Terrestrial Consumers / Trophic Interactions - - PowerPoint PPT Presentation
Terrestrial Consumers / Trophic Interactions - - PowerPoint PPT Presentation
Terrestrial Consumers / Trophic Interactions Structure-Function-Biodiversity LTER VI Planning Workshop 1 September 2007 Anthony Joern Primary system drivers and grassland consumers? Prairie Structure & Function Grassland Drivers
Primary system drivers and grassland consumers?
Prairie Structure & Function Consumers Grassland Drivers
Konza Prairie Consumers …
- Focus of many long-term core data sets
- Major contributors to site biodiversity
- Highly variable dynamics, especially densities
- Major participants in food webs, contributing to
community & ecosystem dynamics
- Serve as key indicator species for understanding
global environmental change
- Major foci of conservation biology
Integration of LTER Research at Konza Prairie
New LTER Initiatives
Season of Fire Fire Reversal Exp. Insect Biodiversity and Ecology $
Fire Grazing Climate
Spatial and Temporal Heterogeneity
Tallgrass Prairie
- Genes
- Organisms
- Populations
- Communities
- Ecosystems
- Landscapes
Management Issues
Bison/Cattle Grazing $ Restoration $ Land Use / Land Cover Change $ Water Quality $
Climate Change
Climate Gradient Studies Flux Towers CO2, H20 $ Experimental Stream Studies $ Rainfall Manipulations $
Plot-Level Mechanistic Studies
Belowground
- Exp. Plots
Irrigation Transects P Addition Experiment Mycorrhizae & Soil C Exp $ LINX Studies $
Extending the Inference Of Konza Studies
Bud Bank Demography $ Invasive Species Cross-Site, Network & International Studies Ecological Genomics $
- Long-term LTER core data
- Landscape scale habitat use
- Long-term lekking activity
- Landscape-scale experiments
Avian Dynamics
Brett Sandercock, Kim With
Frequency of dry years
0.20 0.25 0.30 0.35 0.40 0.45
Stochastic growth rate (logλ)
- 0.05
0.00 0.05 0.10 0.15
Rapid drying Gradual drying Increased variability
Peromyscus leucopus
Year
1980 1985 1990 1995 2000 2005
Total Number Caught
20 40 60 80 100 120 140
Small Mammal Dynamics
Blarina hylophaga
Year
1980 1985 1990 1995 2000 2005
Total Number Caught
20 40 60 80 100 120
- D. Kaufman, G. Kaufman
- Long-term core data on small mammals
- Temporal dynamics of core species
- Responses to key ecosystem drivers
& land cover change
- Dynamic responses to climate change
Peromyscus maniculatus
Small Mammal Responses to Climate and Habitat Drivers
Four Research Phases in Konza LTER (since 1981) I Magnitude & causes in temporal/ spatial variation II Season of annual fire effects on populations III Impact of woody invasion (ongoing direction) IV Deer mouse demography (new direction) Key Points & Rationale
- Relevant to climate change themes
- Woody invasion/ habitat shifts changing communities
- Long term population trends provide baseline to link with
additional
- Critical vertebrate component of trophic structure
Aquatic Consumers
N1B
Discharge
0.001 0.01 0.1 1 10
Catch Per Unit Effort
0.0001 0.001 0.01 0.1 1
Year
98 99 00 01 02 03 04 05
Discharge
0.001 0.01 0.1 1 10
Catch Per Unit Effort
0.0001 0.001 0.01 0.1 1
Phoxinus Semotilis
95 96 97 98 99 00 01 02 03 04 05
Abundance (number/ minute e-fishing)
0.01 0.1 1 10 100
Stoneroller
- S. redbelly dace
Orangethroated darter Creek chub
Experimental Steams
- Long-term core data on fish
- Focus on stream permanence
- Impact of disturbance
- Stream macroinvertebrates & fish
- Links to ecosystem processes evident
- K. Gido, C. Paukert, & M. Whiles
Julian Day (1995)
60 80 100 120 140 160 180 200 220
Mean discharge (m3/s) 0.0 0.2 0.4 0.6 0.8 1.0 Julian Day (1995)
60 80 100 120 140 160 180 200 220
Mean discharge (m3/s) 2 4 6 8 10 12 14 Richness (# taxa) 5 10 15 20 25 Richness (# taxa) 5 10 15 20 25
Intermittent Reach Perennial Reach
Dry DryMacroinvertebrates
N flux (g N m-2)
0.00 0.05 0.10 0.15 0.20 0.25
Burned Unburned
Mowed Unmowed
Fert Cont Fert Cont Fert Cont Fert Cont
Mowed Unmowed
Biomass (g AFDM m-2)
0.0 0.5 1.0 1.5 2.0
- C. calliope
- T. aurifera
Terrestrial Arthropods & Nematodes
- Grasshoppers: Long-Term Core Data
- Responses to Prairie Drivers
- Food Webs & Trophic Cascades
- Parasitic hymenoptera biodiversity
- J. Blair, A. Joern, T. Todd,
- M. Whiles, G. Zolnerowich
KPBS LTER Acridids
1980 1985 1990 1995 2000 2005
Abundance (#/ 200 sweeps)
50 100 150 200 250
Core Long-Term Records
Analyses of long-term data are showing interesting insights with respect to role of key grassland drivers
- Grasshoppers: (Jonas & Joern. 2007. Oecologia 153: 699-711)
– Dynamics affected by fire, bison and weather at local and regional scales (see Jonas & Joern poster; 25 years)
- Fish: (Franssen et al. 2006. Freshwater Biology 51: 2072-2086)
– Seasonality rather than disturbance from floods is best predictor
- f stream fish assemblages
- Birds: (Powell. Auk 123: 183-197)
– Variable species-specific responses to annual burning and bison grazing significant; heterogeneous landscape best approach.
- Small Mammals: Matlack et al. 2002. Journal of Mammalogy 83:280-
289; Rehmeier et al. 2005. Journal of Mammalogy, 86:670-676.
– Strong weather signal and woody vegetation determines temporal dynamics; variable species responses to fire and grazing for spatial variation.
Andropogon gerardii
% Foliar N
0.0 0.5 1.0 1.5 2.0
% Foliar N
0.0 0.5 1.0 1.5 2.0 2.5
(a) (b)
Solidago missouriensis
P-Fertilzer (g/m2)
2 4 6 8 10
% Foliar P
0.00 0.05 0.10 0.15 0.20 0.25 0gN 10gN
P-Fertilizer (g/m2)
2 4 6 8 10
% Foliar P
0.00 0.04 0.08 0.12 0.16
0gN 10gN
P-Fertilization (g/m2)
- 2.5
0.0 2.5 5.0 7.5 10.0
Grasshopper Density (#/m2)
5 10 15 20
0gN/m2 10gN/ m2
Andropogon gerardii
2 4 6 8 10
Percentage Leaf Damage
10 20 30 0gN
10gN Solidago missouriensis P-Fertilizer (g/m2)
2 4 6 8 10
Percentage Leaf Damage
10 20 30
0gN 10gN
Stoichiometric responses
(Viviana Loaiza REU)
- N is key, little support for role of P
in grasshoppers in P-plots
- Useful to extend stoichiometric
approach to understand dynamics
- f trophic interactions
Some New Directions & Syntheses
- Synthesize scale-dependent processes affecting
consumer responses to canonical prairie drivers
- Develop detailed scale-dependent understanding of
effects of bison foraging on heterogeneity of vegetation structure, food quality, nutrient cycling, and plant species availability
- Determine the critical elements of habitat
heterogeneity in response to grazing-fire-climate interactions that underlie different consumer dynamics
- Further define the functional contributions of
consumers in tallgrass prairie, and their trophic interactions
- Develop detailed demographic studies of targeted taxa
to track consequences of climate and habitat change
- Plant species richness
- Vegetation height
- Foliar nutritional quality
- Variable microclimates &
structural microhabitats for smaller consumers
Bison Create Habitats & Heterogeneity
1-year burn 4-year burn Ungrazed Grazed
N 1 B
- N
T ra n s e c t 2 5 D is ta n c e A lo n g T ra n s e c t (m )
5 1 1 5 2Vegetation Height (cm)
1 2 3 4 5 6 1 D T ra n s e c t 2 5D is ta n c e A lo n g T ra n s e c t (m )
5 1 0 1 5 0 2 0 2 5 0 3Vegetation Height (cm)
1 2 3 4 5 N 4 D- E
T ra n s e c t 2 5
D is ta n c e A lo n g T ra n s e c t (m )
5 1 0 1 5 0 2 0 2 5 0 3Vegetation Height (cm)
1 2 3 4 5 6 K 4 B- E
fra s s
D is ta n c e A lo n g T ra n s e c t (m )
5 1 1 5 2 2 5Vegetation Height (cm)
2 4 6Vegetation Height
Consumer responses to heterogeneity induced by fire & grazing?
Remote sensing & forage quality
Characterizing & Scaling Effects of Habitat Heterogeneity
Grasshopper
Bison
Distribution of depends on bison, fire, soil nutrients Rabbits? Voles? Birds?
Hierarchical, scale- and size-dependent responses to habitat quality & structure?
OR
Ongoing: Konza-Kruger study of top-down effects of grazers/ browsers on vegetation dynamics and plant community
(Knapp, Smith, Collins, Blair)
Some Theory: size-dependent fractal relationships of habitat/ resource use by consumers
(Ritchie & OLff 1998)
Variable heterogeneity determines diversity Spatial Heterogeneity # Spp/ Individuals ?
Small herbivores more likely limited by food quality & habitat structure (ectotherms), large herbivores by quantity
Link Dynamics of Aboveground and Belowground Trophic Structure
- Use long-term belowground plot experiment to work out role
- f bottom-up processes determining trophic structure
- Link aboveground and belowground dynamics
- Have most resources needed to proceed – need conceptual
framework and explicit hypotheses
- Stable isotope technology may be useful
(Jonas Thesis, In prep)
Precipitation Topography & Edaphic Fire Frequency Grazing Landscape/ Management/ State Local Conditions Plant Species Vegetation Structure Temperature
Foliar
Quality Spiders Nutrients Consumed Grasshoppers Plant Biomass
Climate change affects biotic interactions: consumer responses
Mid-Summer Early Summer
Upper Limit Lower Limit
Time of Day Late Spring/ Early Summer
Integrate Understanding of Dynamics in Terrestrial & Aquatic Habitats
- Multiple approaches
- Can these be profitably linked?
Shredders 1o Production Wood CBOM FBOM SPOM Invert predators Gatherers Filterers Scrapers Crayfish Vertebrate predators
87 22 5 77 182164 7 24 17 34 2 3 30 95 1 2 10 1 (Stagliano and Whiles 2002) (Joern 2005)