This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1111/gcb.16115. This is version 3 of this Preprint.
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Abstract
Forest and savanna ecosystems naturally exist as alternative stable states. The maximum capacity of these ecosystems to absorb perturbations without transitioning to the other alternative stable state is referred to as ‘resilience’. Previous studies have determined the resilience of terrestrial ecosystems to hydroclimatic changes predominantly based on space-for-time substitution. This substitution assumes that the contemporary spatial frequency distribution of ecosystems’ tree cover structure holds across time. However, this assumption is problematic since ecosystem adaptation over time is ignored. Here we empirically study tropical forests’ stability and hydroclimatic adaptation dynamics by examining remotely sensed tree cover change (ΔTC; aboveground ecosystem structural change) and root zone storage capacity (Sr; buffer capacity towards water-stress) over the last two decades. We find that ecosystems at high (>75%) and low (<10%) tree cover adapt by instigating considerable subsoil investment, and therefore experience limited ΔTC ‒ signifying stability. In contrast, unstable ecosystems at intermediate (30-60%) tree cover are unable to exploit the same level of adaptation as stable ecosystems, thus showing considerable ΔTC. Ignoring this adaptive mechanism can underestimate the resilience of the forest ecosystems, which we find is largely underestimated in the case of the Congo rainforests. The results from this study emphasise the importance of the ecosystem's temporal dynamics and adaptation in inferring and assessing the risk of forest-savannah transitions under rapid hydroclimatic change.
DOI
https://doi.org/10.31223/X5Q32Q
Subjects
Earth Sciences, Ecology and Evolutionary Biology, Forest Biology, Hydrology, Remote Sensing
Keywords
remote sensing, resilience, alternative stable states, rainforests, root zone storage capacity
Dates
Published: 2021-09-17 17:06
Last Updated: 2022-02-04 01:23
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License
CC BY Attribution 4.0 International
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Conflict of interest statement:
The authors declare no competing interests.
Data Availability (Reason not available):
Data availability statement is mentioned in the document
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