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首页> 外文会议>ISPRS Congress >RESPONSE OF RIPARIAN VEGETATION IN AUSTRALIA'S LARGEST RIVER BASIN TO INTER AND INTRA-ANNUAL CLIMATE VARIABILITY AND FLOODING AS QUANTIFIED WITH LANDSAT AND MODIS
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RESPONSE OF RIPARIAN VEGETATION IN AUSTRALIA'S LARGEST RIVER BASIN TO INTER AND INTRA-ANNUAL CLIMATE VARIABILITY AND FLOODING AS QUANTIFIED WITH LANDSAT AND MODIS

机译：澳大利亚最大的河流流域河流植被对米兰和MODIS量化的跨境气候变异性和洪水的反应

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Australia is a continent subject to high rainfall variability, which has major influences on runoff and vegetation dynamics. However, the resulting spatial-temporal pattern of flooding and its influence on riparian vegetation has not been quantified in a spatially explicit way. Here we focused on the floodplains of the entire Murray-Darling Basin (MDB), an area that covers over 1M km~2, as a case study. The MDB is the country's primary agricultural area with scarce water resources subject to competing demands and impacted by climate change and more recently by the Millennium Drought (1999-2009). Riparian vegetation in the MDB floodplain suffered extensive decline providing a dramatic degradation of riparian vegetation. We quantified the spatial-temporal impact of rainfall, temperature and flooding patters on vegetation dynamics at the sub-continental to local scales and across inter to intra-annual time scales based on three decades of Landsat (25k images), Bureau of Meteorology data and one decade of MODIS data. Vegetation response varied in space and time and with vegetation types, densities and location relative to areas frequently flooded. Vegetation degradation trends were observed over riparian forests and woodlands in areas where flooding regimes have changed to less frequent and smaller inundation extents. Conversely, herbaceous vegetation phenology followed primarily a 'boom' and 'bust' cycle, related to inter-annual rainfall variability. Spatial patters of vegetation degradation changed along the N-S rainfall gradient but flooding regimes and vegetation degradation patterns also varied at finer scale, highlighting the importance of a spatially explicit, internally consistent analysis and setting the stage for investigating further cross-scale relationships. Results are of interest for land and water management decisions. The approach developed here can be applied to other areas globally such as the Nile river basin and Okavango River delta in Africa or the Mekong River Basin in Southeast Asia.
机译：澳大利亚是一个大陆受到高降雨量的变化，这对径流和植被变化的主要影响。然而，洪水所产生的时空格局及其对河岸植被的影响尚未在空间直观的方式量化。下面我们针对整个墨累 - 达令河流域的洪泛区（MDB），区域覆盖超过100万公里〜2时，作为个案研究。该MDB是稀缺的水资源受到竞争需求国的主要农业区和千年干旱（1999-2009）受气候变化影响和最近的。在MDB滩区河岸植被遭到严重衰退提供河岸植被的戏剧性下降。我们量化降雨，温度和洪水对植被动态patters的时空影响次大陆到地方尺度和跨间基于三个十年陆地卫星的（25K图像），气象数据的局内和年度时间尺度MODIS数据的一个十年。植被响应在空间和时间，并与植被类型，密度和相对频繁淹没区的位置变化。观察在那里充斥制度已经改变那么频繁和更小的程度淹没的地区河岸森林和林地植被退化趋势。相反，草本植被物候，主要遵循了“繁荣”和“萧条”周期，与年际降雨量变化。植被退化空间patters而变化的N-S降雨梯度却使制度和植被退化模式也较精细的规模变化，突出空间明确，内部一致分析的重要性，并设置阶段为进一步研究跨尺度的关系。结果是土地和水管理决策的兴趣。这里开发的方法可以应用到其他领域全球如尼罗河流域和奥卡万戈三角洲是非洲和湄公河流域东南亚。

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