检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]阿坝师范学院,四川汶川623002 [2]陕西师范大学旅环学院,陕西西安710061
出 处:《西南农业学报》2016年第7期1666-1671,共6页Southwest China Journal of Agricultural Sciences
基 金:阿坝师专校级科研项目汾河流域旱涝灾害研究(ASB14-09)
摘 要:通过连续6年(2009-2014年)对青海湖南侧不同植被条件下土壤CO_2和空气中CO_2的浓度的定点检测试验,研究了该区土壤CO_2浓度变化特点、规律及其主要影响因素。不同植被相同深度CO_2浓度变化规律:高草地CO_2浓度明显高于裸地;高草地的小时平均浓度是裸地的4.74倍,而且茂密高草地的CO_2浓度的变化曲线更加平缓。温度是影响该区土壤CO_2浓度的主要因素。统计学分析表明,青海湖南侧地区CO_2浓度的变化与温度呈显著的正相关关系(P<0.05);并且随着全球CO_2浓度的增加,青海湖南侧地区土壤CO_2浓度仍有持续增加的趋势。Through the CO2 concentration (2009 - 2014) in soil and air under different vegetation conditions at Jiangxigeu township of Gouhe Country, the changes in the area of soil CO2 concentration characteristics, rules and its main influencing factors were researched in the present study. The results showed the CO2 concentration change of different vegetation with the same depth: CO2 concentration of tall prairie grass was significantly higher than hare ground ; And the hour average concentration of tall prairie grass was 4.74 times of bare ground and changes in the lush meadows of the high CO2 concentration curve is much gentler. The temperature was the main factors affecting soil CO2 concentration in the area. Through statistical analysis, CO2 concentration and temperature change had a significantly positive correlation. With global wanning, soil CO2 concentration will increase.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.166