Microbial carbon limitation: The need for integrating microorganisms into our understanding of ecosystem carbon cycling

生态系统 自养 环境科学 营养循环 营养物 异养 碳循环 生态学 生产力 陆地生态系统 生物 遗传学 宏观经济学 经济 细菌
作者
Jennifer L. Soong,Lucia Fuchslueger,Sara Marañón‐Jiménez,Margaret Torn,Ivan A. Janssens,Josep Peñuelas,Andreas Richter
出处
期刊:Global Change Biology [Wiley]
卷期号:26 (4): 1953-1961 被引量:344
标识
DOI:10.1111/gcb.14962
摘要

Abstract Numerous studies have demonstrated that fertilization with nutrients such as nitrogen, phosphorus, and potassium increases plant productivity in both natural and managed ecosystems, demonstrating that primary productivity is nutrient limited in most terrestrial ecosystems. In contrast, it has been demonstrated that heterotrophic microbial communities in soil are primarily limited by organic carbon or energy. While this concept of contrasting limitations, that is, microbial carbon and plant nutrient limitation, is based on strong evidence that we review in this paper, it is often ignored in discussions of ecosystem response to global environment changes. The plant‐centric perspective has equated plant nutrient limitations with those of whole ecosystems, thereby ignoring the important role of the heterotrophs responsible for soil decomposition in driving ecosystem carbon storage. To truly integrate carbon and nutrient cycles in ecosystem science, we must account for the fact that while plant productivity may be nutrient limited, the secondary productivity by heterotrophic communities is inherently carbon limited. Ecosystem carbon cycling integrates the independent physiological responses of its individual components, as well as tightly coupled exchanges between autotrophs and heterotrophs. To the extent that the interacting autotrophic and heterotrophic processes are controlled by organisms that are limited by nutrient versus carbon accessibility, respectively, we propose that ecosystems by definition cannot be ‘limited’ by nutrients or carbon alone. Here, we outline how models aimed at predicting non‐steady state ecosystem responses over time can benefit from dissecting ecosystems into the organismal components and their inherent limitations to better represent plant–microbe interactions in coupled carbon and nutrient models.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
yesss完成签到 ,获得积分10
1秒前
大个应助黎初采纳,获得10
1秒前
白真帅完成签到,获得积分10
2秒前
我是老大应助栗子糕采纳,获得10
3秒前
3秒前
3秒前
5秒前
白真帅发布了新的文献求助10
5秒前
6秒前
长孙曼香完成签到,获得积分10
6秒前
从容芮应助酒石酸采纳,获得10
7秒前
7秒前
大个应助老仙女采纳,获得10
9秒前
QSY发布了新的文献求助10
10秒前
传奇3应助w王王采纳,获得10
11秒前
13秒前
Miya发布了新的文献求助10
14秒前
15秒前
Owen应助超级忆灵采纳,获得10
15秒前
15秒前
肚皮完成签到 ,获得积分10
16秒前
完美世界应助orange9采纳,获得10
16秒前
紫色翡翠完成签到,获得积分10
17秒前
taotao发布了新的文献求助10
17秒前
duang发布了新的文献求助30
18秒前
彦君发布了新的文献求助10
18秒前
JlkD发布了新的文献求助10
18秒前
19秒前
20秒前
岱羲发布了新的文献求助10
20秒前
刘成财发布了新的文献求助10
20秒前
慕青应助单纯的雅香采纳,获得10
21秒前
Akim应助布洛芬采纳,获得10
22秒前
水星完成签到,获得积分10
22秒前
23秒前
洋芋完成签到 ,获得积分20
23秒前
爆米花应助彦君采纳,获得10
24秒前
王毅发布了新的文献求助10
24秒前
英俊的铭应助s1lence采纳,获得10
26秒前
lyz发布了新的文献求助10
26秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3125565
求助须知:如何正确求助?哪些是违规求助? 2775869
关于积分的说明 7728200
捐赠科研通 2431356
什么是DOI,文献DOI怎么找? 1291928
科研通“疑难数据库(出版商)”最低求助积分说明 622278
版权声明 600376