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点测量值和仅施用化肥的排放因子的外推法无法获取全州范围内的土壤一氧化氮排放量。

Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO emissions.

作者信息

Almaraz Maya, Bai Edith, Wang Chao, Trousdell Justin, Conley Stephen, Faloona Ian, Houlton Benjamin Z

机构信息

Department of Land, Air, and Water Resources, University of California-Davis, Davis, CA 95616, USA.

Key Laboratory of Forest and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.

出版信息

Sci Adv. 2018 Sep 12;4(9):eaau7373. doi: 10.1126/sciadv.aau7373. eCollection 2018 Sep.

Abstract

Maaz . argue that inconsistencies across scales of observation undermine our working hypothesis that soil NO emissions have been substantially overlooked in California; however, the core issues they raise are already discussed in our manuscript. We agree that point measurements cannot be reliably used to estimate statewide soil NO emissions-the principal motivation behind our new modeling/airplane approach. Maaz .'s presentation of fertilizer-based emission factors (a nonmechanistic scaling of point measures to regions based solely on estimated nitrogen fertilizer application rates) includes no data from California or other semiarid sites, and does not explicitly account for widely known controls of climate, soil, and moisture on soil NO fluxes. In contrast, our model includes all of these factors. Finally, the fertilizer sales data that Maaz . highlight are known to suffer from serious errors and do not offer a logically more robust pathway for spatial analysis of NO emissions from soil.

摘要

马兹等人认为,不同观测尺度之间的不一致削弱了我们的工作假设,即加利福尼亚州的土壤一氧化氮排放被严重忽视;然而,他们提出的核心问题在我们的手稿中已经讨论过了。我们同意,点测量不能可靠地用于估算全州的土壤一氧化氮排放——这是我们新的建模/飞机方法背后的主要动机。马兹等人提出的基于肥料的排放因子(一种仅基于估计的氮肥施用量将点测量值按比例非机械地扩展到区域的方法)没有包含来自加利福尼亚州或其他半干旱地区的数据,也没有明确考虑气候、土壤和湿度对土壤一氧化氮通量的众所周知的控制因素。相比之下,我们的模型包含了所有这些因素。最后,众所周知,马兹等人所强调的肥料销售数据存在严重误差,并且并没有为土壤一氧化氮排放的空间分析提供一个逻辑上更可靠的途径。

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