Biological Richness, An Introduction James A. Danoff-Burg Dept. Ecol., Evol., & Envir. Biol. Columbia University.

Slides:



Advertisements
Similar presentations
Biodiversity.
Advertisements

Alpha Diversity Indices
SAMPLING Sampling is indispensable, as we cannot study all individuals of a population or all species of a community  Why ?  Objectives come from ecological.
Biodiversity Urban-Suburban-Rural In Baltimore City/County.
FIELD METHODS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources Division Forest and Rangeland.
Community Diversity dynamics of community species composition.
Impact of Fragmentation and Roads on Albany Pine Bush Dr. James Danoff-Burg Dept. Ecology, Evolution, & Environmental Biology Columbia University NY, NY.
Thesis  Erin Harrington  Advisors  Bobbi Low  Phil Myers.
Measuring Biological Diversity EEEB G6185 James A. Danoff-Burg Dept. Ecol., Evol., & Envir. Biol. Columbia University.
Rarefaction and Beta Diversity James A. Danoff-Burg Dept. Ecol., Evol., & Envir. Biol. Columbia University.
Community Ordination and Gamma Diversity Techniques James A. Danoff-Burg Dept. Ecol., Evol., & Envir. Biol. Columbia University.
Biodiversity. Are communities saturated? A closed system must balance the gains in energy from net production with those taken by consumers and decomposers.
Species Diversity of Beneficial and Pest Insects in Home Gardens Cameron, Rachael, Barney, Puja, Nathaniel James Johnson, Crystal, Christie, John, and.
OUR Ecological Footprint …. Ch 20 Community Ecology: Species Abundance + Diversity.
Chapter 4 Hypothesis Testing, Power, and Control: A Review of the Basics.
Calculating Diversity Class 3 Presentation 2. Outline Lecture Class room exercise to calculate diversity indices.
Species Richness, Simpson’s, and Shannon-Weaver…oh my…
Chapter 1: Introduction to Statistics
Estimating Abundance.
Copyright © 2010 Pearson Education, Inc. Slide
California Science Content Standards Today's lecture and activity will cover the following content standards: 5d) Students know different kinds of organisms.
Tuesday 11:00 – 1:50 Thursday 11:00 – 1:50 Instructor: Nancy Wheat Ecology Bio 47 Spring 2015.
Species Abundance and Diversity
MANAGEMENT AND ANALYSIS OF WILDLIFE BIOLOGY DATA Bret A. Collier 1 and T. Wayne Schwertner 2 1 Institute of Renewable Natural Resources, Texas A&M University,
Chapter 9 Hypothesis Testing II: two samples Test of significance for sample means (large samples) The difference between “statistical significance” and.
Measuring Diversity.
STRATIFICATION PLOT PLACEMENT CONTROLS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources.
Biodiversity. Definition The number and variety of life forms including species found within a specific region as well as all the number and variety of.
Community Ecology - Module 5 Dr. James Danoff-Burg Columbia University.
PCB 3043L - General Ecology Data Analysis. OUTLINE Organizing an ecological study Basic sampling terminology Statistical analysis of data –Why use statistics?
Module 14: Exotic Species Introduction Cameron, Barney, Puja, Nate, Crystal, Rachael Atlantic Forest, Brazil SEE-U 2000.
Extent and Mask Extent of original data Extent of analysis area Mask – areas of interest Remember all rasters are rectangles.
POPULATION STUDIES. Growth of populations FACTORS INCREASING POPULATION FACTORS DECREASING POPULATION BIRTH IMMIGRATION DEATH EMIGRATION.
CURRENT TOPICS Ms. Burakiewicz Conservation. Vocabulary Aquatic Biodiversity Conservation Coral Reef Ecosystem Extinction Endangered Forest Genetic variation.
Design of Micro-arrays Lecture Topic 6. Experimental design Proper experimental design is needed to ensure that questions of interest can be answered.

26134 Business Statistics Tutorial 11: Hypothesis Testing Introduction: Key concepts in this tutorial are listed below 1. Difference.
Retain H o Refute hypothesis and model MODELS Explanations or Theories OBSERVATIONS Pattern in Space or Time HYPOTHESIS Predictions based on model NULL.
Results I) Regional Survey Rarefaction curves leveled off across sites, suggesting that the sample effort was sufficient to capture differences between.
Biodiversity. Average Size Measure all trees in a transect or quadrat. Produce a size-frequency histogram to show the size distribution. Can also calculate.
PCB 3043L - General Ecology Data Analysis.
Measurement of Biological Diversity: Shannon Diversity Index and Shannon’s Equitability Comparing the diversity found in two or more habitats.
Impacts of Forest Types on Formicadae Biodiversity: Native vs Alien Species A Comparison of Secondary Forest versus Eucalyptus Forest in Southern Brazil.
Species richness The number of species is an important biological variable that scientists try to quantify.
Lab: Benthic Bugs and Bioassessment
Psych 230 Psychological Measurement and Statistics Pedro Wolf October 21, 2009.
Identify techniques for estimating various populations (quadrats, transects, mark- recapture) Understand the carrying capacity of ecosystems; factors.
The Arizona Rivers Project Southwestern Academy June 2009 Fun with Macroinvertebrates.
Unit 3 Investigative Biology. SQA Success Criteria  Explain the difference between random sampling, systematic sampling and stratified sampling.
C.4: Conservation of biodiversity
Chapter 11: Test for Comparing Group Means: Part I.
Module 4 – Biodiversity By Ms Cullen. Terminology Try and define the following terms used when studying the environment.
OUR Ecological Footprint …. Fall 2008 IB Workshop Series sponsored by IB academic advisors Study Abroad for IB Majors Thursday, October 30 4:00-5:00PM.
Week 9: IB Biology Monday: G.4.: Conservation of Biodiversity ‘Explain the use of biotic indices and indicator species in monitoring environmental change’
Single Season Study Design. 2 Points for consideration Don’t forget; why, what and how. A well designed study will:  highlight gaps in current knowledge.
STA248 week 121 Bootstrap Test for Pairs of Means of a Non-Normal Population – small samples Suppose X 1, …, X n are iid from some distribution independent.
C.4 Conservation of biodiversity Understanding: -An indicator species is an organism used to assess a specific environmental condition -Relative numbers.
Some Wildlife Census Techniques
Diversity indices Alpha diversity indices Log Alpha Log-Normal Lambda
Biodiversity Variety of life
Biodiversity Variety of life
PCB 3043L - General Ecology Data Analysis.
Species Diversity Comparison North and South Slopes
Large-scale Ecology Interacting ecosystems
Unit 3- Investigative Biology Topic 2- Experimentation
Aliens!!!.
Biodiversity.
Measuring biodiversity
Species diversity: rarefaction, evenness and indices
Presentation transcript:

Biological Richness, An Introduction James A. Danoff-Burg Dept. Ecol., Evol., & Envir. Biol. Columbia University

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Today: Introduction to Biological Richness  Designing Surveys – Review of assignment 1  Why Study Biological Diversity?  Types & Aspects of Diversity  Evenness  Species Richness Indices  Rarefaction

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Application of Techniques – An Exercise  Design a study, avoiding pseudoreplication  Include visual representations of sampling method  Include:  Experimental question  Manipulations  Hypotheses (null, alternatives)  Target organisms  Censusing design  Censusing method

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Last Week’s Assignment  Project of your own design  Write up a short (2-3 paragraphs) description of your proposed study in normal scientific prose  Include question and hypotheses (including null and all alternative hypotheses)  Include sampling design, sampling method  Be specific and thorough  to before the start of class next

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Types of Censusing Designs  Grid  Using regular intervals along a 2-dimensional design  Transect  Sampling with reference to a straight line  Random  Can be used to site point-quarters, quadrats, other sampling methods

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Choosing Between Censusing Designs  How to choose between sampling layouts?  Depends on experimental question  Gradients  Probably best to use a transect  Ensures comparability  Relatively uniform sampling area  Random probably best – if done frequently enough, get equal representation of areas included  Grid may be useful when need to uniformly sample area

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Surveying Design  Need to equally capture / census entire community (or subset) to be studied  Be consistent  Have equal sampling effort in different areas  Time, area, quantity sampled  Appropriately represent area studied  Equally sample disparate constituent areas  Random vs. orderly (grid, transect)?

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Surveying Techniques  In short: Any viable form of collecting or sampling  Need to be sited at a level appropriate to the question  Examples:  Point-Quarter Proximity to a central point within a cross  Quadrat Sampling within a small area  Pitfall traps  Beating Sheets  Mist netting  Seining  Etc…

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Pseudoreplication Example  Question – What is the affect of treatments A & B?  Pseudoreplication = treating stars of the same color as replicates  Replication = include only a single star of each color, or their average Treatment ATreatment B Site 1 Site 2 Site 3 Site 4

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Today: Introduction to Biological Richness  Designing Surveys – Review of assignment 1  Why Study Biological Diversity?  Types & Aspects of Diversity  Evenness  Species Richness Indices  Rarefaction

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Diversity is Interesting  Stimulated many poets, artists, naturalists, etc.  Ecotourism is prompted by biological diversity  Or at least biological, geological, climatological diversity  Continual novelty is a key feature  Increasing probability of novelty, because of high biodiversity, leads to increasing visitation rates  E.g., most ecotourism is to tropics

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Diversity as an Indicator  Diversity = health of the ecosystem  Diversity and stability relationship  Example of Shahid Naeem’s work on trophic redundancy and stability  Diversity and recovery from perturbations, erosion, etc.  Diversity as a detective tool of the past  Use to determine how long ago land was altered by human or natural activity

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Diversity is controversial  Define diversity  Simple definitions work well  Richness  Abundance  BUT these are not really “Diversity”  More complicated ones are less clear  What does it mean?  More we try to define it, the less definable it is  Some have argued that it is meaningless (Hurlbert 1971)

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Today: Introduction to Biological Richness  Designing Surveys – Review of assignment 1  Why Study Biological Diversity?  Types & Aspects of Diversity  Evenness  Species Richness Indices  Rarefaction

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Types of Biological Diversity  Point: diversity at a single point or microenvironment  Alpha: within habitat diversity  Beta: species diversity along transects & gradients  High Beta indicates number of spp increases rapidly with additional sampling sites along the gradient  Gamma: diversity of a larger geographical unit (island)  Epsilon: regional diversity

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Aspects of Biodiversity  What can we measure?  Possibilities  Species (richness)  Abundance  Diversity relationship between richness & abundance  Guild  Trophic structure  Evolutionary diversity  Within species diversity (genetic, morphological)  Others?

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Diversity of Diversities  Difference between the diversities is usually one of relative emphasis of two main envir. aspects  Two key features  Richness  Abundance  Each index differs in the mathematical method of relating these features  One is often given greater prominence than the other  Formulae significantly differ between indices

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Today: Introduction to Biological Richness  Designing Surveys – Review of assignment 1  Why Study Biological Diversity?  Types & Aspects of Diversity  Evenness  Species Richness Indices  Rarefaction

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Evenness  Definition of Evenness  How equally abundant are each of the species?  A simple way to combine abundance and richness  Rarely are all species equally abundant  Some are better competitors, more fecund, more abundant in general than others

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Evenness increases diversity  Increasing evenness  greater diversity  True for all indices Site 1 Site 2 S = 4 N = 8 S = 4 N = 8 Higher Evenness, Diversity

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Evenness as an Indicator  For many ecosystems, high evenness is a sign of ecosystem health  Don’t have a single species dominating the ecosystem  Often invasives dominate  Paradox of enrichment E.g., polluted / enriched Lake Okeechobee, Florida  Disturbed areas are mostly edge species Simple biodiversity Dominance of a few species ecologically, numerically

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Evenness Across Locations  Between ecosystem comparability is usually not possible  Some areas have lower biodiversity naturally than others Tiaga is naturally much less even than the deciduous forest Tiaga is often dominated by a single species (e.g., Blue Spruce)  Seasonality may confound the comparison as well Earlier in temperate growing season, less even than later  This is a general principle for most all indices this term  When would you want to compare across locations?  Trying to prioritize areas for conservation  Based largely on biodiversity (not ecol. uniqueness)

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Today: Introduction to Biological Richness  Designing Surveys – Review of assignment 1  Why Study Biological Diversity?  Types & Aspects of Diversity  Evenness  Species Richness Indices  Rarefaction

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Species Richness Indices  Richness has largely been the variable of interest for many conservationists  There are many ways to treat species richness  Two main ones  Raw Richness  Species Density

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Numerical species richness = Raw Richness  Works best with complete surveys (everything taken)  These can be destructive  Need equal sampling effort  Popular in aquatic studies  species seen per 1000 individuals

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Species Density  Useful in botanical surveys, sometimes in aquatic surveys  Species / m 2 if on a 2D plane  Mostly botanical surveys, some arthropod surveys  Species / m 3 if in a 3D space  Aquatic or botanical canopy surveys

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Today: Introduction to Biological Richness  Designing Surveys – Review of assignment 1  Why Study Biological Diversity?  Types & Aspects of Diversity  Evenness  Species Richness Indices  Rarefaction

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Rarefaction  Method to post-hoc treat data to correct for lack of standardization of sampling effort  Not always possible to collect in a standardized manner  Particularly true with “Natural Experiments”  May have some treatment areas larger than others  Able to collect in some areas for more time than others  Outcome  To calculate the # of spp expected in each sample  If hypothetically, all samples were of a standard size

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Rarefaction  Designed by Sanders (1968), modified by Hurlbert (1971)  Drawbacks  Loss of information through data loss Expected number of abundance / species is all that is left Loss of abundance, richness data  See Worked example #1 in Magurran for more information on how to do the calculation  We will work through this next week  Read the example before hand

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, After Standardizing Efforts  Can now conduct simple richness comparisons between sites  Need to be comparable  Can do Margalef, Menhinick, Shannon, Simpson analyses  We’ll begin these in two weeks

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Our Data This Term I  Relationship between plant biodiversity, pest insect biodiversity, and beneficial insect biodiversity  Read website at pages/gardens_main.htm pages/gardens_main.htm  Has a pretty good amount of background on the topic  Field sites were in Manhattan and Brooklyn community gardens  Data collected during summer 2001  I will also you the data matrix Please begin looking it over so that you are comfortable with it

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Our Data This Term II  Influence of Hemlock Woolly Adelgid on carrion beetle biodiversity  Separated by many (at least 3) trophic levels  Adelgid is a phloem-feeding insect  Carrion beetles are detritivores or predators on fly larvae on carrion  Field sites at Black Rock Brook, Black Rock Forest  Data collected during summer 2001  I will also you these data Please begin looking over the data set

Lecture 2 – Introduction to Biological Richness© 2003 Dr. James A. Danoff-Burg, Next week:  Abundance, An Introduction  Read  Magurran Ch 2  Magurran Worked Examples 1-6  Southwood & Henderson 2.1, 2.2, 13.1  We will conduct a few evenness and species abundance models next week  Decide which of the two projects on which you are interested in working collaboratively  3 people per group