机构地区:[1]School of Urban and Environmental Sciences,Huaiyin Normal University,Huai’an,Jiangsu 223300,China [2]Academy of Water Resource Conservation Forests of Qilian Mountains in Gansu Province,Zhangye,Gansu 734000,China
出 处:《Journal of Landscape Research》2018年第5期122-127,共6页景观研究(英文版)
基 金:Sponsored by National Natural Science Fund of China(41461004);Gansu Provincial Science and Technology Innovation Service Platform Project(144JTCG254);Gansu Provincial Basic Research Innovation Group Project(145RJIG337)
摘 要:In order to analyze the relationship between desert plant growth and precipitation,soil moisture,as well as groundwater in desertification control,a comprehensive desertification prevention and control station was established in the desert area of Hexi Corridor for long-term location monitoring,and data of precipitation,soil moisture,groundwater,coverage,and biomass were obtained.Methods including characteristic parameter algorithm,correlation analysis,and stepwise multiple linear regression analysis were employed to analyze the annual and inter-annual variation characteristics of plant growth and moisture,and related regression models were analyzed.The results showed that:(1) from 2006 to 2014,the inter-annual variation of soil moisture was the most drastic,the precipitation,biomass,and coverage underwent a similarly great variation,and the variation of the groundwater was the most moderate.The coverage showed a significantly fluctuating uptrend,and the biomass increased slightly.The precipitation,soil moisture,and groundwater showed a slight decrease,but it was not obvious.(2) During the plant growing season from March to November,the change of moisture content in each layer of soil was basical y the same,and the changes in biomass and coverage were basically the same,so were the changes in precipitation and groundwater.The order of the change range from large to small within the year was precipitation > groundwater depth > biomass > average coverage > soil moisture content.(3) Both the coverage and biomass models passed the R-fitting test,the F-test,and the t-test.The models predicted the variation of 58.0% and 98.7%,and the accuracy rate reached 52.0% and 86.2%.The research results can provide scientific support and reference data for water resources management in the prevention and control of desertification,as well as the evaluation of the influence of projects such as returning farmland to forest,natural forest protection,and comprehensive management of the Heihe River Basin on water resources.In order to analyze the relationship between desert plant growth and precipitation,soil moisture,as well as groundwater in desertification control,a comprehensive desertification prevention and control station was established in the desert area of Hexi Corridor for long-term location monitoring,and data of precipitation,soil moisture,groundwater,coverage,and biomass were obtained.Methods including characteristic parameter algorithm,correlation analysis,and stepwise multiple linear regression analysis were employed to analyze the annual and inter-annual variation characteristics of plant growth and moisture,and related regression models were analyzed.The results showed that:(1) from 2006 to 2014,the inter-annual variation of soil moisture was the most drastic,the precipitation,biomass,and coverage underwent a similarly great variation,and the variation of the groundwater was the most moderate.The coverage showed a significantly fluctuating uptrend,and the biomass increased slightly.The precipitation,soil moisture,and groundwater showed a slight decrease,but it was not obvious.(2) During the plant growing season from March to November,the change of moisture content in each layer of soil was basical y the same,and the changes in biomass and coverage were basically the same,so were the changes in precipitation and groundwater.The order of the change range from large to small within the year was precipitation > groundwater depth > biomass > average coverage > soil moisture content.(3) Both the coverage and biomass models passed the R-fitting test,the F-test,and the t-test.The models predicted the variation of 58.0% and 98.7%,and the accuracy rate reached 52.0% and 86.2%.The research results can provide scientific support and reference data for water resources management in the prevention and control of desertification,as well as the evaluation of the influence of projects such as returning farmland to forest,natural forest protection,and comprehensive management of the Heihe River Basin on water resources.
关 键 词:BIOMASS COVERAGE Precipitation Soil MOISTURE GROUNDWATER Hexi CORRIDOR
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