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Biogeography November 7-14, 2007

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Presentation on theme: "Biogeography November 7-14, 2007"— Presentation transcript:

1 Biogeography November 7-14, 2007
Species Diversity Biogeography November 7-14, 2007

2 Geographical Ecology Ecological Patterns Ecological Processes
Species diversity Species distributions Island patterns Community distributions Ecological Processes Competition Coexistence Succession disturbance

3 Species Diversity Measuring Diversity
Scales Richness Diversity Eveness Patterns of Diversity Latitudinal gradients Elevational gradients Precipitation gradients Peninsulas Aquatic environments Processes Explaining Diversity Gradients Historical Disturbance Hypothesis Equilibrium Theories Productivity Climate stability Heterogeneity Biotic interaction Area/distance Diversity in TRF Equilibrium theory Janzen’s hypothesis Non-Equilibrium theory

4 Species Diversity: A Non-Concept?
What determines the number and kinds of species that occur in a particular place? Why do number and kinds of species vary from place to place?

5 How many species are there?

6 How many species are there?

7 Scales of Diversity Alpha Diversity Beta Diversity Gamma Diversity
w/in habitat Beta Diversity b/w habitat Gamma Diversity Total diversity

8 Species Woodland habitat Hedgerow Habitat Open field habitat A B C D E
x B C D E F G H I J K L M N Alpha Diversity Beta Diversity Gamma Diversity

9 10 7 3 Species Woodland habitat Hedgerow Habitat Open field habitat A
x B C D E F G H I J K L M N Alpha Diversity 10 7 3 Beta Diversity Gamma Diversity

10 10 7 3 (W vs. H) = 7 Species Woodland habitat Hedgerow Habitat
Open field habitat A x B C D E F G H I J K L M N Alpha Diversity 10 7 3 Beta Diversity (W vs. H) = 7 Gamma Diversity

11 10 7 3 (W vs. H) = 7 (H vs. F) = 8 Species Woodland habitat
Hedgerow Habitat Open field habitat A x B C D E F G H I J K L M N Alpha Diversity 10 7 3 Beta Diversity (W vs. H) = 7 (H vs. F) = 8 Gamma Diversity

12 10 7 3 (W vs. H) = 7 (H vs. F) = 8 (F vs. W) = 13
Species Woodland habitat Hedgerow Habitat Open field habitat A x B C D E F G H I J K L M N Alpha Diversity 10 7 3 Beta Diversity (W vs. H) = 7 (H vs. F) = 8 (F vs. W) = 13 Gamma Diversity

13 10 7 3 (W vs. H) = 7 (H vs. F) = 8 (F vs. W) = 13 14
Species Woodland habitat Hedgerow Habitat Open field habitat A x B C D E F G H I J K L M N Alpha Diversity 10 7 3 Beta Diversity (W vs. H) = 7 (H vs. F) = 8 (F vs. W) = 13 Gamma Diversity 14

14 Sampling area and species richness
Relationship b/w sampling area and bird species richness in North America (Fig MacDonald)

15 Measuring Diversity Species Richness Species Diversity Species Eveness
Total number of species in an area can also be measured as biomass, basal area, % cover Species Diversity Considers eveness and richness Species Eveness Considers how abundance data are distributed among the species 96 humans, 1 dodo, 1 thylacine, 1 honeycreeper, 1 chuckwalla 20 peccaries, 20 monkeys, 20 leafcutter ants, 20 wasps, 20 lizards

16 Measuring Species Diversity
Species Richness The number of species in a given area (N0) Sample Size Issue! Margalef Index Mehinick Index R1 = S-1/ln(n) R2 = S/√n Where S = total number of species in area sampled n = total number of individuals observed Interpretation: The higher the index the greater the richness R1 = 1.28 R1 = 1.66 Example: S = 6 and n = 50 S = 6 and n = 20

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19 Measuring Species Diversity
Diversity Indices - Simpson’s Index   = probability that 2 individuals selected at random will belong to the same species = i(ni(ni-1))/N(N-1) Where: ni= total number of individuals in each species N = Total number of individuals in all species Interpretation: If probability is high, the diversity of sample is low

20 Measuring Species Diversity
Diversity Indices - Shannon’s Index H’ H’= -i ((ni/N) ln (ni/N)) Where: ni= total number of individuals in each species N = Total number of individuals in all species Interpretation: 1.5 (low richness/eveness) to 3.5 (high richness and eveness)

21 Hill’s Family of Diversity Numbers
Units are given in numbers of species NO = total number of species in the sample N1 = the number of abundant species N2 = the number of very abundant species N1 = eH’ (H’=Shannon’s index) N2 = 1/ (=Simpson’s index)

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23 Measuring Species Diversity
Species Eveness How abundance data are distributed among species 96 humans, 1 dodo, 1 thylacine, 1 honeycreeper, 1 chuckwalla 20 peccaries, 20 monkeys, 20 leafcutter ants, 20 wasps, 20 lizards Modified Hill’s Ratio E5 = N2-1/N1-1 Where: N1 = eH’ N2 = 1/ Interpretation: 0 = less even, 1 = more even

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25 Desert Lizard Diversity
Number of individuals for each of 6 species of lizards counted in a 1 hectare plot Lizard Species Number of Individuals Cnemidophorus tesselatus 3 Cnemidophorus tigris 15 Crotophytus wislizenii 1 Holbrookia maculata Phrynosoma cornutum 10 Scleoporus magister 2 TOTAL Individuals 32

26 Desert Lizard Diversity
Richness Diversity Eveness NO =  = E5 = R1 = H’ = R2 = N1 = N2 =

27 Desert Lizard Diversity
Richness Diversity Eveness NO = 6  = 0.31 E5 = 0.80 R1 = 1.44 H’ = 1.33 R2 = 1.06 N1 = 4 N2 = 3

28 Patterns of Diversity Latitudinal Gradients Elevation Gradients
Precipitation Gradients Peninsulas Aquatic Environments

29 Mammals Birds

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37 Processes Explaining Diversity Gradients
• Historical Disturbance Hypothesis - landscape reflects historical events, not current environmental conditions (not in equilibrium) Habitats catastrophically disturbed are “undersaturated” in terms of species because there hasn’t been adequate time for adaptation and speciation Problems: evidence from tropics

38 Extent of tropics during last glacial maximum

39 Processes Explaining Diversity Gradients
Equilibrium Theories Landscape is a reflection of current environmental conditions (in equilibrium) Productivity Climate stability-Harsh habitat Habitat heterogeneity Biotic interactions Large Area

40 Processes Explaining Diversity Gradients
Productivity What is the link b/w productivity and biodiversity? Tropics 2200 g/m2/yr Temperate 1200 g/m2/yr Boreal 800 g/m2/yr Scale Estuaries, marshes are most productive ecosystems on earth, with lowest diversity

41 Processes Explaining Diversity Gradients
Climate Stability (Harsh Habitat) Environments with low stability are harsher and are less diverse Why? Exceptions Areas with stable climate but low diversity

42 Processes Explaining Diversity Gradients
Habitat Diversity (Heterogeneity) What is the link? Is it a direct relationship?

43 Processes Explaining Diversity Gradients
Biotic Interactions Is speciation driven by competition in low lats and adaptation to physical stress in high lats? Exceptions: trees/plants What about predation as a mechanism? Circularity

44 Processes Explaining Diversity Gradients
Large Land Area Supports more individs Supports more species Tropics? Boreal? .

45 Diversity in TRF and Coral Reefs
Equilibrium Viewpoint Stability is the major characteristic of a community. Following disturbance, it recovers and high diversity is maintained by a variety of mechanisms. Community reflects current conditions. Non-Equilibrium Viewpoint Communities rarely reach an equilibrium state and high diversity results from changing environmental conditions.

46 Diversity in TRF • Janzen’s Hypothesis (1970): Biotic interactions
- host-specific herbivores - seed predation - canopy foliovores • Hubbell’s research (1979, 1980) to support Janzen • Non-equilbrium explanation (Connell 1978) - coral reefs

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49 The Non-Equilibrium Hypothesis (Connell 1978)
Intermediate Disturbance Hypothesis

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51 The Non-Equilibrium Hypothesis (Connell 1978)
Connell’s Conclusions TRF and Coral Reefs demonstrate Non-Equilibrium Hypothesis Equilibrium and Non-Equilibrium are not mutually exclusive Bottom line is: Role of human disturbances

52 More Intermediate Disturbance Hypothesis (Denslow 1980)
Intermediate levels of disturbance vary by ecosystem Ecosystem Historic Rate of Disturbance (years) Prairie 2 Chaparral 30 Pine 50 Oak-HW 50-100 Spruce-Fir 1000


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