首页> 外文期刊>土壤圈(英文版) >Seasonal Variation of Cumulative CO2 Emission from a Vertisol Under Apricot Orchard in Semi-Arid Southeast Turkey
【24h】

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

机译:土耳其半干旱东南杏园下藜芦排放的累积CO2的季节变化。

获取原文
获取原文并翻译 | 示例
           

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.
机译:了解影响农业实践中CO2排放的因素对于全球变暖至关重要。在土耳其东南部Harran大学的实验农场的杏园中进行了一项研究,以i)量化来自CO2排放的CO2排放的每周和季节性变化杏园下的Vertisol; ii)评估树木和行下区域之间的CO2排放差异; iii)从半干旱环境下滴灌下的碳平衡和通量的角度,评估CO2排放量与环境参数之间的关系,以更好地利用和管理土壤。5月进行了土壤CO2排放测量2008年和2010年5月,在土耳其东南部半干旱气候下,每周从树冠下(CO2-UC)和树排之间(CO2-BR)开始。CO2排放与天气和土壤参数在统计上相关,例如5至100 cm深度处的空气温度,相对湿度,降雨,土壤含水量和土壤温度。每周排放量范围为82至1 110 kg CO2 ha-1第一周和96至782 kg CO2 ha CO2-UC和CO2-BR分别为-1 week-1。第二年的CO2排放量增加是由于平均气温和土壤温度升高引起的。每周和每月的累积CO2排放量与空气和土壤呈正相关温度。线性回归分析利用气象数据解释了平均每周和每月CO2排放量分别有35%和83%的变化。包括气象参数在回归方程中的相互作用几乎使回归模型解释的方差翻了一番。根据逐步回归分析,发现土壤和空气温度对土壤CO2排放的时间变化具有最大的影响。

著录项

  • 来源
    《土壤圈(英文版)》 |2012年第3期|322-332|共11页
  • 作者

    G.YILMAZ;

  • 作者单位

    Department of Environmental Engineering, Harran University, Sanliurfa 63100(Turkey);

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号