Spatial characteristics of nitrogen forms in a large degenerating lake: Its relationship with dissolved organic matter and microbial community

腐殖质 有机质 氮气 溶解有机碳 环境化学 生态学 环境科学 空间分布 微生物 微生物种群生物学 生物 化学 地质学 细菌 遗传学 遥感 土壤水分 有机化学
作者
Lu Zhang,Yongjiu Liu,Fangjie Ge,Peng Xue,Xia Li,Xinyi Zhang,Shuxian Zhang,Qiaohong Zhou,Zhenbin Wu,Biyun Liu
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:371: 133617-133617 被引量:23
标识
DOI:10.1016/j.jclepro.2022.133617
摘要

It is crucial to clarifying the interactions among nitrogen, dissolved organic matter, and microorganisms to understand the ecological response mechanisms of degenerating large shallow lakes. This study focused on the spatial patterns of several nitrogen forms in Honghu Lake (Hubei province, China) in combination with the sediment physical and chemical properties. The dissolved organic matter (DOM) composition, the humification degree and the bacterial and eukaryotic communities responses were analyzed. The results showed that the spatial distribution of nitrogen was related to the particle size composition. The maximum mean value of total nitrogen appeared in the southwest region (4813.77 mg kg−1). DOM was mainly composed of humic-like substances, with a high degree of humification at the entrance of the inflowing lake (projection value peaked at 2.22). Structural equation model analysis also showed that the direct and indirect effects of the microenvironment physical and chemical properties and nitrogen and DOM jointly explained the changes in bacterial community diversity. However, there were no similar spatial distribution characteristics between eukaryotes and environmental parameters, suggesting a single, irregular dominant species and a low level of diversity. This suggests an internal ecological response of nitrogen, DOM, and microorganisms in the degenerating lake environment.
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
烟花应助swagger采纳,获得10
1秒前
寒冷丹雪发布了新的文献求助10
1秒前
2秒前
星辰大海应助小巧初柔采纳,获得10
4秒前
霡霂发布了新的文献求助10
5秒前
5秒前
5秒前
9秒前
10秒前
小羊羊发布了新的文献求助10
11秒前
12秒前
亦久发布了新的文献求助30
13秒前
swagger发布了新的文献求助10
13秒前
14秒前
Jason举报1111求助涉嫌违规
15秒前
Firenze发布了新的文献求助10
15秒前
虚拟的纸鹤完成签到 ,获得积分10
15秒前
务实冷风发布了新的文献求助50
17秒前
19秒前
完美世界应助Firenze采纳,获得10
19秒前
小巧初柔发布了新的文献求助10
20秒前
张正完成签到,获得积分10
20秒前
丘比特应助研友_ZG4ml8采纳,获得10
21秒前
大卷完成签到,获得积分10
21秒前
科研完成签到,获得积分10
22秒前
我最喜欢读论文了完成签到 ,获得积分10
22秒前
Superman完成签到 ,获得积分10
23秒前
kenchilie完成签到 ,获得积分10
25秒前
26秒前
TIANRU发布了新的文献求助10
26秒前
渊崖曙春完成签到,获得积分10
27秒前
27秒前
xt_489完成签到,获得积分10
27秒前
务实冷风完成签到,获得积分10
29秒前
zho关闭了zho文献求助
30秒前
hony发布了新的文献求助10
31秒前
南吕十八发布了新的文献求助10
31秒前
34秒前
Vicky发布了新的文献求助10
34秒前
小巧初柔完成签到,获得积分20
35秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Population Genetics 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3493286
求助须知:如何正确求助?哪些是违规求助? 3079172
关于积分的说明 9158418
捐赠科研通 2771905
什么是DOI,文献DOI怎么找? 1521249
邀请新用户注册赠送积分活动 705040
科研通“疑难数据库(出版商)”最低求助积分说明 702656