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Programming Adaptation: How Modeling...

Nost, Eric.

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Programming Adaptation: How Modeling Informs Environmental Policy in Louisiana's Coastal Master Plan.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Programming Adaptation: How Modeling Informs Environmental Policy in Louisiana's Coastal Master Plan./
Author:	Nost, Eric.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	272 p.
Notes:	Source: Dissertations Abstracts International, Volume: 79-11, Section: A.
Contained By:	Dissertations Abstracts International79-11A.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10822462
ISBN:	9780355947892

Programming Adaptation: How Modeling Informs Environmental Policy in Louisiana's Coastal Master Plan.
Nost, Eric.

Programming Adaptation: How Modeling Informs Environmental Policy in Louisiana's Coastal Master Plan. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 272 p.

Source: Dissertations Abstracts International, Volume: 79-11, Section: A.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018.

This item must not be sold to any third party vendors.

Environmental policy increasingly centers on deploying digital infrastructures consisting of modeling software, databases, sensor hardware, and web interfaces. While we often hear about the (potential) impacts of tech-driven policy, we hear little from behind the scenes of this infrastructure. I ask, who develops ecosystem models and how are they funded? What are the norms for learning from such models? What protocols govern how modeling is implemented in decision-making? I make a single broad claim in this dissertation: the way that governments and civil society actors manage the environment cannot be understood apart from the way they manage technology. In particular, I examine ecosystem models designed to enable policy that is experimental, responsive, and unburdened by uncertainties - attributes commonly referred to as "adaptive management". There are few places better than coastal Louisiana to document the opportunities and challenges of using modeling to drive adaptation. Land loss makes Louisiana the world's fastest submerging place and threatens coastal residents, wildlife habitats, and a significant portion of the US's energy infrastructure. Between 2012 and 2017, state agencies utilized modeling to generate and implement their latest "Master Plan" for address land loss. The plan describes which ecological restoration and flood protection projects the state will invest in over the next 30 years. Planners rely on the Integrated Compartment Model (ICM) to simulate coastal change, evaluate how projects will build or maintain land, and select projects. I follow the ICM as planners and modelers develop, learn from, and apply it. I employed three modes of fieldwork: document analysis, semi-structured interviews, and participant observation. Through these, I triangulated what planners wrote about the ICM, what they said about it, and what they did with it. In doing so, this dissertation takes up Robbins and Moore (2015)'s call to characterize how technology produces specific social and ecological outcomes. The study demonstrates when modeling may enable transformative adaptive management. Rather than focusing on either the social dimensions of modeling (e.g. do scientists and policy-makers trust one another?) or its technical dimensions (e.g. is there enough data?), the study takes a sociotechnical approach that sees both dimensions as inseparable.

ISBN: 9780355947892Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

Adaptive management

Programming Adaptation: How Modeling Informs Environmental Policy in Louisiana's Coastal Master Plan.
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