关键词: Heat stress Köppen classification Linear regression Pearson correlation THI Tropical climate

Mesh : Animals United States Female Humidity Temperature Brazil Meteorology United States National Aeronautics and Space Administration Weather Heat Stress Disorders / veterinary Hot Temperature Lactation Milk

来  源:   DOI:10.1007/s00484-023-02493-5   PDF(Pubmed)

Abstract:
Heat stress negatively affects livestock, with undesirable effects on animals\' production and reproduction. Temperature and humidity index (THI) is a climatic variable used worldwide to study the effect of heat stress on farm animals. Temperature and humidity data can be obtained in Brazil through the National Institute of Meteorology (INMET), but complete data may not be available due to temporary failures on weather stations. An alternative to obtaining meteorological data is the National Aeronautics and Space Administration Prediction of Worldwide Energy Resources (NASA POWER) satellite-based weather system. We aimed to compare THI estimates obtained from INMET weather stations and NASA POWER meteorological information sources using Pearson correlation and linear regression. After quality check, data from 489 INMET weather stations were used. The hourly, average daily and maximum daily THI were evaluated. We found greater correlations and better regression evaluation metrics when average daily THI values were considered, followed by maximum daily THI, and hourly THI. NASA POWER satellite-based weather system is a suitable tool for obtaining the average and maximum THI values using information collected from Brazil, showing high correlations with THI estimates from INMET and good regression evaluation metrics, and can assist studies that aim to analyze the impact of heat stress on livestock production in Brazil, providing additional data to complement the existing information available in the INMET database.
摘要:
热应激对牲畜产生负面影响,对动物的生产和繁殖有不良影响。温度和湿度指数(THI)是全球范围内用于研究热应激对农场动物的影响的气候变量。温度和湿度数据可以通过国家气象研究所(INMET)在巴西获得,但是由于气象站的临时故障,可能无法获得完整的数据。获取气象数据的替代方案是美国国家航空航天局全球能源预测(NASAPOWER)基于卫星的天气系统。我们旨在使用Pearson相关性和线性回归比较从INMET气象站和NASAPOWER气象信息源获得的THI估计值。经过质量检查,使用了来自489个INMET气象站的数据。每小时,平均每日和最大每日THI进行了评估。当考虑平均每日THI值时,我们发现更大的相关性和更好的回归评估指标,其次是最大每日THI,和每小时。基于NASAPOWER卫星的天气系统是使用从巴西收集的信息获得平均和最大THI值的合适工具,显示出与INMET的THI估计值高度相关,并且具有良好的回归评估指标,并可以帮助研究旨在分析热应激对巴西畜牧业生产的影响,提供额外的数据,以补充INMET数据库中现有的信息。
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