Empirical and dynamic approaches for modelling the yield and N content of European grasslands

M Dellar, CFE Topp, Guillermo Pardo, Agustin del Prado, Nuala Fitton, David Holmes, G Banos, E Wall

Research output: Contribution to journalArticle

Abstract

We applied two approaches to model grassland yield and nitrogen (N) content. The first was a series of regression equations; the second was the Century dynamic model. The regression model was generated from data from eighty-nine experimental sites across Europe, distinguishing between five climatic regions. The Century model was applied to six sites across these regions. Both approaches estimated mean grassland yields and N content reasonably well, though the root mean squared error tended to be lower for the dynamic model. The regression model achieved better correlations between observed and predicted values. Both models were more sensitive to uncertainties in weather than in soil properties, with precipitation often accounting for the majority of model uncertainty. The regression approach is applicable over large spatial scales but lacks precision, making it suitable for considering general trends. Century is better applied at a local level where more detailed and specific analysis is required.
Original languageEnglish
Article number104562
JournalEnvironmental Modelling and Software
Volume122
Early online date14 Oct 2019
DOIs
Publication statusFirst published - 14 Oct 2019

Fingerprint

grassland
modeling
Dynamic models
climatic region
Nitrogen
Soils
soil property
weather
nitrogen
Uncertainty

Keywords

  • Grasslands
  • Yield
  • Nitrogen
  • Modelling

Cite this

Dellar, M ; Topp, CFE ; Pardo, Guillermo ; del Prado, Agustin ; Fitton, Nuala ; Holmes, David ; Banos, G ; Wall, E. / Empirical and dynamic approaches for modelling the yield and N content of European grasslands. In: Environmental Modelling and Software. 2019 ; Vol. 122.
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Empirical and dynamic approaches for modelling the yield and N content of European grasslands. / Dellar, M; Topp, CFE; Pardo, Guillermo; del Prado, Agustin; Fitton, Nuala; Holmes, David; Banos, G; Wall, E.

In: Environmental Modelling and Software, Vol. 122, 104562, 01.12.2019.

Research output: Contribution to journalArticle

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T1 - Empirical and dynamic approaches for modelling the yield and N content of European grasslands

AU - Dellar, M

AU - Topp, CFE

AU - Pardo, Guillermo

AU - del Prado, Agustin

AU - Fitton, Nuala

AU - Holmes, David

AU - Banos, G

AU - Wall, E

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AB - We applied two approaches to model grassland yield and nitrogen (N) content. The first was a series of regression equations; the second was the Century dynamic model. The regression model was generated from data from eighty-nine experimental sites across Europe, distinguishing between five climatic regions. The Century model was applied to six sites across these regions. Both approaches estimated mean grassland yields and N content reasonably well, though the root mean squared error tended to be lower for the dynamic model. The regression model achieved better correlations between observed and predicted values. Both models were more sensitive to uncertainties in weather than in soil properties, with precipitation often accounting for the majority of model uncertainty. The regression approach is applicable over large spatial scales but lacks precision, making it suitable for considering general trends. Century is better applied at a local level where more detailed and specific analysis is required.

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