Chapter 5 Digestion

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5.1 Overview

Digestion converts consumed prey mass into usable energy while transferring associated contaminants such as inorganic mercury and methylmercury from stomach contents into internal body burden pools. Within P-MEM, digestion is modeled as a metabolically mediated process, where digestive throughput is proportional to the agent’s current metabolic rate and reflects established links between physiological state, energetic demand, and digestive processing in fishes, including gut evacuation and energy assimilation (Volkoff and Rønnestad 2020; Fu et al. 2009). As stomach contents are broken down, a fraction of biomass is converted into energy while biomass-associated contaminants are internalized, linking feeding, energetic gain, and contaminant uptake within a unified framework. When stomach contents are depleted, agents transition into foraging mode and begin drawing on lipid reserves.

5.2 Purpose

To simulate how migratory fish process ingested prey into energy and contaminants while linking digestive performance to metabolic rate, foraging behavior, and exposure risk. Digestion provides the energetic foundation required for movement, migration, and physiological processes while directly influencing contaminant accumulation.

5.3 Entities, State Variables, and Scales

5.3.1 Spatial and Temporal Scales

Spatial Unit: Patch (3 m x 3 m resolution)
Temporal Unit: 5 minute time steps (tick)

5.3.2 Global Variables

Global Variable Definition
none required Digestion uses internal agent state + metabolism-rate from metabolism submodel.

5.3.3 Patch Variables

Variable Name Definition
None required Digestion is an internal physiological process and does not depend on patch attributes.

5.3.4 Agent Variables

Variable Name Definition
stomach-contents Total mass of prey currently held in the stomach.
stomach-contents-Hg Inorganic mercury contained within the stomach contents.
stomach-contents-MeHg Methylmercury contained within the stomach contents.
digestion-rate Rate of digestion equal to the current metabolic rate.
digestion-efficiency Fraction of digested mass converted into usable energy.
energy Total energetic reserves available to the agent.
gained-energy Energy gained during the current tick from digestion.
mehg-foraging Methylmercury released from stomach contents and absorbed during digestion.
hg-foraging Inorganic mercury released from stomach contents during digestion.
mehg-foraging-total Cumulative methylmercury risk through feeding.
hg-foraging-total Cumulative inorganic mercury risk via digestion.
mehg-total Total body burden of methylmercury risk.
hg-total Total body burden of inorganic mercury risk.
foraging Boolean indicating whether the agent is actively searching for prey.
lipid-loss Boolean indicating when lipid reserves are used due to lack of stomach content.

5.4 Process Overview and Scheduling

  1. Set digestion rate equal to the current metabolic rate ((energy units) tick⁻¹).

  2. Calculate the mass digested during the current tick (g).

  3. Compute the corresponding amounts of inorganic and methylmercury digested (ng).

  4. Remove digested biomass and associated contaminants from stomach contents (g; ng).

  5. Convert a fraction of digested biomass into usable energy ((energy units) tick⁻¹).

  6. Add mercury and methylmercury to cumulative body burden pools (ng).

  7. When stomach contents reach zero, set foraging to true and begin lipid use.

5.5 Design Concepts

Basic Principles: Digestion is modeled as a metabolic rate dependent process, where higher metabolic demand results in greater digestive throughput (Brown et al. 2004). Dietary MeHg uptake was represented as proportional to assimilated (digested) prey mass, consistent with mercury mass balance formulations that model uptake from food via an assimilation term (Trudel and Rasmussen 2006)

Emergence: Patterns of energy gain and contaminant uptake emerge from interactions among foraging success, metabolism, digestion efficiency, and prey availability.

Adaptation: Agents respond to depleted stomach contents by transitioning into foraging mode and initiating lipid catabolism when necessary.

Objectives: Agents allocate available energy across movement, maintenance, and physiological processes to maximize reproductive success along the migration pathway while minimizing the risk of energetic depletion.

Sensing: Agents sense their own energetic state through stomach contents and energy levels.

Stochasticity: Stochasticity arises indirectly from variation in prey encounters or foraging success, although digestion itself is deterministic.

Collectives: Digestion occurs independently for each agent and does not require group level dynamics.

Observation: Outputs of interest include digested mass per tick, gained energy, contaminant uptake, and cumulative contaminant burdens.

5.6 Initialization

Variable Initialized Value Justification
stomach-contents 0 Agents begin without prey unless defined by scenario.
stomach-contents-Hg 0 No initial inorganic mercury from digestion.
stomach-contents-MeHg 0 No initial methylmercury from digestion.
digestion-efficiency Species specific Determines fraction of biomass converted to energy.
foraging true Agents begin in search mode when stomach is empty.

5.7 Submodels

5.7.1 Digestion Rate and Breakdown

Digestive throughput is driven by metabolic rate:

\[ R_{digest} = Met_{tick} \hspace{2cm} \text{(5.1)} \]

Where:

  • \(R_{digest}\) is the digestion rate of an individual agent (g tick⁻¹).

  • \(Met_{base}\) is the baseline metabolic rate used as the reference for all energetic scaling ((energy units) tick⁻¹).

Digested mass per tick:

\[ M_{digested} = M_{stomach} \cdot R_{digest} \cdot Eff_{digest} \hspace{2cm} \text{(5.2)} \]

Where:

  • \(M_{digested}\) is the biomass digested during the current tick (g).

  • \(M_{stomach}\) is the biomass currently stored in the stomach (g).

  • \(R_{digest}\) is the digestion rate of an individual agent (g tick⁻¹).

  • \(Eff_{digest}\) is the efficiency factor controlling digestion and filtration (%).

Proportional mercury assimilation:

\[ MeHg_{digested} = \left( \frac{M_{digested}}{M_{stomach}} \right) \cdot MeHg_{stomach} \hspace{2cm} \text{(5.3)} \]

Where:

  • \(MeHg_{digested}\) is the methylmercury assimilated during digestion (ng).

  • \(M_{digested}\) is the biomass digested during the current tick (g).

  • \(M_{stomach}\) is the biomass currently stored in the stomach (g).

  • \(MeHg_{stomach}\) is the methylmercury currently stored in the stomach (ng).

Updated stomach contents:

\[ M_{stomach} = M_{stomach} - M_{digested} \hspace{2cm} \text{(5.4)} \]

Where:

  • \(M_{digested}\) is the biomass digested during the current tick (g).

  • \(M_{stomach}\) is the biomass currently stored in the stomach (g).

5.7.2 Energy Conversion

Energy gained from digestion:

\[ E_{gain} = M_{digested} \cdot 100 \hspace{2cm} \text{(5.5)} \] Where:

  • \(E_{gain}\) is the energy gained from digested biomass (energy units).

  • \(M_{digested}\) is the biomass digested during the current tick (g).

Updated energy pool:

\[ E_{agent} = E_{agent} + E_{gain} \hspace{2cm} \text{(5.6)} \]

Where:

  • \(E_{agent}\) is the total internal energy available to the agent (energy units).

  • \(E_{gain}\) is the energy gained from digested biomass (energy units).

5.7.3 Contaminant Assimilation

Contaminants absorbed during digestion:

\[ MeHg_{forage} = MeHg_{forage} + MeHg_{digested} \hspace{2cm} \text{(5.7)} \] Where:

  • \(MeHg_{forage}\) is the cumulative methylmercury uptake via feeding (ng).

  • \(MeHg_{digested}\) is the methylmercury assimilated during digestion (ng).

Accumulated body burden:

\[ MeHg_{total} = MeHg_{total} + MeHg_{digested} \hspace{2cm} \text{(5.8)} \]

Where:

  • \(MeHg_{total}\) is the cumulative methylmercury body burden (ng).

  • \(MeHg_{digested}\) is the methylmercury assimilated during digestion (ng).

5.7.4 Transition to Foraging

When stomach contents reach zero:

  • lipid-loss is activated

This switches the prey to burn fat energy reserves instead of relying on stomach contents. This transition represents a shift from exogenous to endogenous energy use, consistent with anadromous fishes such as river herring, which reduce or cease feeding during spawning migration and rely on stored lipid reserves to support metabolic demands and movement (Araújo et al. 2013; Zenga 2020).

5.8 Netlogo Implementation

References

Araújo, Mário Jorge, Rodrigo O. A. Ozório, and Carlos Antunes. 2013. “Energetic Aspects of Spawning Migrations and Their Implications for the Management of Southern European Diadromous Fish Populations.” Limnetica 32 (2): 303–20. https://doi.org/10.23818/limn.32.24.
Brown, James H., James F. Gillooly, Andrew P. Allen, Van M. Savage, and Geoffrey B. West. 2004. TOWARD a METABOLIC THEORY OF ECOLOGY.” Ecology 85 (7): 1771–89. https://doi.org/10.1890/03-9000.
Fu, Shi-Jian, Ling-Qing Zeng, Xiu-Ming Li, et al. 2009. “The Behavioural, Digestive and Metabolic Characteristics of Fishes with Different Foraging Strategies.” Journal of Experimental Biology 212 (14): 2296–302. https://doi.org/10.1242/jeb.027102.
Trudel, Marc, and Joseph B Rasmussen. 2006. “Bioenergetics and Mercury Dynamics in Fish: A Modelling Perspective.” Canadian Journal of Fisheries and Aquatic Sciences 63 (8): 1890–902. https://doi.org/10.1139/f06-081.
Volkoff, Helene, and Ivar Rønnestad. 2020. “Effects of Temperature on Feeding and Digestive Processes in Fish.” Temperature 7 (4): 307–20. https://doi.org/10.1080/23328940.2020.1765950.
Zenga, Anthony. 2020. “Assessing Lipid Content in Migrating Alewife.” Honors thesis, University of Maine. https://digitalcommons.library.umaine.edu/honors/616.