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Sci Total Environ
Title: | Grazing-induced cattle behaviour modulates the secondary production in a Eurasian steppe ecosystem |
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Author(s): | Hou L; Xin X; Sun H; Tao Y; Chen J; Yan R; Zhang X; Shen B; Altome AIA; Hamed YMZ; Wang X; Nurlan S; Adilbek N; Balzhan A; Kussainova M; Amarjargal A; Fang W; Pulatov A; |
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Address: | "National Hulunbuir Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China. National Hulunbuir Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China. Electronic address: xinxiaoping@caas.cn. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China. Key Laboratory of Animal Ecology and Conservation Biology, Centre for Computational Biology and Evolution, Chinese Academy of Sciences, Beijing 100101, China. Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI 48824, United States of America. National Hulunbuir Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China. Electronic address: yanruirui@caas.cn. College of Geographical Sciences, Inner Mongolia Normal University, Hohhot, China. Agricultural Research Corporation, Wad Madani, Sudan. S. Seifullin Kazakh Agrotechnical University, Astana, Kazakhstan. LLP 'Scientific and Production Center of Grain Farming Named after A.I. Barayev', Kazakhstan. Sustainable Agriculture Center, Kazakh National Agrarian Research University, Almaty, Kazakhstan. University of the Humanities, Ulaanbaatar, Mongolia. Department of Biology, Pace University, New York, NY 10038, USA. EcoGIS Center, National Research University 'Tashkent Institute of Irrigation and Agricultural Mechanization Engineers' (NRU-TIIAME), Tashkent 100000, Uzbekistan" |
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Journal Title: | Sci Total Environ |
Year: | 2023 |
Volume: | 20230517 |
Issue: | |
Page Number: | 164191 - |
DOI: | 10.1016/j.scitotenv.2023.164191 |
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ISSN/ISBN: | 1879-1026 (Electronic) 0048-9697 (Linking) |
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Abstract: | "Livestock-grassland interactions are among the most important relationships in grazed grassland ecosystems, where herbivores play a crucial role in plant community and ecosystem functions. However, previous studies primarily have focused on the responses of grasslands to grazing, with few focussing on the effects of livestock behaviour that in turn would influence livestock intake and primary and secondary productivity. Through a 2-year grazing intensity experiment with cattle in Eurasian steppe ecosystem, global positioning system (GPS) collars were used to monitor animal movements, where animal locations were recorded at 10-min intervals during the growing season. We used a random forest model and the K-means method to classify animal behaviour and quantified the spatiotemporal movements of the animals. Grazing intensity appeared to be the predominant driver for cattle behaviour. Foraging time, distance travelled, and utilization area ratio (UAR) all increased with grazing intensity. The distance travelled was positively correlated with foraging time, yielding a decreased daily liveweight gain (LWG) except at light grazing. Cattle UAR showed a seasonal pattern and reached the maximum value in August. In addition, the canopy height, above-ground biomass, carbon content, crude protein, and energy content of plants all affected cattle behaviour. Grazing intensity and the resulting change in above-ground biomass and forage quality jointly determined the spatiotemporal characteristics of livestock behaviour. Increased grazing intensity limited forage resources and promoted intraspecific competition of livestock, which induced longer travelling distance and foraging time, and more even spatial distribution when seeking habitat, which ultimately led to a reduction in LWG. In contrast, under light grazing where there were sufficient forage resources, livestock exhibited higher LWG with less foraging time, shorter travelling distance, and more specialized habitat occupation. These findings support the Optimal Foraging Theory and the Ideal Free Distribution model, which may have important implications for grassland ecosystem management and sustainability" |
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Keywords: | Animals Cattle *Ecosystem *Grassland Herbivory/physiology Biomass Plants Livestock Behaviour Grassland Grazing intensity Optimal foraging theory Spatiotemporal pattern; |
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Notes: | "MedlineHou, Lulu Xin, Xiaoping Sun, Haixia Tao, Yi Chen, Jiquan Yan, Ruirui Zhang, Xiang Shen, Beibei Altome, Ahmed Ibrahim Ahmed Hamed, Yousif Mohamed Zainelabdeen Wang, Xu Nurlan, Serekpaev Adilbek, Nogayev Balzhan, Akhylbekova Kussainova, Maira Amarjargal, Amartuvshin Fang, Wei Pulatov, Alim eng Netherlands 2023/05/19 Sci Total Environ. 2023 Sep 1; 889:164191. doi: 10.1016/j.scitotenv.2023.164191. Epub 2023 May 17" |
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Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
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