Meta-analytical insights into organic matter enrichment in the surface microlayer

有机质 曲面(拓扑) 环境科学 化学 数学 有机化学 几何学
作者
Amavi N. Silva,Surandokht Nikzad,Theresa Barthelmeß,Anja Engel,Hartmut Herrmann,Manuela van Pinxteren,Kai Wirtz,Oliver Wurl,Markus Schartau
标识
DOI:10.5194/egusphere-2025-4050
摘要

Abstract. The surface microlayer (SML), the uppermost ~1 mm water layer at the air-water interface, plays a critical role in mediating Earth system processes, yet current knowledge of its composition and organic matter enrichment remains scattered across disciplines. Here, we present the first known meta-analysis of SML studies that quantitatively assesses the distributional characteristics of selected organic compounds, including organic carbon and nitrogen, amino acids, fatty acids, transparent exopolymer particles, carbohydrates, lipids and proteins, through probability density estimates, central tendency metrics and correlations analyses. Our results confirm a preferential enrichment of nitrogen-enriched, particulate organic matter in the SML, highlighting the significance of compound-specific accumulation and selective enrichment patterns. We also observe that the enrichment of a given compound may exhibit notable variability that depends on distinct internal and external conditions. Our evaluation of enrichment factors (EFs) of various measurable compounds provides updated estimates for their typical values and ranges. While delving into the ability of EFs to reflect the partitioning of organic matter within the SML, we also critically examine their limitation in capturing trophic conditions. Based on these findings, we propose that future SML research should incorporate both absolute concentration changes and enrichment capacities in the SML, alongside their relative changes (as denoted by EFs), to more accurately interpret ecological implications. Additionally, our meta-analysis demonstrates the value of logarithmic data transformations and robust central tendency estimates, as essential tools for improving the statistical reliability, comparability, and representation of SML enrichment patterns.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
null完成签到,获得积分0
2秒前
3秒前
Keiraaaa发布了新的文献求助10
5秒前
bbanshan完成签到,获得积分10
5秒前
wrahb完成签到,获得积分10
5秒前
ykxiu完成签到,获得积分10
5秒前
科研通AI6.1应助WYZ采纳,获得10
7秒前
自然醒发布了新的文献求助10
7秒前
Lucas应助活泼的初之采纳,获得10
7秒前
科研通AI6.1应助tobyn采纳,获得10
8秒前
领导范儿应助Cindy采纳,获得10
9秒前
脑洞疼应助杨淇升采纳,获得10
9秒前
10秒前
zjcomposite发布了新的文献求助10
10秒前
理理完成签到 ,获得积分10
11秒前
wtt完成签到 ,获得积分10
13秒前
共享精神应助简单幸福采纳,获得10
13秒前
13秒前
Aiden发布了新的文献求助10
13秒前
氢氧化发布了新的文献求助10
13秒前
DAI发布了新的文献求助30
15秒前
winnie你外卖到了完成签到,获得积分10
16秒前
17秒前
17秒前
sahjdkah发布了新的文献求助10
23秒前
23秒前
24秒前
25秒前
慕青应助Keiraaaa采纳,获得30
26秒前
背后中心发布了新的文献求助10
27秒前
chc发布了新的文献求助20
28秒前
清爽的莆完成签到 ,获得积分10
28秒前
无花果应助林小鱼采纳,获得10
28秒前
今后应助小菊cheer采纳,获得10
29秒前
30秒前
31秒前
pluto应助belly采纳,获得10
32秒前
成熟稳重痴情完成签到,获得积分10
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6517227
求助须知:如何正确求助?哪些是违规求助? 8310284
关于积分的说明 17764776
捐赠科研通 5619572
什么是DOI,文献DOI怎么找? 2925894
邀请新用户注册赠送积分活动 1902723
关于科研通互助平台的介绍 1763761