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ClimAg: Multifactorial causes of fodder crises in Ireland and risks due to climate change

https://raw.githubusercontent.com/ClimAg/.github/main/images/logos.png

About

ClimAg is examining past fodder crises such as the 2018 dry summer and placing them in the context of long-term climate change.

ClimAg seeks to identify the multifactorial drivers of fodder crises by:

  • developing a detailed understanding of the multiple interlinked drivers of previous fodder crises affecting the Irish agricultural sector
  • combining datasets from 21st century climate simulations with grass growth models to predict the frequency and severity of fodder crisis events under future climate change scenarios

This research project was carried out at the Environmental Research Institute (ERI), University College Cork (UCC) between 2019 and 2023.

Team

Publications

Poster

  1. Nolan, C. G., Leahy, P. G., Hickey, K., and Wingler, A. (2021) ‘Risk of Drought-Related “Fodder Crises” in Irish Agriculture under mid-21st Century Climatic Conditions’. Irish National Hydrology Conference, Athlone, November. Available at: https://hydrologyireland.ie/wp-content/uploads/2021/12/03-Paul-Leahy-NHC_ClimAg_A0_Poster_Leahy.pdf (Accessed: 3 June 2022).
  2. Leahy, P. G., Streethran, N., Hickey, K., and Wingler, A. (2022) ‘Increased severity and frequency of fodder production deficits under future climate conditions in Ireland’. International Symposium on Climate-Resilient Agri-Environmental Systems, Dublin, 29 August. Available at: https://www.iscraes.org/wp-content/uploads/2023/01/Paul-Leahy-Poster-grassland-poster-ISCRAES-2022.pdf (Accessed: 27 March 2023).

Acknowledgements

ClimAg is a three-year research project funded by the Environmental Protection Agency (EPA) under the Climate Change Research Programme grant number 2018-CCRP-MS.50, with additional funding provided under the COVID-19 research support scheme of the Higher Education Authority (HEA).

The Python implementation of the ModVege pasture model adapted for use in this project was translated from Java to Python by Y. Chemin of JRC Ispra. This Python implementation was originally published as public domain software on GitHub under the Unlicence license. The Java model was provided by R. Martin of INRAE UREP Clermont-Ferrand for the original Python implementation. The original ModVege pasture model was developed by Jouven et al.

Licence

Code is licensed under the Apache License, Version 2.0.

Links

Contents

.. toctree::
   :maxdepth: 2

   model
   methods
   notebooks

Indices and tables