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首页> 外文期刊>Journal of great lakes research >Spatial-temporal variability of in situ cyanobacteria vertical structure in Western Lake Erie: Implications for remote sensing observations
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Spatial-temporal variability of in situ cyanobacteria vertical structure in Western Lake Erie: Implications for remote sensing observations

机译:伊利湖西部原位蓝细菌垂直结构的时空变化:遥感观测的意义。

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Remote sensing has provided expanded temporal and spatial range to the study of harmful algal blooms (cyanoHABs) in western Lake Erie, allowing for a greater understanding of bloom dynamics than is possible through in situ sampling. However, satellites are limited in their ability to specifically target cyanobacteria and can only observe the water within the first optical depth. This limits the ability of remote sensing to make conclusions about full water column cyanoHAB biomass if cyanobacteria are vertically stratified. FluoroProbe data were collected at nine stations across western Lake Erie in 2015 and 2016 and analyzed to characterize spatiotemporal variability in cyanobacteria vertical structure. Cyanobacteria were generally homogenously distributed during the growing season except under certain conditions. As water depth increased and high surface layer concentrations were observed, cyanobacteria were found to be more vertically stratified and the assumption of homogeneity was less supported. Cyanobacteria vertical distribution was related to wind speed and wave height, with increased stratification at low wind speeds (4.9 m/s) and wave heights (027 m). Once wind speed and wave height exceeded these thresholds the assumption of vertically uniform cyanobacteria populations was justified. These findings suggest that remote sensing can provide adequate estimates of water column cyanoHAB biomass in most conditions; however, the incorporation of bathymetry and environmental conditions could lead to improved biomass estimates. Additionally, cyanobacteria contributions to total chlorophyll-a were shown to change throughout the season and across depth, suggesting the need for remote sensing algorithms to specifically identify cyanobacteria. (C) 2019 The Authors. Published by Elsevier B.V. on behalf of International Association for Great Lakes Research.
机译:遥感技术为伊利湖西部的有害藻华(cyanoHABs)研究提供了更大的时空范围,与现场采样相比,可以更好地了解藻华动态。但是,卫星在针对蓝细菌的能力方面受到限制,只能观察第一光学深度内的水。如果蓝细菌垂直分层,则这将限制遥感技术得出有关全水柱氰基HAB生物量的结论的能力。在2015年和2016年从伊利湖西部的9个站点收集了FluoroProbe数据,并进行了分析,以表征蓝细菌垂直结构的时空变化。除某些条件外,蓝细菌通常在生长期均匀分布。随着水深的增加和表层浓度的升高,发现蓝细菌在垂直方向上更加分层,并且均质性的假设得到了较少的支持。蓝藻的垂直分布与风速和波高有关,在低风速(<4.9 m / s)和波高(<027 m)时分层增加。一旦风速和波高超过这些阈值,就可以假设垂直均匀的蓝细菌种群是合理的。这些发现表明,在大多数情况下,遥感可以提供水柱氰基HAB生物量的充分估计;然而,将测深法和环境条件结合起来可以改善生物量的估算。此外,蓝藻对总叶绿素-a的贡献在整个季节和整个深度上都在变化,这表明需要使用遥感算法来专门鉴定蓝藻。 (C)2019作者。由Elsevier B.V.代表国际大湖研究协会出版。

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