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bio 207 week 13 lecture notes

by: Notetaker

bio 207 week 13 lecture notes 207/41320

Marketplace > University of St. Thomas > 207/41320 > bio 207 week 13 lecture notes
User_39347_profile9613 Notetaker
GPA 4.0
Genetics Ecology Evolution

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- ecology/ population ecology
Genetics Ecology Evolution
Class Notes
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This 5 page Class Notes was uploaded by Notetaker on Saturday December 5, 2015. The Class Notes belongs to 207/41320 at University of St. Thomas taught by Lewis in Summer 2015. Since its upload, it has received 36 views.


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Date Created: 12/05/15
Biology Week 13 Lecture Notes 0 Ecology o The relationship between an organism and its environment how they interact o Organismal ecology 0 Unique genome 9 but shared with family 0 How do you get good bacteria Mother s milk and vagina 0 Population ecology o Studying interactions of populations 0 Community ecology 0 Communities all living things in an area 0 Studies biotic living things 0 Ecosystem ecology 0 Community ecology and abiotic non living 0 Landscape ecology 0 Form of ecosystem takes into account the human side 0 Global ecology o All of the living things on earth 0 Physiologicalecology 0 Studies adaptation of an organism s physiology to environmental conditions Difference in the ways Organisms Metabolize o Homeotherm holds a constant temperature 0 Heterotherm multiple variable body temperature o Endotherm produce their own heat 0 Ectotherm rely on heat from the environment 0 Ideal human body temp 986 F created by Farenheit 37 C Above 40 C organs denature cook Small mammals endo and hetero therms Nothing is purely ectothermic Everything with metabolism a little endothermic Critters fall all over the scale Best measure of metabolism oxygen consumption Endothermic metabolism increases if cold or hot anything higher or lower energy Cost and benefit to being an endotherm Which is better Depends on your environment Why is it beneficial Active at any different temperature and a lot of energy output over sustained times Endo more resistance to environment speed and ability to sustain large cost Two Ways to Enter a Population 1 Immigration leaving is emigration 2 Birth death leave Population Dynamics Changes in a population 3 Types of Changes 1 numeric how many are in the population individuals matter 2 structural age sex breakdown 3 distributional where are the individuals located genet genetically unique ramet an individual 9 count by energy use of mouths to feed 0 largest single mouth to feed ecologically thinking blue whale 0 aspen tree or lichen evolutionarily thinking Why 2 Sexes More risks no benefit 2 evolutionarily stable pheromones emitted to pretend like other species equal sex ratio only occurs in a population where everyone gets to breed males and females contribute the same 0 sex of offspring genetically controlled Formula Population Dynamics change in number of individuals births deaths immigrants emigrants shows change over time o of ind numeric o births deaths structural o emmigrants immigrants distributional Tools Used 1 numerical stationary J curve 9 shows exponential growth if resources were infinite I optimize for quantity I generalists I ex mice cockroaches 5 curve 9 resources are finite 9 population will eventually slow I Optimize for quality I Specialists for rainforests ex wolves humans Census Formula 0 K carrying capacity of species that can live in the long run 0 Specialists k selected 0 R slope of curve 0 Generalists r selected Carrying capacity decreases the quality of the environment US uses 40 x more than Pakistan Exceeded carrying capacity around 3 billion years ago by environmental damage Virtually unlimited with technology Because of technology humans become generalists 2 Distribution Isolate GIS Dispersion 3 types of Dispersion o 1 Clumped probability much higher someone else is close to you than far away 0 2 Uniform resources are spread out o 3 Random no knowledge least common in nature global population 73 billion US population 32 millino Most populous country China Structural Stable Age Pyramid Life tables predict probability of age Survivorship curve percentage life span 3 types 1 high infant mortaility type 3 2 constant mortality type 2 rare bacteria 3 low infant mortality type 1 humans


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