Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 363583
Title A framework to identify appropriate spatial and temporal scales for modeling N flows from watersheds
Author(s) Dumont, E.L.; Bakker, E.J.; Bouwman, L.; Kroeze, C.; Leemans, R.; Stein, A.
Source Ecological Modelling 212 (2008)3-4. - ISSN 0304-3800 - p. 256 - 272.
DOI https://doi.org/10.1016/j.ecolmodel.2007.10.006
Department(s) Environmental Systems Analysis Group
Biometris (WU MAT)
Earth System Science
WIMEK
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) seine river - quality - time - uncertainty - sensitivity - landscapes - dimensions - management - fluxes - space
Abstract We describe a framework (FAMOS) to identify the appropriate spatial and temporal scales for nitrogen (N) flow models. FAMOS has been developed for models of N export from large watersheds. With FAMOS, modelers can identify the appropriate scale for model predictions and for independently scalable model parts. FAMOS is based upon four criteria to check the appropriateness of modeling scales. Modeling scales thus have to correspond with (A) data and scenarios, (B) model assumptions, (C) available resources for modeling, and (D) appropriately scaled predictions. We present 12 indicators to test these criteria. A user of FAMOS may use all or a selection of these, to identify the appropriateness of a modeling scale for his purpose. The indicators vary between 0 and 1 as a function of scale, and are to be quantified and weighted by the user. A successful application of FAMOS is illustrated for a global model of dissolved inorganic nitrogen (DIN) export from watersheds to coastal waters. Ranges of appropriate scales are determined for model predictions and five independently scalable model parts, which model the (1) surface N balance, (2) point sources, (3) N flow in sediments and small streams, (4) retention in dammed reservoirs, and (5) riverine DIN retention. We conclude that FAMOS can contribute substantially to a well-balanced and comprehensive identification of appropriate modeling scales.
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