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Home / Equine Research Bank / Int J Environ Res Public Health / A Population Census of Large Herbivores Based on UAV and Its...
International journal of environmental research and public health2019; 16(22); 4402; doi: 10.3390/ijerph16224402

A Population Census of Large Herbivores Based on UAV and Its Effects on Grazing Pressure in the Yellow-River-Source National Park, China.

Abstract: Using the Yellow-River-Source National Park (YRSNP) as a study site, an unmanned aerial vehicle (UAV) remote sensing and line transect method was used to investigate the number of wild herbivorous animals and livestock, including the kiang () and Tibetan gazelle (). A downscaling algorithm was used to generate the forage yield data in YRSNP based on a 30-m spatial resolution. On this basis, we estimated the forage-livestock balance, which included both wild animals and livestock, and analyzed the effects of functional zone planning in national parks on the forage-livestock balance in YRSNP. The results showed that the estimates of large herbivore population numbers in YRSNP based on population density in the aerial sample strips, which were compared and validated with official statistics and warm season survey results, indicated that the numbers of kiangs and Tibetan gazelles in the 2017 cold season were 12,900 and 12,100, respectively. The numbers of domestic yaks, Tibetan sheep, and horses were 53,400, 76,800, and 800, respectively, and the total number of sheep units was 353,200. The ratio of large wild herbivores and livestock sheep units was 1:5. Large wild herbivores have different preferences for functional zones, preferring ecological restoration areas consisting mainly of sparse grassland. The grazing pressure indices of the core reserve areas and ecological restoration areas were 0.168 and 0.276, respectively, indicating that these two regions still have high grazing potential. However, the grazing pressure index of the traditional utilization areas was 1.754, indicating that these grasslands are severely overloaded. After the planning and implementation of functional zones, the grazing pressure index of YRSNP was 1.967. Under this measure, the number of livestock was not reduced and the grazing pressure nearly doubled, indicating that forage-livestock conflict has become more severe in YRSNP.
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Publication Date: 2019-11-11 PubMed ID: 31717940PubMed Central: PMC6888295DOI: 10.3390/ijerph16224402Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research study utilized unmanned aerial vehicles (UAV) to conduct a census of large herbivores in Yellow-River-Source National Park (YRSNP), China. The study explored the effects of this population on grazing pressure and determined the grazing capacity of different zones within the park.

Methodology

The research involved several significant methods and procedures:

  • An unmanned aerial vehicle (UAV) equipped for remote sensing was used for surveying animal populations. A line transect method was also employed for counting the number of wild herbivorous animals and livestock in YRSNP.
  • A downscaling algorithm was used to produce forage yield data based on a 30-m spatial resolution. This data was essential in estimating the forage-livestock balance.
  • Population density estimates were derived from aerial surveys. These estimates were validated using official statistics and warm season survey results.
  • Finally, a grazing pressure index was calculated for different functional zones within the park. The team evaluated these zones’ grazing potential and the effect of zone planning on forage-livestock balance.

Findings

The research yielded several significant findings:

  • In the cold season of 2017, the population count showed 12,900 kiangs and 12,100 Tibetan gazelles. There were 53,400 yaks, 76,800 Tibetan sheep, and 800 horses, yielding a total of 353,200 sheep units.
  • The ratio of large wild herbivores to livestock sheep units was found to be 1:5, confirming that livestock numbers exceed that of wild herbivorous animals significantly.
  • The study found that large wild herbivores preferred ecological restoration areas, containing primarily sparse grassland.
  • Grazing pressure indices were calculated for different zones. The core reserve areas and ecological restoration areas had pressure indices of 0.168 and 0.276 respectively, indicating high grazing potential. However, traditional utilization areas had a pressure index of 1.754, signaling severe overgrazing.
  • Another important outcome of the study was that even with the implementation of functional zones, the grazing pressure index rose to 1.967 due to a lack of reduction in livestock numbers. This increase suggests a worsening forage-livestock conflict in YRSNP.

Implications

From a conservation perspective, these findings point towards the urgent need to regulate livestock numbers within the park to ensure a balanced forage-livestock relationship. Greater emphasis should also be placed on restoring and preserving areas with high grazing potential. The use of UAV technology in wildlife census and observing grazing patterns also offers a promising approach for sustainable wildlife management.

Cite This Article

APA
Yang F, Shao Q, Jiang Z. (2019). A Population Census of Large Herbivores Based on UAV and Its Effects on Grazing Pressure in the Yellow-River-Source National Park, China. Int J Environ Res Public Health, 16(22), 4402. https://doi.org/10.3390/ijerph16224402

Publication

International journal of environmental research and public health
ISSN: 1660-4601
NlmUniqueID: 101238455
Country: Switzerland
Language: English
Volume: 16
Issue: 22
PII: 4402

Researcher Affiliations

Yang, Fan
  • School of Economics and Management, Zhejiang Ocean University, Zhoushan, 316022, China.
  • Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Shao, Quanqin
  • Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Jiang, Zhigang
  • Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.

MeSH Terms

  • Animals
  • Cattle
  • Censuses
  • China
  • Grassland
  • Herbivory
  • Horses
  • Livestock
  • Parks, Recreational
  • Population Density
  • Remote Sensing Technology
  • Rivers
  • Seasons
  • Sheep

Conflict of Interest Statement

The authors declare no conflict of interest.

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Citations

This article has been cited 2 times.
  1. Kou Y, Yuan Q, Dong X, Li S, Deng W, Ren P. Dynamic Response and Adaptation of Grassland Ecosystems in the Three-River Headwaters Region under Changing Environment: A Review. Int J Environ Res Public Health 2023 Feb 27;20(5).
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  2. Mohammadi A, Almasieh K, Wan HY, Nayeri D, Alambeigi A, Ransom JI, Cushman SA. Integrating spatial analysis and questionnaire survey to better understand human-onager conflict in Southern Iran. Sci Rep 2021 Jun 14;11(1):12423.
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