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A new method to estimate planktonic oxygen metabolism using high-frequency sensor measurements in mesocosm experiments and considering daytime and nighttime respirations
Limnology and Oceanography: Methods ( IF 2.1 ) Pub Date : 2021-03-16 , DOI: 10.1002/lom3.10424
Tanguy Soulié 1 , Sébastien Mas 2 , David Parin 2 , Francesca Vidussi 1 , Behzad Mostajir 1
Affiliation  

Understanding how aquatic ecosystems respond to perturbations has emerged as a crucial way to predict the future of these ecosystems and to assess their capacity to produce oxygen and store atmospheric carbon. In this context, in situ mesocosm experiments are a useful approach for simulating disturbances and observing changes in planktonic communities over time and under controlled conditions. Within mesocosm experiments, the estimation of fundamental parameters such as gross primary production (GPP), net community production (NCP), and respiration (R) allows the evaluation of planktonic metabolic responses to a perturbation. The continuous estimation of these metabolic parameters in real time and at high frequency is made possible by employing noninvasive automated sensors in the water column. However, some uncertainties and methodological questions about the estimation of daytime respiration remain to be addressed for this method, and notably to address the fact that respiration could be significantly higher during the day than during the night. In this study, data from two in situ mesocosm experiments performed in fall and spring in a coastal Mediterranean area were used to develop a new method of estimating daytime respiration, and in turn daily GPP, R, and NCP, by considering the maximum instantaneous R, and that takes into account the variability of the coupling between day–night and dissolved oxygen cycles. This new method was compared with the Winkler incubation technique and with another existing method. Results showed that using this existing method, daytime R was significantly underestimated relative to estimates obtained with the newly proposed method.

中文翻译:

介观实验中使用高频传感器测量来估算浮游氧代谢的新方法,并考虑白天和晚上的呼吸

认识到水生生态系统如何应对扰动已成为预测这些生态系统的未来并评估其产生氧气和存储大气碳的能力的关键方法。在这种情况下,原位介观实验是模拟扰动并观察浮游生物随时间和在受控条件下变化的有用方法。在中观宇宙实验中,估算基本参数,例如初级生产总值(GPP),净社区生产(NCP)和呼吸(R)可以评估对微扰的浮游代谢反应。通过在水柱中采用非侵入式自动传感器,可以实时,高频地连续估算这些代谢参数。但是,此方法仍需要解决一些有关白天呼吸估计的不确定性和方法论问题,尤其是要解决这样一个事实,即白天的呼吸作用可能比夜晚的呼吸作用高得多。在这项研究中,来自秋季和春季在地中海沿岸地区进行的两个原位介观实验的数据被用于开发一种估计白天呼吸的新方法,进而通过考虑最大瞬时R来估计每日GPP,R和NCP。,并考虑了昼夜与溶解氧循环之间耦合的可变性。将该新方法与Winkler孵育技术以及另一种现有方法进行了比较。结果表明,使用这种现有方法,相对于使用新提出的方法获得的估计值,白天R被大大低估了。
更新日期:2021-05-22
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