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.2017 Jan 10;114(2):E122-E131.
doi: 10.1073/pnas.1611056113. Epub 2016 Dec 27.

Climate change damages to Alaska public infrastructure and the economics of proactive adaptation

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Climate change damages to Alaska public infrastructure and the economics of proactive adaptation

April M Melvin et al. Proc Natl Acad Sci U S A..

Abstract

Climate change in the circumpolar region is causing dramatic environmental change that is increasing the vulnerability of infrastructure. We quantified the economic impacts of climate change on Alaska public infrastructure under relatively high and low climate forcing scenarios [representative concentration pathway 8.5 (RCP8.5) and RCP4.5] using an infrastructure model modified to account for unique climate impacts at northern latitudes, including near-surface permafrost thaw. Additionally, we evaluated how proactive adaptation influenced economic impacts on select infrastructure types and developed first-order estimates of potential land losses associated with coastal erosion and lengthening of the coastal ice-free season for 12 communities. Cumulative estimated expenses from climate-related damage to infrastructure without adaptation measures (hereafter damages) from 2015 to 2099 totaled $5.5 billion (2015 dollars, 3% discount) for RCP8.5 and $4.2 billion for RCP4.5, suggesting that reducing greenhouse gas emissions could lessen damages by $1.3 billion this century. The distribution of damages varied across the state, with the largest damages projected for the interior and southcentral Alaska. The largest source of damages was road flooding caused by increased precipitation followed by damages to buildings associated with near-surface permafrost thaw. Smaller damages were observed for airports, railroads, and pipelines. Proactive adaptation reduced total projected cumulative expenditures to $2.9 billion for RCP8.5 and $2.3 billion for RCP4.5. For road flooding, adaptation provided an annual savings of 80-100% across four study eras. For nearly all infrastructure types and time periods evaluated, damages and adaptation costs were larger for RCP8.5 than RCP4.5. Estimated coastal erosion losses were also larger for RCP8.5.

Keywords: Alaska; adaptation; climate change; damages; infrastructure.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Alaska’s boroughs overlaid on a map of permafrost distribution across the state. The area defined as continuous permafrost has >90% of land underlain by permafrost, discontinuous represents 50–90% areal permafrost extent, sporadic indicates 10–50% areal permafrost extent, and isolated indicates >0–10% areal permafrost extent.
Fig. 2.
Fig. 2.
Annual damages [undiscounted and without adaptation in million US dollars (MUSD)] to each infrastructure type [(A) roads, (B) buildings, (C) airports, (D) railroads, and (E) pipelines] for four study eras. Values are the mean ± minimum, maximum for five GCMs and represent the mean annual damages (sum of all evaluated environmental stressors for each infrastructure type) for the 20 y included in each era. Note the difference in scales among panels.
Fig. S1.
Fig. S1.
Projected change in ALT in the years 2050 and 2090 for RCP4.5 and RCP8.5 for five GCMs included in this analysis. Negative values (red on the maps) indicate locations where near-surface permafrost is projected to be lost because of climate change. The cream-colored areas (−0.1–0) illustrate areas where permafrost was absent at the start of the study period.
Fig. 3.
Fig. 3.
(A andB) Cumulative damages (2015–2099; 3% discount) to infrastructure and (C andD) per capita damage estimates for each borough across Alaska for (A andC) RCP8.5 and (B andD) RCP4.5. Values for each borough represent the mean of five GCMs included in this analysis.
Fig. 4.
Fig. 4.
Bars illustrate the annual damages [undiscounted, in million US dollars (MUSD)] to (A) roads, (B) buildings, (C) airport runways, and (D) airport buildings specifically from flooding (blue) and precipitation (purple) for the two RCPs. Percentages represent the percentage savings in total expenditures for the given stressor and RCP resulting from proactive adaptation compared with mean estimated damages (where damages assume no adaptation). Adaptation costs were lower than estimated climate damages for all environmental stressors and infrastructure types shown here. Percentages greater than 100 indicate instances where estimated adaptation costs fell below the historical baseline maintenance costs. Values represent the mean (± minimum, maximum) for five GCMs. Note the difference in scales among panels.
Fig. 5.
Fig. 5.
(A) Length of coastal ice-free season and estimates of cumulative coastal land loss from erosion this century for select coastal communities in the (B) south (56°N to 60°N), (C) central (60°N to 65°N), and (D) north (>65°N) regions designated for this analysis.
Fig. S2.
Fig. S2.
(A) Absolute change in mean annual temperature (degrees Celsius) and (B) ratio of change in mean annual precipitation in 2080–2099 relative to the 1986–2005 baseline.
Fig. S3.
Fig. S3.
Projected length of the coastal ice-free season by decade for each study region [south (56°N to 60°N), central (60°N to 65°N), and north (>65°N)] through the end of the century under (A) RCP8.5 and (B) RCP4.5.
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References

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