Contrasting effects of ectomycorrhizal and arbuscular mycorrhizal tropical tree species on soil nitrogen cycling: the potential mechanisms and corresponding adaptive strategies

自行车 矿化(土壤科学) 氮气循环 根际 外生菌根 植物凋落物 生物 农学 硝化作用 土壤水分 生态学 生态系统 菌根 氮气 共生 化学 林业 地理 遗传学 有机化学 细菌
作者
Guigang Lin,Dali Guo,Liang Li,Chengen Ma,De‐Hui Zeng
出处
期刊:Oikos [Wiley]
卷期号:127 (4): 518-530 被引量:51
标识
DOI:10.1111/oik.04751
摘要

While it is increasingly recognized that ectomycorrhizal (ECM) and arbuscular mycorrhizal (AM) tree species vary in their effects on soil nitrogen (N) cycling, little is known about the mechanisms causing and how ECM and AM trees adapt to this variation. Using monoculture plots of six ECM and eight AM tropical trees planted in a common garden, we examined whether the contrasting effects of ECM and AM trees on soil N cycling could be explained by their differences in plant traits. Furthermore, rhizosphere effects on soil N transformations and soil exploration by fine roots were also measured to assess whether ECM and AM trees differed in N acquisition capacities. Results showed that soil NH 4 + ‐N concentration, net N mineralization and net nitrification rates were markedly lower, but soil C:N ratio was significantly higher beneath ECM trees than beneath AM trees. This more closed N cycling caused by ECM trees was attributed to their resource‐conservative traits, especially the poorer leaf litter decomposability compared with AM trees. To adapt to their induced lower soil N availability, ECM trees were found to have greater rhizosphere effects on NO 3 ‐ ‐N concentration, net N mineralization and net nitrification rates to mine N, and higher soil exploration in terms of root length density to scavenge N from soils, indicating that these two strategies work in synergy to meet N demand of ECM trees. These findings suggest that ECM and AM trees have contrasting effects on soil N cycling owing to their differences in leaf litter decomposability and correspondingly possess different N acquisition capacities.
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
研友_VZG7GZ应助醉熏的天薇采纳,获得10
1秒前
1秒前
2秒前
丝垚完成签到 ,获得积分10
2秒前
rickyyy发布了新的文献求助20
3秒前
思源应助科研通管家采纳,获得10
3秒前
4秒前
小蘑菇应助科研通管家采纳,获得30
4秒前
研友_VZG7GZ应助科研通管家采纳,获得10
4秒前
传奇3应助海螺采纳,获得10
4秒前
小马甲应助科研通管家采纳,获得10
4秒前
小二郎应助科研通管家采纳,获得10
4秒前
4秒前
5秒前
5秒前
青瑜完成签到,获得积分10
5秒前
Severan发布了新的文献求助10
6秒前
YDSG发布了新的文献求助10
6秒前
7秒前
7秒前
KYG发布了新的文献求助10
7秒前
LSH970829完成签到,获得积分10
8秒前
赘婿应助KD采纳,获得10
8秒前
QL发布了新的文献求助10
9秒前
清秀苗条完成签到,获得积分10
9秒前
10秒前
rickyyy完成签到,获得积分10
10秒前
12秒前
景景好发布了新的文献求助10
12秒前
李健应助坚定自信采纳,获得10
13秒前
15秒前
xingyue完成签到,获得积分10
16秒前
16秒前
俊鱼完成签到,获得积分10
16秒前
风乎舞雩完成签到 ,获得积分10
16秒前
科研通AI5应助面包边采纳,获得10
17秒前
17秒前
QL完成签到,获得积分10
17秒前
无花果应助孙涛采纳,获得10
18秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Limes XXIII Sonderband 4 / II Proceedings of the 23rd International Congress of Roman Frontier Studies Ingolstadt 2015 200
Fatigue of Materials and Structures 200
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3829606
求助须知:如何正确求助?哪些是违规求助? 3372234
关于积分的说明 10471156
捐赠科研通 3091719
什么是DOI,文献DOI怎么找? 1701424
邀请新用户注册赠送积分活动 818380
科研通“疑难数据库(出版商)”最低求助积分说明 770853