Use of productivity-defined indicators to assess exposure of grassland-based livestock systems to climate change and variability
Marion Sautier A B C , Michel Duru A and Roger Martin-Clouaire B
+ Author Affiliations
- Author Affiliations
A INRA, UMR 1248 AGIR, BP 52627, F-31326 Castanet Tolosan, France.
B INRA, UR875 MIAT, BP 52627, F-31326 Castanet Tolosan, France.
C Corresponding author. Emails: marion.sautier@gmail.com; marion.sautier@toulouse.inra.fr
Crop and Pasture Science 64(7) 641-651 https://doi.org/10.1071/CP13076
Submitted: 27 February 2013 Accepted: 6 September 2013 Published: 4 October 2013
Abstract
Climate change research that aims to accelerate the adaptation process of agricultural production systems first requires understanding their climatic vulnerability, which is in part characterised by their exposure. This paper’s approach moves beyond traditional metrics of climate variables and proposes specific indicators for grassland-based livestock systems. The indicators focus on the variation in seasonal boundaries and seasonal and yearly herbage productivity in response to weather conditions. The paper shows how statistical interpretations of these indicators over several sites and climatic years (past and future) enable the characterisation of classes of climatic years and seasons as well as their frequencies of occurrence and their variation from the past to the expected future. The frequency of occurrence and succession of seasonal extremes is also examined by analysing the difference between observed or predicted seasonal productivity and past mean productivity. The data analysis and corresponding statistical graphics used in our approach can help farmers, advisers, and scientists envision site-specific impacts of climate change on herbage production patterns. An illustrative analysis is performed on three sites in south-western France using a series of climatic years covering two 30-year periods in the past and the future. We found that the herbage production of several clusters of climatic years can be identified as ‘normal’ (i.e. frequent) and that the most frequent clusters in the past become less common in the future, although some clusters remain common. In addition, the year-to-year variability and the contrast between spring and summer–fall (autumn) herbage production are expected to increase.
Additional keywords: abnormal weather pattern, herbage balance, rainfall, temperature.
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