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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Quantifying Australia's dryland vegetation response to flooding and drought at sub-continental scale
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Quantifying Australia's dryland vegetation response to flooding and drought at sub-continental scale

机译:量化澳大利亚的旱地植被应对船舶大陆等级的洪水和干旱

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Vegetation response to flooding across large dryland areas such as Australia's Murray Darling Basin (MDB) is not understood synoptically and with locally relevant detail. We filled this knowledge gap by quantifying vegetation dynamics, defined here as greening and browning due to changing chlorophyll content and leaf area index, in response to flooding and rainfall across the floodplains of the entire MDB. We quantified vegetation and flooding dynamics using the same data source, namely 26 years of high resolution, wall-to-wall satellite data, in a top down statistical modeling approach, where we controlled for rainfall. Our time series (1986-2011) covered a period of extreme hydroclimatic variability, including the South East Australian Millennium Drought, thus providing a research opportunity to investigate how the relationship between vegetation and flooding changed during wet and dry periods. Our results showed that besides rainfall, flooding plays a key role in driving floodplain vegetation dynamics, yet the role of flooding varied across the MDB floodplains. We quantified a change in the relationship of how vegetation responds to rainfall and flooding with an unprecedented level of spatial detail. The change in the relationships coincided primarily with the onset of the Millennium Drought, yet local and regional differences in the timing of the change did occur, suggesting that the beginning of the Millennium Drought did not impact all floodplain areas at the same time. Our synoptic while locally relevant quantification of the changing response of vegetation to rainfall and flooding is a first step to help underpin Australia's investment into environmental water allocations.
机译:澳大利亚默里达令盆地(MDB)等大型旱地地区洪水洪水的植被响应不理解,并具有本地相关细节。我们通过量化植被动态来填充这种知识差距,该植被动态是由于叶绿素含量和叶面积指数的变化而定义为绿化和褐变,以应对整个MDB的洪泛泛滥的洪水平均水平。我们使用相同的数据源量化植被和洪水动态,即26年的高分辨率,墙面卫星数据,以顶部统计建模方法,我们控制降雨。我们的时间序列(1986-2011)涵盖了一段极端的潮流性变异性,包括东南澳大利亚千年干旱,从而提供了研究机会,以调查植被和洪水之间的关系如何在潮湿和干燥时期发生变化。我们的研究结果表明,除了降雨外,洪水在驾驶洪泛区植被动态方面发挥着关键作用,但洪水的作用在MDB泛滥平坦中变化。我们量化了植被如何应对降雨和洪水的关系的变化,以前所未有的空间细节。这种关系的变化主要与千年干旱的发作相一致,但发生了变化的时机时期的千年干旱,但区域差异,这表明千年干旱的开始并没有同时影响所有洪泛区。我们的舞台虽然本地相关量化植被降雨和洪水的变化响应是一个有助于支撑澳大利亚投资环境水分的第一步。

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