Ecosystem modelling provides clues to understanding ecological tipping points

dc.contributor.authorPlagányi, Éva E
dc.contributor.authorEllis, Nick
dc.contributor.authorBlamey, Laura K
dc.contributor.authorMorello, Elisabetta B
dc.contributor.authorNorman-Lopez, Anna
dc.contributor.authorRobinson, William M L
dc.contributor.authorSporic, Miriana
dc.contributor.authorSweatman, Hugh
dc.date.accessioned2016-03-14T11:20:07Z
dc.date.available2016-03-14T11:20:07Z
dc.date.issued2014
dc.date.updated2016-03-14T11:13:25Z
dc.description.abstractEcological thresholds, associated with abrupt changes in the state and organisation of ecosystems, challenge both scientists and managers. Adaptive response to such changes, and planning for their occurrence, requires an understanding of the underlying drivers and system responses as well as appropriate monitoring. In addition to field studies, modelling can advance our ability to anticipate or deal with such major ecosystem shifts. Here, we used an existing multispecies model with smooth continuous functions that were modified to include thresholds representing 3 alternative scenarios of predator responses when prey numbers drop below a critical threshold: (I) no threshold-like response; (II) an abrupt decrease in breeding success by 90%, and (III) an abrupt halving of adult survival. Second, we analysed field observations from 3 independent marine case studies (abalone, starfish, penguins) for evidence of abrupt non-linear responses of predators to changes in abundance of principal prey. Third, we compared the model output with empirical results and tested (using both a statistical method and by fitting multispecies models) the 3 alternative response scenarios. With this approach, we found evidence for nonlinear changes in population parameters (such as survival rate) of predators as prey numbers declined below critical thresholds. As an example of the potential for this approach to inform management, we found that abundances of a range of marine predators become more variable as prey numbers decline, which may be a useful indicator that a system is approaching a tipping point.en_ZA
dc.identifierhttp://dx.doi.org/10.3354/meps10909
dc.identifier.apacitationPlagányi, É. E., Ellis, N., Blamey, L. K., Morello, E. B., Norman-Lopez, A., Robinson, W. M. L., ... Sweatman, H. (2014). Ecosystem modelling provides clues to understanding ecological tipping points. <i>Marine Ecology Progress Series</i>, http://hdl.handle.net/11427/17765en_ZA
dc.identifier.chicagocitationPlagányi, Éva E, Nick Ellis, Laura K Blamey, Elisabetta B Morello, Anna Norman-Lopez, William M L Robinson, Miriana Sporic, and Hugh Sweatman "Ecosystem modelling provides clues to understanding ecological tipping points." <i>Marine Ecology Progress Series</i> (2014) http://hdl.handle.net/11427/17765en_ZA
dc.identifier.citationPlagányi, É. E., Ellis, N., Blamey, L. K., Morello, E. B., Norman-Lopez, A., Robinson, W., ... & Sweatman, H. (2014). Ecosystem modelling provides clues to understanding ecological tipping points. Marine Ecology Progress Series, 512, 99-113en_ZA
dc.identifier.issn0171-8630en_ZA
dc.identifier.ris TY - Journal Article AU - Plagányi, Éva E AU - Ellis, Nick AU - Blamey, Laura K AU - Morello, Elisabetta B AU - Norman-Lopez, Anna AU - Robinson, William M L AU - Sporic, Miriana AU - Sweatman, Hugh AB - Ecological thresholds, associated with abrupt changes in the state and organisation of ecosystems, challenge both scientists and managers. Adaptive response to such changes, and planning for their occurrence, requires an understanding of the underlying drivers and system responses as well as appropriate monitoring. In addition to field studies, modelling can advance our ability to anticipate or deal with such major ecosystem shifts. Here, we used an existing multispecies model with smooth continuous functions that were modified to include thresholds representing 3 alternative scenarios of predator responses when prey numbers drop below a critical threshold: (I) no threshold-like response; (II) an abrupt decrease in breeding success by 90%, and (III) an abrupt halving of adult survival. Second, we analysed field observations from 3 independent marine case studies (abalone, starfish, penguins) for evidence of abrupt non-linear responses of predators to changes in abundance of principal prey. Third, we compared the model output with empirical results and tested (using both a statistical method and by fitting multispecies models) the 3 alternative response scenarios. With this approach, we found evidence for nonlinear changes in population parameters (such as survival rate) of predators as prey numbers declined below critical thresholds. As an example of the potential for this approach to inform management, we found that abundances of a range of marine predators become more variable as prey numbers decline, which may be a useful indicator that a system is approaching a tipping point. DA - 2014 DB - OpenUCT DP - University of Cape Town J1 - Marine Ecology Progress Series LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 SM - 0171-8630 T1 - Ecosystem modelling provides clues to understanding ecological tipping points TI - Ecosystem modelling provides clues to understanding ecological tipping points UR - http://hdl.handle.net/11427/17765 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17765
dc.identifier.urihttp://www.int-res.com/abstracts/meps/v512/p99-113/
dc.identifier.vancouvercitationPlagányi ÉE, Ellis N, Blamey LK, Morello EB, Norman-Lopez A, Robinson WML, et al. Ecosystem modelling provides clues to understanding ecological tipping points. Marine Ecology Progress Series. 2014; http://hdl.handle.net/11427/17765.en_ZA
dc.languageengen_ZA
dc.publisherInter Researchen_ZA
dc.publisher.departmentMarine Resource Assessment and Management Groupen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.relation.ispartofseriesMarine Ecology Progress Seriesen_ZA
dc.sourceMarine Ecology Progress Seriesen_ZA
dc.source.urihttp://www.int-res.com/journals/meps/meps-home/
dc.subject.otherAbrupt change
dc.subject.otherEcological thresholds
dc.subject.otherAdaptive management
dc.subject.otherTrophodynamics
dc.subject.otherIntermediate complexity model
dc.subject.otherNon-linear responses
dc.titleEcosystem modelling provides clues to understanding ecological tipping pointsen_ZA
dc.typeJournal Articleen_ZA
uct.subject.keywordsAbrupt change; Ecological thresholds; Adaptive management; Trophodynamics; Intermediate complexity model; Non-linear responsesen_ZA
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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