefore change fitness

2. Gene Flow Movement of individuals & alleles in & out of populations – seed & pollen distribution by wind & insect – migration of animals sub-populations may have different allele frequencies causes genetic mixing across regions reduce differences between populations