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Global macro-economic, energy and environmental scenarios Brian D. Fath DYN, IIASA, Laxenburg, Austria Biology Department, Towson University Towson, Maryland, USA Outline • Overview of IIASA Activity • Ecosystem Indicators as guide for environmental management • Proposed CEEH Research IIASA: Science for Global Insight Leen Hordijk Director International Institute for Applied Systems Analysis Laxenburg, Austria Location of IIASA ViennaSchwechat Airport IIASA Premises Housed in Schloss Laxenburg, a renovated 18th century Habsburg palace, 30 minutes south of Vienna, Austria History • 1967 initiative of US Pres. Johnson and Soviet PM Kosygin • Create research center as “neutral bridge between east & west” • Original Charter signed in 1972 by 12 countries • 1994 Ministerial Conference: renewed mandate as independent, scientific institution • In addition to East–West, also North–South Identity A renowned research institute that is International Interdisciplinary (40% social science) Independent Sponsored by National Member Organizations from 19 countries International scientific staff (~184 persons, 85 person years from 27 nations) 19 Members in: • Austria • Netherlands • China • Norway • Czech Republic • Pakistan (NEW) • Egypt • Poland • Estonia • Russian Federation • Finland • South Africa (NEW) • Germany • Sweden • Hungary • Ukraine • India (NEW) • United States of America • Japan Research themes and programs 2006-2010 ENERGY and TECHONOLOGY Dynamic Systems Energy Transitions to New Technologies ENVIRONMENT and NATURAL RESOURCES Atmospheric Pollution and Economic Development Land-Use Change and Agriculture Evolution and Ecology Forestry Research themes and programs 2006-2010 POPULATION and SOCIETY Population and Climate Change World Population Processes of International Negotiation Risk and Vulnerability SPECIAL PROJECTS Health and Global Change Integrated Modeling Environment Greenhouse Gas Initiative Water Young Scientists Summer Program (YSSP) Advanced students June – August Work with IIASA programs Funded by NMO & other sources Publication January application deadline DYNAMIC SYSTEMS PROGRAM Strategic goals and objectives I. Methodological Development To develop analytic and numerical methods for estimation and control of large-scale dynamic systems II.Application To apply these methods to particular systems in IIASA’s research on global change: • • • • Economic Technology Energy Environment DYNAMIC SYSTEMS PROGRAM DYN Program Matrix Methodology Development Analyses of Technology and Energy Development Analyses of Environmental Dynamics Dynamical Systems Control Theory Game Theory Robust Stabilization Stochastic Optimization Identification and Observation Numerical Analyses Network Theory Ecosystem Indicators as guide for Environmental Management 1) Open systems: input-output models Ecological and Human systems 2) Network Analysis: understanding connectivity and indirect effects 3) Ecosystem Growth and Development Open systems …connect to their environment through both inputs and outputs Environment Source System Input-State-Output Sink Open Systems …build and maintain order and organization by taking in high quality energy, using it, and passing degraded energy outside of the system. High quality Energy Input System (human or natural) Low quality Energy output (waste heat) Ecological and human systems are open Input Output System Sustainability is dependent on the energymatter flows that support it AND having a sink for the waste. Simplified Ecosystem Simplified Human System Economy as a closed system A perpetual motion machine Economy as an open system Environment energy raw materials waste heat material waste Input Sustainability Challenges Limited Supply? Input ? Output System Energy Estimation Using Peak Production (M.K. Hubbert) North Sea Oil and Gas Production Global Oil and Gas Production Output Sustainability Challenges Limited Sink? Input Output ? System Environmental Impacts of Fossil Fuel Use Limited Sink for output Acid mine drainage Photochemical smog Climate Change Oil spills Sustainability Challenges System Dynamics ? Input Output System ? Input Output Ecosystem ? Environment Ecosystems have evolved and developed within these input-output environmental constraints. Thermodynamically, what patterns of organization arise in ecosystems? Ecosystem Development Trends (Odum 1969) Ecosystem Attribute Developmental Stage Mature Stage Community energetics Food chains Gross production/community respiration (P/R ratio) Biomass supported/unit energy flow (B/E ratio) Production/ Biomass (P/B ratio) linear >1 low high weblike ~1 high low Nutrients Mineral cycles Nutrient exchange rate open rapid closed slow Overall homeostasis Internal symbiosis Entropy Information undeveloped high low developed low high Ecosystem Growth and Development 0. Boundary Growth: Energy enters the system. I. Structural Growth: Increase in biomass. II. Network Growth: Development of system connectivity. III. Information Growth: Development of system behavior from exploitative patterns to more efficient ones. Ecological Goal Functions 1 Minimize specific entropy production (Prigogine 1947). Decrease in the respiration to biomass ratio. 2 Maximize energy throughflow (Odum 1983). Increase in the internal energy flow. 3 Maximize exergy degradation (Kay 1984). As the amount of exergy captured increases, so does the amount dissipated. 4 Maximize exergy storage (Jørgensen & Mejer 1977). Exergy storage (biomass) and information increase due to shift to more complex species composition. 5 Maximize retention time (Cheslak & Lamarra 1981). Biological components develop mechanisms to increase time lags to maintain the energy stores longer. Dynamic orientor, response to disturbance B A t s Ecosystem orientor E D C Time G H I J K F Conservation – mature stage Exergy stored Release – creative destruction Reorganization Exploitation – pioneer stage Connectedness Long-term dynamics System gets “reset” Developmental potential Connectedness Real long-term, after series of disturbances Exergy stored Connectedness Human modifications to ecosphere • Current human society encourages high Production/Biomass (P/B) – which is indicative of immature ecosystems such as agriculture, aquaculture, forestry. • Nature’s strategy is the reverse, a high B/P– maximize structure for a given amount of productivity. • This conflict of growth versus development is at the core of our environmental management issues today. Proposals for IIASA-CEEH collaboration I. Air Pollution Mortality and Long-run growth Ulla Lehmijoki (Helsinki University) and Elena Rovenskaya (IIASA/DYN) II. Analysis of Ecological Indicators and Network Methodologies Søren Nielsen (Copenhagen University) and Brian Fath (IIASA/DYN) Network Perspective • actors/objects and their actions are viewed as interdependent rather than independent, autonomous units • linkages between actors/objects are channels for transfer or flow of resources (material or nonmaterial) •the network structural environment provides opportunities for or constraints on individual action • network structure gives lasting patterns of relations (ecological, social, economic, political, and so forth) among actors/objects Wasserman and Faust 1994. Simplified fisheries model competition Seals Humans Cod Everything else From Yodzis, P, 1998, J. Animal Ecology, 635-658. More realistic fisheries model Humans A greater probability for decrease in total fisheries yield after reduction in seal biomass. Single species management gave poorest results. Yodzis, P, 1998, J. Animal Ecology, 635-658. Thank you for your Attention!