Kazi Sakiouzzaman BIO 356 022308 Lab 3: Population Regulation 1. Use the curve in Figure 1 below to calculate R, the growth rate, and the population abundance in the next time step under the followi
BIO 356, Summer 2010 Homework 1 Juhee Kang 106977136 Mating in a population of semalparous frogs occurs each spring. The probability that an egg develops and that the resulting frog survives until the
Lab 6: Metapopulations 1. Whooping cranes have been saved from extinction by a series of captive breeding programs. In an effort to reestablish wild populations, conservation biologists have been int
Lab 2: Variation 1. Define in your own words demographic stochasticity. Does demographic stochasticity tend to have a larger, smaller, or equal effect on a large compared to a small population? Demogr
Lab 1: Exponential Growth
1. What is R? What two components of R did we manipulate in this lab? R is defined as the rate of change of a specific population over a given amount of time. A positive gro
Kazi Sakiouzzaman BIO 356 030508 Lab 4: Age Structure 1. What are the similarities and differences between the Leslie matrix model and the Malthusian growth model? What is the advantage of the Lesli
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2016
Lab 02
#1
The Muskox
population varied by
a range of 3041 in
one year. This
variation is due to
survival and
fecundity rates in
each timestep.
Demographic
stochasticity is the
variation in population
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2014
FINAL STUDY GUIDE
Assumptions of the exponential population growth model
N(t) = N(0) * Rt
o Continuous reproduction (no seasonality)
o All organisms are identical (no age structure)
o Environment is c
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2014
FINAL STUDY GUIDE
Assumptions of the exponential population growth model
The shape of the population trajectory when a population is growing exponentially
Using the exponential growth model to calcula
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2014
Jenniffer Barco
BIO 356 Section 1
January 29, 2017
HW 1
Assignment # 1 for Exercise 1.1:
1) a) N(t) = 50,000, N(1963) = 10,000, for R = 1.02 and for R = 1.10 t = ?
N(t) = N(0) R^t
R^t = N(t)/ N(0)
For
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2014
JennifferBarco
3/1/2017
Homework#4:AgeStructure
Assignment:
1. Usethisdatatocalculatetheaveragesurvivalandfecundityforeachageclassinthis
population
AverageSurvival
Age
1998
1999
2000
Mean
Class
0
59/8
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2014
BIO 356/BEE 587 Final Exam Study Guide
Below are some concepts and skills that you should be familiar with before heading into the
final exam. The exam will be cumulative, so in addition to the materi
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2014
BIO 356/BEE 587 Final Exam Study Guide
Below are some concepts and skills that you should be familiar with before heading into the final
exam. The exam will be cumulative, so in addition to the materi
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2010
1) R=n(t+1)/n(t) N(t)= 60, n(t+1)/n(t)= 2.4 Therefore, the population abundance at the next time step is: 60*2.4= 144 N(t)=400, n(t+1)/n(t)= .8 Therefore, the population abundance at the next time ste
Applied Ecology and Conservation Biology Laboratory
BIO 356

Spring 2016
Applied Population Ecology
Principles and Computer Exercises using
RAMAS EcoLab 2.0
Second Edition
H. Resit
Re Akakaya
Applied Biomathematics
Mark A. Burgman
University of Melbourne
Lev R. Ginzburg
St