dc.creatorSandi, Steven G.
dc.creatorSaco, Patricia M.
dc.creatorSaintilan, Neil
dc.creatorWen, Li
dc.creatorRiccardi, Gerardo A.
dc.creatorWillgoose, Garry
dc.creatorRodriguez, Jose F.
dc.date2020-02-26T14:58:48Z
dc.date2020-02-26T14:58:48Z
dc.date2019-04-19
dc.date2020-02-26T14:58:48Z
dc.date2020-02-26T14:58:48Z
dc.date2019-04-19
dc.date.accessioned2022-10-14T19:56:30Z
dc.date.available2022-10-14T19:56:30Z
dc.identifier0309-1708
dc.identifierhttp://hdl.handle.net/2133/17666
dc.identifierhttp://hdl.handle.net/2133/17666
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4291698
dc.descriptionDryland wetlands receive periodical floods that are of key importance for ecological resilience. The inundation regime (i.e., frequency, duration, depth, and timing of inundation), is one of the major factors that determine the suitability of local conditions for specific wetland species. During droughts, inundation conditions can reach a threshold after which wetland vegetation transitions to dryland vegetation. This study analyses the response of vegetation to hydrologic variability in an arid wetland in Australia over a period of 20 years (including the Millennium drought) in order to identify inundation thresholds for transitions. We use numerical modelling, field and remote sensing information to relate continuous detailed simulations of the inundation regime with the response of patches of Common reed, Water couch and River red gum, three key vegetation associations in the study site. We focus in patches that were affected by the drought and presented dryland vegetation invasion as well as reference patches that remained healthy throughout the drought. On each patch, we compare annual and inter-annual simulated inundation regimes to the minimum inundation conditions that can support the specific vegetation of the patch and we compute the percentage area of the patch that verifies minimum inundation for each year (minimum inundation index). This index is analysed in conjunction with Landsat derived information on green vegetation coverage (green Seasonal Fractional Cover) for the selected patches. We found that the minimum inundation index and inter annual frequency are able to describe the vegetation dynamics of the patches, which can be characterised by two distinct response modes that depend on a threshold value of the minimum inundation index. Inundation below the threshold noticeably leads to degraded vegetation, but the vegetation can recover quickly if this threshold is later maintained for one or two years. Values below the threshold for more extended periods (drought) result in a gradual decrease of wetland vegetation to almost complete disappearance after four years and subsequent dryland vegetation invasion.
dc.descriptionFil: School of Engineering, The University of Newcastle, Callaghan 2308, Australia
dc.descriptionFil: Department of Environmental Sciences, Macquarie University, North Ryde 2109, Australia
dc.descriptionFil: Riccardi, Gerardo A. Department of Hydraulics and Research Council of National University of Rosario (CIUNR), Rosario 2000, Argentina.
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier
dc.relationhttps://www.sciencedirect.com/science/article/pii/S0309170818309102
dc.rightsopenAccess
dc.subjectDryland wetlands
dc.subjectInundation modelling
dc.subjectSeasonal fractional cover
dc.subjectMinimum inundation requirements
dc.subjectRiver red gum
dc.subjectTerrestrial vegetation invasion
dc.subjectMacquiarie Marshes
dc.titleDetecting inundation thresholds for dryland wetland vulnerability
dc.typearticle
dc.typeartículo
dc.typepublishedVersion


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