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dc.contributor.authorWuyts, B
dc.contributor.authorSieber, J
dc.date.accessioned2023-10-31T11:52:34Z
dc.date.issued2023-10-30
dc.date.updated2023-10-31T10:44:03Z
dc.description.abstractPrevious work indicates that tropical forest can exist as an alternative stable state to savanna. Therefore, perturbation by climate change or human impact may lead to crossing of a tipping point beyond which there is rapid forest dieback that is not easily reversed. A hypothesized mechanism for such bistability is feedback between fire and vegetation, where fire spreads as a contagion process on grass patches. Theoretical models have largely implemented this mechanism implicitly, by assuming a threshold dependence of fire spread on flammable vegetation. Here, we show how the nonlinear dynamics and bistability emerge spontaneously, without assuming equations or thresholds for fire spread. We find that the forest geometry causes the nonlinearity that induces bistability. We demonstrate this in three steps. First, we model forest and fire as interacting contagion processes on grass patches, showing that spatial structure emerges due to two counteracting effects on the forest perimeter: forest expansion by dispersal and forest erosion by fires originating in adjacent grassland. Then, we derive a landscape-scale balance equation in which these two effects link forest geometry and dynamics: Forest expands proportionally to its perimeter, while it shrinks proportionally to its perimeter weighted by adjacent grassland area. Finally, we show that these perimeter quantities introduce nonlinearity in our balance equation and lead to bistability. Relying on the link between structure and dynamics, we propose a forest resilience indicator that could be used for targeted conservation or restoration.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.identifier.citationVol. 120 (45), article 2211853120en_GB
dc.identifier.doihttps://doi.org/10.1073/pnas.2211853120
dc.identifier.grantnumberEP/N023544/1en_GB
dc.identifier.grantnumberEP/V04687X/1en_GB
dc.identifier.grantnumber820970en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134365
dc.identifierORCID: 0000-0002-9558-1324 (Sieber, Jan)
dc.language.isoenen_GB
dc.publisherNational Academy of Sciencesen_GB
dc.relation.urlhttps://github.com/b-wuyts/fgbaen_GB
dc.rights© 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).en_GB
dc.titleEmergent structure and dynamics of tropical forest-grassland landscapesen_GB
dc.typeArticleen_GB
dc.date.available2023-10-31T11:52:34Z
dc.identifier.issn0027-8424
dc.descriptionThis is the final version. Available on open access from the National Academy of Sciences via the DOI in this recorden_GB
dc.descriptionData, Materials, and Software Availability: Algorithm data have been deposited in Github (https://github.com/b-wuyts/fgba) (51).en_GB
dc.identifier.eissn1091-6490
dc.identifier.journalProceedings of the National Academy of Sciencesen_GB
dc.relation.ispartofProceedings of the National Academy of Sciences, 120(45)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-10-06
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-10-30
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-10-31T11:50:18Z
refterms.versionFCDVoR
refterms.dateFOA2023-10-31T11:52:41Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-10-30


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© 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
Except where otherwise noted, this item's licence is described as © 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).