<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Adressing optimality principles in DGVMs: Dynamics of Carbon&#13;
allocation changes</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">S.</mods:namePart><mods:namePart type="family">Pietsch</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>DGVMs are designed to reproduce and quantify ecosystem processes. Based on plant functions or species&#13;
specific parameter sets, the energy, carbon, nitrogen and water cycles of different ecosystems are assessed. These&#13;
models have been proven to be important tools to investigate ecosystem fluxes as they are derived by plant, site&#13;
and environmental factors. The general model approach assumes steady state conditions and constant model&#13;
parameters. Both assumptions, however, are wrong, since:&#13;
(i) No given ecosystem ever is at steady state!&#13;
(ii) Ecosystems have the capability to adapt to changes in growth conditions, e.g. via changes in allocation&#13;
patterns!&#13;
This presentation will give examples how these general failures within current DGVMs may be addressed.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">2017-04-28</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mods:mods>