Dissolved oxygen, temperature and salinity effects on the ecophysiology and survival of juvenile Atlantic sturgeon in estuarine waters: II. Model development and testing

被引:25
|
作者
Niklitschek, Edwin J. [1 ]
Secor, David H. [2 ]
机构
[1] Univ Austral Chile, Ctr Trapananda, Coyhaique, Region Of Aysen, Chile
[2] Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, Solomons, MD 20688 USA
基金
美国国家科学基金会;
关键词
Atlantic sturgeon; Bioenergetics; Estuaries; Hypoxia; Salinity; Temperature; BIOENERGETICS MODEL; WHITE STURGEON; CHESAPEAKE BAY; FISH GROWTH; ACIPENSER-TRANSMONTANUS; OREOCHROMIS-MOSSAMBICUS; CONSUMPTION RATES; METABOLIC-RATE; STRIPED BASS; HUDSON RIVER;
D O I
10.1016/j.jembe.2009.07.019
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Hypoxia-temperature interactions can have major effects upon fish physiology and energetics. In estuarine species, such effects can be also modified by natural salinity gradients leading to a three-way habitat contraction under extreme conditions. In this paper we use Fry's paradigm to propose an explanatory framework and to expand traditional mass balance bioenergetic models, incorporating dissolved oxygen and salinity effects. Water temperature was modeled as the controlling factor that establishes maximum potential rates and minimum oxygen demand; dissolved oxygen was considered to constrain physiological responses whenever oxygen demands exceed oxygen delivery rates; salinity was incorporated as a masking (loading) factor, demanding both energy and oxygen for osmoregulation processes. This general framework was expressed as a set of algorithms, with a total of 30 parameters, which were estimated using results from a large set of laboratory experiments conducted on young-of-the-year and yearling Atlantic sturgeons, as well as from other published studies. Compared to an empirical quadratic fit of these laboratory data, the model was more informative (lower AIC), suggesting that measured responses followed theoretical expectations. The model was tested in mesocosm trials, where strong correlations were observed between predicted and observed monthly and seasonal growth rates but modest to poor correlations were observed for predicted daily instantaneous growth rate. Sensitivity tests showed that uncertainty in activity cost and food consumption ratio parameters contributed most to model error. (C) 2009 Elsevier B.V. All rights reserved.
引用
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页码:S161 / S172
页数:12
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