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  A resilience sensing system for the biosphere

Lenton, T. M., Buxton, J. E., Armstrong McKay, D. I., Abrams, J. F., Boulton, C. A., Lees, K., Powell, T. W. R., Boers, N., Cunliffe, A. M., Dakos, V. (2022): A resilience sensing system for the biosphere. - Philosophical Transactions of the Royal Society B - Biological Sciences, 377, 1857, 20210383.
https://doi.org/10.1098/rstb.2021.0383

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 Creators:
Lenton, Timothy M.1, Author
Buxton, Joshua E.1, Author
Armstrong McKay, David I.1, Author
Abrams, Jesse F.1, Author
Boulton, Chris A.1, Author
Lees, Kirsten1, Author
Powell, Thomas W. R.1, Author
Boers, Niklas2, Author              
Cunliffe, Andrew M.1, Author
Dakos, Vasilis1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We are in a climate and ecological emergency, where climate change and direct anthropogenic interference with the biosphere are risking abrupt and/or irreversible changes that threaten our life-support systems. Efforts are underway to increase the resilience of some ecosystems that are under threat, yet collective awareness and action are modest at best. Here, we highlight the potential for a biosphere resilience sensing system to make it easier to see where things are going wrong, and to see whether deliberate efforts to make things better are working. We focus on global resilience sensing of the terrestrial biosphere at high spatial and temporal resolution through satellite remote sensing, utilizing the generic mathematical behaviour of complex systems—loss of resilience corresponds to slower recovery from perturbations, gain of resilience equates to faster recovery. We consider what subset of biosphere resilience remote sensing can monitor, critically reviewing existing studies. Then we present illustrative, global results for vegetation resilience and trends in resilience over the last 20 years, from both satellite data and model simulations. We close by discussing how resilience sensing nested across global, biome-ecoregion, and local ecosystem scales could aid management and governance at these different scales, and identify priorities for further work.

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Language(s): eng - English
 Dates: 2022-06-272022-08-15
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1098/rstb.2021.0383
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
 Degree: -

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Title: Philosophical Transactions of the Royal Society B - Biological Sciences
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 377 (1857) Sequence Number: 20210383 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals384
Publisher: The Royal Society