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The role of drought preparedness in building and mobilizing adaptive capacity in states and their community water systems

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Abstract

The likely intensification of extreme droughts from climate change in many regions across the United States has increased interest amongst researchers and water managers to understand not only the magnitude of drought impacts and their consequences on water resources, but also what they can do to prevent, respond to, and adapt to these impacts. Building and mobilizing ‘adaptive capacity’ can help in this pursuit. Researchers anticipate that drought preparedness measures will increase adaptive capacity, but there has been minimal testing of this and other assumptions about the governance and institutional determinants of adaptive capacity. This paper draws from recent extreme droughts in Arizona and Georgia to empirically assess adaptive capacity across spatial and temporal scales. It combines quantitative and qualitative methodologies to identify a handful of heuristics for increasing adaptive capacity of water management to extreme droughts and climate change, and also highlights potential tradeoffs in building and mobilizing adaptive capacity across space and time.

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Notes

  1. Since conducting this research, the Southwest and Southeast have both experienced additional extreme droughts, such as the widespread drought of 2012.

  2. A complete reference list of the documents analyzed and a more in-depth description of the design and instruments used in this research are available from the author upon request.

  3. The SPI is a comparable metric across locations for evaluating climate stress on hydrological processes calculated based on the probability of precipitation for various time scales (e.g., 1, 2, 3, 6, 9, 12, and 24 month intervals). Through a normalization and standardization process, the values can be compared across regions.

  4. The 6-month SPI was used, because it corresponds with the same timeframe on which the management data were collected with the EHC (6-month increments representing ‘winter’ and ‘summer’). In addition, two ‘lagged’, or delayed response, relationships of the 6-month SPI were evaluated across all systems (i.e., a 6-month lag, and a 12-month lag) to determine if the implementation of the drought preparedness approaches was more immediate or delayed (by one or two lagged periods on the EHC).

  5. Since conducting this research, budget cuts have affected state drought preparedness measures in Arizona. While the overall ASDPP process remains in place, the cuts indicate the dynamic and potentially fragile nature of building adaptive capacity through drought preparedness.

  6. As with Arizona, recent changes in Georgia’s drought preparedness approach reflect the dynamism and oftentimes vulnerable nature of building adaptive capacity. Through an executive order in 2011, Georgia’s Governor folded the once independent State Climatologist Office into the Governor’s executive branch. The Governor also replaced the 12-year-serving State Climatologist.

  7. Officially, Georgia requires water conservation and drought ordinances for CWSs to obtain water withdrawal permits. However, these ‘plans’ are rarely produced by the CWSs, or not enforced (often overridden) by the State.

  8. The qualitative data coding exercise classified 30 bridge and 21 barrier categories in both states. A more thorough description of these categories and specific examples from both states are available from the author upon request.

  9. Only one- and two-period lags (i.e., 6-month and 12-month lags) were evaluated, because additional lag periods would have omitted progressively more data at the beginning stages of the timeframe; reducing the power of the results and making it increasingly difficult to identify significant relationships.

  10. Only a 10-year period was investigated. Some approaches might have already been entrenched within a CWS at the beginning this timeframe, making it difficult to detect longer-term relationships between droughts and the implementation of certain management approaches. The qualitative data from the EHC prove valuable in addressing these issues by verifying and augmenting the patterns discovered in the quantitative data.

  11. This particular finding on the role of boundary organizations in improving adaptation processes is also supported by a recent study by Corfee-Morlot et al. 2011.

Abbreviations

AM:

Adaptive management

ASDPP:

Arizona State Drought Preparedness Plan

CLIMAS:

Climate Assessment for the Southwest

CWS:

Community water system

DRC:

Drought Response Committee

EHC:

Event history calendar

EPD:

Environmental Protection Division

GDMP:

Georgia Drought Management Plan

ICG:

Interagency Coordinating Group

IR:

Integrated resources planning

IWRM:

Integrated water resources management

LDIG:

Local Drought Impact Group

LHC:

Life history calendar

MNGWPD:

Metropolitan North Georgia Water Planning District

MTC:

Monitoring Technical Committee

NGO:

Non-governmental organization

RISA:

Regional Integrated Sciences and Assessments

SECC:

Southeast Climate Consortium

SPI:

Standardized Precipitation Index

SRP:

Salt River Project

U.S.:

United States

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Acknowledgments

Maria Carmen Lemos, Richard Moss, and Ariane de Bremond significantly helped guide this paper to completion. Rosina Bierbaum, Dan Brown, Steve Wright, and two anonymous reviewers provided helpful comments on earlier versions of this manuscript. Christine Kirchhoff played an integral role in developing survey instruments associated with portions of this research. Finally, the author is indebted to the Dan David Foundation Fellowship and the University of Michigan’s School of Natural Resources and Environment and Rackham Graduate School for financial support, as well as the numerous water managers and other participants who donated their time to make this research possible.

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Correspondence to Nathan L. Engle.

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Engle, N.L. The role of drought preparedness in building and mobilizing adaptive capacity in states and their community water systems. Climatic Change 118, 291–306 (2013). https://doi.org/10.1007/s10584-012-0657-4

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