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亚热带马尼拉草坪生态系统CO_2净交换量测定方法比较 被引量:7
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作者 李熙波 杨玉盛 +3 位作者 曾宏达 谢锦升 张静 朱宁 《亚热带资源与环境学报》 2008年第4期16-22,共7页
利用IRGA法和GC法,同步观测了3种天气(晴天、多云、阴天)条件下福州市江滨公园马尼拉草坪生态系统CO2净交换量(NEE)的白昼动态变化,比较IRGA法和GC法透明通量箱对观测样点环境的影响程度,并探讨其对NEE观测结果的影响.结果表明:在单次... 利用IRGA法和GC法,同步观测了3种天气(晴天、多云、阴天)条件下福州市江滨公园马尼拉草坪生态系统CO2净交换量(NEE)的白昼动态变化,比较IRGA法和GC法透明通量箱对观测样点环境的影响程度,并探讨其对NEE观测结果的影响.结果表明:在单次观测结束时,IRGA法通量箱对样点环境的扰动小于GC法,晴天白天二者箱内的平均升温分别为1.79℃和2.33℃,箱内平均光合有效辐射(PAR)降低幅度分别为11.00%和21.00%.3种天气情况下,IRGA法与GC法观测的NEE白天变化趋势较一致,但3种天气相同时段内GC法测定的NEE平均值比IRGA法高3.17μmol·m-2·s-1,二者的差异在中午最大,在清晨和傍晚较小.IRGA法比GC法可以更为准确地测量草坪NEE. 展开更多
关键词 CO2 净生态系统交换量 IRGA法 GC法 草坪
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基于IRGA通量箱法的草坪夏季晴天CO_2净交换量日动态
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作者 叶爱丽 曾宏达 +4 位作者 李熙波 林亭姗 严平勇 林志斌 黄群彬 《城市环境与城市生态》 CAS CSCD 2009年第4期11-15,共5页
利用红外气体箱式法(Infrared Gas Analyze,IRGA),于2008年8月晴天对福州市马尼拉草坪(Zoysia matrel-la)的生态系统CO2净交换(NEE)和环境因子进行观测,阐明NEE及其组分的昼夜动态变化特征和影响因子。马尼拉草坪NEE的昼夜变化呈现为单... 利用红外气体箱式法(Infrared Gas Analyze,IRGA),于2008年8月晴天对福州市马尼拉草坪(Zoysia matrel-la)的生态系统CO2净交换(NEE)和环境因子进行观测,阐明NEE及其组分的昼夜动态变化特征和影响因子。马尼拉草坪NEE的昼夜变化呈现为单峰型曲线,昼间其变化规律较强,夜间呈波动状态。NEE(取绝对值)最大值出现在10:00,最小值出现在16:00左右。太阳辐射、腔室内空气相对湿度和气温与NEE的相关性均为极显著(p<0.01),太阳辐射、腔室内空气相对湿度和5cm土壤温度共同解释NEE速率昼夜变异的89.30%。太阳辐射和腔室内空气相对湿度是影响草坪生态系统CO2净交换量日动态的主导环境因子;其中,太阳辐射可以单独解释NEE速率昼夜变化的79.70%,腔室内空气相对湿度可以单独解释NEE速率昼夜变化的50.40%;夏季晴天草坪生态系统在日尺度上表现为净吸收,平均CO2净交换速率为-4.11μmol/(m2.s)(负值表示吸收),平均日总通量为-0.18 mol/(m2.d)。 展开更多
关键词 CO2净交换 IRGA 草坪生态系统 土壤呼吸 环境因子
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A Re-examination of Density Effects in Eddy Covariance Measurements of CO_2 Fluxes 被引量:1
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作者 Heping LIU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2009年第1期9-16,共8页
Corrections of density effects resulting from air-parcel expansion/compression are important in interpreting eddy covariance fluxes of water vapor and CO2 when open-path systems are used. To account for these effects,... Corrections of density effects resulting from air-parcel expansion/compression are important in interpreting eddy covariance fluxes of water vapor and CO2 when open-path systems are used. To account for these effects, mean vertical velocity and perturbation of the density of dry air are two critical parameters in treating those physical processes responsible for density variations. Based on various underlying assumptions, different studies have obtained different formulas for the mean vertical velocity and perturbation of the density of dry air, leading to a number of approaches to correct density effects. In this study, we re-examine physical processes related to different assumptions that are made to formulate the density effects. Specifically, we re-examine the assumptions of a zero dry air flux and a zero moist air flux in the surface layer, used for treating density variations, and their implications for correcting density effects. It is found that physical processes in relation to the assumption of a zero dry air flux account for the influence of dry air expansion/compression on density variations. Meanwhile, physical processes in relation to the assumption of a zero moist air flux account for the influence of moist air expansion/compression on density variations. In this study, we also re-examine mixing ratio issues. Our results indicate that the assumption of a zero dry air flux favors the use of the mixing ratio relative to dry air, while the assumption of a zero moist air flux favors the use of the mixing ratio relative to the total moist air. Additionally, we compare different formula for the mean vertical velocity, generated by air-parcel expansion/compression, and for density effect corrections using eddy covariance data measured over three boreal ecosystems. 展开更多
关键词 eddy covariance flux of CO2 flux correction density effects air-parcel expansion/compression open-path CO2/H2O infrared gas analyzer
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Relationship among Different Soil Biochemical Methods to Determine Soil Health
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作者 Amitava Chatterjee Umesh Acharya 《Open Journal of Soil Science》 2018年第11期303-313,共11页
Numerous soil biochemical methods are used to determine the soil health status, but the relationships among these methods are not well understood. Relationships among soil biochemical tests, 1) chloroform fumigated mi... Numerous soil biochemical methods are used to determine the soil health status, but the relationships among these methods are not well understood. Relationships among soil biochemical tests, 1) chloroform fumigated microbial biomass C (CFMBC), 2) permanganate oxidizable C (POXC), 3) Solvita CO2-burst (Solvita), 4) Solvita labile amino nitrogen (SLAN), and short-term soil CO2 efflux during laboratory incubation using (v) Alkali-base trap (Alkali) and (vi) infrared gas analyzer (IRGA), were evaluated for nine agricultural soils collected across the Red River Valley of North Dakota and Minnesota, USA. Not a single test is comprehensive to relate with all soil biochemical tests. Coefficient of variation percentage for particular method varied with soil type. Among six tests, CFMBC is significantly (p < 0.05) related with Alkali (r = 0.37), Solvita (r = 0.57), SLAN (r = 0.52), and POXC (r = 0.68). Soil CFMBC correlates with most of soil biochemical tests and can be potential to determine soil biochemical condition. 展开更多
关键词 CHLOROFORM Fumigated Microbial Biomass CARBON Solvita CO2-Burst SOIL Labile AMINO Nitrogen (SLAN) PERMANGANATE Oxidizable CARBON infrared gas analyzeR SOIL Organic CARBON
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