中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > Seasonal Variation of Cumulative CO2 Emission from a Vertisol Under Apricot Orchard in Semi-Arid Southeast Turkey 土壤圈(英文版) 2012,22 (3)
Position: Home > Articles > Seasonal Variation of Cumulative CO2 Emission from a Vertisol Under Apricot Orchard in Semi-Arid Southeast Turkey Pedosphere 2012,22 (3)

Seasonal Variation of Cumulative CO2 Emission from a Vertisol Under Apricot Orchard in Semi-Arid Southeast Turkey

作  者：
Güzel Yılma
单  位：
Department of Environmental Engineering, Harran University, Sanliurfa 63100 (Turkey
关键词：
co2;weekly;co2 emissions;co2 emission;apricot orchard;southeas
摘  要：
Understanding the factors affecting the CO2 emission from agricultural practices is crucial for global warming. A study was performed in an apricot orchard field in the experimental farm of the Harran University, Southeast Turkey, to i) quantify weekly and seasonal variations of the CO2 emissions from a Vertisol under apricot orchard; ii) evaluate the difference in CO2 emission between the area under trees and rows; and iii) assess the relationships between the amounts of CO2 emissions and environmental parameters for better use and management of the soils from the view point of carbon balance and flux in a semi-arid environment under drip irrigation. Soil CO2 emission measurements were performed during May 2008 and May 2010, from both under tree crowns (CO2-UC) and between tree rows (CO2-BR), on a weekly basis in southeast Turkey with a semi-arid climate. CO2 emissions were statistically correlated with weather and soil parameters such as air temperature, relative humidity, rainfall, soil water content, and soil temperature at various depths from 5 to 100 cm. The weekly emissions ranged from 82 to 1 110 kg CO2 ha(-1) week(-1) and from 96 to 782 kg CO2 ha(-1) week(-1) in CO2-UC and CO2-BR, respectively. Increase in CO2 emission in the second year was due to increases in mean air and soil temperatures. The weekly and monthly cumulative CO2 emissions were positively correlated with the air and soil temperatures. Multiple linear regression analysis explained 35% and 83% variations in average weekly and monthly CO2 emissions, by using meteorological data. Including the interaction effects of meteorological parameters in regression equations nearly doubled the variance explained by the regression models. According to stepwise regression analysis, soil and air temperatures were found to have the most significant impact on the temporal variability of the soil CO2 emission.

相似文章

导出引用
计量
文章访问数: 18
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46