Behavioral patterns of yaks (Bos grunniens) grazing on alpine shrub meadows of the Qinghai-Tibetan Plateau

Yang, Chengjian; Tsedan, Guru; Fan, Qingshan; Wang, Zhaofeng; Chang, Shenghua; Hou, Fujiang

doi:10.1016/j.applanim.2020.105182

Cited by 12 publications

(7 citation statements)

References 50 publications

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“…The interaction effects between grazing activities and slope were the main interaction. This conclusion was related to the study of Li L. et al (2019) and Yang C. et al (2021), in the southeastern part of the QTP, the vegetation was relatively lush and mostly forest (Li et al, 2019b;Yang C. et al, 2021). The forest ecosystem was the dominant ecosystem in the above regions.…”

Section: Response Of Habitat Quality To Grazing Activitiesmentioning

confidence: 77%

Responses of Habitat Quality and Animal Biodiversity to Grazing Activities on the Qinghai-Tibet Plateau

Liu

Wang

et al. 2021

Front. Ecol. Evol.

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Grazing activities perhaps lead to habitat quality degradation and animal biodiversity loss while the effects on the Qinghai-Tibet Plateau (QTP) is still relatively poorly studied. Based on the Integrated Valuation of Ecosystem Services and Tradeoffs model, geographical detector model and generalized linear mixed model, the responses of habitat quality and animal biodiversity to grazing activities at 5 km grid scale were analyzed. Results showed that the overall habitat quality on the QTP was high with 76.43% of the total area, and poor level accounted for 19.56%. High level habitat was mainly distributed in the southern part, while the poor level in the northern part. The mean grazing activity explanatory ability to habitat quality, bird species richness and mammal richness were 0.346, 0.430, and 0.354. The interaction effects between slope and grazing activities on habitat quality, bird species richness and mammal richness were the most important interaction effects, and the area affected by the interaction was 73.82, 46.00, and 46.17% of habitat quality, bird species richness and mammal richness, respectively. The interaction effects on habitat quality, bird species richness and mammal richness all showed “low in the northwest and high in the southeast”. Grazing activities and habitat quality had a positive correlation while bird species richness, and mammal richness negative correlations. The spatial relationship of grazing activities of habitat quality was “higher in the middle and lower around the periphery”, while the spatial distribution of grazing activities of bird species richness and mammal richness was “higher in the east and lower in the west”. This study explicitly revealed the responses of habitat quality and animal biodiversity to grazing activities, thus providing references for biodiversity conservation on the QTP.

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Section: Response Of Habitat Quality To Grazing Activitiesmentioning

confidence: 77%

Responses of Habitat Quality and Animal Biodiversity to Grazing Activities on the Qinghai-Tibet Plateau

Liu

Wang

et al. 2021

Front. Ecol. Evol.

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“…Differing species compositions of grasses and shrubs had different results in varied biomass structures and volumes (Yang et al 2021). Although grasses and shrubs occupied an equivalent area in this study, the latter was located at a higher elevation with approximately doubled AGB A of the former.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variability of Alpine Meadow Aboveground Biomass and Sustainable Grazing in Light of Climate Warming

Yan

Gao

et al. 2023

Rangeland Ecology & Management

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“…The daily DI featured with two peaks in the morning and the afternoon, and a trough at noon, which is consistent with the findings in previous studies. This M-shaped variation is believed to be associated with the foraging behaviors of ruminants, who typically forage in the morning and afternoon and engage in rumination at midday [35,58,59]. Moreover, the daily variations fluctuated modestly in July and August could be that yaks may not need occupy a large area when food is plentiful in July and August [58,60].…”

Section: Discussionmentioning

confidence: 99%

UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution

Ji,

Luo,

Liao

et al. 2023

Animals

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Grazing management is one of the most widely practiced land uses globally. Quantifying the spatiotemporal distribution of livestock is critical for effective management of livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions for livestock dynamic monitor and key parameters quantification under actual grazing situations. In this study, we proposed a pragmatic method for quantifying the grazing density (GD) and herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three typical household pastures on the Qinghai-Tibetan Plateau, China. We found that: (1) yak herds grazing followed a rotational grazing pattern spontaneously within the pastures, (2) Dispersion Index of yak herds varied as an M-shaped curve within one day, and it was the lowest in July and August, and (3) the average distance between the yak herd and the campsites in the cold season was significantly shorter than that in the warm season. In this study, we developed a method to characterize the dynamic GD and HP of yak herds precisely and effectively. This method is ideal for studying animal behavior and determining the correlation between the distribution of pastoral livestock and resource usability, delivering critical information for the development of grassland ecosystem and the implementation of sustainable grassland management.

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Behavioral patterns of yaks (Bos grunniens) grazing on alpine shrub meadows of the Qinghai-Tibetan Plateau

Cited by 12 publications

References 50 publications

Responses of Habitat Quality and Animal Biodiversity to Grazing Activities on the Qinghai-Tibet Plateau

Responses of Habitat Quality and Animal Biodiversity to Grazing Activities on the Qinghai-Tibet Plateau

Spatiotemporal Variability of Alpine Meadow Aboveground Biomass and Sustainable Grazing in Light of Climate Warming

UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution

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