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2014 | OriginalPaper | Chapter

4. Managing Adaptation: Developing a Learning Infrastructure in the United States’ Federal System

Author : Alejandro E. Camacho

Published in: Implementing Adaptation Strategies by Legal, Economic and Planning Instruments on Climate Change

Publisher: Springer Berlin Heidelberg

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Abstract

Though there is much solid evidence that anthropogenic climate change has already had and will increasingly have substantial adverse effects on biota and ecological processes, the chief barrier to effective natural resource governance over the next few decades will likely be the exceptional uncertainty that accompanies attempts to adapt to the effects of climate change on natural systems. Consequently, the effective adaptation of natural resource management to climate change hinges on the development of a regulatory infrastructure that provides public and private actors the capacity to assess and manage uncertainty. This chapter briefly sketches the options originally considered for natural resource governance in the United States, their insufficiency in the key function of managing uncertainty, and how to build a more effective federal system for managing natural resources in preparation for climate change. Uncertainty underscores the value of regulatory experimentation and learning in a largely decentralized and overlapping federal system, and suggests a crucial role for national governments and international institutions of promoting agency learning and inter-jurisdictional information sharing.

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Footnotes
1
These include claims that fragmented and overlapping governance can result in an inefficient lack of finality, poor regulator accountability (Schapiro 2005), and the potential for inefficient over-regulation when ‘numerous regulators are confronted with a more particularized project or proposal with localized and discernible effects’ (Buzbee 2005, p. 349).
 
2
In fragmented regulatory contexts, a regulator has less incentive to act because credit will most likely be divided among all regulators (Buzbee 2003).
 
3
Though this bill was initially adopted by the House of Representatives, it was never adopted by the Senate.
 
4
In contrast, a less integrated structure might require each federal agency to develop an adaptation plan, but not require such plans to be consistent with a centralized adaptation strategy.
 
5
For example, such a case might exist if there is directly conflicting or redundant authority by regulators without a discernable difference in subject matter competence. In addition, ‘local research into health effects, safe exposure thresholds, and potential control strategies could be duplicative. Accordingly, such research may be conducted more efficiently at the federal level’ (Adler 2005, p. 148).
 
6
Evaluations of collaborative governance experiments have found that scarce information about ecological processes, management strategies, and agency performance contributes greatly to failure by collaborative experiments (Karkkainen 2008).
 
7
For a more detailed critique of the capacity of existing regulatory programs in the United States to engage in adaptive learning, see Camacho (2009).
 
8
‘The complex scientific underpinnings of many environmental challenges favor allocation of research and information sharing functions to the federal government. Even if inter-jurisdictional competition is viewed as a good, one can embrace allocation of such information-gathering functions to federal actors’ (Buzbee 2005, p. 353).
 
9
The pilot program also designates six NEP estuaries for targeted technical support from EPA, and intermittently hosts workshops that assemble officials with jurisdiction over estuaries to discuss adaptation planning (Climate Ready Estuaries 2010).
 
10
For a more comprehensive delineation of such an inter-jurisdictional adaptive governance framework, see Camacho (2009, 2011).
 
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Metadata
Title
Managing Adaptation: Developing a Learning Infrastructure in the United States’ Federal System
Author
Alejandro E. Camacho
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-77614-7_4