Ecophys.Fish: A Simulation Model of Fish Growth in Time-Varying Environmental Regimes Export

@article{citeulike:2889575, abstract = {Ecophys.Fish is a quantitatively explicit interpretation of concepts originally formalized by F.E.J. Fry, almost 60 years ago. Fry's "physiological classification of environment" and his concept of "metabolic scope for activity" were coupled with conventional bioenergetics to provide the model's theoretical basis. The model's inputs are initial size of fish, and time series of temperature, pH, dissolved-oxygen concentration (DO), salinity, and food availability and its energy content. Outputs are food consumption, oxygen consumption, waste production, energy content of fish biomass, and growth. Indirectly, the output is a measure of relative fitness of the fish-environment system to support fish growth. Two variants of the model represent the euryhaline red drum (Sciaenops ocellatus) and the freshwater bluegill (Lepomis macrochirus). Ecophys.Fish had its beginnings in laboratory experiments with juvenile red drum. These experiments enabled definition of functions and their parameterization, leading to a working model that effectively simulated growth of red drum in various pond and estuary trials with caged fish. Subsequently, Ecophys.Fish was converted to simulate growth rates of caged bluegill involved in stream ecoassays. The latter work confirmed the model's generality and the utility of automated routine respirometry for empirically estimating a key model parameter. Ecophys.Fish comprises an effective tool for resolving sources of variation in fish growth, even in natural systems with high levels of environmental variability. Moreover, the model has utility for probing biological and ecological mechanisms underlying fish growth and production. Finally, Ecophys.Fish is capable of producing rich hypotheses, e.g., 1) the optimum temperature for growth decreases whenever DO, food availability, or energy density of available food is limiting; 2) with unlimited DO and food availability, the optimum temperature for growth increases with increasing fish size but only when energy density of food is limiting; and, 3) when neither availability nor energy density of food is limiting, growth can be much faster under diel-cycling regimes of temperature and DO than under the optimum constant temperature/DO regime. Under Ecophys. Fish, environmental regimes that are best for survival are not necessarily those that are best for growth.}, author = {Neill, William H. and Brandes, Scott T. and Burke, Brian J. and Craig, Steven R. and Dimichele, Leonard V. and Duchon, Kerri and Edwards, Randy E. and Fontaine, Lance P. and Delbert and Hutchins, Cynthia and Miller, John M. and Ponwith, Bonnie J. and Stahl, Christopher J. and Tomasso, Joseph R. and Vega, Robert R.}, citeulike-article-id = {2889575}, citeulike-linkout-0 = {http://proquest.umi.com.proxy2.cl.msu.edu:2047/pqdlink?Ver=1&Exp=06-11-2013&FMT=7&DID=724604861&RQT=309}, journal = {Reviews in Fisheries Science}, keywords = {fisheries, individual-based-model, stella, systems-model}, number = {4}, pages = {233+}, posted-at = {2008-06-12 16:39:52}, priority = {2}, title = {Ecophys.Fish: A Simulation Model of Fish Growth in Time-Varying Environmental Regimes}, url = {http://proquest.umi.com.proxy2.cl.msu.edu:2047/pqdlink?Ver=1&Exp=06-11-2013&FMT=7&DID=724604861&RQT=309}, volume = {12} }

TY - JOUR ID - citeulike:2889575 L3 - citeulike-article-id:2889575 N2 - Ecophys.Fish is a quantitatively explicit interpretation of concepts originally formalized by F.E.J. Fry, almost 60 years ago. Fry's "physiological classification of environment" and his concept of "metabolic scope for activity" were coupled with conventional bioenergetics to provide the model's theoretical basis. The model's inputs are initial size of fish, and time series of temperature, pH, dissolved-oxygen concentration (DO), salinity, and food availability and its energy content. Outputs are food consumption, oxygen consumption, waste production, energy content of fish biomass, and growth. Indirectly, the output is a measure of relative fitness of the fish-environment system to support fish growth. Two variants of the model represent the euryhaline red drum (Sciaenops ocellatus) and the freshwater bluegill (Lepomis macrochirus). Ecophys.Fish had its beginnings in laboratory experiments with juvenile red drum. These experiments enabled definition of functions and their parameterization, leading to a working model that effectively simulated growth of red drum in various pond and estuary trials with caged fish. Subsequently, Ecophys.Fish was converted to simulate growth rates of caged bluegill involved in stream ecoassays. The latter work confirmed the model's generality and the utility of automated routine respirometry for empirically estimating a key model parameter. Ecophys.Fish comprises an effective tool for resolving sources of variation in fish growth, even in natural systems with high levels of environmental variability. Moreover, the model has utility for probing biological and ecological mechanisms underlying fish growth and production. Finally, Ecophys.Fish is capable of producing rich hypotheses, e.g., 1) the optimum temperature for growth decreases whenever DO, food availability, or energy density of available food is limiting; 2) with unlimited DO and food availability, the optimum temperature for growth increases with increasing fish size but only when energy density of food is limiting; and, 3) when neither availability nor energy density of food is limiting, growth can be much faster under diel-cycling regimes of temperature and DO than under the optimum constant temperature/DO regime. Under Ecophys. Fish, environmental regimes that are best for survival are not necessarily those that are best for growth. IS - 4 JF - Reviews in Fisheries Science TI - Ecophys.Fish: A Simulation Model of Fish Growth in Time-Varying Environmental Regimes VL - 12 SP - 233 KW - fisheries KW - individual-based-model KW - stella KW - systems-model AU - Neill, William AU - Brandes, Scott AU - Burke, Brian AU - Craig, Steven AU - Dimichele, Leonard AU - Duchon, Kerri AU - Edwards, Randy AU - Fontaine, Lance AU - Delbert AU - Hutchins, Cynthia AU - Miller, John AU - Ponwith, Bonnie AU - Stahl, Christopher AU - Tomasso, Joseph AU - Vega, Robert UR - http://proquest.umi.com.proxy2.cl.msu.edu:2047/pqdlink?Ver=1&Exp=06-11-2013&FMT=7&DID=724604861&RQT=309 ER -