Modeling European ruminant production systems: facing the challenges of climate change

RP Kipling, A Bannick, G Bellocchi, T Dalgaard, NJ Fox, NJ Hutchings, C Kjeldsen, N Lacetera, F Sinabell, CFE Topp, M van Oijen, Perttu Virkajärvi, ND Scollan

Research output: Contribution to journalArticle

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Abstract

Ruminant production systems are important producers of food, support rural communities and culture, and help to maintain a range of ecosystem services including the sequestering of carbon in grassland soils. However, these systems also contribute significantly to climate change through greenhouse gas (GHG) emissions, while intensification of production has driven biodiversity and nutrient loss, and soil degradation. Modeling can offer insights into the complexity underlying the relationships between climate change, management and policy choices, food production, and the maintenance of ecosystem services. This paper 1) provides an overview of how ruminant systemsmodeling supports the efforts of stakeholders and policymakers to predict, mitigate and adapt to climate change and 2) provides ideas for enhancing modeling to fulfil this role. Many grassland models can predict plant growth, yield and GHG emissions from mono-specific swards, but modeling multi-species swards, grassland quality and the impact of management changes requires further development. Current livestock models provide a good basis for predicting animal production; linking these with models of animal health and disease is a priority. Farm-scale modeling provides tools for policymakers to predict the emissions of GHG and other pollutants from livestock farms, and to support the management decisions of farmers from environmental and economic standpoints. Other models focus on how policy and associated management changes affect a range of economic and environmental variables at regional, national and European scales. Models at larger scales generally utilise more empirical approaches than those applied at animal, field and farm-scales and include assumptions which may not be valid under climate change conditions. It is therefore important to continue to develop more realistic representations of processes in regional and global models, using the understanding gained from finer-scale modeling. An iterative process of model development, in which lessons learnt from mechanistic models are applied to develop ‘smart’ empirical modeling, may overcome the trade-off between complexity and usability. Developing the modeling capacity to tackle the complex challenges related to climate change, is reliant on closer links between modelers and experimental researchers, and also requires knowledge-sharing and increasing technical compatibility across modeling disciplines. Stakeholder engagement throughout the process of model development and application is vital for the creation of relevant models, and important in reducing problems related to the interpretation of modeling outcomes. Enabling modeling to meet the demands of policymakers and other stakeholders under climate change will require collaboration within adequately-resourced, long-term inter-disciplinary research networks.
Original languageEnglish
Pages (from-to)24 - 37
Number of pages14
JournalAgricultural Systems
Volume147
Early online date25 May 2016
DOIs
Publication statusFirst published - 25 May 2016

Fingerprint

ruminant
production system
climate change
modeling
stakeholder
greenhouse gas
sward
farm
ecosystem service
livestock
health and disease
grassland soil
nutrient loss
soil degradation
trade-off
grassland
biodiversity
food
animal
carbon

Bibliographical note

1023324

Keywords

  • Food security
  • Livestock systems
  • Pastoral systems
  • Policy support

Cite this

Kipling, RP., Bannick, A., Bellocchi, G., Dalgaard, T., Fox, NJ., Hutchings, NJ., ... Scollan, ND. (2016). Modeling European ruminant production systems: facing the challenges of climate change. Agricultural Systems, 147, 24 - 37. https://doi.org/10.1016/j.agsy.2016.05.007
Kipling, RP ; Bannick, A ; Bellocchi, G ; Dalgaard, T ; Fox, NJ ; Hutchings, NJ ; Kjeldsen, C ; Lacetera, N ; Sinabell, F ; Topp, CFE ; van Oijen, M ; Virkajärvi, Perttu ; Scollan, ND. / Modeling European ruminant production systems: facing the challenges of climate change. In: Agricultural Systems. 2016 ; Vol. 147. pp. 24 - 37.
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Kipling, RP, Bannick, A, Bellocchi, G, Dalgaard, T, Fox, NJ, Hutchings, NJ, Kjeldsen, C, Lacetera, N, Sinabell, F, Topp, CFE, van Oijen, M, Virkajärvi, P & Scollan, ND 2016, 'Modeling European ruminant production systems: facing the challenges of climate change', Agricultural Systems, vol. 147, pp. 24 - 37. https://doi.org/10.1016/j.agsy.2016.05.007

Modeling European ruminant production systems: facing the challenges of climate change. / Kipling, RP; Bannick, A; Bellocchi, G; Dalgaard, T; Fox, NJ; Hutchings, NJ; Kjeldsen, C; Lacetera, N; Sinabell, F; Topp, CFE; van Oijen, M; Virkajärvi, Perttu; Scollan, ND.

In: Agricultural Systems, Vol. 147, 25.05.2016, p. 24 - 37.

Research output: Contribution to journalArticle

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AU - Kipling, RP

AU - Bannick, A

AU - Bellocchi, G

AU - Dalgaard, T

AU - Fox, NJ

AU - Hutchings, NJ

AU - Kjeldsen, C

AU - Lacetera, N

AU - Sinabell, F

AU - Topp, CFE

AU - van Oijen, M

AU - Virkajärvi, Perttu

AU - Scollan, ND

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N2 - Ruminant production systems are important producers of food, support rural communities and culture, and help to maintain a range of ecosystem services including the sequestering of carbon in grassland soils. However, these systems also contribute significantly to climate change through greenhouse gas (GHG) emissions, while intensification of production has driven biodiversity and nutrient loss, and soil degradation. Modeling can offer insights into the complexity underlying the relationships between climate change, management and policy choices, food production, and the maintenance of ecosystem services. This paper 1) provides an overview of how ruminant systemsmodeling supports the efforts of stakeholders and policymakers to predict, mitigate and adapt to climate change and 2) provides ideas for enhancing modeling to fulfil this role. Many grassland models can predict plant growth, yield and GHG emissions from mono-specific swards, but modeling multi-species swards, grassland quality and the impact of management changes requires further development. Current livestock models provide a good basis for predicting animal production; linking these with models of animal health and disease is a priority. Farm-scale modeling provides tools for policymakers to predict the emissions of GHG and other pollutants from livestock farms, and to support the management decisions of farmers from environmental and economic standpoints. Other models focus on how policy and associated management changes affect a range of economic and environmental variables at regional, national and European scales. Models at larger scales generally utilise more empirical approaches than those applied at animal, field and farm-scales and include assumptions which may not be valid under climate change conditions. It is therefore important to continue to develop more realistic representations of processes in regional and global models, using the understanding gained from finer-scale modeling. An iterative process of model development, in which lessons learnt from mechanistic models are applied to develop ‘smart’ empirical modeling, may overcome the trade-off between complexity and usability. Developing the modeling capacity to tackle the complex challenges related to climate change, is reliant on closer links between modelers and experimental researchers, and also requires knowledge-sharing and increasing technical compatibility across modeling disciplines. Stakeholder engagement throughout the process of model development and application is vital for the creation of relevant models, and important in reducing problems related to the interpretation of modeling outcomes. Enabling modeling to meet the demands of policymakers and other stakeholders under climate change will require collaboration within adequately-resourced, long-term inter-disciplinary research networks.

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KW - Food security

KW - Livestock systems

KW - Pastoral systems

KW - Policy support

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JO - Agricultural Systems

JF - Agricultural Systems

SN - 0308-521X

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