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This study explores the complexities of systems through an insightful example of a rat infestation in a Gainesville home from 1928. Despite moving in with no rats, significant control efforts ensued within two years, complicated by two large dogs, numerous neighborhood cats, and the interplay of various ecological components. The article examines key elements of systems thinking, such as mutual causality, emergent behaviors, and interactions within ecosystems. Emphasizing the unpredictable nature of systems, the findings underline the importance of understanding these interconnections in addressing ecological and societal challenges.
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- - + A Rat Infestation • Gainesville home built in 1928 • No rats when we moved in • Lived there for just under 2 years • “Massive” control efforts by the end • Owners of 2 large dogs • Exceedingly poor hunters • Neighborhood of cat owners • Every direction (E, W, N, S) had one or more felines • Drove the dogs crazy…ever-vigilant border patrols
Elements of Systems • Boundary (the yard, canine patrolled) • Inputs and outputs (cats, dead rats) • Internal components (rats, dogs, cats) • Interactions • Positive interactions (rats breeding) • Negative interactions (cats on rats, dogs on cats)
Why Systems? • Interactions create complexity • Emergent behavior • Water is “wet” • Traffic snarls (even without accidents) • The Rise of Fall of Pet Rocks • Thresholds (tipping points) exist • Predicting these is enormously important • Global climate change, business cycles, disease epidemics • Epileptic seizures, landslides, fisheries collapse • Systems aren’t more complex than we think, they are more complex than we can think. • But…we have to try! $3.95 each (!)
Key Attributes of Systems I. • Mutual causality • Components affect each other, obscuring linear cause-effect • Popularity → sales → popularity • Poverty → soil erosion → poverty • Chicken → Egg → Chicken • Indirect effects • Component A exerts control over Component B via its action on Component C A B C A B
Indirect Effects - Aleutian Islands • Nutrients are essential for plant and animal production • Phosphorus (P) is often limiting nutrient • Essential for ribosomes and metabolism • Limited geologic source in the region • Amount of P controls the productivity of the ecosystem • Grassland production of Aleutian islands is P limited • Sea bird guano is a rich P source • Was mined for fertilizer for years Abundant P Depleted P Croll et al. (2005) - Science
Nutrients and Sea Birds • Seabirds eat fish from the sea but poop on land • Major flow of P from sea to land that supports productive grasslands + Fish Marine Birds + Soil P Grassland Production +
Predator Control of Ecosystems Arctic Foxes • Introduce Arctic Foxes • Top-predator • Seabirds never had a terrestrial predator • Decimated the sea-bird populations - + Fish Marine Birds + Soil P Grassland Production + Roughly 300% more soil P AND biomass on fox-free islands than on fox-infested islands
Key Attributes of Systems II. • Consist of processes at different space/time scales • Fast and slow variables • Humans and viruses • Evolution and extinction • Supply and demand • Systems are historically contingent • Deep dependence on what happened in the past • The Great Unfolding • Beta-max, Bacteria, Base 10 A B B A C
Fast and Slow: Beer and the Business Cycle • There exists a cycle of boom (bull) and bust (bear) periods in economic systems…WHY?
A Systems View of Boom and Bust • The structure of a system influences behavior. Systems cause their own problems, not external forces or individual errors. • Distribution chains (and economies) contain fast and slow moving parts • Communication between parts is LAGGED 2. Human systems include the way in which people make decisions. 3. People tend to focus on local optimization NOT global optimization.
Consider a Typical Supply Chain • Retailer: Sells products, varying consumer demand, orders to wholesalers for next weeks delivery • Wholesalers/Distributors: Distribute beer to multiple retailers, orders to brewery for two weeks in the future • Brewery: Make beer, adjust production to demand • ALL • Avoid the costs of excess and insufficient inventory J. Sterman at MIT http://web.mit.edu/jsterman/www/SDG/beergame.html
Beer Game Simulator Oscillation Team 1 Team 2 Team 3 Team 4 Brewery Wholesaler Distributor Retailer ORDERS Lag Amplification EXCESS/ BACKLOG Changing Demand
Dependence on History: Algae, Nutrients, and Shallow Lakes • Shallow lakes (< 10 m deep) • Two alternative “states” • Rooted vegetation (macrophytes) • Algae • Shifts between the two occur catastrophically, and BOTH can occur under the same environmental conditions • Where you are depends on where you’ve been
Self-Reinforcing Feedbacks in Shallow Lakes • Rooted Plant State • Plants require clear water • Plants stabilize sediments • Stable sediments keep water P concentrations low AND limit stirring • Low P limits algae and high clarity favors rooted plants • Algae State • Algae makes ooze • Ooze is easily stirred up, making the water turbid and recycling P • More P makes algae grow faster AND sediments looser via loss of plants • Regime shifts due to combined effects: • Too much P (human pollution) • Disturbances (pollution affects vulnerability)
Environmental Change and Ecosystem “State” Shifts Typical Models of Nature Emerging Model of Many Complex Systems Scheffer et al. (2001) - Nature
Thinking for Managing Complex Systems • The “state” of a system is controlled by external forces AND internal interactions • Indirect effects lead to surprising behavior • Fast and slow variables interact to create instability • Spatial variability (local vs. global variable) also • Managing for ONE THING often creates bigger problems later (discussion section)
The End Matt Cohen mjc@ufl.edu