Spatial heterogeneity strongly affects estimates of ecosystem metabolism in two north temperate lakes
Spatial heterogeneity strongly affects estimates of ecosystem metabolism in two north temperate lakes
复制标题
DOI：
10.4319/lo.2012.57.6.1689
复制
发表时间：
2012-11
影响因子：
4.5
通讯作者：
Matthew C. Van de Bogert;D. Bade;S. Carpenter;J. Cole;M. Pace;P. Hanson;O. Langman
中科院分区：
文献类型：
--
作者：
Matthew C. Van de Bogert;D. Bade;S. Carpenter;J. Cole;M. Pace;P. Hanson;O. Langman
为了描述威斯康星州北部两个湖泊新陈代谢估计(总初级生产力[GPP]、呼吸[R]和净生态系统生产力[NEP])的空间变异性，我们收集了27和35个溶解氧传感器的数据，这些传感器在仲夏期间以二维阵列分布在上层混合层中，每个湖泊有10天的时间。在部署过程中，传感器位置之间的空中新陈代谢估计值平均为1-2个数量级，与湖泊内的物理栖息地基本无关。对于所有地点和日期，GPP和R中可解释的差异的76%-90%可归因于湖中的位置，而不是部署的日期。另一方面，NEP受地点的影响较小，79%-93%的解释差异可归因于部署当天。单一位置的估计可能会在每日GPP和R的估计中产生超过一个数量级的误差，并可能错误地描述湖泊的营养状态。使用稀疏化方法，我们发现，在两个湖泊中，使用四个随机放置的传感器将得到的每日新陈代谢估计的精度提高了四倍。
To characterize the spatial variability of metabolism estimates (gross primary production [GPP], respiration [R], and net ecosystem production [NEP]) in two Northern Wisconsin lakes, we collected data from 27 and 35 dissolved oxygen sensors placed in a two‐dimensional array throughout the upper mixed layers over a period of 10 d per lake in midsummer. Averaged over the deployment, aerial metabolism estimates among sensor locations varied 1–2 orders of magnitude and were largely unrelated to physical habitat within the lake. For all sites and days, 76–90% of the explainable variance in GPP and R was attributable to location in the lake rather than day of the deployment. NEP, on the other hand, was less affected by location, with 79–93% of the explained variance attributable to the day of the deployment. Single‐location estimates can yield errors of more than an order of magnitude in estimates of daily GPP and R and can mischaracterize the trophic status of the lake. Using a rarefaction approach, we found that using four randomly placed sensors increased the precision of the resulting daily metabolism estimates fourfold over single‐location measures in both lakes.