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A Model-Based Study of Phytoplankton Condition Using Remote Sensing Data for the Western Kamchatka Shelf
Russian Journal of Marine Biology ( IF 0.6 ) Pub Date : 2021-05-14 , DOI: 10.1134/s1063074021020085
S. Ya. Pak , A. I. Abakumov , M. A. Morozov

Abstract

A method for estimating the integral microalgae biomass beneath a unit surface was designed based on a mathematical model for phytoplankton vital function in the water column and subsequently tested. The model was verified based on data collected during field studies. The results of remote sensing allow extending this method to cover large territories (areas of water). The phytoplankton abundance in the waters of the western Kamchatka shelf in a cold year was compared to that in a warm year using satellite-derived data. It has been found that in the northern part of the shelf the total phytoplankton biomass in the cold year of 2016 was generally higher than that in the warm year of 2015. According to the assessments, as confirmed by data from the literature, this may be caused by the dynamics in the phytoplankton species structure.



中文翻译:

基于模型的堪察加西部陆架浮游植物条件遥感研究

摘要

基于水柱中浮游植物生命功能的数学模型,设计了一种估算单位表面下整体微藻生物量的方法,并随后进行了测试。该模型是根据在野外研究期间收集的数据进行验证的。遥感的结果使这种方法可以扩展到大范围(水域)。利用卫星得出的数据,比较了堪察加西部架子在寒冷的一年中的浮游植物丰度与温暖的一年中的浮游植物丰度。已经发现,在该架子的北部,2016年寒冷年份的浮游植物总生物量总体上高于2015年温暖年份的浮游生物量。根据评估,如文献数据所证实,这可能是由浮游植物物种结构的动力学引起的。

更新日期:2021-05-15
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