Pitt BIOSC 1320 - Exam 1 Study Guide (19 pages)

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Exam 1 Study Guide



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Exam 1 Study Guide

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This study guide covers lectures 1-5 of Population Biology for the first exam. It includes density independent population growth, density dependent growth, density dependent mechanisms, and population life tables.


Pages:
19
Type:
Study Guide
School:
University of Pittsburgh
Course:
Biosc 1320 - Population Biology

Unformatted text preview:

BIOSC 1320 Exam 1 Study Guide Lectures 1 5 Lecture 1 August 26th Historical Origins of Population Theory T R Malthus Principle The Origin of Species Darwin Hierarchal Organization of Organisms Nested Individuals Populations Species Guild Communities Ecosystems Biomes Evolutionary Phylogenetic Genes Individuals Populations Species Genera Families Orders Class Phyla Kingdom Population Ecologically interacting individuals of the same species Evolutionarily conspecific individuals that form an interbreeding group Population sampling method Easiest with plants Telemetry Camera traps to census cryptic population DNA analysis of fur skin Nets Mark recapture experiments o M2 n2 n1 N o Dispersal pattern affects sampling Surrogate measures can affect precision ex Scat count Statistical measures Lecture 2 August 28th Density Independent Growth Models Exponential Geometric Imagine a chemostat with 2 algal species they grow at different rates why o Competition o Birth death rates A real life factor would be immigration emigration N B I D E B D I E o change in population size is equal to the number of births and immigrations minus the number of deaths and emigrations Assumptions individuals have same probability of death and reproduction vital rates do not change overtime no structure genetic age size continuous growth no lag time emigration immigration are in balance or zero N B D B bN b instantaneous birth rate individual per capita birth rate D dN d instantaneous death rate individual per capita death rate N B D dN dt rN r intrinsic rate of increase or instantaneous growth rate r b d r can be less than greater than or just zero take the integral to predict the population time in the future lnNt lnNt0 rt rt0 if t0 0 then Nt Nt0ert Describes exponential population growth this equation allows you to predict population size Geometric growth rate of discrete cohorts Cohort a group of individuals in a population all born at the same time that are followed until death Seasonal



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