How Much Complexity Is Required for Modelling Grassland Production at Regional Scales? Article Swipe
Iris Vogeler
,
Christof Kluß
,
T. Peters
,
F. Taube
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/land12020327
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/land12020327
Studies evaluating the complexity of models, which are suitable to simulate grass growth at regional scales in intensive grassland production systems are scarce. Therefore, two different grass growth models (GrasProg1.0 and APSIM) with different complexity and input requirements were compared against long-term observations from variety trials with perennial ryegrass (Lolium perenne) in Germany and Denmark. The trial sites covered a large range of environmental conditions, with annual average temperatures ranging from 5.9 to 10.3 °C, and annual rainfall from 536 to 1154 mm. The sites also varied regarding soil type, which were for modelling categorised into three different groups according to their plant available water (PAW) content: light soils with a PAW of 60 mm, medium soils with a PAW of 80 mm, and heavy soils with a PAW of 100 mm. The objective was to investigate whether the simple model performed equally well with the given low number of inputs, namely climate and PAW group. Evaluation statistics showed that both models provided satisfactory results, with root mean square errors for individual cuts ranging from 0.59 to 1.28 t dry matter ha−1. The model efficiency (Nash–Sutcliffe efficiency) for the separate cuts were also good for both models, with 81% of the sites having a positive Nash–Sutcliffe efficiency value with GrasProg1.0, and 72% with APSIM. These results reveal that without detailed site-specific descriptions, the less complex GrasProg1.0 model can be incorporated into a simple decision support tool for optimising grassland management in intensive livestock production systems.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/land12020327
- https://www.mdpi.com/2073-445X/12/2/327/pdf?version=1676020338
- OA Status
- gold
- Cited By
- 3
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318053696
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318053696Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/land12020327Digital Object Identifier
- Title
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How Much Complexity Is Required for Modelling Grassland Production at Regional Scales?Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
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2023-01-25Full publication date if available
- Authors
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Iris Vogeler, Christof Kluß, T. Peters, F. TaubeList of authors in order
- Landing page
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https://doi.org/10.3390/land12020327Publisher landing page
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https://www.mdpi.com/2073-445X/12/2/327/pdf?version=1676020338Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2073-445X/12/2/327/pdf?version=1676020338Direct OA link when available
- Concepts
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Lolium perenne, Grassland, Environmental science, Soil water, Perennial plant, Soil science, Agronomy, Mathematics, Agricultural engineering, Hydrology (agriculture), Biology, Geotechnical engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
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55Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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