已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Flexible Carbon-Use Efficiency across Litter Types and during Decomposition Partly Compensates Nutrient Imbalances—Results from Analytical Stoichiometric Models

营养物 分解 化学计量学 碳纤维 营养循环 环境科学 垃圾箱 生物系统 化学 生物 生态学 计算机科学 算法 有机化学 复合数
作者
Stefano Manzoni
出处
期刊:Frontiers in Microbiology [Frontiers Media SA]
卷期号:8 被引量:84
标识
DOI:10.3389/fmicb.2017.00661
摘要

Mathematical models involving explicit representations of microbial processes have been developed to infer microbial community properties from laboratory and field measurements. While this approach has been used to estimate the kinetic constants related to microbial activity, it has not been fully exploited for inference of stoichiometric traits, such as carbon-use efficiency (CUE). Here, a hierarchy of analytically-solvable mass-balance models of litter carbon (C) and nitrogen (N) dynamics is developed, to infer decomposer CUE from measured C and N contents during litter decomposition. The models are solved in the phase space – expressing litter remaining N as a function of remaining C – rather than in time, thus focusing on the stoichiometric relations during decomposition rather than the kinetics of degradation. This approach leads to explicit formulas that depend on CUE and other microbial properties, which can then be treated as model parameters and retrieved via nonlinear regression. CUE is either assumed time-invariant or as a function of the fraction of remaining litter C as a substitute for time. In all models, CUE tends to increase with increasing litter N availability across a range of litter types. When temporal trends in CUE are considered, CUE increases during decomposition of N-poor litter cohorts, in which decomposers are initially N-limited, but decreases in N-rich litter possibly due to C-limitation. These patterns of flexible CUE that partly compensate stoichiometric imbalances are robust to moderate shifts in decomposer C:N ratio and hold across wide climatic gradients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
刚刚
1秒前
宋宋完成签到 ,获得积分10
1秒前
高贵逍遥完成签到 ,获得积分10
1秒前
3秒前
小嘉贞完成签到,获得积分10
4秒前
macy发布了新的文献求助10
4秒前
Zone完成签到 ,获得积分10
5秒前
ye完成签到,获得积分10
6秒前
十一发布了新的文献求助10
7秒前
嗯0427发布了新的文献求助30
7秒前
11发布了新的文献求助10
8秒前
9秒前
阿宝完成签到,获得积分10
11秒前
ws发布了新的文献求助10
13秒前
13秒前
郑总完成签到 ,获得积分10
13秒前
任性的蜗牛完成签到,获得积分10
14秒前
15秒前
慕鳞发布了新的文献求助10
16秒前
搜集达人应助ruopiao采纳,获得10
20秒前
21秒前
21秒前
Owen应助嗯0427采纳,获得10
22秒前
Orange应助GIA采纳,获得10
28秒前
怕孤单的安蕾完成签到,获得积分10
28秒前
橘子味汽水完成签到 ,获得积分10
28秒前
SciGPT应助邓欣怡采纳,获得10
29秒前
29秒前
bkagyin应助catalm采纳,获得10
29秒前
30秒前
X_yyy完成签到 ,获得积分10
30秒前
31秒前
司马立果发布了新的文献求助10
32秒前
34秒前
冬烜完成签到 ,获得积分10
35秒前
漂亮的煎蛋完成签到,获得积分10
35秒前
大模型应助张章采纳,获得20
35秒前
37秒前
西瓜妹发布了新的文献求助10
38秒前
高分求助中
Learning and Memory: A Comprehensive Reference 2000
Predation in the Hymenoptera: An Evolutionary Perspective 1800
List of 1,091 Public Pension Profiles by Region 1541
The Jasper Project 800
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
Binary Alloy Phase Diagrams, 2nd Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5502249
求助须知:如何正确求助?哪些是违规求助? 4598249
关于积分的说明 14463199
捐赠科研通 4531818
什么是DOI,文献DOI怎么找? 2483625
邀请新用户注册赠送积分活动 1466915
关于科研通互助平台的介绍 1439528