A new approach to determining environmental flow requirements: Sustaining the natural values of floodplains of the southern Murray-Darling Basin

Peake, Paul; Fitzsimons, James; Frood, Doug; Mitchell, Mel; Withers, Naomi; White, Matt; Webster, Rick

doi:10.1111/j.1442-8903.2011.00581.x

Cited by 18 publications

(17 citation statements)

References 13 publications

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“…This difference highlights the power and uniqueness of using multiple assessment indicators. A decline in tree crown condition and regeneration of tree species has been observed within the forest in other studies (Kingsford, 2000;Peake et al, 2011).…”

Section: Discussionmentioning

confidence: 90%

“…The monitoring potential of remotely sensed data (Anderson et al, 2012) can complement information provided by assessments of flooding requirements of plant species (Bacon et al, 1993;Dexter and Poynter, 2005;Fitzsimons et al, 2011;Peake et al, 2011). This suite of information can provide a more meaningful evaluation of the impacts of changing water availability within riparian systems and evaluate management practices.…”

Section: Discussionmentioning

confidence: 99%

“…This type of information will contribute to a greater understanding of water requirements within riparian systems. The extensive spatial coverage of remotely sensed data allow riparian vegetation to be assessed across the landscape, a key consideration in the connectivity of riparian systems which is important to both species diversity and ecosystem function (Lindenmayer et al, 2008;Peake et al, 2011).…”

Section: Overviewmentioning

confidence: 99%

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Riparian Vegetation Status and Rates of Water Use From Satellite Data

Sheffield

Abuzar

Whitfield³

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Hydrology and water availability are key determinants of the health of riparian vegetation systems, and an understanding of the interactions between vegetation and hydrology is a prerequisite for the maintenance and improvement of these systems under managed water regimes. Changes to natural flooding cycles, caused by the regulation of river flows and irrigation activities, have changed the composition and amount of vegetation, and the distribution of species within riparian areas (Chong and Ladson, 2003;Lawrence and Colloff, 2008). The extent and frequency of flooding cycles are key issues for the health of riparian ecosystems under controlled water management regimes. This paper demonstrates the potential contribution of satellite-based measurements to an improved understanding of the changes in vegetation status of riparian systems, and, also, of their water requirement. Evapotranspiration (ET) and Normalised Difference Vegetation Index (NDVI) of the Barmah Forest were derived from satellite imagery over a number of years. NDVI provided a general measure of vegetation status and cover. ET measures provided an indication of the availability of water to the existing vegetation, and an assessment of areas under water-stress (Anderson et al., 2012). Previous work has demonstrated that these indicators provide a comprehensive measure of riparian vegetation status , and estimates of vegetation water requirement (Whitfield et al., 2010a;Sheffield et al., 2011). This paper addresses changes in NDVI and ET rate of major vegetation classes in the Barmah Forest over the period, 1993 -2008. Measures of ET and NDVI, analysed in conjunction with rainfall and river flow data, provided insights into the response of vegetation to changes in water availability, which may be used to evaluate impacts of management practices and water regime within riparian zones.

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Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

See 1 more Smart Citation

Riparian Vegetation Status and Rates of Water Use From Satellite Data

Sheffield

Abuzar

Whitfield³

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…To maintain floodplain function, widths must encapsulate the connection to floodplain components (Opperman et al 2010) and could be derived from conservative floodplain mapping (e.g. 1 in 30-year flood level: Peake et al 2011).…”

Section: Where Was the Evidence La Cking?mentioning

confidence: 99%