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Bringing Color into the Picture: Using Digital Repeat Photography to Investigate Phenology Controls of the Carbon Dioxide Exchange in a Boreal Mire

机译:将色彩带入图片:使用数码重复摄影研究北方泥潭中二氧化碳交换的物候控制

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Mire vegetation phenology is closely linked to the ecosystem carbon cycle but rarely monitored and quantified with high temporal resolution. In this study, we use digital repeat photography to explore phenology as a control of the carbon dioxide (CO2) exchange measured by eddy covariance (EC) in a minerogenic boreal mire in northern Sweden over 2 years (2011-2012). Strong correlations and seasonal hysteresis effects were observed between the green chromatic coordinate (g (cc)) derived from the digital image archive and leaf area index, day length, and growing degree-day sum (GDDS). Differences in GDDS between the 2 years were the main control on the between-year variations in the spring patterns of g (cc). Periods with lower water table level coincided with an increase of the red chromatic coordinate. The onset and magnitudes of EC-derived photosynthetic CO2 uptake (that is, gross ecosystem production, GEP) and net ecosystem CO2 exchange (NEE) during the spring green-up of vascular plants were more closely related to those of g (cc) than to those of air temperature and photosynthetically active radiation. In contrast, abiotic variables controlled GEP during the summer period when vascular plant canopy cover was fully developed. Stepwise regression analysis suggested that g (cc) contributed substantially in explaining variations in GEP during spring and autumn. Over both growing seasons, g (cc) was well correlated with GEP (r (2) = 0.68), NEE (r (2) = 0.58), and ecosystem respiration (r (2) = 0.50). Overall, we show that digital repeat photography provides an inexpensive and effective method for the continuous quantification of the phenological patterns of the vascular plant community in mire ecosystems. Our results suggest that vegetation phenology is an important control of the mire CO2 exchange and should be considered in both experimental and modeling studies to better account for the separate effects of phenology and abiotic drivers on mire carbon dynamics.
机译:泥潭植被物候与生态系统碳循环密切相关,但很少以高时间分辨率对其进行监测和量化。在这项研究中,我们使用数码重复摄影技术研究了物候学,作为控制涡流协方差(EC)在瑞典北部一个成矿性北方泥潭中进行的2年以上(2011-2012年)二氧化碳(CO2)交换量的控制。从数字图像档案导出的绿色坐标(g(cc))与叶面积指数,日长和生长度-日总和(GDDS)之间观察到强相关性和季节性滞后效应。两年之间GDDS的差异是g(cc)弹簧模式年际变化的主要控制因素。地下水位较低的时期与红色坐标的增加相吻合。在维管植物春季绿化期间,源自EC的光合作用CO 2的吸收(即生态系统总产量,GEP)和净生态系统CO 2交换(NEE)的发生和程度与g(cc)的关系更密切。与空气温度和光合有效辐射有关。相反,在维管植物冠层完全发育的夏季,非生物变量控制了GEP。逐步回归分析表明,g(cc)在解释春季和秋季GEP的变化中起了重要作用。在两个生长季节中,g(cc)与GEP(r(2)= 0.68),NEE(r(2)= 0.58)和生态系统呼吸(r(2)= 0.50)密切相关。总体而言,我们表明,数码重复摄影为泥潭生态系统中的维管植物群落的物候模式的连续定量提供了一种廉价而有效的方法。我们的研究结果表明,植物物候学是泥炭CO2交换的重要控制,在实验研究和模型研究中都应考虑这些因素,以更好地说明物候学和非生物驱动因素对泥炭碳动力学的单独影响。

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