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首页> 外文期刊>Deep-Sea Research >Primary producer and seabird associations with AVHRR-derived sea surface temperatures and gradients in the southeastern Gulf of Alaska
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Primary producer and seabird associations with AVHRR-derived sea surface temperatures and gradients in the southeastern Gulf of Alaska

机译:阿拉斯加东南部海湾地区与AVHRR衍生的海面温度和梯度相关的主要生产者和海鸟协会

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摘要

Identification and characterization of critical habitat is an important component of marine conservation. In this study, we compare relative sea-surface temperature (SST) and gradients in SST as derived from advanced very high-resolution radiometry (AVHRR) with primary producer biomass, indexed by remotely sensed Chlorophyll a concentrations (from the sea-viewing wide field-of-view sensor [SeaWiFS]), and seabird observations collected during replicate surveys along Line P in the southeastern Gulf of Alaska. Because of cloudiness, we used monthly composites for both Sea-WiFS and AVHRR. Seabird data were collected three times per year ('seasons') starting in 1996, and summarized in 4 x 4 km grids. We divided our analyses into two regions based on oceanography; the outer 'oceanic' region and the 'coastal' region. We calculated SST anomalies as residuals from mean SST calculated per region, season, and year. We calculated maximum SST gradients between AVHRR data pixels (both 4 x 4 km and 9 x 9 km resolution) and defined areas of 'steep' SST gradients. Within each region we found that primary producer biomass varied with SST gradients, but not as expected (i.e. we expected sharp increases in chlorophyll a with steeper SST gradients). There was, however, strong evidence of seabird associations with SST and SST gradients, especially in the coastal region where almost all species were associated with fronts. In the oceanic region, 62% of the species were associated with steep SST gradients. This study demonstrates the importance of mesoscale oceanographic structures on seabird distributions in the southeastern Gulf of Alaska, and illuminates how these relationships can be characterized using remote-sensing of habitats at large spatial scales.
机译:关键生境的识别和表征是海洋保护的重要组成部分。在这项研究中,我们比较了由先进的超高分辨率辐射测定法(AVHRR)与初级生产者生物质所得出的相对海面温度(SST)和SST中的梯度,这些生物量由遥感的叶绿素a浓度(从大视野海域看)视距传感器[SeaWiFS]),以及在阿拉斯加东南部东南沿P线进行的重复调查中收集的海鸟观测结果。由于云量很大,我们对Sea-WiFS和AVHRR都使用了月度复合数据。从1996年开始,每年收集3次海鸟数据(“季节”),并以4 x 4 km的网格进行汇总。根据海洋学,我们将分析分为两个区域:外部的“海洋”区域和“沿海”区域。我们将SST异常计算为每个区域,季节和年份的平均SST残差。我们计算了AVHRR数据像素(分辨率为4 x 4 km和9 x 9 km)与“陡峭” SST梯度定义区域之间的最大SST梯度。在每个区域内,我们发现初级生产者的生物量随SST梯度而变化,但不如预期的那样变化(即,我们预期随着SST梯度的增加叶绿素a会急剧增加)。但是,有强有力的证据表明海鸟与海表温度和海表温度梯度相关,尤其是在沿海地区,那里几乎所有物种都与锋面有关。在海洋区域,有62%的物种与陡峭的SST梯度有关。这项研究证明了中尺度海洋学结构对阿拉斯加东南部海湾海鸟分布的重要性,并阐明了如何利用大空间尺度上的栖息地遥感来表征这些关系。

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