Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)

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A study of the effects of grazing behaviour on ecosystems in grassland ecosystems based on GPS data and plant surveys

Authors
Jianan Yao1, 2, 3, *, Shifeng Wang1, 2, Binbin Wang4, Junkui Niu1, 2, Junfeng Zhu1, 2, Wenbing Liu1, 2, Long Chen4, Lin Kang4
1Yinshanbeilu Grassland Eco-Hydrology National Observation and Research Station, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
2State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100044, China
3School of Science, Inner Mongolia University of Technology, Hohhot, 010051, China
4Inner Mongolia Institute of Metrology Testing and Research, Hohhot, 010010, China
*Corresponding author. Email: yaojn@iwhr.com
Corresponding Author
Jianan Yao
Available Online 14 May 2024.
DOI
10.2991/978-94-6463-415-0_34How to use a DOI?
Keywords
Grazing Intensity; GPS locators; Vegetation; Grassland Ecosystems
Abstract

Grassland ecosystems are one of the most widely distributed ecosystems on Earth, and grazing behavior helps to maintain the diversity of vegetation in grassland ecosystems. However, excessive grazing intensity can have obvious negative effects on vegetation cover. Therefore, it is extremely important to study the effects of grazing intensity on the amount, type and structure of vegetation in grassland ecosystems. The aim of this study was to investigate the effects of grazing behavior on ecosystems through GPS data and plant surveys. We carried out the following studies: Determine the trajectory and range of sheep movement by analyzing GPS data, and derive the calculation results of grazing intensity. We collected the vegetation around the wells through the needle prick method to analyze the vegetation coverage and vegetation diversity around the wells; we analyzed the impact of grazing intensity on the structure of plant communities and species diversity by tracking the GPS movement trajectories of grazing animals and combining the data from plant surveys. The research in this paper provides a reliable basis for scientific management and protection of ecosystems, and provides a basis for formulating reasonable grazing strategies, maintaining the ecological balance of grasslands, and preventing ecological problems that may be caused by overgrazing.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
14 May 2024
ISBN
10.2991/978-94-6463-415-0_34
ISSN
2589-4943
DOI
10.2991/978-94-6463-415-0_34How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jianan Yao
AU  - Shifeng Wang
AU  - Binbin Wang
AU  - Junkui Niu
AU  - Junfeng Zhu
AU  - Wenbing Liu
AU  - Long Chen
AU  - Lin Kang
PY  - 2024
DA  - 2024/05/14
TI  - A study of the effects of grazing behaviour on ecosystems in grassland ecosystems based on GPS data and plant surveys
BT  - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
PB  - Atlantis Press
SP  - 323
EP  - 330
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-415-0_34
DO  - 10.2991/978-94-6463-415-0_34
ID  - Yao2024
ER  -