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. 2021 Sep;27(18):4367-4380.
doi: 10.1111/gcb.15729. Epub 2021 Jun 22.

Annual precipitation explains variability in dryland vegetation greenness globally but not locally

Anna M Ukkola  1   2 , Martin G De Kauwe  1 , Michael L Roderick  2 , Arden Burrell  3 , Peter Lehmann  4 , Andy J Pitman  1
Affiliations

Annual precipitation explains variability in dryland vegetation greenness globally but not locally

Anna M Ukkola et al. Glob Chang Biol. 2021 Sep.

Abstract

Dryland vegetation productivity is strongly modulated by water availability. As precipitation patterns and variability are altered by climate change, there is a pressing need to better understand vegetation responses to precipitation variability in these ecologically fragile regions. Here we present a global analysis of dryland sensitivity to annual precipitation variations using long-term records of normalized difference vegetation index (NDVI). We show that while precipitation explains 66% of spatial gradients in NDVI across dryland regions, precipitation only accounts for <26% of temporal NDVI variability over most (>75%) dryland regions. We observed this weaker temporal relative to spatial relationship between NDVI and precipitation across all global drylands. We confirmed this result using three alternative water availability metrics that account for water loss to evaporation, and growing season and precipitation timing. This suggests that predicting vegetation responses to future rainfall using space-for-time substitution will strongly overestimate precipitation control on interannual variability in aboveground growth. We explore multiple mechanisms to explain the discrepancy between spatial and temporal responses and find contributions from multiple factors including local-scale vegetation characteristics, climate and soil properties. Earth system models (ESMs) from the latest Coupled Model Intercomparison Project overestimate the observed vegetation sensitivity to precipitation variability up to threefold, particularly during dry years. Given projections of increasing meteorological drought, ESMs are likely to overestimate the impacts of future drought on dryland vegetation with observations suggesting that dryland vegetation is more resistant to annual precipitation variations than ESMs project.

Keywords: Earth system models; climate change; drylands; precipitation; space-for-time substitution; vegetation.

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