PS 53-196 - Sensitivity of global terrestrial ecosystems to climate variability

Friday, August 12, 2016
ESA Exhibit Hall, Ft Lauderdale Convention Center
Alistair Seddon1, Marc Macias-Fauria2, Peter Long3, David Benz3 and Katherine J. Willis4, (1)Department of Biology, University of Bergen, Bergen, Norway, (2)School of Geography and the Environment, University of Oxford, Oxford, United Kingdom, (3)Department of Zoology, University of Oxford, Oxford, United Kingdom, (4)Biodiversity Institute, Department of Zoology, University of Oxford, Oxford, United Kingdom
Background/Question/Methods

Identification of properties that contribute to the persistence and resilience of ecosystems despite climate change constitutes a research priority of global significance. Here, we present a novel, empirical approach to assess the relative sensitivity of ecosystems to climate variability, one property of resilience that builds on theoretical modelling work recognising that systems closer to critical thresholds respond more sensitively to external perturbations. We develop a new metric, the Vegetation Sensitivity Index (VSI) which identifies areas sensitive to climate variability over the past 14 years. The metric uses time-series data of MODIS derived Enhanced Vegetation Index (EVI) and three climatic variables that drive vegetation productivity (air temperature, water availability and cloudiness). Underlying the analysis is an autoregressive modelling approach used to identify regions with memory effects and reduced response rates to external forcing.

Results/Conclusions

We find ecologically sensitive regions with amplified responses to climate variability in the arctic tundra, parts of the boreal forest belt, the tropical rainforest, alpine regions worldwide, steppe and prairie regions of central Asia and North and South America, the Caatinga deciduous forest in eastern South America, and eastern areas of Australia. Our study provides a quantitative methodology for assessing the relative response rate of ecosystems – be they natural or with a strong anthropogenic signature – to environmental variability, which is the first step to address why some regions appear to be more sensitive than others and what impact this has upon the resilience of ecosystem service provision and human wellbeing.