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Response of Soil Moisture to Rainfall in Pine Sylvestris in the Mu Us Sandy Land

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DOI: 10.23977/erej.2022.060214 | Downloads: 15 | Views: 731

Author(s)

Shanshan Song 1, Ben Liu 2, Jingjing Wang 1, Haofeng Gao 3

Affiliation(s)

1 College of Life Sciences, Yulin University, Yulin 719000, Shaanxi, China
2 Zhidan Oilfield Company of Yanchang Oilfield Co., Ltd., Yan'an 717500, Shaanxi, China
3 Oil and Gas Evaluation Center of CNPC Logging Co., Ltd., Xi’an 710000, Shaanxi, China

Corresponding Author

Ben Liu

ABSTRACT

In order to analyze the dynamic response characteristics of soil moisture to rainfall in the Mu Us Sandy Land sand-fixing forest of Pinus sylvestris, the AV-3665R rain gauge, ECH20-5 soil moisture sensor, and deep leakage water tester are used to automatically monitor the rainfall, 0-150cm soil moisture content, and leakage below 150cm of the Pinus sylvestris sand-fixing forest in 2020-2021.The result shows: Cumulative rainfall from May to October in Pinus sylvestris sand-fixing forest significantly affected the change of soil moisture in the 0-150cm layer. Among them, rainfall from May to June has little effect on the soil layer below 100cm, and rainfall after September has a significant effect on soil moisture replenishment; Rainfall less than 40mm has no direct replenishment effect on soil layers below 100cm;Rainfall greater than 50.1mm has a replenishing effect on soil moisture in the 180cm layer, and when the initial water content of the surface layer is high, the rainfall infiltration is fast, the duration is short, and the recharge effect is large. Rainfall and initial water content of soil surface have significant effects on the process and characteristics of soil water infiltration in Pinus sylvestris sand-fixing forest after rainfall.

KEYWORDS

Mu Us Desert, Pinus Sylvestris Sand-Fixing Forest, Soil Volumetric Water Content, Rainfall Infiltration, Dynamic Response

CITE THIS PAPER

Shanshan Song, Ben Liu, Jingjing Wang and Haofeng Gao, Response of Soil Moisture to Rainfall in Pine Sylvestris in the Mu Us Sandy Land. Environment, Resource and Ecology Journal (2022) Vol. 6: 119-127. DOI: http://dx.doi.org/10.23977/erej.2022.060214.

REFERENCES

[1] Jiao Shuren. Afforestation research on the introduction of Pinus sylvestris in Zhanggutai, Liaoning Province. Shelter Forest Technology, 2009 (6): 10-14.
[2] Zhu Jiaojun, Zeng Dehui, Kang Hongzhang, et al. Sandy Pinus sylvestris plantation decline machineSystem. Beijing: China Forestry Press, 2005.
[3] Wu Xiangyun, Jiang Fengqi, Li Xiaodan, et al.The law of decline of artificial sand-fixation forest of Pinus sylvestrisand reasons.Chinese Journal of Applied Ecology, 2004, 15(12): 2225-2228.
[4] Zhu Jiaojun, Kang Hongzhang, Song Lining, et al.Pinus sylvestris on the southern edge of Horqin Sandy LandSeasonal changes of underground water depth in industrial forests.Journal of Ecology, 2009, 28(6): 1767-1772.
[5] Jiao Shuren. Reasons and control measures of early weakening of P. sylvestris sand-fixing forest in Zhanggutai, Liaoning Province. Forestry Science, 2001, 37(2): 131-138.
[6] Gao Chonghua, Li Zhizhong, Fu Qiang. Investigation report on the introduction of Pinus sylvestris in the Mu Us Sandy Land. Inner Mongolia Forestry Science and Technology, 1996 (1): 29-32.
[7] Fan Xiaoying, Liao Chaoying, Xie Yan, et al. Investigation and analysis on the growth of Pinus sylvestris in the southeastern part of the Mu Us Sandy Land. Journal of Northwest Forestry University, 2008, 23(4): 112-116.    
[8] Wang Huaibiao, Pan Peng, Gao Baoshan. Research on key technologies of drought-resistant afforestation of Pinus sylvestris in Mu Us Sandy Land. Journal of Northwest Forestry University, 2009, 24(6): 70-73.
[9] Zhang Lei, Hong Guangyu, Li Zhuofan, et al. Evaluation of restoration effectiveness of three afforestation models in Mu Us Sandy Land based on analytic hierarchy process. Forestry Resource Management, 2017(6): 108-112.
[10] Geriler, Siqin Bilig, Jin Rong, et al.Study on the growth characteristics of Pine sylvestris introduced in Mu Us Sandy Land. Arid Area Resources and Environment, 2004, 18(5): 159-163.
[11] Zhang Youyan. Research on water physiological characteristics of several tree species in Mu Us Sandy Land. Beijing: Beijing Forestry University, 2006.
[12] Ding Xiaogang, He Qian, Li Jiyue, et al. Photosynthetic physiological characteristics of Pinus sylvestris and Pinus tabulaeformis plantation in Mu Us Sandy Land. Soil and Water Conservation Research, 2011, 18(1): 215-219.
[13] Fan Wenhui. Study on the characteristics of transpiration and water consumption of three typical afforestation tree species in Mu Us Sandy Land].Beijing: Beijing Forestry University, 2012.
[14] Ma Chengzhong, Deng Jifeng, Ding Guodong, et al. Effects of different initial planting densities of Pinus sylvestris on soil grain size characteristics in the southern margin of Mu Us Sandy Land. Journal of Soil and Water Conservation, 2017, 31(1): 230-235.
[15] Duan Minfu. Study on the temporal and spatial variation of soil physical and chemical properties of Pinus sylvestris plantation in Yulin sandy area of Mu Us Sandy Land [D].Yang Ling, Shaanxi: Northwest A&F University, 2012.
[16] Xu Song, Liao Chaoying, Dorjeji, et al. Study on carbon storage and spatial distribution in different slope aspects of Pinus sylvestris plantation in Mu Us Sandy Land. Soil and Water Conservation Research, 2015, 22(6): 14-18.
[17] Yang Wenbin, Dang Hongzhong. Soil deep water leakage test recorder. ZL201110252184.7, 2011.
[18] Wu Yongsheng, Haas, Ugt Lehrer. Surface runoff characteristics of sand dunes at the southern margin of the Mao Us Sandy Land. Science Bulletin, 2011, 56(34): 2917-2922
[19] Hu Qi, Liu Jun, Mao Xuegang. Vegetation in Northeast China from 2007 to 2010Coverage and its changes. Journal of Northeast Forestry University, 2017, 45(7):45-50.
[20] Li Xinhui, Song Xiaoning, Zhou Xia. Remote sensing monitoring method of soil moisture in semi-arid areaLaw research. Geography and Geographic Information Science, 2010, 26(1): 90-93.
[21] Chen Bin, Zhang Xuexia, Hua Kai, et al. The temperature vegetation drought index (TVDI) was Application research in grassland drought monitoring. Geography of Arid Regions, 2013, 36(5): 930-937.
[22] Liu Liwen, Zhang Wuping, Duan Yonghong, et al. Agricultural Drought Spatio-temporal Based on TVDI ModelChange remote sensing application. Chinese Journal of Ecology, 2014, 34(13): 3704-3711.
[23] Wang Dan, Nan Rui, Han Junjie, et al. Soil moisture and its effect on air temperature in Heilongjiang Province Sensitivity analysis of and precipitation. Journal of Meteorology and Environment, 2012, 28(2): 49-53.
[24] Xue Fei. Research on land cover monitoring in Northeast China using Fengyun satellite data [D].Chengdu: University of Electronic Science and Technology of China, 2017.
[25] Sun Shuting. Remote sensing estimation and analysis of forest surface temperature in Daxing'an Mountains. Harbin: Northeast Forestry University, 2015.
[26] Song Shanshan, Duan Yizhong, Research on land desertification and prevention measures: Taking the experience of Mu Us Desert as an example. Journal of Yulin University, 2021, (2): 26-31.

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