Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

California forest die-off linked to multi-year deep soil drying in 2012–2015 drought

Abstract

Widespread episodes of recent forest die-off have been tied to the occurrence of anomalously warm droughts, although the underlying mechanisms remain inadequately understood. California’s 2012–2015 drought, with exceptionally low precipitation and warmth, and widespread conifer death, provides an opportunity to explore the chain of events leading to forest die-off. Here, we present the spatial and temporal patterns of die-off and moisture deficit during California’s drought, based on field and remote sensing observations. We found that die-off was closely tied to multi-year deep-rooting-zone drying, and that this relationship provides a framework with which to diagnose and predict mortality. Marked tree death in an intensively studied Sierra Nevada forest followed a four-year moisture overdraft, with cumulative 2012–2015 evapotranspiration exceeding precipitation by ~1,500 mm, and subsurface moisture exhaustion to 5–15-m depth. Observations across the entire Sierra Nevada further linked tree death to deep drying, with die-off and moisture overdraft covarying across latitude and elevation. Unusually dense vegetation and warm temperatures accelerated southern Sierran evapotranspiration in 2012–2015, intensifying overdraft and compounding die-off by an estimated 55%. Climate change is expected to further amplify evapotranspiration and moisture overdraft during drought, potentially increasing Sierran tree death during drought by ~15–20% °C−1.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Patterns of drought, temperature and die-off in the southern Sierra Nevada.
Fig. 2: Sequence of events leading to forest die-off at field sites.
Fig. 3: Spatial patterns of die-off and moisture overdraft across the Sierra Nevada.
Fig. 4: Comparison of die-off and moisture overdraft between 1987–1992 and 2012–2015 droughts.

Similar content being viewed by others

Data availability

Data are available from UC Irvine Dash, https://doi.org/10.7280/D1DH3B.

References

  1. Breshears, D. D. et al. Regional vegetation die-off in response to global-change-type drought. Proc. Natl Acad. Sci. USA 102, 15144–15148 (2005).

    Article  Google Scholar 

  2. Van Mantgem, P. J. et al. Widespread increase of tree mortality rates in the western United States. Science 323, 521–524 (2009).

    Article  Google Scholar 

  3. Allen, C. D. et al. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For. Ecol. Manag. 259, 660–684 (2010).

    Article  Google Scholar 

  4. Fellows, A. W. & Goulden, M. L. Rapid vegetation redistribution in Southern California during the early 2000s drought. J. Geophys. Res. Biogeosci. 117, G03025 (2012).

    Article  Google Scholar 

  5. Williams, A. P. et al. Temperature as a potent driver of regional forest drought stress and tree mortality. Nat. Clim. Change 3, 292–297 (2013).

    Article  Google Scholar 

  6. Allen, C. D., Breshears, D. D. & McDowell, N. G. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene. Ecosphere 6, 1–55 (2015).

    Article  Google Scholar 

  7. McDowell, N. et al. Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? New Phytol. 178, 719–739 (2008).

    Article  Google Scholar 

  8. McDowell, N. G., Ryan, M. G., Zeppel, M. J. B. & Tissue, D. T. Improving our knowledge of drought-induced forest mortality through experiments, observations, and modeling. New Phytol. 200, 289–293 (2013).

    Article  Google Scholar 

  9. Jump, A. S. et al. Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback. Glob. Change Biol. 23, 3742–3757 (2017).

    Article  Google Scholar 

  10. Griffin, D. & Anchukaitis, K. J. How unusual is the 2012–2014 California drought? Geophys. Res. Lett. 41, 9017–9023 (2014).

    Article  Google Scholar 

  11. Asner, G. P. et al. Progressive forest canopy water loss during the 2012–2015 California drought. Proc. Natl Acad. Sci. USA 113, E249–E255 (2016).

    Article  Google Scholar 

  12. Williams, A. P. et al. Contribution of anthropogenic warming to California drought during 2012–2014. Geophys. Res. Lett. 42, 6819–6828 (2015).

    Article  Google Scholar 

  13. Bales, R. C. et al. Mechanisms controlling the impact of multi-year drought on mountain hydrology. Sci. Rep. 8, 690 (2018).

    Article  Google Scholar 

  14. Coleman, T. W. et al. Accuracy of aerial detection surveys for mapping insect and disease disturbances in the United States. For. Ecol. Manag. 430, 321–336 (2018).

    Article  Google Scholar 

  15. Hardisky, M. A., Klemas, V. & Smart, R. M. The influence of soil-salinity, growth form, and leaf moisture on the spectral radiance of Spartina alterniflora canopies. Photogramm. Eng. Remote Sens. 49, 77–83 (1983).

    Google Scholar 

  16. Yilmaz, M. T., Hunt, E. R. & Jackson, T. J. Remote sensing of vegetation water content from equivalent water thickness using satellite imagery. Remote Sens. Environ. 112, 2514–2522 (2008).

    Article  Google Scholar 

  17. Goodwin, N. R. et al. Estimation of insect infestation dynamics using a temporal sequence of Landsat data. Remote Sens. Environ. 112, 3680–3689 (2008).

    Article  Google Scholar 

  18. Byer, S. & Jin, Y. F. Detecting drought-induced tree mortality in Sierra Nevada forests with time series of satellite. Data. Remote Sens. 9, 929 (2017).

    Article  Google Scholar 

  19. Paz-Kagan, T. et al. What mediates tree mortality during drought in the southern Sierra Nevada? Ecol. Appl. 27, 2443–2457 (2017).

    Article  Google Scholar 

  20. Goulden, M. L. et al. Evapotranspiration along an elevation gradient in California’s Sierra Nevada. J. Geophys. Res. Biogeosci. 117, G03028 (2012).

    Article  Google Scholar 

  21. Goulden, M. L. & Bales, R. C. Mountain runoff vulnerability to increased evapotranspiration with vegetation expansion. Proc. Natl Acad. Sci. USA 111, 14071–14075 (2014).

    Article  Google Scholar 

  22. Klos, P. Z. et al. Subsurface plant-accessible water in mountain ecosystems with a Mediterranean climate. Wiley Interdiscip. Rev. Water 5, e1277 (2018).

    Article  Google Scholar 

  23. O’Geen, A. et al. Southern Sierra Critical Zone Observatory and Kings River Experimental Watersheds: a synthesis of measurements, new insights, and future directions. Vadose Zone J. 17, 180081 (2018).

    Article  Google Scholar 

  24. Fellows, A. W. & Goulden, M. L. Mapping and understanding dry season soil water drawdown by California montane vegetation. Ecohydrology 10, e1772 (2017).

    Article  Google Scholar 

  25. Schenk, H. J. & Jackson, R. B. Rooting depths, lateral root spreads and below-ground/above-ground allometries of plants in water-limited ecosystems. J. Ecol. 90, 480–494 (2002).

    Article  Google Scholar 

  26. Anderegg, W. R. L. et al. Tree mortality from drought, insects, and their interactions in a changing climate. New Phytol. 208, 674–683 (2015).

    Article  Google Scholar 

  27. Franklin, J. F., Shugart, H. H. & Harmon, M. E. Tree death as an ecological process. Bioscience 37, 550–556 (1987).

    Article  Google Scholar 

  28. Daly, C. et al. Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States. Int. J. Climatol. 28, 2031–2064 (2008).

    Article  Google Scholar 

  29. Argus, D. F. et al. Sustained water loss in California’s mountain ranges during severe drought from 2012 to 2015 inferred from GPS. J. Geophys. Res. Solid Earth 122, 10559–10585 (2017).

    Article  Google Scholar 

  30. Ferrell, G. T. in Sierra Nevada Ecosystem Project: Final Report to Congress, Vol. II. Assessments and Scientific Basis for Management Options 1177–1192 (University of California, Davis and Centers for Water and Wildlands Resources, 1996).

  31. Kelly, A. & Goulden, M. Rapid shifts in plant distribution with recent climate change. Proc. Natl Acad. Sci. USA 105, 11823–11826 (2008).

    Article  Google Scholar 

  32. Pierce, D. W. et al. Probabilistic estimates of future changes in California temperature and precipitation using statistical and dynamical downscaling. Clim. Dynam. 40, 839–856 (2013).

    Article  Google Scholar 

  33. Swain, D. L., Langenbrunner, B., Neelin, J. D. & Hall, A. Increasing precipitation volatility in twenty-first-century California. Nat. Clim. Change 8, 427–433 (2018).

    Article  Google Scholar 

  34. Berg, N. & Hall, A. Increased interannual precipitation extremes over California under climate change. J. Clim. 28, 6324–6334 (2015).

    Article  Google Scholar 

  35. Trujillo, E., Molotch, N. P., Goulden, M. L., Kelly, A. E. & Bales, R. C. Elevation-dependent influence of snow accumulation on forest greening. Nat. Geosci. 5, 705–709 (2012).

    Article  Google Scholar 

  36. Wilmers, C. C., Post, E. & Hastings, A. A perfect storm: the combined effects on population fluctuations of autocorrelated environmental noise, age structure, and density dependence. Am. Nat. 169, 673–683 (2007).

    Article  Google Scholar 

  37. Deser, C., Phillips, A. S., Alexander, M. A. & Smoliak, B. V. Projecting North American climate over the next 50 years: uncertainty due to internal variability. J. Clim. 27, 2271–2296 (2014).

    Article  Google Scholar 

  38. Thom, D. & Seidl, R. Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests. Biol. Rev. 91, 760–781 (2016).

    Article  Google Scholar 

  39. Kelly, A. E. & Goulden, M. L. A montane Mediterranean climate supports year-round photosynthesis and high forest biomass. Tree Physiol. 36, 459–468 (2016).

    Article  Google Scholar 

  40. Twine, T. E. et al. Correcting eddy-covariance flux underestimates over a grassland. Agric. For. Meteorol. 103, 279–300 (2000).

    Article  Google Scholar 

  41. Grier, C. C. & Running, S. W. Leaf area of mature northwestern coniferous forests—relation to site water-balance. Ecology 58, 893–899 (1977).

    Article  Google Scholar 

  42. Gholz, H. L. Environmental limits on above-ground net primary production, leaf-area, and biomass in vegetation zones of the Pacific Northwest. Ecology 63, 469–481 (1982).

    Article  Google Scholar 

  43. Carlson, T. N. & Ripley, D. A. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 62, 241–252 (1997).

    Article  Google Scholar 

  44. Gamon, J. et al. Relationships between NDVI, canopy structure, and photosynthesis in 3 Californian vegetation types. Ecol. Appl. 5, 28–41 (1995).

    Article  Google Scholar 

  45. Markham, B. L. & Helder, D. L. Forty-year calibrated record of Earth-reflected radiance from Landsat: a review. Remote Sens. Environ. 122, 30–40 (2012).

    Article  Google Scholar 

  46. Masek, J. G. et al. A Landsat surface reflectance dataset for North America, 1990–2000. IEEE Geosci. Remote Sens. Lett. 3, 68–72 (2006).

    Article  Google Scholar 

  47. Ju, J. C. & Masek, J. G. The vegetation greenness trend in Canada and US Alaska from 1984–2012 Landsat data. Remote Sens. Environ. 176, 1–16 (2016).

    Article  Google Scholar 

  48. Sulla-Menashe, D., Fried, M. A. & Woodcock, C. E. Sources of bias and variability in long-term Landsat time series over Canadian boreal forests. Remote Sens. Environ. 177, 206–219 (2016).

    Article  Google Scholar 

  49. Roy, D. P. et al. Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity. Remote Sens. Environ. 185, 57–70 (2016).

    Article  Google Scholar 

  50. Zhu, Z. & Woodcock, C. E. Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: an algorithm designed specifically for monitoring land cover change. Remote Sens. Environ. 152, 217–234 (2014).

    Article  Google Scholar 

  51. Zhang, H. K. & Roy, D. P. Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change. Remote Sens. Environ. 186, 217–233 (2016).

    Article  Google Scholar 

  52. Brodrick, P. G., Anderegg, L. D. L. & Asner, G. P. Forest drought resistance at large geographic scales. Geophys. Res. Lett. 46, 2752–2760 (2019).

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the US National Science Foundation, through the SSCZO (EAR-1331931), US Department of Agriculture (2018–67004–27405) and University of California Laboratory Fees Research Program. The eddy covariance sites were located at the San Joaquin Experimental Range, Kings River Experimental Watershed and Sierra National Forest in cooperation with the USFS.

Author information

Authors and Affiliations

Authors

Contributions

M.L.G. and R.C.B. designed the research. M.L.G. performed the research. M.L.G. analysed the data. M.L.G. and R.C.B. wrote the paper.

Corresponding author

Correspondence to M. L. Goulden.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–12

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Goulden, M.L., Bales, R.C. California forest die-off linked to multi-year deep soil drying in 2012–2015 drought. Nat. Geosci. 12, 632–637 (2019). https://doi.org/10.1038/s41561-019-0388-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41561-019-0388-5

This article is cited by

Search

Quick links

Nature Briefing Microbiology

Sign up for the Nature Briefing: Microbiology newsletter — what matters in microbiology research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Microbiology