Archive | 2021

The Global Emergence of Hotter-Drought Drivers of Forest Disturbance Tipping Points

 
 

Abstract


<p>Current research is presented on global-scale patterns and trends of forest responses to increasingly hotter droughts, particularly extensive tree mortality and forest die-offs involving a range of interactive disturbances (e.g., water stress, insect outbreaks, high-severity wildfire), illustrating emerging ecological changes and growing tipping-point risks to forests worldwide from hotter-drought extremes.&#160; Cross-scale observations and empirical findings &#8211; ranging from controlled experiments in pots and local plot-level vegetation data, to networks of carbon flux monitoring sites and globally synoptic remote-sensing data &#8211; increasingly indicate that amelioration of hotter-drought stress via fertilization of photosynthesis from elevated atmospheric CO<sup>2</sup>concentrations may soon be overwhelmed by heat and accelerated atmospheric drought.&#160; These findings highlight some current challenges in realistically projecting the future of global forest ecosystems (and their associated carbon pools and fluxes) with process-based Earth system models.&#160; In particular there is substantial evidence that &#8216;historical forests&#8217; &#8211; established by circa 1880 and dominated by larger, older trees &#8211; may be disproportionately vulnerable to increased growth stress and mortality under hotter-drought conditions from ongoing anthropogenic climate change.&#160; The fates of the world&#8217;s biggest, oldest trees and historical forests in response to global change are of vital importance, given that they are essential as:&#160; a) disproportionately large carbon sinks; &#160;b) among the most biodiverse and rare terrestrial ecosystems; &#160;c) irreplaceable archives of environmental history;&#160; and d) venerated for many spiritual, aesthetic, and other cultural reasons. &#160;Key scientific uncertainties that impede modeling progress are outlined, and examples of promising empirical modeling approaches are illustrated.</p>

Volume None
Pages None
DOI 10.5194/EGUSPHERE-EGU21-12096
Language English
Journal None

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