Author(s)

Bo Li ¹, Yixin Cui ¹

Affiliation(s)

¹ School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China

Corresponding Author

Bo Li

ABSTRACT

Grassland grazing strategies are crucial to the balance of grassland ecosystems and are closely related to the livelihoods of herders. The purpose of this paper is to study the effects, future trends of different grazing strategies on soil physics properties and vegetation biomass in Xilingole grassland. Based on the 19th graduate student mathematical modeling dataset, the raw data were preprocessed using Python, including missing value interpolation, normality test, Laeta criterion (also known as 3σ criterion) to eliminate outliers, and then combined with random forest classification algorithm and logistic regression algorithm to establish a mathematical model of the effects of different grazing strategies on soil physical properties and vegetation biomass, and analyzed in detail by their relationships The results showed that (1) the grazing strategy and the changes of soil and vegetation in the area were not significant. The results show that (1) the grazing strategy contributes more to vegetation biomass than soil physical properties, and the accuracy of the training set for random forest classification is 0.98, and the accuracy of the test set is 0.74. (2) The linear function of grazing intensity on soil physical properties and vegetation biomass is established by combining with logistic regression algorithm. For different grazing methods, the final grazing strategy results can be obtained by multiplying the grazing intensity by a weighting factor, and subject to the influence of multiple factors, the soil physical properties and vegetation biomass do not always maintain a positive or negative correlation with the change of grazing strategy, which is consistent with the actual grazing strategy influence.

KEYWORDS

Grassland grazing strategy, Mechanism analysis, Random forest classification algorithm, Model

CITE THIS PAPER

Bo Li, Yixin Cui, Prediction and assessment model of the impact of different grazing strategies on Xilingole grassland. Environment, Resource and Ecology Journal (2022) Vol. 6: 12-19. DOI: http://dx.doi.org/10.23977/erej.2022.060503.

REFERENCES

[1] Zhen, L., et al. "Herders' willingness to accept versus the public sector's willingness to pay for grassland restoration in the Xilingol League of Inner Mongolia, China." Environmental Research Letters 9.4 (2014): 045003.
[2] Wu, Jing, Yasunori Kurosaki, and Chunling Du. "Evaluation of climatic and anthropogenic impacts on dust erodibility: A case study in Xilingol Grassland, China." Sustainability 12.2 (2020): 629.
[3] Chi, Dengkai, et al. "Assessing the effects of grazing on variations of vegetation NPP in the Xilingol Grassland, China, using a grazing pressure index." Ecological Indicators 88 (2018): 372-383.
[4] Wieland, Ralf, et al. "Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015." Land Use Policy 83 (2019): 543-559.
[5] Du Shuai, et al. "Grazing does not increase soil antibiotic resistome in two types of grasslands in Inner Mongolia, China." Applied Soil Ecology 155 (2020): 103644.
[6] Sun Bin, et al. "Grassland degradation and restoration monitoring and driving forces analysis based on long time-series remote sensing data in Xilin Gol League." Acta Ecologica Sinica 37.4 (2017): 219-228.
[7] Wang Hao, Yunfeng Hu, and Yuting Liang. "Simulation and spatiotemporal evolution analysis of biocapacity in Xilingol based on CA-Markov land simulation." Environmental and Sustainability Indicators 11 (2021): 100136.
[8] Ye Junzhi, et al. "Analysis on Land-Use Change and its driving mechanism in Xilingol, China, during 2000–2020 using the google earth engine." Remote Sensing 13.24 (2021): 5134.
[9] Tong Chuan, et al. "A landscape-scale assessment of steppe degradation in the Xilin River Basin, Inner Mongolia, China." Journal of Arid Environments 59.1 (2004): 133-149.
[10] Chi, D., et al. "The variability of growing season of different vegetation types in Xilingol League." Pratacultural Sci 33 (2016): 1825-1834.

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