...
首页> 外文期刊>Journal of Experimental Marine Biology and Ecology >Pelagic habitat characterization of loggerhead sea turtles, Caretta caretta, in the North Pacific Ocean (1997-2006): Insights from satellite tag tracking and remotely sensed data
【24h】

Pelagic habitat characterization of loggerhead sea turtles, Caretta caretta, in the North Pacific Ocean (1997-2006): Insights from satellite tag tracking and remotely sensed data

机译:北太平洋海龟(Caretta caretta)的浮游动物栖息地特征(1997-2006年):来自卫星标签跟踪和遥感数据的见解

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

We analyzed satellite track data for 186 loggerhead sea turtles in the North Pacific Ocean using remotely sensed environmental data to characterize pelagic habitat. A large number of candidate habitat variables were merged to the satellite track data and statistically compared to background values over a large spatiotemporal grid which bounded overall occupancy. Five statistically significant variables were identified out of the 16 environmental variables examined. Two of these variables have strong seasonal, interannual, and spatial patterns (sea surface temperature and chlorophyll a concentration), while three others were primarily spatial (earth magnetic force, earth magnetic declination, and earth magnetic inclination). Habitat selectivity for these variables was quantified using preference curve methodology established in the foraging literature. The output from the selectivity curves was used to predict a multivariate loggerhead sea turtle habitat index across the pelagic North Pacific. This predicted habitat was ground-truthed with newly available satellite track data.
机译:我们使用遥感环境数据分析了北太平洋的186只海龟的卫星航迹数据,以表征远洋生境。大量候选栖息地变量被合并到卫星轨道数据中,并在一个较大的时空网格上与背景值进行统计比较,从而限制了总体占用率。在所检查的16个环境变量中,确定了5个具有统计学意义的变量。这些变量中的两个具有强烈的季节性,年际和空间模式(海表温度和叶绿素a浓度),而其他三个变量主要是空间(地球磁力,地球磁偏角和地球磁倾角)。使用觅食文献中建立的偏好曲线方法对这些变量的栖息地选择性进行了定量。选择性曲线的输出用于预测整个中上层北太平洋的多头海龟栖息地指数。这个预测的栖息地与新近获得的卫星航迹数据相吻合。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号