Methodologies for Measuring Microbial Methane Production and Emission from Soils—A Review

甲烷 土壤水分 环境科学 生产(经济) 环境化学 土壤科学 化学 有机化学 经济 宏观经济学
作者
М. В. Глаголев,O. R. Kotsyurbenko,А. Ф. Сабреков,Yuriy Litti,Irina Terentieva
出处
期刊:Microbiology [Pleiades Publishing]
卷期号:90 (1): 1-19 被引量:7
标识
DOI:10.1134/s0026261721010057
摘要

Methane is an important greenhouse gas. Prediction of its long-term effect on climate changes requires understanding of the sources of its release into the atmosphere. The present work aimed to review the most widely used modern methods for measuring microbial production and emission of methane in soils, and to assess their applicability to various microbial ecosystems. A classification of methods for measuring methane production in microbial soil ecosystems is proposed, based on the basic physical and mathematical approaches to data processing for each method. Under laboratory conditions, methane production is determined by soil samples incubation and layered mass balance methods, which makes it possible to investigate the methanogenic potential of a microbial community for subsequent simulation of microbial processes; these methods, however, cannot be directly extrapolated to natural ecosystems. To determine methane production in field experiments, gradient methods are used, as well as a deep soil chamber technique developed for wetlands. Methods for measuring methane emission are described, as well as their advantages and limitations. While traditional chamber techniques are simple and therefore widely used, their implementation is limited by such factors as changes in environmental conditions caused by using the chamber, small spatial scales, and difficulties in chamber installation in some ecosystems. More recently developed micrometeorological methods are free of these limitations and provide for proper estimations of gas emissions from ecosystems even if these emissions are heterogeneous in space and time. To estimate emissions from such specific objects as landfills and livestock complexes or at large scales (regional or even global), the inverse modeling method is used.
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
HT发布了新的文献求助10
刚刚
zzz发布了新的文献求助30
1秒前
1秒前
Opo发布了新的文献求助10
1秒前
SSS发布了新的文献求助10
2秒前
孤独炳完成签到,获得积分10
2秒前
2秒前
3秒前
快乐问儿完成签到,获得积分10
3秒前
盒子发布了新的文献求助30
3秒前
4秒前
星辰大海应助熊猫海采纳,获得10
4秒前
高兴的老黑完成签到,获得积分10
4秒前
4秒前
Akim应助单纯的半双采纳,获得10
4秒前
慕昊强发布了新的文献求助10
5秒前
5秒前
夏侯初完成签到,获得积分10
5秒前
6秒前
6秒前
科研通AI2S应助cwj采纳,获得10
7秒前
gougou完成签到,获得积分10
7秒前
7秒前
7秒前
明天天明完成签到,获得积分10
7秒前
夕禾完成签到,获得积分10
7秒前
脑洞疼应助悠悠采纳,获得10
7秒前
7秒前
8秒前
楼剑愁发布了新的文献求助10
8秒前
Rrchard_TANG发布了新的文献求助10
8秒前
9秒前
风趣的天问完成签到 ,获得积分10
9秒前
9秒前
香蕉觅云应助只想摆烂采纳,获得10
9秒前
WngZho完成签到,获得积分10
9秒前
Megum1n发布了新的文献求助10
10秒前
黄威发布了新的文献求助10
10秒前
lyyyyy发布了新的文献求助10
11秒前
活吞鲨鱼发布了新的文献求助10
13秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6722410
求助须知:如何正确求助?哪些是违规求助? 8458500
关于积分的说明 18058369
捐赠科研通 5975254
什么是DOI,文献DOI怎么找? 2996696
邀请新用户注册赠送积分活动 1972857
关于科研通互助平台的介绍 1926946