Abstract

Climate change will impact precipitation variability, potentially accelerating climate-terrestrial carbon feedbacks. However, the response of ecosystems to precipitation variability is difficult to constrain due to myriad physiological and abiotic variables that limit terrestrial productivity. Based on a combination of satellite imagery and a global network of daily precipitation data, we present here a statistical framework to isolate the impact of precipitation variability on the gross primary productivity of five biomes that collectively account for 50% of global land area. The productivity of mesic grasslands and forests decreases by ~28% and ~7% (respectively) in response to more irregular rain within the year, while the sensitivity is halved in response to higher year-to-year variability. Xeric grasslands are similarly impacted by intra-annual rainfall variance, but they show an increase in productivity with higher interannual rainfall variability. Conversely, the productivity of boreal forests increases under higher variability on both timescales. We conclude that projected changes in precipitation variability will have a measurable global impact on the terrestrial carbon sink.

Grasslands and forests respond differently to changes in rainfall variability in a changing climate, which could affect the terrestrial carbon sink, suggests this statistical analysis of rainfall responses in five biomes.

Details

Title
Distinct response of gross primary productivity in five terrestrial biomes to precipitation variability
Author
Ritter, François 1 ; Berkelhammer, Max 1   VIAFID ORCID Logo  ; Garcia, Cynthia 1 

 University of Illinois at Chicago, Department of Earth and Environmental Sciences, Chicago, USA (GRID:grid.185648.6) (ISNI:0000 0001 2175 0319) 
Pages
34
Publication year
2020
Publication date
Dec 2020
Publisher
Nature Publishing Group
e-ISSN
26624435
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2528862425
Copyright
© The Author(s) 2020. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.