Data from: Regulation of reproductive processes with Dynamic Energy Budgets

1. Linking organismal level processes to underlying suborganismal
mechanisms at the molecular, cellular and organ level constitutes a major
challenge for predictive ecological risk assessments. This challenge can
be addressed with the simple bioenergetic models in the family of Dynamic
Energy Budget (DEB), which consist of a small number of state equations
quantifying universal processes, such as feeding, maintenance,
development, reproduction and growth. 2. Motivated by the need for
process-based models to evaluate the impact of endocrine disruptors on
ecologically relevant endpoints, this paper develops and evaluates two
general modeling modules describing demand-driven feedback mechanisms
within the DEB modeling framework exerted by gonads on the allocation of
resources to production of reproductive matter. 3. These modules describe
iteroparous, semelparous and batch-mode reproductive strategies. The
modules have a generic form with both positive and negative feedback
components; species and sex specific attributes of endocrine regulation
can be added without changing the core of the modules. 4. We demonstrate
that these modules successfully describe time-resolved measurements of wet
weight of body, ovaries and liver, egg diameter and plasma content of
vitellogenin and estradiol in rainbow trout (Oncorynchus mykiss) by
fitting these models to published and new data, which require the
estimation of less than two parameters per data type. 5. We illustrate the
general applicability of the concept of demand-driven allocation of
resources to reproduction by evaluating one of the modules with data on
growth and seed production of an annual plant, the common bean (Phaseolis
vulgaris).