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Temporal–Spatial Distribution of Risky Sites for Feeding Cattle in China Based on Temperature/Humidity Index

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  • Ting Wang

    (Jilin Provincial Laboratory of Grassland Farming, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Rongzhen Zhong

    (Jilin Provincial Laboratory of Grassland Farming, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Daowei Zhou

    (Jilin Provincial Laboratory of Grassland Farming, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

This study identifies risk areas for cattle husbandry based on temperature and a relative humidity index (THI) derived from climate data (1987 to 2016) at 839 meteorological stations in China using geostatistics (ordinary and indicator kriging) in the geographical information system (GIS). In general, monthly mean THI values were the highest in July and the lowest in January for all regions. The correlation analysis showed that there were negative relationships between THI values and latitude or elevation for the whole year ( p < 0.01). The THI values were higher at low latitudes in coastal areas and at high latitudes in arid areas in summer. The healthy risk for cattle production varied depending on the time of the year and region. The study shows that cattle production is suitable throughout the whole year in the Qinghai-Tibet Plateau; from October to April for most areas, except the southern coastal areas; in May and September in Northeast China, North China, and parts of Northwest China; in June in Heilongjiang and Inner Mongolia. The information obtained in this study can provide a regional distribution of risk for the cattle industry in China.

Suggested Citation

  • Ting Wang & Rongzhen Zhong & Daowei Zhou, 2020. "Temporal–Spatial Distribution of Risky Sites for Feeding Cattle in China Based on Temperature/Humidity Index," Agriculture, MDPI, vol. 10(11), pages 1-13, November.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:11:p:571-:d:449235
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    References listed on IDEAS

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    1. Sailesh Ranjitkar & Dengpan Bu & Mark Wijk & Ying Ma & Lu Ma & Lianshen Zhao & Jianmin Shi & Chousheng Liu & Jianchu Xu, 2020. "Will heat stress take its toll on milk production in China?," Climatic Change, Springer, vol. 161(4), pages 637-652, August.
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    1. Md. Delowar Hossain & Md. Abdus Salam & Shabbir Ahmed & Mst. Umme Habiba & Shahrina Akhtar & Md. Mazharul Islam & S. A. Masudul Hoque & Abu Sadeque Md. Selim & Md. Morshedur Rahman, 2022. "Relationship of Meteorological Data with Heat Stress Effect on Dairy Cows of Smallholder Farmers," Sustainability, MDPI, vol. 15(1), pages 1-13, December.

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