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Application Of Landscape Ecology To Spatialvariance Of Water-quality Parametersrnalong The Florida Keys Reef Tract

机译:景观生态学在佛罗里达礁石带水质参数空间变异中的应用

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Since large-scale spatial differences in temperature and salinity influence the global distribution of coral reefs, it seems reasonable to assume that local differences may also influence community assemblage rules. Yet, we do not understand the spatial and temporal scales at which many water quality parameters vary. This study examined the spatial variance of ten water quality parameters along the Florida Keys reef tract using landscape ecology techniques, coupled with Geographic Information System (GIS) technologies. Temperature, salinity, chlorophyll a, and dissolved inorganic nitrogen (DIN) were spatially predictable at the scale of the sampling design (km). Near-substrate temperatures were homogeneous at patches ≤ 1.075 km, while surface temperatures were homogenous at patches ≤ 0.893 km. DIN patches were more homogeneous near the substrate (≤ 2.873 km) than at the surface (0.151 km), with surface chlorophyll a homogeneous at ≤ 0.592 km. In contrast, salinity at the surface was more homogeneous (≤ 1.662 km) than near the substrate (≤ 0.234 km). Other nutrient parameters, including ammonium (NH_4), nitrate (NO_3), total nitrogen (TN) and total organic nitrogen (TON), and turbidity were not predictable at the spatial scale at which the parameters were sampled, and therefore did not capture the inherent scale at which these parameters varied. Differences between surface and near-substrate temperatures increased significantly as depth increased, suggesting that satellite-derived sea surface temperatures may be overestimating temperatures at which corals bleach.
机译:由于温度和盐度的大规模空间差异会影响珊瑚礁的全球分布,因此合理地假设局部差异也可能会影响群落聚集规则。然而,我们不了解许多水质参数变化的时空尺度。这项研究使用景观生态学技术与地理信息系统(GIS)技术相结合,研究了佛罗里达礁礁沿线的十个水质参数的空间差异。温度,盐度,叶绿素a和溶解的无机氮(DIN)在采样设计规模(km)上在空间上是可预测的。在≤1.075 km的斑块处,近基板温度是均匀的,而在≤0.893 km的斑块处,表面温度是均匀的。 DIN贴剂在底物附近(≤2.873 km)比表面(0.151 km)更均匀,表面叶绿素在≤0.592 km均匀。相反,表面的盐度(≤1.662 km)比基质附近的盐度(≤0.234 km)更均匀。其他营养参数,包括铵(NH_4),硝酸盐(NO_3),总氮(TN)和总有机氮(TON)以及浊度在采样参数的空间尺度上是不可预测的,因此无法捕获这些参数变化的固有尺度。随着深度的增加,地表温度与近地表温度之间的差异显着增加,这表明源自卫星的海面温度可能高估了珊瑚褪色的温度。

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