Pacific Ecoinformatics and Computational Ecology Lab

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Pacific Ecoinformatics and Computational Ecology Lab Sustaining Ecological Networks and their Services: Network theory of biodiversity and ecosystem function Neo D. Martinez Pacific Ecoinformatics and Computational Ecology Lab www.FoodWebs.org 00

www.FoodWebs.org Eric Berlow Ulrich Brose Jennifer Dunne Neo Martinez Univ. of Cal., Merced Ulrich Brose Georg-August-U. Göttingen Jennifer Dunne Santa Fe Institute Neo Martinez Pacific Ecoinformatics & Computational Ecology Lab Tamara Romanuk Dalhousie University Rich Williams Microsoft Research Ilmi Yoon San Francisco State U.

Towards a theory of diversity and system function Knowledge: informs operator role of parts consequence of loss implications of change Towards a theory of diversity and system function Modules/communities components

Biodiversity and Ecosystem function Food-web theory of Biodiversity and Ecosystem function “Dominant Processes governing biodiversity” Consumer-resource interactions Network Structure and Function Martinez (1991) Artifacts or attributes? Effects of resolution on the Little Rock Lake food web. Ecol. Mon. 61:367-392.

Food-web Structure Theory Inputs are Species Diversity and Network Complexity Species Diversity (S) = 92, Connectance (C=L/S2) = 0.12 Martinez (1991) Artifacts or attributes? Effects of resolution on the Little Rock Lake food web. Ecol. Mon. 61:367-392.

Apparent Complexity Marine Estuary Lake Rain- forest Desert

Simple Link Distribution Rules Predicts Network Structure Underlying Simplicity Marine Normalized Data for 16Wwebs Estuary The Niche Model Lake Two Parameters (C,S) Simple Link Distribution Rules Predicts Network Structure Rain- forest Desert Williams & Martinez (2000) Simple rules yield complex food webs. Nature 404:180–183. Dunne, Williams & Martinez (2002) Food-web structure and network theory. PNAS 99:12917-12922.

Paleofoodwebs Compilation and Network Analyses of Cambrian Food Webs Dunne, Williams, Martinez, Wood & Erwin et al. 2008 PLoS Biology

Bioenergetic model for complex food webs # Prey Consumption Handling Attack Interference Extending Yodzis & Innes 1992 Time evolution of species’ biomasses in a food web result from: • Basal species grow via a carrying capacity, resource competition, or Tilman/Huisman models • Other species grow according to feeding rates and assimilation efficiencies (eji) • All species lose energy due to metabolism (xi) and consumption • Functional responses determine how consumption rates vary • Rates of production and metabolism (xi) scale with body size • Metabolism specific maximum consumption rate (yij) scales with body type Yodzis & Innes (1992) Body size and consumer-resource dynamics. Amer. Nat. 139:1151–1175. Williams & Martinez (2004) Stabilization of chaotic and non-permanent food web dynamics. Eur. Phys. J. B 38:297–303.

Theory predicts Population Dynamics and Evolution: 2 species in the lab

Allometric Trophic Network (ATN) Model 2009 PNAS 106:187-191 Allometric Trophic Network (ATN) Model Food Web Structure: Niche Model  Williams & Martinez 2000 Predator-Prey Interactions: Bioenergetic Model  Yodzis & Innes 1992  Williams & Martinez 2004  Brose et al. 2006 Plant Population Dynamics: Plant-Nutrient Model  Tilman 1982  Huisman & Weissing 1999

Simulation Methods STEP ONE: Create 150 Niche model webs (t=0) 30 species, initial C=0.05, 0.15, 0.30 STEP TWO: Create100 niche invaders (t=0) 30 species, initial C=0.15 STEP THREE: Generating persistent webs (t=0 to t=2000) S and C range STEP FOUR: Introducing invaders in the webs (t=2000 to t=4000) Running the simulations without invasions (t=2000 to t=4000)

Economic Effects of Humans on Ecosystems Increasing Herbivore Size Effects of Body Size on Fish Biomass with Barbara Bauer, Potsdam University Add economic nodes to ecological networks (Conrad 1999) E = exploitation effort p = price per unit biomass q = catchability c = cost per unit effort n = economic “openness” Increasing Carnivore Size Increasing Herbivore Size Effects of Body Size on Fishing Profit Body size of consumers strongly affect the function of trophic networks Fishing reduces body size which can reduce profits Management can alter body sizes of consumer in exploited ecosystems Increasing Fishing Profit Increasing Carnivore Size Increasing Herbivore Size

Visualization