Abstract

Abstract. In the last decades, a global warming trend was observed. Along with the temperature increase, modifications in the humidity and wind regime amplify the regional and local impacts on livestock husbandry. Direct impacts include the occurrence of climatic stress conditions. In Europe, cows are economically highly relevant and are mainly kept in naturally ventilated buildings that are most susceptible to climate change. The high-yielding cows are particularly vulnerable to heat stress. Modifications in housing management are the main measures taken to improve the ability of livestock to cope with these conditions. Measures are typically taken in direct reaction to uncomfortable conditions instead of in anticipation of a long-term risk for climatic stress. Measures that balance welfare, environmental and economic issues are barely investigated in the context of climate change and are thus almost not available for commercial farms. Quantitative analysis of the climate change impacts on animal welfare and linked economic and environmental factors is rare. Therefore, we used a numerical modeling approach to estimate the future heat stress risk in such dairy cattle husbandry systems. The indoor climate was monitored inside three reference barns in central Europe and the Mediterranean regions. An artificial neuronal network (ANN) was trained to relate the outdoor weather conditions provided by official meteorological weather stations to the measured indoor microclimate. Subsequently, this ANN model was driven by an ensemble of regional climate model projections with three different greenhouse gas concentration scenarios. For the evaluation of the heat stress risk, we considered the number and duration of heat stress events. Based on the changes in the heat stress events, various economic and environmental impacts were estimated. The impacts of the projected increase in heat stress risk varied among the barns due to different locations and designs as well as the anticipated climate change (considering different climate models and future greenhouse gas concentrations). There was an overall increasing trend in number and duration of heat stress events. At the end of the century, the number of annual stress events can be expected to increase by up to 2000, while the average duration of the events increases by up to 22 h compared to the end of the last century. This implies strong impacts on economics, environment and animal welfare and an urgent need for mid-term adaptation strategies. We anticipated that up to one-tenth of all hours of a year, correspondingly one-third of all days, will be classified as critical heat stress conditions. Due to heat stress, milk yield may decrease by about 2.8 % relative to the present European milk yield, and farmers may expect financial losses in the summer season of about 5.4 % of their monthly income. In addition, an increasing demand for emission reduction measures must be expected, as an emission increase of about 16 Gg of ammonia and 0.1 Gg of methane per year can be expected under the anticipated heat stress conditions. The cattle respiration rate increases by up to 60 %, and the standing time may be prolonged by 1 h. This causes health issues and increases the probability of medical treatments. The various impacts imply feedback loops in the climate system which are presently underexplored. Hence, future in-depth studies on the different impacts and adaptation options at different stress levels are highly recommended.

Highlights

  • In the last decades, a continuation of the long-term global warming trend has been observed and regional and local impacts have already become apparent (WMO, 2018)

  • For the sake of simplicity, projections of the indoor climate and the estimated heat stress risk for the housed dairy cattle are shown for individual barns

  • In order to assess the effect of different atmospheric greenhouse gas concentrations on the heat stress risk, we considered the example of the reference barn Groß Kreutz (Germany, central European continental region), as for this location we could make use of the most comprehensive and homogeneous data set

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Summary

Introduction

A continuation of the long-term global warming trend has been observed and regional and local impacts have already become apparent (WMO, 2018). A modeling system was established in the project to link measurements and modeling of barn climate (natural sciences and engineering) and research on climate-induced behavioral and physiological changes at the barn scale (veterinary and agricultural sciences) with research on climate change and economic impacts at the farm scale Important aspects in this context are the physiological needs of the housed livestock species as well as the regionally typical specifications of the housing. Within the OptiBarn project, meteorological data were collected inside naturally ventilated barns together with physiological and behavioral data focusing on dairy cattle farming in three reference barns in central Europe and in the Mediterranean region in order to develop region-specific sustainable adaptation strategies for dairy housing This data set was used to investigate changes in the heat stress risk of dairy cattle housed in naturally ventilated barns.

Data and methods
On-farm measurements
Reference barn Dummerstorf – central European maritime region
Reference barn Groß Kreutz – central European continental region
Reference barn Bétera - western Mediterranean region
Outdoor climate data
Statistical indoor climate model
Statistical evaluation
Empirical heat stress models
Impact assessment
Results and discussion
Indoor climate changes
Risk under different RCPs
Regional differences
The effect of air movement
Model uncertainty
Climate model ensembles
RCP scenarios
Stress index
Calibration data
Projected impacts and adaption options
Economic impact
Environmental impact
Welfare impact
Adaptation options for animal housing
Summary and conclusions

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