Adjusting Flood Peak Frequency Changes to Account for Climate Change Impacts in the Western United States

2018 ◽  
Vol 144 (3) ◽  
pp. 05017025 ◽  
Author(s):  
Edwin P. Maurer ◽  
Gretchen Kayser ◽  
Laura Doyle ◽  
Andrew W. Wood
2021 ◽  
Author(s):  
Colin J Carlson ◽  
Sarah N Bevins ◽  
Boris V Schmid

After several pandemics over the last two millennia, the wildlife reservoirs of plague (Yersinia pestis) now persist around the world, including in the western United States. Routine surveillance in this region has generated comprehensive records of human cases and animal seroprevalence, creating a unique opportunity to test how plague reservoirs are responding to environmental change. Here, we develop a new method to detect the signal of climate change in infectious disease distributions, and test whether plague reservoirs and spillover risk have shifted since 1950. We find that plague foci are associated with high-elevation rodent communities, and soil biochemistry may play a key role in the geography of long-term persistence. In addition, we find that human cases are concentrated only in a small subset of endemic areas, and that spillover events are driven by higher rodent species richness (the amplification hypothesis) and climatic anomalies (the trophic cascade hypothesis). Using our detection model, we find that due to the changing climate, rodent communities at high elevations have become more conducive to the establishment of plague reservoirs - with suitability increasing up to 40% in some places - and that spillover risk to humans at mid-elevations has increased as well, although more gradually. These results highlight opportunities for deeper investigation of plague ecology, the value of integrative surveillance for infectious disease geography, and the need for further research into ongoing climate change impacts.


Forests ◽  
2015 ◽  
Vol 6 (12) ◽  
pp. 3197-3211 ◽  
Author(s):  
Hyunjin An ◽  
Jianbang Gan ◽  
Sung Cho

2012 ◽  
Vol 18 (6) ◽  
pp. 731-758 ◽  
Author(s):  
Russell Jones ◽  
Constance Travers ◽  
Charles Rodgers ◽  
Brian Lazar ◽  
Eric English ◽  
...  

2009 ◽  
Vol 22 (13) ◽  
pp. 3838-3855 ◽  
Author(s):  
H. G. Hidalgo ◽  
T. Das ◽  
M. D. Dettinger ◽  
D. R. Cayan ◽  
D. W. Pierce ◽  
...  

Abstract This article applies formal detection and attribution techniques to investigate the nature of observed shifts in the timing of streamflow in the western United States. Previous studies have shown that the snow hydrology of the western United States has changed in the second half of the twentieth century. Such changes manifest themselves in the form of more rain and less snow, in reductions in the snow water contents, and in earlier snowmelt and associated advances in streamflow “center” timing (the day in the “water-year” on average when half the water-year flow at a point has passed). However, with one exception over a more limited domain, no other study has attempted to formally attribute these changes to anthropogenic increases of greenhouse gases in the atmosphere. Using the observations together with a set of global climate model simulations and a hydrologic model (applied to three major hydrological regions of the western United States—the California region, the upper Colorado River basin, and the Columbia River basin), it is found that the observed trends toward earlier “center” timing of snowmelt-driven streamflows in the western United States since 1950 are detectably different from natural variability (significant at the p < 0.05 level). Furthermore, the nonnatural parts of these changes can be attributed confidently to climate changes induced by anthropogenic greenhouse gases, aerosols, ozone, and land use. The signal from the Columbia dominates the analysis, and it is the only basin that showed a detectable signal when the analysis was performed on individual basins. It should be noted that although climate change is an important signal, other climatic processes have also contributed to the hydrologic variability of large basins in the western United States.


2014 ◽  
Vol 131 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Stephanie T. Waldhoff ◽  
Jeremy Martinich ◽  
Marcus Sarofim ◽  
Benjamin DeAngelo ◽  
Jim McFarland ◽  
...  

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