Data and Modeling Infrastructure for National Integration of Ecosystem Services into Decision Making: Expert Summaries
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2017-07-17
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Resource managers face increasingly complex decisions as they attempt to manage for the long-term sustainability and the health of natural resources. Incorporating ecosystem services into decision processes provides a means for increasing public engagement and generating more transparent consideration of tradeoffs that may help to garner participation and buy-in from communities and avoid unintended consequences. A 2015 White House memorandum from the Council on Environmental Quality, Office of Management and Budget, and Office of Science Technology and Policy acknowledged these benefits and asked all federal agencies to incorporate ecosystem services into their decision making. This working paper, expanded since its initial publication in November 2016, describes the ecological and social data and models available for quantifying the production and value of many ecosystem services across the United States. To achieve nationwide inclusion of ecosystem services, federal agencies will need to continue to build out and provide support for this essential informational infrastructure.
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Olander, Lydia, Ken Bagstad, Gregory Characklis, Patrick Comer, Micah Effron, John Gunn, Tom Holmes, Robert Johnston, et al. (2017). Data and Modeling Infrastructure for National Integration of Ecosystem Services into Decision Making: Expert Summaries. Retrieved from https://hdl.handle.net/10161/26485.
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Scholars@Duke
Lydia Olander
Lydia Olander is a program director at the Nicholas Institute for Energy Environment & Sustainability at Duke University and adjunct professor at the Nicholas School of the Environment. She works on improving evidence-based policy and accelerating implementation of climate resilience, nature-based solutions, natural capital accounting, and environmental markets. She leads the National Ecosystem Services Partnership and sits on Duke’s Climate Commitment action team. She recently spent two years with the Biden administration at the Council on Environmental Quality as Director of Nature based Resilience and before that spent five years on the Environmental Advisory Board for the US Army Corps of Engineers. She is a fellow of the American Association for the Advancement of Science (AAAS) and widely published researcher. Prior to joining the Nicholas Institute, she spent a year as an AAAS Congressional Science and Technology Fellow working with Senator Joseph Lieberman on environmental and energy issues. She was a college scholar at Cornell University and earned her Master of Forest Science from Yale University and Ph.D. from Stanford University.
Lauren Patterson
Lauren Patterson joined Duke's Nicholas Institute for Environmental Policy Solutions as a policy associate in October 2013. Her research focuses on changes in average streamflow, floods, and droughts due to climate and human impacts. She has also worked on water utility financing, water transfers between utilities, and drought probabilities. Lauren has an affinity for data analysis and visualization.
Before joining the Nicholas Institute, she contracted at RTI International to provide geospatial and data analysis support in the development of ecological flow recommendations for North Carolina's Ecological Flow Advisory Board. Prior to her time at RTI, she worked at the Environmental Finance Center at the University of North Carolina, Chapel Hill, serving as a GIS and Financial Analyst focused on modeling future potential water transfers in North Carolina and developing sustainable finance strategies for the Upper Neuse watershed.
She has a Ph.D. in geography from the University of North Carolina, Chapel Hill.
Martin Ross
Martin Ross is a senior research economist at Duke University's Nicholas Institute for Environmental Policy Solutions, specializing in environmental and energy economics and macroeconomic-simulation modeling.
Prior to joining the Nicholas Institute at the end of 2011, he worked with RTI International where he developed the Applied Dynamic Analysis of the Global Economy (ADAGE) model, which is used by the U.S. Environmental Protection Agency (EPA) to respond to Congressional requests for legislative analyses. The ADAGE model can investigate many types of economic, energy, environmental, and trade policies at the international, national, and U.S. regional levels. It is particularly useful for examining how climate-change mitigation policies limiting carbon dioxide (CO2) emissions from energy consumption and non-CO2 greenhouse gas (GHG) emissions will affect all sectors of the economy, altering industrial and residential energy consumption and efficiency. Research conducted for the U.S. EPA Climate Change Division, the Stanford Energy Modeling Forum, and the Pew Center on Global Climate Change has involved using the ADAGE model to estimate U.S. macroeconomic impacts of legislative proposals to reduce GHG emissions. Other modeling by Ross has included developing a detailed technology model of electricity markets to examine how criteria pollutant and GHG policies affect capacity planning decisions and generation costs.
Prior to joining RTI, Ross spent several years at Charles River Associates where he developed regional models to look at effects of climate-change mitigation policies and macroeconomic impacts of electric-utility legislation. In addition to his legislative analysis, Ross has advised industry groups such as the Electric Power Research Institute and Edison Electric Institute on economic and electricity modeling, and is published in The Energy Journal, Energy Economics, and Climactic Change, among others.
Ross holds both a doctoral and master's degree in economics from the University of Colorado, Boulder, and a bachelor's degree in economics from Michigan State University.
Dean L. Urban
My interest in landscape ecology focuses on the agents and implications of pattern in forested landscapes. Increasingly, my research is in what has been termed "theoretical applied ecology," developing new analytic approaches to applications of immediate practical concern such as conservation planning. A hallmark of my Lab is the integration of field studies, spatial analysis, and simulation modeling in extrapolating our fine-scale empirical understanding of environmental issues to the larger space and time scales of management and policy.
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