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Potential bias of daily soil CO2 efflux estimates due to sampling time

机译:采样时间导致的每日土壤CO2外排量估算值的潜在偏差

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摘要

Soil respiration (Rs) has been usually measured during daylight hours using manual chambers. This approach assumes that measurements made during a typical time interval (e.g., 9 to 11 am) represent the mean daily value; locally, this may not always be correct and could result in systematic bias of daily and annual Rs budgets. We propose a simple method, based on the temporal stability concept, to determine the most appropriate time of the day for manual measurements to capture a representative mean daily Rs value. We introduce a correction factor to adjust for biases due to non-optimally timed sampling. This approach was tested in a semiarid shrubland using 24 hr campaigns using two treatments: trenched plots and plots with shrubs. In general, we found optimum times were at night and potential biases ranged from −29 to + 40% in relation to the 24 hr mean of Rs, especially in trenched plots. The degree of bias varied between treatments and seasons, having a greater influence during the wet season when efflux was high than during the dry season when efflux was low. This study proposes a framework for improving local Rs estimates that informs how to decrease temporal uncertainties in upscaling to the annual total.
机译:通常在白天使用手动隔室测量土壤呼吸(Rs)。该方法假定在典型时间间隔(例如9点至11点)内进行的测量代表每日平均价值;在本地,这可能并不总是正确的,并且可能导致每日和每年的Rs预算出现系统性偏差。我们建议基于时间稳定性概念的一种简单方法,以确定一天中最合适的时间以进行手动测量,以捕获代表性的每日平均Rs值。我们引入了一个校正因子,以调整由于非最佳定时采样而引起的偏差。该方法在半干旱灌木丛中进行了24小时运动,并使用两种处理方法进行了测试:沟槽地块和灌木地块。总的来说,我们发现最佳时间是在晚上,相对于Rs的24小时平均值,潜在偏差在-29至+ 40%之间,尤其是在trench沟地区。偏倚程度在处理和季节之间有所不同,在外排量高的雨季期间比外排量低的旱季影响更大。这项研究提出了一个改进本地Rs估计的框架,该框架可指导如何减少时间不确定性,以提升到年度总数。

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