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dc.contributor.authorMuller, Erik
dc.contributor.authorLika, Konstandia
dc.contributor.authorNisbet, Roger M
dc.contributor.authorSchultz, Irvin
dc.contributor.authorCasas, Jerome
dc.contributor.authorGergs, Andre
dc.contributor.authorMurphy, Cheryl A
dc.contributor.authorNacci, Diane
dc.contributor.authorWatanabe, Karen
dc.date.accessioned2020-01-24T13:06:04Z
dc.date.available2020-01-24T13:06:04Z
dc.date.created2019-08-29T19:06:44Z
dc.date.issued2019
dc.identifier.citationFunctional Ecology. 2019, 33 (5), 819-832.nb_NO
dc.identifier.issn0269-8463
dc.identifier.urihttp://hdl.handle.net/11250/2637850
dc.description.abstractLinking 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 bio-energetic models in the family of dynamic energy budget (DEB), which consist of a small number of state equations quantifying universal processes, such as feed-ing, maintenance, development, reproduction and growth.2. Motivated by the need for process‐based models to evaluate the impact of endo-crine disruptors on ecologically relevant endpoints, this paper develops and evalu-ates two general modelling modules describing demand‐driven feedbackmechanisms within the DEB modelling framework exerted by gonads on the allo-cation 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 feed-back 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 meas-urements of wet weight of body, ovaries and liver, egg diameter and plasma con-tent of vitellogenin and oestradiol 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 allocationof resources to reproduction by evaluating one of the modules with data on growth and seed production of an annual plant, the common bean (Phaseolisvulgaris).nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleRegulation of reproductive processes with dynamic energy budgetsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber819-832nb_NO
dc.source.volume33nb_NO
dc.source.journalFunctional Ecologynb_NO
dc.source.issue5nb_NO
dc.identifier.doi10.1111/1365-2435.13298
dc.identifier.cristin1719973
dc.description.localcodeLocked until 31.06.2020 due to copyright restrictions. This is the peer reviewed version of an article, which has been published in final form at 10.1111/1365-2435.13298. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.nb_NO
cristin.unitcode194,66,10,0
cristin.unitnameInstitutt for biologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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