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Aerial lakes photo.

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Presentation on theme: "Aerial lakes photo."— Presentation transcript:

1 Aerial lakes photo

2 The Regional View All habitat is patchy
Species colonize patches by dispersal All species go extinct

3 The Local View Communities are made up of populations
Population persistence depends on the physical and biological environment

4 What are the roles of local and regional processes in structuring communities?

5 Zooplankton photograph

6 The importance of scale
What are the roles of local and regional processes in zooplankton communities? Observational test global patterns of local and regional richness Experimental tests measuring community invasibility measuring dispersal rates The importance of scale modeling spread of invaders

7 Regional vs. local control of local diversity
Regional processes colonization local extinction Local processes abiotic constraints species interactions if colonization  extinction if colonization >> extinction Regional richness Regional richness Local richness

8 “In a clear majority of studies, possibly the great majority, the main driver of local species richness appears to be the size of the regional species pool… Strong dependence of local richness on regional richness may arise because species interactions- the stuff of traditional community ecology- are weak” or… J.H. Lawton (1999). Are there general laws in ecology? Oikos 84:

9 2,832 lakes Shurin et al. 2000. Ecology 81: 3062 17 11,12 17 20 4,14
23 19 1,3,5-10, 15,16,18, 22,24,25 21 13 2,832 lakes Shurin et al Ecology 81: 3062

10 Local vs. residual regional richness
-20 -10 10 20 30 1 2 3 4 5 6 7 8 A- Cladocerans -5 15 B- Cyclopoids Residual regional richness C- Calanoids 40 D- Crustaceans Local richness

11 Zooplankton show linear patterns of local and regional richness
Predictions Local communities are open to invasion from the regional pool Species interactions have little impact on invasion success

12 The importance of scale
What are the roles of local and regional processes in zooplankton communities? Observational test global patterns of local and regional richness Experimental tests measuring community invasibility measuring dispersal rates The importance of scale modeling spread of invaders

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18 Invasion experiment questions Shurin 2000. Ecology 81: 3074
Are zooplankton dispersal limited? species will colonize the invasion treatment What are the effects of relaxing dispersal limitation? zooplankton diversity and biomass will increase Does invasibility relate to native diversity? invasibility will decline at high native diversity

19 Invasion experiment results
0.2 0.4 0.6 0.8 1 1.2 Exotic biomass [log (ug/L) + 1] 1 2 3 4 5 6 7 8 Bird 1 Lab L.A. 11 Hut Norris Ent. Rock Bird 2 Shaw Upton L.A. 12 % introduction success

20 Why would more diverse communities be harder to invade
Why would more diverse communities be harder to invade? (Elton’s 1958 hypothesis) Fewer potential invaders in regional pool more likely a species is already present Less available niche space prediction: lower per invader success rate prediction: lower invader biomass once established

21 Invasibility vs. native diversity
2 4 6 8 Exotic biomass (ug/L) 1 EXPERIMENT % introduction success Native diversity (Fisher’s alpha) 3 rs = -0.70 P < 0.025 rs = -0.57 P < 0.05

22 No effects of invasion on
total zooplankton diversity or biomass biomass or extinction of native species phytoplankton biomass

23 How important are interspecific interactions to invasion success?
treatment Resistance treatment 11 ponds 4 Ponds

24 Biological resistance to invasion
0.5 1 1.5 2 2.5 Exotic biomass [log (ug/L) + 1] 3 4 5 6 7 Bird Shaw Upton L.A. % introduction success Resistance= 16X Invasion 4X Invasion

25 Conclusions from invasion experiment
Weak dispersal limitation Dispersal does not limit biomass or diversity Invasibility declines at high diversity Interspecific interactions play a major role big effect of resistance treatment Suggests colonization >> extinction for most species

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27 Cohen and Shurin 2003, Oikos 103: 603
Experimental design: pools at 5, 10, 30 and 60m from 2 real ponds plus a non-dispersal limited control Cohen and Shurin 2003, Oikos 103: 603

28 Fast colonization: one new species every four days

29 A paradox? Observational evidence: strong regional control
linear patterns of local and regional diversity Experimental evidence: strong local control resistance to invasion strong species interactions rapid dispersal

30 Theoretical and empirical resolution?
Facilitation versus inhibition The effects of predators on local and regional coexistence Shurin and Allen American Naturalist 158: 624 Shurin Ecology 82: 3404 The influence of scale Modeling the spread of exotic species Havel, Shurin and Jones Ecology  83: 3306 Shurin and Havel Biological Invasions 4: 431

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34 Modeling spread of exotics
with John Havel and Jack Jones (Ecology 83:3306) How can we use spread to estimate dispersal at broad scales? Is invasion limited by dispersal or local constraints?

35 Modeling invasion probability
surface area temperature conductivity total nitrogen total phosphorus chlorophyll volatile solids non-volatile solids secchi depth turbidity How do we include dispersal potential? invasion probability + local variables dispersal potential

36 Modeling dispersal potential from spatial position
P 1T P 2T * * source 1 source 2 target d1,T d2,T # propagules = P 1T + P 2T What is the shape of the dispersal function?

37 # propagules = e(-d/a) The shapes of different dispersal functions
0.2 0.4 0.6 0.8 1 20 40 60 80 100 Distance (km) # propagules a=10 30 # propagules = e(-d/a) What is the most likely value for a?

38 The likelihood profile approach to estimate a
47 48 49 50 51 52 20 40 60 80 100 a -2 log likelihood 1995 The most likely a = 17

39 The dispersal function for 1995
Pi = exp(-d/17) 20 40 60 80 100 0.03 0.06 0.09 0.12 # dispersal events Distance (km)

40 Do spatial or local models best predict invasion?
probability + local variables dispersal potential 1995 10 20 30 40 50 60 70 80 90 local dispersal local + AIC

41 Do spatial or local models best predict invasion?
probability + local variables dispersal potential 90 80 70 local 60 dispersal 50 AIC local + dispersal 40 30 20 10 1993 1994 1995 1996 year

42 Conclusions from invasion model
Dispersal of Daphnia lumholtzi localized up to km Invasion limited by local environment and dispersal Local control more important than dispersal

43 How does dispersal ability vary among aquatic taxa
How does dispersal ability vary among aquatic taxa? How does dispersal ability affect patterns of diversity at different scales? with Karl Cottenie and Helmut Hillebrand (Ecology Letters, in review)

44 How should β-diversity change with distance?
bad dispersers good dispersers Tilman, Lehman and Kareiva Spatial Ecology

45 β-diversity versus distance for different taxa

46 Vertebrates show higher β-diversity, clumpier distributions
Slope (β vs. distance)

47 Conclusions Zooplankton show linear local-regional richness patterns
Experiments found strong invasion resistance, rapid dispersal Importance of dispersal increases with distance and body size


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