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首页> 外文期刊>Wetlands Ecology and Management >Mapping changes in tidal wetland vegetation composition and pattern across a salinity gradient using high spatial resolution imagery
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Mapping changes in tidal wetland vegetation composition and pattern across a salinity gradient using high spatial resolution imagery

机译:使用高空间分辨率影像在盐度梯度上绘制潮汐湿地植被组成和格局的变化图

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Detailed vegetation mapping of wetlands, both natural and restored, can offer valuable information about vegetation diversity and community structure and provides the means for examining vegetation change over time. We mapped vegetation at six tidal marshes (two natural, four restored) in the San Francisco Estuary, CA, USA, between 2003 and 2004 using detailed vegetation field surveys and high spatial-resolution color-infrared aerial photography. Vegetation classes were determined by performing hierarchical agglomerative clustering on the field data collected from each tidal marsh. Supervised classification of the CIR photography resulted in vegetation class mapping accuracies ranging from 70 to 92%; 10 out of 12 classification accuracies were above 80%, demonstrating the potential to map emergent wetland vegetation. The number of vegetation classes decreased with salinity, and increased with size and age. In general, landscape diversity, as measured by the Shannon’s diversity index, also decreased with salinity, with an exception for the most saline site, a newly restored marsh. Vegetation change between years is evident, but the differences across sites in composition and pattern were larger than change within sites over two growing seasons.
机译:详细的湿地植被图(自然的和恢复的)可以提供有关植被多样性和群落结构的有价值的信息,并提供检查植被随时间变化的手段。我们使用详细的植被野外调查和高空间分辨率彩色红外航空摄影,绘制了2003年至2004年之间美国加利福尼亚州旧金山河口的六个潮汐沼泽(两个自然,四个恢复)的植被图。通过对从每个潮汐沼泽收集的田间数据进行分层的聚类分析,可以确定植被的类别。 CIR摄影的监督分类导致植被分类制图的准确率在70%至92%之间; 12个分类精度中的10个精度均在80%以上,这表明有可能绘制紧急湿地植被图。植被种类的数量随着盐度的增加而减少,并随着大小和年龄的增加而增加。总体而言,以香农多样性指数衡量的景观多样性也随着盐度的降低而减少,但盐碱含量最高的地点(新近恢复的沼泽)除外。年份之间的植被变化是显而易见的,但是两个地点在两个生长季节内的组成和格局之间的差异要大于地点内的变化。

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