V - Ekologické modely a mikrosvět. Ekologie volně žijících pro3st

Size: px
Start display at page:

Download "V - Ekologické modely a mikrosvět. Ekologie volně žijících pro3st"

Transcription

1 V - Ekologické modely a mikrosvět Ekologie volně žijících pro3st

2 modely a morfologie

3 modely a morfologie Bergmann s rule (1847) - there is a general intraspecific trend, in endothermic vertebrates, towards larger size in cooler environments

4 modely a morfologie Bergmann s rule the island rule (1964) - the trend for small species to become larger, and large species smaller, on islands

5 modely a morfologie Bergmann s rule the island rule Rapoport s rule (1975) - a general posi9ve rela9onship between the la9tudinal extent of an organism's geographical range size and la9tude

6 modely a morfologie Bergmann s rule the island rule Rapoport s rule Cope s Rule (1871) - větší znamená lepší ve smyslu vztahu kořist-predátor, úspěšnost přežif, spektrum potravy, regulace teploty NEBO nika pro největšího je vždy volná

7 modely a morfologie Cope s rule (1871) - tradiční vysvětlení: větší znamená lepší - novodobé vysvětlení: linie se vyvíjejí z malých velikosf spíše než k větším velikostem, protože malé organismy jsou méně specializované - evoluční trendy: pasivní či řízené co do velikos9

8 modely a morfologie Stanley (1973)

9 modely a morfologie McShea (1994)

10 modely a morfologie Stanley (1973)

11 modely a morfologie Schmidt et al. (2006)

12 modely a morfologie Alometrie - D Arcy Thompson, Julian Huxley - celková velikost vs. např. tvar - Y = Y 0 M b nebo log Y = log Y 0 + b log M b = škálovací / alometrický koeficient / sklon - On Growth and Form (Thompson 1971), význam matema9ckých a fyzikálních zákonů - ontogene9cká, sta9cká, evoluční - isometrické, alometrické škálování Scaling in Biology (2000)

13 modely a morfologie Figure 2: The brain and heart grow at different rates rela3ve to the body. Growth of the heart is more or less isometric to body size, with an allometric coefficient of In contrast growth of the brain is ini3ally hypoallometric to body size, with an allometric coefficient of 0.73, before growth stops once the body reaches a certain size, at about age 6. Consequently, head size becomes propor3onally smaller as individuals grow to their final body size. Illustra3ons show body propor3ons at birth, 2, 5 and 20 years of age. (Adapted from Moore 1983; Data from Thompson 1917) Shingleton (2010)

14 modely a morfologie Neidium ampliatum Mann (1999)

15 modely a morfologie Scaling in Biology (2000)

16 modely a morfologie Complexity and cryp3c diversity - does cryp9c diversity increase with decreasing morphological complexity? - how many unique morphologies there are and how many of the species can be reliably dis9nguished from one another morphologically? Verbruggen [phycoweb.wordpress.com]

17 modely a morfologie Verbruggen [phycoweb.wordpress.com]

18 modely a morfologie Kociolek (1998)

19 nika vs. neutralita

20 nika vs. neutralita niche par<<oning tradi9onal explana9ons for the local coexistence of species hold that the balance of nature is delicately related to differences in how species interact with their local environments (their niches ), with popula9ons of each species being primarily regulated by dis9nct environmental factors. Such niche par99oning results in stable frequency dependence, in which each species increases rela9ve to others when it is rare, and decreases when it is common. a neutral theory stochas9c demography and dispersal are more important, and they allow the widespread coexistence of species with iden9cal niches. This neutral theory has provided possible explana9ons for the occurrence of highly diverse communi9es that challenge the tradi9onal view, and has indicated ways to account for them with simple models. Leibold (2008)

21 nika vs. neutralita niche par<<oning - mechanisms such as compe99ve interac9ons, density dependence, local adapta9ons, and niche differen9a9on... species are ecologically and func9onally different, and environmental context is important a neutral theory - importance of stochas9c processes... species differences are not necessarily evidence of important roles for niche differen9a9on... does not imply that species are undifferen9ated in their traits. Rather it asks the ques9ons: do these differences maker in terms of ecological community structure, and are they func9onally significant?... the abundance of species changes by chance and not because of differences in compe99ve ability... varia9on in abundance between species is a result of accidental dispersal and ecological drin (stochas9c varia9on in birth and death rates) Mahhews & Whihaker (2014)

22 patch-dynamics species-sor3ng nika vs. neutralita mass-efect neutral Leibold et al. (2004)

23 nika vs. neutralita the patch-dynamics paradigm is shown with condi3ons that permit coexistence: a compe33oncoloniza3on trade-off is illustrated with species A being a superior compe3tor but species B being a superior colonist; the third patch is vacant and could become occupied by either species Leibold et al. (2004)

24 nika vs. neutralita In (a, speciessor<ng) species are separated into spa3al niches and dispersal is not sufficient to alter their distribu3on. Leibold et al. (2004)

25 nika vs. neutralita In (c, mass effect) mass effects cause species to be present in both source and sink habitats; the smaller lehers and symbols indicate smaller sized popula3ons Leibold et al. (2004)

26 nika vs. neutralita In (d, neutral) all species are currently present in all patches; species would gradually be lost from the region and would be replaced by specia3on. Leibold et al. (2004)

27 nika vs. neutralita R. Stevens, Louisiana State University

28 SAD modely

29 SAD modely McGill et al. (2007)

30 SAD modely Ugland et al. (2003)

31 SAD modely logseries (open squares) - disturbed unstable, or early successional habitats; neutrality lognormal (black dots) - influence of many ecological factors, resource par33oning models; unstressed communi3es Ulrich et al. (2010)

32 SAD modely Ugland & Gray (1982)

33 SAD modely Mahhews et al. (2014)

34 SAD modely Figure 2. Exemplar fits of three species abundance distribu3on models: the zero-sum mul3nomial distribu3on of Hubbell s (2001) spa3ally implicit neutral model, the Poisson lognormal distribu3on and the logseries distribu3on (Fisher et al. 1943). The models are fihed to simulated data (green bars; 365 species and individuals). The three models are fihed using maximum likelihood methods. The simulated data are binned into octaves following method 3 in Gray et al. (2006): the first octave contains the number of species represented one individual, the second octave contains the number of species with 2 3 individuals, the third octave represents 4 7 individuals, and so on. The asymmetry of the ZSM enables it to provide a beher fit than the other distribu3ons to the lep hand tail of the empirical distribu3on. Mahhews & Whihaker (2014)

35 monopolizace zdrojů

36 monopolizace zdrojů founder effect a daughter popula9on or migrant popula9on may differ in gene9c composi9on from its parent popula9on because the founders of the daughter popula9on were not a representa9ve sample of the parent popula9on. the monopoliza<on hypothesis - rapid popula9on growth and local adapta9on upon coloniza9on of a new habitat result in the effec9ve monopoliza9on of resources, yielding a strong priority effect... priority effects, where early arriving species affect the establishment of later arriving species De Meester (2002)

37 monopolizace zdrojů a new patch for both original patch of red species Urban & De Meester (2009)

38 monopolizace zdrojů a new patch for both original patch of red species Urban & De Meester (2009)

39 monopolizace zdrojů Figure 1. The invasibility of zooplankton communi3es in the salt and nutrient treatments for the (A) short-delay, (B) medium-delay and (C) long-delay dispersal treatments. The ver3cal lines represent standard devia3on of the means. Symons & Arnoh (2014)

40 fylogene<cká struktura

41 fylogene<cká struktura habitat filtering (phenotypic ahrac3on) environment as a filter, removing species that lack traits for persis9ng under a par9cular set of condi9ons compe<<ve exclusion (phenotypic repulsion) similar species cannot coexist; a limit to the number of species inhabi9ng a par9cular community, at which niche space is fully saturated phylogene<c overdispersion (repulsion) closely related species co-occurring less onen than expected phylogene<c clustering closely related species co-occurring more onen than expected Pausas & Verdú (2010)

42 fylogene<cká struktura Webb et al. (2002), Pausas & Verdú (2010)

43 fylogene<cká struktura Cavender-Bares et al. (2004)

44 fylogene<cká struktura Cavender-Bares (2009)

Test of neutral theory predic3ons for the BCI tree community informed by regional abundance data

Test of neutral theory predic3ons for the BCI tree community informed by regional abundance data Test of neutral theory predic3ons for the BCI tree community informed by regional abundance data Anne%e Ostling Cody Weinberger Devin Riley Ecology and Evolu:onary Biology University of Michigan 1 Outline

More information

Rank-abundance. Geometric series: found in very communities such as the

Rank-abundance. Geometric series: found in very communities such as the Rank-abundance Geometric series: found in very communities such as the Log series: group of species that occur _ time are the most frequent. Useful for calculating a diversity metric (Fisher s alpha) Most

More information

Evolu&on, Popula&on Gene&cs, and Natural Selec&on Computa.onal Genomics Seyoung Kim

Evolu&on, Popula&on Gene&cs, and Natural Selec&on Computa.onal Genomics Seyoung Kim Evolu&on, Popula&on Gene&cs, and Natural Selec&on 02-710 Computa.onal Genomics Seyoung Kim Phylogeny of Mammals Phylogene&cs vs. Popula&on Gene&cs Phylogene.cs Assumes a single correct species phylogeny

More information

Specia'on. The linkage between geographical circumstance and evolu5onary development is embodied in the very word biogeography."

Specia'on. The linkage between geographical circumstance and evolu5onary development is embodied in the very word biogeography. Specia'on 1 Specia'on "Wallace and Darwin s great insight [natural selec5on as a factor in specia5on] only began the era of asking. The mystery of mysteries had been solved, at least in rough outline;

More information

Metacommunities Spatial Ecology of Communities

Metacommunities Spatial Ecology of Communities Spatial Ecology of Communities Four perspectives for multiple species Patch dynamics principles of metapopulation models (patchy pops, Levins) Mass effects principles of source-sink and rescue effects

More information

Current controversies in Marine Ecology with an emphasis on Coral reef systems. Niche Diversification Hypothesis Assumptions:

Current controversies in Marine Ecology with an emphasis on Coral reef systems. Niche Diversification Hypothesis Assumptions: Current controversies in Marine Ecology with an emphasis on Coral reef systems Open vs closed populations (already Discussed) The extent and importance of larval dispersal Maintenance of Diversity Equilibrial

More information

Ch. 54 Community Ecology

Ch. 54 Community Ecology Ch. 54 Community Ecology BIOL 221 Overview: A Sense of Community biological community an assemblage of popula9ons of various species living close enough for poten9al interac9on Community Interac

More information

Current controversies in Marine Ecology with an emphasis on Coral reef systems

Current controversies in Marine Ecology with an emphasis on Coral reef systems Current controversies in Marine Ecology with an emphasis on Coral reef systems Open vs closed populations (already discussed) The extent and importance of larval dispersal Maintenance of Diversity Equilibrial

More information

Linking Traits to Ecosystem Processes. Moira Hough

Linking Traits to Ecosystem Processes. Moira Hough Linking Traits to Ecosystem Processes Moira Hough How do organisms impact ecosystems? Long history of study of ecological effects of biodiversity and species composi@on comes out of the diversity stability

More information

The Importance of Systema2cs and Rassenkreis. Reading: Willi Hennig

The Importance of Systema2cs and Rassenkreis. Reading: Willi Hennig The Importance of Systema2cs and Rassenkreis Reading: Throughout the class so far we seen that the distribu2on of an organism is the result of its biological history as well as geologic and clima4c history

More information

Exponen'al growth Limi'ng factors Environmental resistance Carrying capacity logis'c growth curve

Exponen'al growth Limi'ng factors Environmental resistance Carrying capacity logis'c growth curve Exponen'al growth Popula)on increases by a fixed percent Fixed percent of a large number produces a large increase Graphed as a J- shaped curve Cannot be sustained indefinitely It occurs in nature With

More information

Aggregations on larger scales. Metapopulation. Definition: A group of interconnected subpopulations Sources and Sinks

Aggregations on larger scales. Metapopulation. Definition: A group of interconnected subpopulations Sources and Sinks Aggregations on larger scales. Metapopulation Definition: A group of interconnected subpopulations Sources and Sinks Metapopulation - interconnected group of subpopulations sink source McKillup and McKillup

More information

Tests of the ETIB. We have reviewed various expecta8ons for the theory of island biogeography. How does it hold up to tests with empirical data?

Tests of the ETIB. We have reviewed various expecta8ons for the theory of island biogeography. How does it hold up to tests with empirical data? Tests of the ETIB We have reviewed various expecta8ons for the theory of island biogeography How does it hold up to tests with empirical data? Rate T 0 Ŝ P # Species Tests of the ETIB Test of the shapes

More information

Compe&&on. Why is compe,,on important to consider?

Compe&&on. Why is compe,,on important to consider? Compe&&on Why is compe,,on important to consider? Defini,on: An interac(on among individuals for a common, limi&ng resource that results in reduced individual fitness How do we measure reduced fitness?

More information

4. is the rate at which a population of a given species will increase when no limits are placed on its rate of growth.

4. is the rate at which a population of a given species will increase when no limits are placed on its rate of growth. Population Ecology 1. Populations of mammals that live in colder climates tend to have shorter ears and limbs than populations of the same species in warm climates (coyotes are a good example of this).

More information

Class Notes. Examining Repeated Measures Data on Individuals

Class Notes. Examining Repeated Measures Data on Individuals Ronald Heck Week 12: Class Notes 1 Class Notes Examining Repeated Measures Data on Individuals Generalized linear mixed models (GLMM) also provide a means of incorporang longitudinal designs with categorical

More information

Disentangling spatial structure in ecological communities. Dan McGlinn & Allen Hurlbert.

Disentangling spatial structure in ecological communities. Dan McGlinn & Allen Hurlbert. Disentangling spatial structure in ecological communities Dan McGlinn & Allen Hurlbert http://mcglinn.web.unc.edu daniel.mcglinn@usu.edu The Unified Theories of Biodiversity 6 unified theories of diversity

More information

z-scores z-scores z-scores and the Normal Distribu4on PSYC 300A - Lecture 3 Dr. J. Nicol

z-scores z-scores z-scores and the Normal Distribu4on PSYC 300A - Lecture 3 Dr. J. Nicol z-scores and the Normal Distribu4on PSYC 300A - Lecture 3 Dr. J. Nicol z-scores Knowing a raw score does not inform us about the rela4ve loca4on of that score in the distribu4on The rela4ve loca4on of

More information

Recombina*on and Linkage Disequilibrium (LD)

Recombina*on and Linkage Disequilibrium (LD) Recombina*on and Linkage Disequilibrium (LD) A B a b r = recombina*on frac*on probability of an odd Number of crossovers occur Between our markers 0

More information

Reproduc)ve Biology II

Reproduc)ve Biology II Reproduc)ve Biology II Breeding Systems Summary of previous lecture: BUT: Plants Influence Pollinators Pollina)on Plant Costs Success Progeny Growth Dispersal Seed banks Establishment Germina)on 1 In the

More information

How do ecosystems change over 2me? What are the causes of these changes?

How do ecosystems change over 2me? What are the causes of these changes? How do ecosystems change over 2me? What are the causes of these changes? 2.6.5 Describe the concept and processes of succession in a named habitat Key words Primary succession Secondary succession Zona2on

More information

Submit a written or typed note with- 1.Name 2. Group number 3. Question number 4. Short reason/explanation stating the reason for re-grading.

Submit a written or typed note with- 1.Name 2. Group number 3. Question number 4. Short reason/explanation stating the reason for re-grading. Exam 2 rebuttals due Tuesday 04.12.16 Submit a written or typed note with- 1.Name 2. Group number 3. Question number 4. Short reason/explanation stating the reason for re-grading. - Homework 7 will be

More information

Panama and the Great American Interchange. Reading: Marshall et al. 1982

Panama and the Great American Interchange. Reading: Marshall et al. 1982 Panama and the Great American Interchange Reading: Marshall et al. 1982 Lecture 6 Recap Lars Brundin Lars Brundin What about the general suitability of chironomid midges as indicators in biogeography?

More information

Linear Regression and Correla/on. Correla/on and Regression Analysis. Three Ques/ons 9/14/14. Chapter 13. Dr. Richard Jerz

Linear Regression and Correla/on. Correla/on and Regression Analysis. Three Ques/ons 9/14/14. Chapter 13. Dr. Richard Jerz Linear Regression and Correla/on Chapter 13 Dr. Richard Jerz 1 Correla/on and Regression Analysis Correla/on Analysis is the study of the rela/onship between variables. It is also defined as group of techniques

More information

Linear Regression and Correla/on

Linear Regression and Correla/on Linear Regression and Correla/on Chapter 13 Dr. Richard Jerz 1 Correla/on and Regression Analysis Correla/on Analysis is the study of the rela/onship between variables. It is also defined as group of techniques

More information

Chapter 5 Evolution of Biodiversity. Sunday, October 1, 17

Chapter 5 Evolution of Biodiversity. Sunday, October 1, 17 Chapter 5 Evolution of Biodiversity CHAPTER INTRO: The Dung of the Devil Read and Answer Questions Provided Module 14 The Biodiversity of Earth After reading this module you should be able to understand

More information

Populations in lakes. Limnology Lecture 9

Populations in lakes. Limnology Lecture 9 Populations in lakes Limnology Lecture 9 Outline Adaptations in lake organisms to Low oxygen Predation Seasonal disturbance Populations in lakes Exponential Logistic Metapopulation Low Oxygen Tolerance

More information

Evolution before Darwin

Evolution before Darwin http://www.beatricebiologist.com Charles Lyell and Geology Geological forces could account for the differences in the world Con7nental Dri9 and Plate Tectonics Only book that Darwin took with him on his

More information

Chapter 6 Population and Community Ecology

Chapter 6 Population and Community Ecology Chapter 6 Population and Community Ecology Friedland and Relyea Environmental Science for AP, second edition 2015 W.H. Freeman and Company/BFW AP is a trademark registered and/or owned by the College Board,

More information

SLOSS debate. reserve design principles. Caribbean Anolis. SLOSS debate- criticisms. Single large or several small Debate over reserve design

SLOSS debate. reserve design principles. Caribbean Anolis. SLOSS debate- criticisms. Single large or several small Debate over reserve design SLOSS debate reserve design principles Single large or several small Debate over reserve design SLOSS debate- criticisms Caribbean Anolis Pattern not always supported Other factors may explain diversity

More information

Two sample Test. Paired Data : Δ = 0. Lecture 3: Comparison of Means. d s d where is the sample average of the differences and is the

Two sample Test. Paired Data : Δ = 0. Lecture 3: Comparison of Means. d s d where is the sample average of the differences and is the Gene$cs 300: Sta$s$cal Analysis of Biological Data Lecture 3: Comparison of Means Two sample t test Analysis of variance Type I and Type II errors Power More R commands September 23, 2010 Two sample Test

More information

REGRESSION AND CORRELATION ANALYSIS

REGRESSION AND CORRELATION ANALYSIS Problem 1 Problem 2 A group of 625 students has a mean age of 15.8 years with a standard devia>on of 0.6 years. The ages are normally distributed. How many students are younger than 16.2 years? REGRESSION

More information

How do ecosystems change over 2me? What are the causes of these changes?

How do ecosystems change over 2me? What are the causes of these changes? How do ecosystems change over 2me? What are the causes of these changes? 2.6.5 Describe the concept and processes of succession in a named habitat h7p://www.youtube.com/watch?v=srxbeezzfdi Secondary succession

More information

Networks. Can (John) Bruce Keck Founda7on Biotechnology Lab Bioinforma7cs Resource

Networks. Can (John) Bruce Keck Founda7on Biotechnology Lab Bioinforma7cs Resource Networks Can (John) Bruce Keck Founda7on Biotechnology Lab Bioinforma7cs Resource Networks in biology Protein-Protein Interaction Network of Yeast Transcriptional regulatory network of E.coli Experimental

More information

4-1: Biodiversity and Evolution

4-1: Biodiversity and Evolution 4-1: Biodiversity and Evolution After this lecture you should be able to Explain the importance of biological diversity to an ecosystem. Classify species based on taxonomic categories. Explain how evolution

More information

Gary G. Mittelbach Michigan State University

Gary G. Mittelbach Michigan State University Community Ecology Gary G. Mittelbach Michigan State University Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A. Brief Table of Contents 1 Community Ecology s Roots 1 PART I The Big

More information

"PRINCIPLES OF PHYLOGENETICS: ECOLOGY AND EVOLUTION" Integrative Biology 200 Spring 2014 University of California, Berkeley

PRINCIPLES OF PHYLOGENETICS: ECOLOGY AND EVOLUTION Integrative Biology 200 Spring 2014 University of California, Berkeley "PRINCIPLES OF PHYLOGENETICS: ECOLOGY AND EVOLUTION" Integrative Biology 200 Spring 2014 University of California, Berkeley D.D. Ackerly April 16, 2014. Community Ecology and Phylogenetics Readings: Cavender-Bares,

More information

Module 4: Community structure and assembly

Module 4: Community structure and assembly Module 4: Community structure and assembly Class Topic Reading(s) Day 1 (Thu Intro, definitions, some history. Messing Nov 2) around with a simple dataset in R. Day 2 (Tue Nov 7) Day 3 (Thu Nov 9) Day

More information

Microevolution (Ch 16) Test Bank

Microevolution (Ch 16) Test Bank Microevolution (Ch 16) Test Bank Multiple Choice Identify the letter of the choice that best completes the statement or answers the question. 1. Which of the following statements describes what all members

More information

Correla'on. Keegan Korthauer Department of Sta's'cs UW Madison

Correla'on. Keegan Korthauer Department of Sta's'cs UW Madison Correla'on Keegan Korthauer Department of Sta's'cs UW Madison 1 Rela'onship Between Two Con'nuous Variables When we have measured two con$nuous random variables for each item in a sample, we can study

More information

BIOS 6150: Ecology Dr. Stephen Malcolm, Department of Biological Sciences

BIOS 6150: Ecology Dr. Stephen Malcolm, Department of Biological Sciences BIOS 6150: Ecology Dr. Stephen Malcolm, Department of Biological Sciences Week 14: Roles of competition, predation & disturbance in community structure. Lecture summary: (A) Competition: Pattern vs process.

More information

Chapter 6 Population and Community Ecology. Thursday, October 19, 17

Chapter 6 Population and Community Ecology. Thursday, October 19, 17 Chapter 6 Population and Community Ecology Module 18 The Abundance and Distribution of After reading this module you should be able to explain how nature exists at several levels of complexity. discuss

More information

Heritability and the response to selec2on

Heritability and the response to selec2on Heritability and the response to selec2on Resemblance between rela2ves in Quan2ta2ve traits A trait with L loci Each segregating an allele A 1 at freq. p l Each copy of the A 1 allele at a locus increasing

More information

Graphical Models. Lecture 3: Local Condi6onal Probability Distribu6ons. Andrew McCallum

Graphical Models. Lecture 3: Local Condi6onal Probability Distribu6ons. Andrew McCallum Graphical Models Lecture 3: Local Condi6onal Probability Distribu6ons Andrew McCallum mccallum@cs.umass.edu Thanks to Noah Smith and Carlos Guestrin for some slide materials. 1 Condi6onal Probability Distribu6ons

More information

Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms

Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms Steven Declerck NECOV lustrum meeting 8 April 2014 Spatial dynamics in community ecology Metacommunities:

More information

Course Descrip,on Topics. Possible FRQ topics

Course Descrip,on Topics. Possible FRQ topics Course Descrip,on Topics Possible FRQ topics Unit 2 1) Social, poli,cal, economic implica,ons of aging 2) Refugee flow, immigra,on, internal migra,on and residen,al mobility Interconnectedness between

More information

Urban Ecological Models of the internal structure of North American Ci9es. APHG Keller 2011

Urban Ecological Models of the internal structure of North American Ci9es. APHG Keller 2011 Urban Ecological Models of the internal structure of North American Ci9es APHG Keller 2011 Earliest ideas for models Ecology developed in biology Shi> from thinking about individual species to plant and

More information

Name Student ID. Good luck and impress us with your toolkit of ecological knowledge and concepts!

Name Student ID. Good luck and impress us with your toolkit of ecological knowledge and concepts! Page 1 BIOLOGY 150 Final Exam Winter Quarter 2000 Before starting be sure to put your name and student number on the top of each page. MINUS 3 POINTS IF YOU DO NOT WRITE YOUR NAME ON EACH PAGE! You have

More information

Reproduction and Evolution Practice Exam

Reproduction and Evolution Practice Exam Reproduction and Evolution Practice Exam Topics: Genetic concepts from the lecture notes including; o Mitosis and Meiosis, Homologous Chromosomes, Haploid vs Diploid cells Reproductive Strategies Heaviest

More information

Community phylogenetics review/quiz

Community phylogenetics review/quiz Community phylogenetics review/quiz A. This pattern represents and is a consequent of. Most likely to observe this at phylogenetic scales. B. This pattern represents and is a consequent of. Most likely

More information

Community Structure Temporal Patterns

Community Structure Temporal Patterns Community Structure Temporal Patterns Temporal Patterns Seasonality Phenology study of repeated patterns in time and their relationship to physical aspects of the environment Seasonal changes that are

More information

Perspec'ves on Biodiversity Through Time: Trends, Mechanisms, Constraints

Perspec'ves on Biodiversity Through Time: Trends, Mechanisms, Constraints Perspec'ves on Biodiversity Through Time: Trends, Mechanisms, Constraints Richard K. Bambach Research Associate, Department of Paleobiology, Na'onal Museum of Natural History, Smithsonian Ins'tu'on Associate,

More information

Plate Tectonics: An Unstable Earth. Reading: Alfred Wegener

Plate Tectonics: An Unstable Earth. Reading: Alfred Wegener Plate Tectonics: An Unstable Earth Reading: Classical Biogeography: Early Perspec=ves Lecture 4 Recap Wallace Sven Ekman Classical Biogeography: Early Perspec=ves Wallace Richard Lydekker Lydekker s line

More information

BIOS 230 Landscape Ecology. Lecture #32

BIOS 230 Landscape Ecology. Lecture #32 BIOS 230 Landscape Ecology Lecture #32 What is a Landscape? One definition: A large area, based on intuitive human scales and traditional geographical studies 10s of hectares to 100s of kilometers 2 (1

More information

Metabolic trade-offs promote diversity in a model ecosystem

Metabolic trade-offs promote diversity in a model ecosystem Metabolic trade-offs promote diversity in a model ecosystem Anna Posfai, Thibaud Taillefumier, Ben Weiner, Ned Wingreen Princeton University q-bio Rutgers University, July 25 2017 How can we explain species

More information

Latent Dirichlet Alloca/on

Latent Dirichlet Alloca/on Latent Dirichlet Alloca/on Blei, Ng and Jordan ( 2002 ) Presented by Deepak Santhanam What is Latent Dirichlet Alloca/on? Genera/ve Model for collec/ons of discrete data Data generated by parameters which

More information

Sec$on 9. Evolu$onary Rela$onships

Sec$on 9. Evolu$onary Rela$onships Sec$on 9 Evolu$onary Rela$onships Sec$on 9 Learning Goals Explain why the ribosomal 16S gene is a good marker for molecular phylogene$c comparisons. Be able to interpret a phylogene$c tree. Explain the

More information

Unifying theories of molecular, community and network evolution 1

Unifying theories of molecular, community and network evolution 1 Carlos J. Melián National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara Microsoft Research Ltd, Cambridge, UK. Unifying theories of molecular, community and network

More information

Data Processing Techniques

Data Processing Techniques Universitas Gadjah Mada Department of Civil and Environmental Engineering Master in Engineering in Natural Disaster Management Data Processing Techniques Hypothesis Tes,ng 1 Hypothesis Testing Mathema,cal

More information

CSCI1950 Z Computa4onal Methods for Biology Lecture 4. Ben Raphael February 2, hhp://cs.brown.edu/courses/csci1950 z/ Algorithm Summary

CSCI1950 Z Computa4onal Methods for Biology Lecture 4. Ben Raphael February 2, hhp://cs.brown.edu/courses/csci1950 z/ Algorithm Summary CSCI1950 Z Computa4onal Methods for Biology Lecture 4 Ben Raphael February 2, 2009 hhp://cs.brown.edu/courses/csci1950 z/ Algorithm Summary Parsimony Probabilis4c Method Input Output Sankoff s & Fitch

More information

Course Descrip,on Topics. Possible FRQ topics

Course Descrip,on Topics. Possible FRQ topics Course Descrip,on Topics Possible FRQ topics Unit1 Geography and Nature and Perspec,ves Loca,on, space, place, scale, paberns, regionaliza,on, and globaliza,on. Interpreta,on of maps and spa,al data Physical,

More information

Oikos. Appendix 1 and 2. o20751

Oikos. Appendix 1 and 2. o20751 Oikos o20751 Rosindell, J. and Cornell, S. J. 2013. Universal scaling of species-abundance distributions across multiple scales. Oikos 122: 1101 1111. Appendix 1 and 2 Universal scaling of species-abundance

More information

CS 6140: Machine Learning Spring 2016

CS 6140: Machine Learning Spring 2016 CS 6140: Machine Learning Spring 2016 Instructor: Lu Wang College of Computer and Informa?on Science Northeastern University Webpage: www.ccs.neu.edu/home/luwang Email: luwang@ccs.neu.edu Logis?cs Assignment

More information

6. Evolu)on, Co- evolu)on (and Ar)ficial Life) Part 1

6. Evolu)on, Co- evolu)on (and Ar)ficial Life) Part 1 6. Evolu)on, Co- evolu)on (and Ar)ficial Life) Part 1 Modelling Social Interac)on in Informa)on Systems hep://davidhales.com/msiis David Hales, University of Szeged dave@davidhales.com 1 Summary How can

More information

Ecology and evolution. Limnology Lecture 2

Ecology and evolution. Limnology Lecture 2 Ecology and evolution Limnology Lecture 2 Outline Lab notebooks Quick and dirty ecology and evolution review The Scientific Method 1. Develop hypothesis (general models) Null hypothesis Alternative hypothesis

More information

5/10/15. Chapter 16: Marine Communities. Biomes and Ecosystems

5/10/15. Chapter 16: Marine Communities. Biomes and Ecosystems Chapter 16: Marine Communities Biomes and Ecosystems Biomes are defined as "the world's major communi'es, classified according to the predominant vegeta;on and characterized by adapta;ons of organisms

More information

Chapter 6 Reading Questions

Chapter 6 Reading Questions Chapter 6 Reading Questions 1. Fill in 5 key events in the re-establishment of the New England forest in the Opening Story: 1. Farmers begin leaving 2. 3. 4. 5. 6. 7. Broadleaf forest reestablished 2.

More information

What determines: 1) Species distributions? 2) Species diversity? Patterns and processes

What determines: 1) Species distributions? 2) Species diversity? Patterns and processes Species diversity What determines: 1) Species distributions? 2) Species diversity? Patterns and processes At least 120 different (overlapping) hypotheses explaining species richness... We are going to

More information

Evidence for Competition

Evidence for Competition Evidence for Competition Population growth in laboratory experiments carried out by the Russian scientist Gause on growth rates in two different yeast species Each of the species has the same food e.g.,

More information

Phylogene)cs. IMBB 2016 BecA- ILRI Hub, Nairobi May 9 20, Joyce Nzioki

Phylogene)cs. IMBB 2016 BecA- ILRI Hub, Nairobi May 9 20, Joyce Nzioki Phylogene)cs IMBB 2016 BecA- ILRI Hub, Nairobi May 9 20, 2016 Joyce Nzioki Phylogenetics The study of evolutionary relatedness of organisms. Derived from two Greek words:» Phle/Phylon: Tribe/Race» Genetikos:

More information

Purging of inbreeding load in par;ally selfing popula;ons

Purging of inbreeding load in par;ally selfing popula;ons Purging of inbreeding load in par;ally selfing popula;ons Given an inbreeding coefficient of f, the equilibrium frequency is q e µ ( h(1 f ) + f )s Data from various Schiedea species with different extent

More information

Niche The sum of all interactions a species has with biotic/abiotic components of the environment N-dimensional hypervolume

Niche The sum of all interactions a species has with biotic/abiotic components of the environment N-dimensional hypervolume Niche The sum of all interactions a species has with biotic/abiotic components of the environment N-dimensional hypervolume Each dimension is a biotic or abiotic resource Ecomorphology Ecology (niche)

More information

Field experiments on competition. Field experiments on competition. Field experiments on competition

Field experiments on competition. Field experiments on competition. Field experiments on competition INTERACTIONS BETWEEN SPECIES Type of interaction species 1 species 2 competition consumer-resource (pred, herb, para) mutualism detritivore-detritus (food is dead) Field experiments on competition Example

More information

Introduction - Life Science

Introduction - Life Science CALIFORNIA STANDARDS TEST G R A D E Released Test Questions Science 10 Introduction - Life Science The following released test questions are taken from the Life Science Standards Test. This test is one

More information

GEO- DEEP9300 Lithosphere and Asthenosphere: Composi;on and Evolu;on Kaiming Wang

GEO- DEEP9300 Lithosphere and Asthenosphere: Composi;on and Evolu;on Kaiming Wang Con$nental lithosphere and evolu$on GEO- DEEP9300 Lithosphere and Asthenosphere: Composi;on and Evolu;on Kaiming Wang 1. Con$nental lithosphere Con$nental lithosphere houses the oldest and thickest regions

More information

Some Review and Hypothesis Tes4ng. Friday, March 15, 13

Some Review and Hypothesis Tes4ng. Friday, March 15, 13 Some Review and Hypothesis Tes4ng Outline Discussing the homework ques4ons from Joey and Phoebe Review of Sta4s4cal Inference Proper4es of OLS under the normality assump4on Confidence Intervals, T test,

More information

Machine learning for Dynamic Social Network Analysis

Machine learning for Dynamic Social Network Analysis Machine learning for Dynamic Social Network Analysis Manuel Gomez Rodriguez Max Planck Ins7tute for So;ware Systems UC3M, MAY 2017 Interconnected World SOCIAL NETWORKS TRANSPORTATION NETWORKS WORLD WIDE

More information

Nature: a harmonious & peaceful place?! What disturbs the peace?

Nature: a harmonious & peaceful place?! What disturbs the peace? Nature: a harmonious & peaceful place?! What disturbs the peace? Disturbance Disturbance: a relatively discrete event in time that causes abrupt change in ecosystem, community, or population structure,

More information

A.P. Biology CH Population Ecology. Name

A.P. Biology CH Population Ecology. Name 1 A.P. Biology CH. 53 - Population Ecology Name How many ants (shown below - 6 ants / cm 2 ) would there be in an ant colony that is flat and one meter long on each side? Dispersion Patterns Matching A

More information

Chapter 8. Biogeographic Processes. Upon completion of this chapter the student will be able to:

Chapter 8. Biogeographic Processes. Upon completion of this chapter the student will be able to: Chapter 8 Biogeographic Processes Chapter Objectives Upon completion of this chapter the student will be able to: 1. Define the terms ecosystem, habitat, ecological niche, and community. 2. Outline how

More information

Calorimetry POGIL.notebook. December 06, 2012 POGIL ACTIVITY. Calorimetry Measurement of Heat Energy. Why?

Calorimetry POGIL.notebook. December 06, 2012 POGIL ACTIVITY. Calorimetry Measurement of Heat Energy. Why? POGIL ACTIVITY Calorimetry Measurement of Heat Energy Why? The amount of heat energy released or absorbed by a chemical or physical change can be measured using an instrument called a calorimeter. This

More information

Testing the spatial phylogenetic structure of local

Testing the spatial phylogenetic structure of local Journal of Ecology 2008, 96, 914 926 doi: 10.1111/j.1365-2745.2008.01421.x Testing the spatial phylogenetic structure of local Blackwell ublishing Ltd communities: statistical performances of different

More information

Example 3.3 Moving-average filter

Example 3.3 Moving-average filter 3.3 Difference Equa/ons for Discrete-Time Systems A Discrete-/me system can be modeled with difference equa3ons involving current, past, or future samples of input and output signals Example 3.3 Moving-average

More information

Heaving Toward Speciation

Heaving Toward Speciation Temporal Waves of Genetic Diversity in a Spatially Explicit Model of Evolution: Heaving Toward Speciation Guy A. Hoelzer 1, Rich Drewes 2 and René Doursat 2,3 1 Department of Biology, 2 Brain Computation

More information

Habitat fragmentation and evolution of dispersal. Jean-François Le Galliard CNRS, University of Paris 6, France

Habitat fragmentation and evolution of dispersal. Jean-François Le Galliard CNRS, University of Paris 6, France Habitat fragmentation and evolution of dispersal Jean-François Le Galliard CNRS, University of Paris 6, France Habitat fragmentation : facts Habitat fragmentation describes a state (or a process) of discontinuities

More information

AP Environmental Science I. Unit 1-2: Biodiversity & Evolution

AP Environmental Science I. Unit 1-2: Biodiversity & Evolution NOTE/STUDY GUIDE: Unit 1-2, Biodiversity & Evolution AP Environmental Science I, Mr. Doc Miller, M.Ed. North Central High School Name: ID#: NORTH CENTRAL HIGH SCHOOL NOTE & STUDY GUIDE AP Environmental

More information

Ecology Regulation, Fluctuations and Metapopulations

Ecology Regulation, Fluctuations and Metapopulations Ecology Regulation, Fluctuations and Metapopulations The Influence of Density on Population Growth and Consideration of Geographic Structure in Populations Predictions of Logistic Growth The reality of

More information

Community Interactions. Community An assemblage of all the populations interacting in an area

Community Interactions. Community An assemblage of all the populations interacting in an area Community Interactions Community An assemblage of all the populations interacting in an area Populations are affected by: Available living space habitat Resource Availability niche Species interactions

More information

-The study of the interactions between the different species in an area

-The study of the interactions between the different species in an area Community Ecology -The study of the interactions between the different species in an area Interspecific Interactions -Interaction between different species -May be positive, negative, or neutral and include

More information

A General Unified Niche-Assembly/Dispersal-Assembly Theory of Forest Species Biodiversity

A General Unified Niche-Assembly/Dispersal-Assembly Theory of Forest Species Biodiversity A General Unified Niche-Assembly/Dispersal-Assembly Theory of Forest Species Biodiversity Keith Rennolls CMS, University of Greenwich, Park Row, London SE10 9LS k.rennolls@gre.ac.uk Abstract: A generalised

More information

Maintenance of species diversity

Maintenance of species diversity 1. Ecological succession A) Definition: the sequential, predictable change in species composition over time foling a disturbance - Primary succession succession starts from a completely empty community

More information

Ch20_Ecology, community & ecosystems

Ch20_Ecology, community & ecosystems Community Ecology Populations of different species living in the same place NICHE The sum of all the different use of abiotic resources in the habitat by s given species what the organism does what is

More information

ET Life 15. Requirements of Life &Evolu6on of Life Next Week: Habitability & Mars

ET Life 15. Requirements of Life &Evolu6on of Life Next Week: Habitability & Mars ET Life 15 Requirements of Life &Evolu6on of Life Next Week: Habitability & Mars Paper Proposals A bit short on references 4-5 modern scien6fic references (journals, high- level books) No websites or TV

More information

AP Biology Review Packet 5- Natural Selection and Evolution & Speciation and Phylogeny

AP Biology Review Packet 5- Natural Selection and Evolution & Speciation and Phylogeny AP Biology Review Packet 5- Natural Selection and Evolution & Speciation and Phylogeny 1A1- Natural selection is a major mechanism of evolution. 1A2: Natural selection acts on phenotypic variations in

More information

Chapter 5. Evolution of Biodiversity

Chapter 5. Evolution of Biodiversity Chapter 5. Evolution of Biodiversity I. Earth s tremendous diversity A. life comes in many forms B. Recall 1. we can think of biodiversity in three ways a) genetic diversity b) species diversity c) ecosystem

More information

Rela%ons and Their Proper%es. Slides by A. Bloomfield

Rela%ons and Their Proper%es. Slides by A. Bloomfield Rela%ons and Their Proper%es Slides by A. Bloomfield What is a rela%on Let A and B be sets. A binary rela%on R is a subset of A B Example Let A be the students in a the CS major A = {Alice, Bob, Claire,

More information

Introduction to Statistical Genetics (BST227) Lecture 6: Population Substructure in Association Studies

Introduction to Statistical Genetics (BST227) Lecture 6: Population Substructure in Association Studies Introduction to Statistical Genetics (BST227) Lecture 6: Population Substructure in Association Studies Confounding in gene+c associa+on studies q What is it? q What is the effect? q How to detect it?

More information

Stability Analyses of the 50/50 Sex Ratio Using Lattice Simulation

Stability Analyses of the 50/50 Sex Ratio Using Lattice Simulation Stability Analyses of the 50/50 Sex Ratio Using Lattice Simulation Y. Itoh, K. Tainaka and J. Yoshimura Department of Systems Engineering, Shizuoka University, 3-5-1 Johoku, Hamamatsu 432-8561 Japan Abstract:

More information

UNIT V. Chapter 11 Evolution of Populations. Pre-AP Biology

UNIT V. Chapter 11 Evolution of Populations. Pre-AP Biology UNIT V Chapter 11 Evolution of Populations UNIT 4: EVOLUTION Chapter 11: The Evolution of Populations I. Genetic Variation Within Populations (11.1) A. Genetic variation in a population increases the chance

More information