A resilience sensing system for the biosphere
dc.contributor.author | Lenton, TM | |
dc.contributor.author | Buxton, JE | |
dc.contributor.author | Armstrong, DAI | |
dc.contributor.author | Abrams, JF | |
dc.contributor.author | Boulton, CA | |
dc.contributor.author | Lees, K | |
dc.contributor.author | Powell, TWR | |
dc.contributor.author | Boers, N | |
dc.contributor.author | Cunliffe, AM | |
dc.contributor.author | Dakos, V | |
dc.date.accessioned | 2022-03-21T14:26:07Z | |
dc.date.issued | 2022-06-27 | |
dc.date.updated | 2022-03-21T11:30:59Z | |
dc.description.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, utilising 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. | en_GB |
dc.description.sponsorship | Leverhulme Trust | en_GB |
dc.description.sponsorship | Turing Institute | en_GB |
dc.description.sponsorship | European Research Council (ERC) | en_GB |
dc.description.sponsorship | Volkswagen foundation | en_GB |
dc.description.sponsorship | European Union Horizon 2020 | en_GB |
dc.identifier.citation | Vol. 377 (1857), article 20210383 | en_GB |
dc.identifier.doi | 10.1098/rstb.2021.0383 | |
dc.identifier.grantnumber | RPG-2018-046 | en_GB |
dc.identifier.grantnumber | 743080 | en_GB |
dc.identifier.grantnumber | 820970 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/129110 | |
dc.identifier | ORCID: 0000-0002-6725-7498 (Lenton, Timothy) | |
dc.language.iso | en | en_GB |
dc.publisher | Royal Society | en_GB |
dc.rights | © 2022 The Author(s) Published by the Royal Society. This version is made available under the CC-BY 4.0 license: https://creativecommons.org/licenses/by/4.0/ | en_GB |
dc.subject | resilience | en_GB |
dc.subject | recovery rate | en_GB |
dc.subject | biosphere | en_GB |
dc.subject | ecosystems | en_GB |
dc.subject | remote sensing | en_GB |
dc.subject | climate change | en_GB |
dc.title | A resilience sensing system for the biosphere | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-03-21T14:26:07Z | |
dc.identifier.issn | 1471-2970 | |
dc.description | This is the author accepted manuscript. The final version is available from the Royal Society via the DOI in this record | en_GB |
dc.identifier.journal | Philosophical Transactions of the Royal Society B: Biological Sciences | en_GB |
dc.relation.ispartof | Philosophical Transactions of the Royal Society B: Biological Sciences | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-02-28 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2022-02-28 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-03-21T11:31:03Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-07-25T09:45:50Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2022 The Author(s) Published by the Royal Society. This version is made available under the CC-BY 4.0 license: https://creativecommons.org/licenses/by/4.0/