Modelling the role of highly unsaturated fatty acids in planktonic food web processes: a mechanistic approach

被引:0
|
作者
Perhar, Gurbir [1 ]
Arhonditsis, George B. [1 ]
Brett, Michael T. [2 ]
机构
[1] Univ Toronto, Ecol Modelling Lab, Scarborough, ON M1C 1A4, Canada
[2] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
来源
ENVIRONMENTAL REVIEWS | 2012年 / 20卷 / 03期
基金
加拿大自然科学与工程研究理事会;
关键词
polyunsaturated fatty acids; zooplankton; growth limitation; eutrophication; plant-animal interface; mechanistic modelling; LAKE WASHINGTON; EUTROPHICATION MODEL; PRIMARY PRODUCERS; TROPHIC TRANSFER; LINOLENIC ACID; WAX ESTERS; PHYTOPLANKTON; ZOOPLANKTON; DAPHNIA; WATER;
D O I
10.1139/A2012-007
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Highly unsaturated fatty acids (HUFAs) are a subgroup of fatty acids characterized by chains of 20 or more carbon atoms with multiple double bonds, which potentially limit the growth of zooplankton. Zooplankton require high HUFA concentrations during periods of rapid growth, but co-limitation with nutrients is also likely to occur. Recent modelling results suggest food webs with high quality (nutritional and biochemical) primary producers can attain inverted biomass distributions with efficient energy transfer between trophic levels. In this study, our objective is to highlight the recent advances in studying the role of HUFAs in aquatic food webs. We take a first-principles approach to investigate the chemical nature of HUFAs, and the role they play in zooplankton ecology. To this end, we introduce a novel zooplankton growth sub model that tracks the interplay between nitrogen, phosphorus, and HUFAs in plankton population models. Our aim is to produce a sub model that incorporates the knowledge gained from decades of biochemical research into management-oriented predictive tools.
引用
收藏
页码:155 / 172
页数:18
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