A generalized model for estimating the energy density of invertebrates

James, Daniel; Csargo, Isak J.; Eschen, Aaron Von; Thul, Megan D.; Baker, James M.; Hayer, Cari‐Ann; Howell, Jessica; Krause, Jacob R.; Letvin, Alex; Chipps, Steven R.

doi:10.1899/11-057.1

Cited by 37 publications

(36 citation statements)

References 27 publications

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“…), despite spatial and temporal variation in estimates (James et al. ). For example, the energy density of Brook Trout eggs in our study (9,937 J/g wet weight) differed from published estimates (6,243 J/g wet weight; Cummins and Wuycheck ) by nearly 3,700 J/g, and seasonal zooplankton caloric content varied by almost 1,000 J/g (3,314–4,301 J/g wet weight; Table ).…”

Section: Discussionmentioning

confidence: 99%

Modeling Brook Trout Carrying Capacity in Owhi Lake, Washington, Using Bioenergetics

Taylor

Cross

Moore

2019

N American J Fish Manag

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The management of fish populations often requires an understanding of how density‐dependent effects influence population dynamics. In systems where natural populations are supplemented with stocking, the question of “how much food is available” becomes increasingly important. One typical approach for assessing density‐dependent interactions is to identify disparities between fish consumption rates and food availability. The objective of our study was to determine whether seasonal lake prey production could support Brook Trout Salvelinus fontinalis consumption demand in Owhi Lake, Washington, at observed abundances. Brook Trout were collected seasonally from 2015 to 2017 to obtain information on length, weight, age, diet, growth, and mortality. Population abundance was estimated in summer by using hydroacoustic surveys. Littoral invertebrates and pelagic zooplankton were collected concurrently with fish to enumerate biomass and production. Bioenergetics modeling was used to estimate prey consumption by Brook Trout. In conjunction with supply–demand comparisons, we used growth efficiencies and maximum consumption rates to further identify potential seasonal and annual food limitations. Our results suggest that prey production could support Brook Trout consumption demand for all years, but littoral invertebrate consumption was close to or exceeded prey production in summer and fall 2017. Growth efficiency was lowest and maximum consumption rates were highest in summer 2017 relative to all other seasons and years. In addition to observed diet switching from littoral invertebrates to zooplankton in summer 2016 and 2017, we concluded that lower growth efficiencies, lower annual survival rates, and increased consumption rates were influenced by littoral invertebrate production. The Owhi Lake Brook Trout stocking program may require adaptive management (i.e., annual evaluations) to balance natural recruitment.

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Section: Discussionmentioning

confidence: 99%

Modeling Brook Trout Carrying Capacity in Owhi Lake, Washington, Using Bioenergetics

Taylor

Cross

Moore

2019

N American J Fish Manag

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“…Using hourly consumption estimates from the foraging model (Equation ), total daily consumption ( C ), can be derived as,

C = {false\sum}_{i = 1}^{24} C_{i} \cdot w_{i} \cdot D_{i}

where w i and D i represent average weight (g wet weight) and energy density (J/g) of prey i respectively. Energy density values of 2,310, 2,922, or 3,368 J/g of wet weight were used for zooplankton, Chironomidae and Ephemeroptera larvae respectively (James et al., ). Energy density of pallid sturgeon was kept constant throughout the growth period and set to 3,000 J/g (Deslauriers et al., ).…”

Section: Methodsmentioning

confidence: 99%

Growth potential and habitat requirements of endangered age‐0 pallid sturgeon (Scaphirhynchus albus) in the Missouri River, USA, determined using a individual‐based model framework

Deslauriers

Heironimus²,

Rapp³

et al. 2017

Ecology of Freshwater Fish

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An individual-based model framework was used to evaluate growth potential of the federally endangered pallid sturgeon (Scaphirhynchus albus) in the Missouri River. The model, developed for age-0 sturgeon, combines information on functional feeding response, bioenergetics and swimming ability to regulate consumption and growth within a virtual foraging arena. Empirical data on water temperature, water velocity and prey density were obtained from three sites in the Missouri River and used as inputs in the model to evaluate hypotheses concerning factors affecting pallid sturgeon growth. The model was also used to evaluate the impacts of environmental heterogeneity and water velocity on individual growth variability, foraging success and dispersal ability. Growth was simulated for a period of 100 days using 100 individuals (first feeding; 19 mm and 0.035 g) per scenario. Higher growth was shown to occur at sites where high densities of Ephemeroptera and Chironomidae larvae occurred throughout the growing season. Highly heterogeneous habitats (i.e., wide range of environmental conditions) and moderate water velocities (0.3 m/s) were also found to positively affect growth rates. The model developed here provides an important management and conservation tool for evaluating growth hypotheses and(or) identifying habitats in the Missouri River that are favourable to age-0 pallid sturgeon growth. K E Y W O R D Sbioenergetics, early-life history, foraging ecology, individual-based model, shallow-water habitat

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“…Values in parentheses represent standard deviations. used as an index of proportional dry weight (DW) to determine the energy density of chironomids (ED ch , J/g wet weight) using the equation developed by James et al (2012) ED ch = −174.2 + 22960 × DW (1)…”

Section: Feeding and Growthmentioning

confidence: 99%

Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus)

Deslauriers

Heironimus

Chipps

2016

Ecological Modelling

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A generalized model for estimating the energy density of invertebrates

Cited by 37 publications

References 27 publications

Modeling Brook Trout Carrying Capacity in Owhi Lake, Washington, Using Bioenergetics

Modeling Brook Trout Carrying Capacity in Owhi Lake, Washington, Using Bioenergetics

Growth potential and habitat requirements of endangered age‐0 pallid sturgeon (Scaphirhynchus albus) in the Missouri River, USA, determined using a individual‐based model framework

Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (Scaphirhynchus albus)

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