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沿海盐沼二氧化碳通量的生态参数减少、环境状况和特征过程图。

Ecological parameter reductions, environmental regimes, and characteristic process diagram of carbon dioxide fluxes in coastal salt marshes.

机构信息

West Virginia University, P.O. Box 6103, Morgantown, WV, 26506-6103, USA.

出版信息

Sci Rep. 2020 Sep 25;10(1):15732. doi: 10.1038/s41598-020-72066-8.

DOI:10.1038/s41598-020-72066-8
PMID:32978413
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7519661/
Abstract

We investigated the ecological parameter reductions (termed "similitudes") and characteristic patterns of the net uptake fluxes of carbon dioxide (CO) in coastal salt marshes using dimensional analysis method from fluid mechanics and hydraulic engineering. Data collected during May-October, 2013 from four salt marshes in Waquoit Bay and adjacent estuary, Massachusetts, USA were utilized to evaluate the theoretically-derived dimensionless flux and various ecological driver numbers. Two meaningful dimensionless groups were discovered as the light use efficiency number (LUE = CO normalized by photosynthetically active radiation) and the biogeochemical number (combination of soil temperature, porewater salinity, and atmospheric pressure). A semi-logarithmic plot of the dimensionless numbers indicated the emergence of a characteristic diagram represented by three distinct LUE regimes (high, transitional, and low). The high regime corresponded to the most favorable (high temperature and low salinity) condition for CO uptake, whereas the low regime represented an unfavorable condition (low temperature and high salinity). The analysis identified two environmental thresholds (soil temperature ~ 17 °C and salinity ~ 30 ppt), which dictated the regime transitions of CO uptake. The process diagram and critical thresholds provide important insights into the CO uptake potential of coastal wetlands in response to changes in key environmental drivers.

摘要

我们运用流体力学和水利工程的维度分析方法,研究了沿海盐沼的生态参数缩减(称为“相似性”)和二氧化碳(CO)净吸收通量的特征模式。本研究利用 2013 年 5 月至 10 月在美国马萨诸塞州 Waquoit 湾和相邻河口的四个盐沼收集的数据,评估了理论推导的无因次通量和各种生态驱动因子数量。发现了两个有意义的无因次群组,分别为光利用效率数(LUE=CO 与光合有效辐射标准化)和生物地球化学数(土壤温度、孔隙水盐度和大气压的组合)。无因次数的半对数图表明出现了一个由三个明显的 LUE 区(高、过渡和低)组成的特征图。高区对应于 CO 吸收最有利的条件(高温和低盐度),而低区则代表不利条件(低温和高盐度)。分析确定了两个环境阈值(土壤温度17°C 和盐度30ppt),这决定了 CO 吸收的区制转换。该过程图和关键阈值为沿海湿地对关键环境驱动因素变化的 CO 吸收潜力提供了重要的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/982ec45852d9/41598_2020_72066_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/9e14c5cd308b/41598_2020_72066_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/8ee3308e23e4/41598_2020_72066_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/1b7920794699/41598_2020_72066_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/982ec45852d9/41598_2020_72066_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/9e14c5cd308b/41598_2020_72066_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/8ee3308e23e4/41598_2020_72066_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/1b7920794699/41598_2020_72066_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/042d/7519661/982ec45852d9/41598_2020_72066_Fig4_HTML.jpg

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