Conservation Biology, BIOL 447/BIOL 521


Class Hours & Location: MWF 12:00- 12:50, (note two different rooms) M: Linfield 301  WF: Lewis  407.

 

Instructor: Dr Scott Creel 302 Lewis Hall, Phone: 994-7033. Email: screel@montana.edu

 

Office Hours: T 10-12, W 2-3.  I am always happy to answer questions immediately after class, by email, or by appointment at other times.

 

Text: The reading will be a mix of journal articles with textbook chapters for background. Required reading (journal articles, book chapters) that does not come from the textbook will be linked from this web page (links in the syllabus below).  The textbook is Conservation of Wildlife Populations, by L.S. Mills  (Blackwell Publishing, ISBN 1-4051-2146-7).


Graduate students:   We will use MATHCAD to construct some simple mathematical models of population dynamics, to model extinction risk.  You do not need to know MATHCAD ahead of time to do these exercises.  As much as possible, I want to focus on the way that the models describe the population biology, rather than the programming & syntax, but it is generally very useful to master at least one programming application such as MATHCAD, Mathematica, etc.  The MATHCAD models of population dynamics will be independent study, parallel to in class lectures.  MATHCAD is available for free in the MSU student computer labs, and is installed on the machines in Lewis 407.  You can purchase a student license if you want to run it on your own computer.

Undergraduates:  We'll use POPTOOLS, a free add-in to MS Excel, to model extinction risk.  I am assuming that you have some basic experince with Excel.  If not, you should take some time during the early part of the semester to familiarize yourself.

Grading:
BIOL 447: Two in class exams (25% each), a paper (20%), one take home test (20%), homework (10%).  The take home test will be to construct a model to estimate a species' extinction risk from demographic data, using Excel and POPTOOLS (Biol 447).

BIOL 521:  Two in class exams (25% each), a paper (15%), one take home test (15%), homework (10%) and an in-class presentation (10%).  The take home test will be to construct a model to estimate a species' extinction risk from demographic data, using MATHCAD (Biol 521).  The paper will have extra requirements for graduate students.  Graduate students will make a 20 minute presentation to class toward the end of the semester


Course Outline:  

 

We will cover some or all of the following major subjects, depending on time:


Human population growth - the 'arms race' between growth rates and carrying capacity

Biodiversity   methods of measurement, broad patterns, and processes that maintain diversity
Extinction
– recent and historical rates and causes of extinction and population decline.
Global warming and its consequences for ecology and conservation.  This will  focus primarily on understanding the carbon cycle and atmospheric processes, how anthropogenic influences are altering these, and the consequences for ecological processes (mainly the distribution and abundance of species).  We'll address ecological economics to some extent

Speciation and the ESA – the process generating diversity, and tricky interactions between phylogeny, taxonomy and law.

Genetic issues in conservation – inbreeding, hybridization, and the use of molecular genetic tools in conservation.
Extinction risk  demography, population dynamics, stochasticity and PVA
Predation and Harvesting – population dynamics with interspecific interactions, discounting, externalities, publicly held goods

Community-level approaches – Diversity and Stability

Landscape approaches – hotspots, gap analysis


These fall into five main sections:  general issues, human impacts, genetic and evolutionary approaches, single-species approaches, and multi-species or location-based approaches.

 

CWP L.S. Mills, Conservation of Wildlife Populations.  


Research Paper Instructions

(Updated on 10 September: Note that the instructions differ for BIOL 447 and 521.  Also, the paper is 20% of the total score in BIOL 447, 15% in BIOL 521.)

Topic 1
Conservation Biology & Human population growth - a race between N & K (see notes above).
CWP CH 1

Cohen 1995.  Population growth and the earth's carrying capacity.  Science 269: 341-346. pdf
Optional paper (only 2 pages):  Haub, C. 2002.  How many people have ever lived on earth?  Population Today, Nov/Dec 2003.  pdf   This paper estimates (with much uncertainty) that 6% of all people ever born are alive now.


Topic 2
Biodiversity: how many species, what patterns?  Extinction rates and causes. (see last couple of pages)
CWP CH 13
Pimm et al. 1995.  The future of biodiversity.  Science 269: 347-350.  pdf
Iverson, C 2004.  Coarse and fine filter approaches to conserving biodiversity.  USFS NFMA planning document. pdf
Course/fine filter notes
Arrow et al 1995.  Economic growth, carrying capacity and the environment.  Science 268: 520-521 pdf
Balmford et al. 2002.  Economic reasons for conserving wild nature. Science 297: 950-953. pdf

Topic 3
Global warming and its implications for conservation.  Optional reading:  Archer, D (2007).  Global warming: understanding the forecast. Blackwell publishing, Malden, MA. (ISBN 978-1-4051-4039-3).  This is an excellent and well-written introductory textbook that goes though global warming starting with the basic chemistry and physics, and proceeding  to the atmospheric science.
Part 1: Overview

Kaufman et al. 2009.  Recent warming reverses long term arctic cooling.  Science 325: 1236-1239.  pdf

Part 2: How does it work?  The basics - blackbody radiation and greenhouse gasses.
Part 3:  How does it work?  Simple models of the atmosphere - the layer model.
Part 4:  Refining the models.  The lapse rate.  Feedbacks.  Global Circulation Models.
Part 5:  Back to the causes: economic development, energy consumption and the environment
Part 6:  Biological responses.

    Overview - Parmesan & Yohe 2003.  A globally coherent fingerprint of climate change impacts across natural systems.  Nature 421: 37-42.
    Bark beetles, climate & forest dynamics -
        Kurz et al. 2008. Mountain pine beetle and forest carbon feedback to climate change. Nature 452: 987-990. pdf
       Allen C & Breshears D. 1998. Drought-induced shift of a forest–woodland ecotone:Rapid landscape response to climate variation. PNAS  95: 14839–14842  pdf (optional)
    Distributions of marine fish -
       Perry et al. 2005. Climate change and distribution shifts in marine fishes. Science 308: 1912-1915. pdf
    Pikas and montane habitat reduction/isolation -

       Beever et al. 2003. Patterns of apparent extirpation among isolated populations of pikas (Ochotona princeps) in the Great Basin. Journal of Mammalogy, 84:37–54.  pdf    
       Grayson, D. 2005. A brief history of Great Basin pikas. Journal of Biogeography 32: 2103–2111 pdf (optional)

Study guide for Exam 1 (We have not done the genetics part of this yet, so only use the portion on human population growth and numbers of species, extinction rates).
Study guide for climate change portion of Exam 1

Exam 1  Short answer and essay.  IN CLASS, FRIDAY 10/2

Topic  4

CWP CH 3
Species and The Endangered Species Act. pdf

Classification methods

Naugle & Ruhl 2002.  Identifying species: United States vs Guthrie.  In : The Law of Biodiversity and Ecosystem Management. (handed  out).
Rocky Mountain Wolves: Earthjustice vs USFWS.  pdf This case is currently being decided (unresolved as of 9/22/09)


Topic 5

Hybridization
Hedrick PW 2001.  Conservation genetics: where are we now?  Trends Ecol. Evol. 11: 629-636. pdf

Allendorf et al. 2001.  The problems with hybrids: setting conservation guidelines.  Trends Ecol Evol. 16:613-622. pdf

Hybridization – including red wolf case study

Fredrickson & Hedrick 2006.  Dynamics of hybridization and introgression in red wolves and coyotes.  Cons. Biol 20: 1272 - 1283. pdf

Topic 6

Inbreeding

CWP CH 9
F - statististics

Keller & Waller 2002.  Inbreeding effects in wild populations.  Trends Ecol Evol 17: 230-241.

Inbreeding – cheetah case study

Caro & Laurensen 1994.  Ecological and genetic factors in conservation: a cautionary tale.  Science 263:485-486.

Homework: inbreeding coefficients and F statistics  (DUE Friday 10/23 in class)


Topic 7

CWP CH 4,5,6

PVA and extinction risk in small populations

Population viability analysis  - introduction


BIOL 521:Computer Lab:  MathCAD tutorial, Introduction_Chapter6.MCD

"Getting Started" Tutorials are in the help menu in MathCAD.  (The "Quicksheets" are also useful when looking at specific questions once you know the software a bit.)
Introduction to ecological modelling in MathCAD is here.



Count-Based PVA



A simple count based PVA in Excel.  You  will need to download and install POPTOOLS to run this spreadsheet and most of the other Excel spreadhseets posted here.  Poptools is an interesting add-in for Excel that provides menu-driven tools for many common demographic analyses (such as the Leslie Matrix projections we will be starting next week).   It has good tutorials.


BIOL 521: A count based PVA in MatchCAD:  PVA_Chapter17.MCD  - work through this exercise by writing the code yourself, checking them as you go, if necessary,  with the key.

Notes to correct a simple but important logical error in Sinclair, Fryxell & Caughley's key for the model of stochastic exponential growth in PVA_Chapter17. MCD.



Eberhardt's density dependence modified.xls  - Excel spreadsheet illustrating the 'induced correlation' between population growth rate and N
when one samples from a normal distribution of N (as opposed to a normal distribution of growth rates).


BIOL 521: Computer lab:  Biol 580 D-D PVA.xmcd  - work through this exercise, which adds density-dependence to the simple count based PVA model, by following the provided code.  I've also posted the worksheet as an mcd file here. (If the XML file won't open).


PVA – basic demography

CWP CH 7

PVA –  population growth models &  Leslie matrix projection of population growth


Populus has a good module on age-structured growth  (under Single species dynamics).  With three tabs at the bottom, you can edit a life table, view the changes in the llife cycle diagram and in the Leslie matrix. To the right you can plot the associated lx curves, mx curves, age distributions, etc.  A good learning tool to soldify your grasp on the ways that a life table and a Leslie matrix incorporate the information from a life cycle diagram.


Leslie matrix notes.


Gotelli 1995.  Age-structured population growth,  pp. 56-71, In: A primer of ecology.  Sinauer, Sunderland MA.  (read Mills section on this instead)

Beissinger S & Westphal MI 1998.  On the use of demographic models of population viability in  endangered species management.  J. Wildl. Mgmt. 62:821-841 pdf  (optional)


Leslie calculator - a tool to understand age-structure growth  This is a GREAT tool to understand stable age distributions. Project for several time steps with no changes to the Leslie matrix.  Then modify the Leslie matrix and repeat the exercise.

Basic Leslie matrix Excel spreadsheet - understanding deterministic population projections. Another tool to understand Leslie projections, using a simple spreadsheet approach  to implement the projections. Allows you to fiddle with adding a harvest, but you can ignore that for now.


BIOL 447: Example Excel spreadsheet using POPTOOLS to analyze demographic data from African wild dogs.  There are two spreadsheets in this workbook that you need to look at: one (labelled 'Elasticity and Sensitivity) with the basic analyses of the Leslie Matrix (r, R0, lambda, stable age distribution), elasticity and sensitivity, and one (labelled 'Monte Carlo') with the stochastic population projection.

BIOL 521: Computer Lab: Leslie Matrix CH 14.  Work through this tutorial by writing the required code and checking with the key.  Try to write the appropriate code for each numberd step before looking it up in the key, but use the key to understand and correct any errors before moving to the next step.

BIOL 521: Computer Lab: BIOL 580 basic demography.MCD  Work through this with understanding, just playing with the code as needed to test your understanding as you go.  By the finish you should have all the tools  to do a simple demographic PVA based on stochastic Leslie projections.


Brook, BW et al. 2000.  Predictive accuracy of population viability analysis in conservation biology.  Nature 404: 385-387. pdf
Coulson et al. 2001.  The use and abuse of population viability analysis.  Trends. Ecol. Evol. 16:219-221.  pdf


EXAM 2 - Take home.  Passed out November 18th.  Due in class November 23rd.  I prefer that you turn in a paper copy and a copy of your file(s) on a CD.
 

You must work individually on the take home test! 
 
BIOL 447 version   NOTE: Do not use the 'convert life table to leslie matrix' tool in POPTOOLS.
BIOL 521 version as mcd file


Topic 8

Harvesting & sustainable offtake part 1

CWP  CH 8, 14

Ludwig 2001.  Can we exploit sustainably?  Pp 16-38 in Reynolds, Mace, Redford & Robinson (eds) Conservation of Exploited Species.

Harvesting & sustainable offtake part 2

Harvest economics: stocks and discounting.

BIOL 521: Computer Lab: SFC Chapter 19 Tutorial  and the brief handout for this lab.

Brashares J, et al. 2004.  Bushmeat hunting, wildlife declines and fish supply in West Africa.  Science 306: 1180-1183.


Topic 9
Parasitism & Disease
May R. 1983.  Parasitic infections as regulators of animal populations.  American Scientist 71: 36-45.  Passed out in class.
Haydon, DT et. al. 2006.  Low coverage vaccination strategies for the conservation of endangered species.  Nature 443:692-695. pdf


Topic 10

Community Ecology – diversity and stability at population and community levels

More notes on diversity & stability  
CWP: CH 10

Tilman 1996.  Biodiversity: population vs. ecosystem stability.  Ecology 77:350-363.

Community Ecology – interactions among species and consequences of species loss

Berlow 1999.  Strong effects of weak interactions in ecological communities.  Nature 398:330-334.

Notes on 'weak interaction' effect in diversity-stability relationship.

Topic 11

Habitat Fragmentation and Island Biogeography

Gotelli 1995.  Island Biogeography.  In: A Primer of Ecology, chapter 7, pp 172-195., Sinauer, Sunderland MA.   Passed out in class.

Habitat Fragmentation and Island Biogeography  2

Watling JI & Donelly, AI 2006.  Fragments as islands: a synthesis of faunal responses to habitat patchiness.  Conservation Biology 20:1016-1025.


Topic 12

Landscape Ecology – gap analysis, hotspots and coldspots

Dobson et al. 1997.  Geographic distribution of endangered species in the United States.  Science 275: 550-553.

van Jaarsveld et al. 1998.  Biodiversity assessment and conservation strategies.  Science 279:2106-2108.
Landscape Ecology – gap analysis for Idaho case study (notes are with hotspots & coldspots, above).

Kiester et al. 1996.  Conservation prioritization using GAP data.  Conservation Biology 10:1332-1342
Worm et al. 2005
.  Global patterns of predator diversity in the open oceans.  Science 309: 1365-1369.



Final study guide

EXAM 3 - final exam is on Monday Dec 14th 8:00-9:50 AM in the regular Linfield Hall room.