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Period doubling as an indicator for ecosystem sensitivity to climate extremes
The predictions for a warmer and drier climate and for increased likelihood of climate extremes raise high concerns about the possible collapse of dryland ecosystems, and about the formation of new drylands where native species are less tolerant to water stress. Using a dryland-vegetation model for...
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Published in: | Scientific reports 2019-12, Vol.9 (1), p.19577-10, Article 19577 |
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description | The predictions for a warmer and drier climate and for increased likelihood of climate extremes raise high concerns about the possible collapse of dryland ecosystems, and about the formation of new drylands where native species are less tolerant to water stress. Using a dryland-vegetation model for plant species that display different tradeoffs between fast growth and tolerance to droughts, we find that ecosystems subjected to strong seasonal variability, typical for drylands, exhibit a temporal period-doubling route to chaos that results in early collapse to bare soil. We further find that fast-growing plants go through period doubling sooner and span wider chaotic ranges than stress-tolerant plants. We propose the detection of period-doubling signatures in power spectra as early indicators of ecosystem collapse that outperform existing indicators in their ability to warn against climate extremes and capture the heightened vulnerability of newly-formed drylands. The proposed indicator is expected to apply to other types of ecosystems, such as consumer–resource and predator–prey systems. We conclude by delineating the conditions ecosystems should meet in order for the proposed indicator to apply. |
doi_str_mv | 10.1038/s41598-019-56080-z |
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subjects | 631/158/2165 639/766/530/2795 639/766/530/2803 704/158/1144 Arid zones Drought Ecosystems Humanities and Social Sciences Indigenous species multidisciplinary Plant species Prey Science Science (multidisciplinary) Seasonal variations Water stress |
title | Period doubling as an indicator for ecosystem sensitivity to climate extremes |
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