Natural climate solutions are identified and designed with full consideration of risks from climate extremes, natural disturbances, and socioeconomic events.

Prepared by Zach Zobel and Dave McGlinchey

 

Summary

The carbon stored in high-carbon ecosystems may take decades to centuries to replace if the stocks are lost. Avoiding the fragmentation or degradation of these ecosystems can result in an immediate reduction in emissions and can help protect biodiversity. When possible, restore degraded land to native vegetation and biodiversity while increasing carbon stocks to levels consistent with the potential of the site.

Description and rationale

The impacts of climate change are already being felt and will only worsen, with direct ramifications for natural systems throughout the United States. These impacts will then affect—to a greater or lesser degree—the ability of those natural systems—forests, grasslands, wetlands, and soils—to store carbon and mitigate climate change.

While developing NCS policies, risks should be considered for the range of potential climate change perils: drought, precipitation extremes, flooding, hurricanes, heat stress, invasive species, and wildfire. These hazards were identified as the prevalent risks in the United States out to mid-century—a timeframe that is relevant for both mitigation efforts and near-term policymaking. This information should be understood and internalized by policymakers to avoid implementing or investing in NCS that will not remain viable long-term, though some activities like reducing deforestation and forest degradation could help guard against future hazards. For example, climate risk modeling could help identify areas that will become more prone to drought—and thus, unsuitable for certain NCS—in coming decades.

Changing climate conditions will also shift ecological zones. For example, climate change is projected to alter the distribution of tree species as a result of environmental changes that will affect growth, mortality, reproduction, disturbances, and biotic interactions (Rogers et al. 2017). A region that currently sustains certain tree species could become inhospitable, or overrun by invasive species that outcompete native species, or could become warm enough for migrating pests. These projected changes will affect the net greenhouse gas balance of ecosystems in the future and could result in less net emissions reductions from a given NCS than expected.

How the principle may be applied to specific climate risks—drought and wildfire

1. Drought

Since the 1980s, droughts have been the second-most costly weather/climate disaster in the United States, generating an average $9.4 billion loss per event (NCEI NOAA). California and much of the western United States are arid regions, historically prone to drought (Bolinger 2019). The 2012–2016 California drought, driven primarily by record high temperatures and less than normal precipitation, was by some measures the state’s most extreme drought of the past century with the 2014 peak being the driest period over the last 1,200 years (Griffin & Anchukitis 2014). The drought caused a widespread mortality event of 48.9% of the state’s trees across 102 million acres of forests in 2014-2017 in the central and southern Sierra Nevadas, which may lead to forest type conversion or even a long-term shift to grassland (Fettig et al. 2019).

In the future, drought frequency and severity is expected to worsen as global temperatures increase and precipitation becomes more variable (Cook et al. 2015; Huang et al. 2017). By 2021-2050, the probability of extended severe drought increases to at least 3 times more likely (>3%) across most locations of western and central U.S, with severe drought becoming more than 20 times more likely in many locations (darker reds in Figure 1). Such widespread drought in these regions would affect all ecosystems, including those essential to sustain food supplies, and could severely impact NCS designed to reduce net GHG emissions by enhancing carbon sequestration in forests and soils.

Comparison maps of Yearly Probabilities (%) of a Severe Drought in 1971-2000 and 2021-2050.
Figure 1. Yearly Probabilities (%) of a Severe Drought in 1971-2000 and 2021-2050. A severe drought is defined as a 6-month average of extreme drought.

 

2. Wildfire

Fire is a natural process in many healthy forest ecosystems, but longer fire seasons, hotter and drier conditions, and the legacy of fire suppression and exclusion to reduce property loss, has resulted in a trend toward more, larger, and more intense wildfires.

The American Southwest is a prime example. The average acreage burned per year in the United States more than doubled from 2000-2019 relative to 1980-1999, and wildfire size has increased in most of the western United States (Center for Climate and Energy Solutions). In addition, the wildfire season is lengthening throughout much of the western United States, with increases in high-fire-danger days exceeding two weeks in some areas of California (Figure 2).

The increasing risk of wildfire poses a significant threat to forest-based NCS. However, conservation of large trees in mature and old-growth forests affords the greatest potential for growing carbon stocks while enhancing fire resilience.

Increase in fire danger days in 2021-2050 relative to 1971-2000 in western United States.
Figure 2. Increase in fire danger days in 2021-2050 relative to 1971-2000 in western United States. Areas lacking adequate vegetation or fuel along with areas where the fire weather index has low predictive skill historically have been masked out.

 

References

Bolinger, B. (2019) How Drought Prone Is Your State? A Look at the Top States and Counties in Drought Over the Last Two Decades. Drought.Gov. https://www.drought.gov/news/how-drought-prone-your-state-look-top-states-and-counties-drought-over-last-two-decades
CalFire. (2021) Welcome to Incident. CA.Gov. https://www.fire.ca.gov/incidents/2018/11/8/camp-fire/#incident-overview
Center for Climate and Energy Solutions. (2020) Wildfires and Climate Change. https://www.c2es.org/content/wildfires-and-climate-change
Cook, B.I., T.R. Ault, and J.E. Smerdon. (2015) Unprecedented 21st century drought risk in the American Southwest and Central Plains. Science Advances 1(1), e1400082. https://doi.org/10.1126/sciadv.1400082
Fettig, C.J., L.A. Mortenson, B.M. Bulaon, and P.B. Foulk. (2019) Tree mortality following drought in the central and southern Sierra Nevada, California, U.S. Forest Ecology and Management 432, 164–178. https://doi.org/10.1016/j.foreco.2018.09.006
Fire Weather Research Laboratory. Diablo Winds. https://www.fireweather.org/diablo-winds
Griffin, D. and K.J. Anchukaitis. (2014) How unusual is the 2012–2014 California drought? Geophysical Research Letters 41(24), 9017–9023. https://doi.org/10.1002/2014GL062433
Guzman-Morales, J., A. Gershunov, J. Theiss, H. Li, and D. Cayan. (2016) Santa Ana Winds of Southern California: Their climatology, extremes, and behavior spanning six and a half decades. Geophysical Research Letters 43(6), 2827–2834. https://doi.org/10.1002/2016GL067887
Huang, S., G. Leng, Q. Huang, Y. Xie, S. Liu, E. Meng, and P. Li. (2017) The asymmetric impact of global warming on US drought types and distributions in a large ensemble of 97 hydro-climatic simulations. Scientific Reports 7. https://doi.org/10.1038/s41598-017-06302-z
NCEI NOAA. DROUGHT: Monitoring Economic, Environmental, and Social Impacts.
https://www.ncdc.noaa.gov/news/drought-monitoring-economic-environmental-and-social-impacts
Rogers, B.M., P. Jantz, and S.J. Goetz. (2017) Vulnerability of eastern US tree species to climate change. Global Change Biology 23(8), 3302–3320. https://doi.org/10.1111/gcb.13585
Schwalm, C.R., S. Glendon, and P.B. Duffy. (2020) RCP8.5 tracks cumulative CO2 emissions. Proceedings of the National Academy of Sciences 117(33), 19656–19657. https://doi.org/10.1073/pnas.2007117117
Swann, A.L.S., F.M. Hoffman, C.D. Koven, and J.T. Randerson. (2016) Plant responses to increasing CO2 reduce estimates of climate impacts on drought severity. Proceedings of the National Academy of Sciences 113(36), 10019–10024. https://doi.org/10.1073/pnas.1604581113