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dc.contributor.authorMolinari, Bianca
dc.contributor.authorStewart-Koster, Ben
dc.contributor.authorMalthus, Tim J
dc.contributor.authorBunn, Stuart E
dc.date.accessioned2021-10-05T04:18:26Z
dc.date.available2021-10-05T04:18:26Z
dc.date.issued2021
dc.identifier.issn2072-4292
dc.identifier.doi10.3390/rs13091710
dc.identifier.urihttp://hdl.handle.net/10072/408552
dc.description.abstractStudies of tropical floodplains have shown that algae are the primary source material for higher consumers in freshwater aquatic habitats. Thus, methods that can predict the spatial variation of algal productivity provide an important input to better inform management and conservation of floodplains. In this study, a prediction of the spatial variability in algal productivity was made for the Mitchell River floodplain in northern Australia. The spatial variation of aquatic habitat types and turbidity were estimated using satellite remote sensing and then combined with statistical modelling to map the spatial variation in algal primary productivity. Open water and submerged plants habitats, covering 79% of the freshwater flooded floodplain extent, had higher rates of algal production compared to the 21% cover of emergent and floating aquatic plant habitats. Across the floodplain, the predicted average algal productivity was 150.9 ± 95.47 SD mg C m−2 d−1 and the total daily algal production was estimated to be 85.02 ± 0.07 SD ton C. This study provides a spatially explicit representation of habitat types, turbidity, and algal productivity on a tropical floodplain and presents an approach to map ‘hotspots’ of algal production and provide key insights into the functioning of complex floodplain–river ecosystems. As this approach uses satellite remotely sensed data, it can be applied in different floodplains worldwide to identify areas of high ecological value that may be sensitive to development and be used by decision makers and river managers to protect these important ecological assets.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherMDPI
dc.relation.ispartofpagefrom1710
dc.relation.ispartofissue9
dc.relation.ispartofjournalRemote Sensing
dc.relation.ispartofvolume13
dc.subject.fieldofresearchClassical physics
dc.subject.fieldofresearchPhysical geography and environmental geoscience
dc.subject.fieldofresearchGeomatic engineering
dc.subject.fieldofresearchAtmospheric sciences
dc.subject.fieldofresearchcode5103
dc.subject.fieldofresearchcode3709
dc.subject.fieldofresearchcode4013
dc.subject.fieldofresearchcode3701
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsEnvironmental Sciences
dc.titleAssessing Spatial Variation in Algal Productivity in a Tropical River Floodplain Using Satellite Remote Sensing
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMolinari, B; Stewart-Koster, B; Malthus, TJ; Bunn, SE, Assessing Spatial Variation in Algal Productivity in a Tropical River Floodplain Using Satellite Remote Sensing, Remote Sensing, 2021, 13 (9), pp. 1710
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-09-30T23:53:30Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorBunn, Stuart E.
gro.griffith.authorStewart-Koster, Ben D.


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