Ecoenzymatic stoichiometry at the extremes: How microbes cope in an ultra-oligotrophic desert soil DOI
Yunuen Tapia‐Torres, James J. Elser, Valeria Souza

et al.

Soil Biology and Biochemistry, Journal Year: 2015, Volume and Issue: 87, P. 34 - 42

Published: May 2, 2015

Language: Английский

Soil Microbiology, Ecology, and Biochemistry DOI

Eldor A. Paul

Elsevier eBooks, Journal Year: 2014, Volume and Issue: unknown, P. 1 - 14

Published: Nov. 21, 2014

Language: Английский

Citations

1133

The application of ecological stoichiometry to plant–microbial–soil organic matter transformations DOI

Sophie Zechmeister‐Boltenstern,

Katharina Keiblinger, Maria Mooshammer

et al.

Ecological Monographs, Journal Year: 2015, Volume and Issue: 85(2), P. 133 - 155

Published: April 24, 2015

Elemental stoichiometry constitutes an inherent link between biogeochemistry and the structure processes within food webs, thus is at core of ecosystem functioning. Stoichiometry allows for spanning different levels biological organization, from cellular metabolism to nutrient cycling, therefore particularly useful establishing links compartments. We review elemental carbon : nitrogen phosphorus (C:N:P) ratios in terrestrial ecosystems (from vegetation, leaf litter, woody debris, dead roots, soil microbes organic matter). While plant, compartments well understood, heterotrophic microbial communities, which dominate web drive have received increasing interest recent years. This highlights effects resource on microorganisms decomposition, specifically function communities suggests several general patterns. First, latitudinal gradients litter are reflected community function. Second, may cause changes interactions dynamics that lead feedbacks availability. Third, global change alters C:N, C:P, N:P primary producers, with repercussions decomposer critical services such as fertility. argue ecological provides a framework analyze predict various scales.

Language: Английский

Citations

991

The ecology and biogeochemistry of stream biofilms DOI
Tom J. Battin,

Katharina Besemer,

Mia M. Bengtsson

et al.

Nature Reviews Microbiology, Journal Year: 2016, Volume and Issue: 14(4), P. 251 - 263

Published: March 14, 2016

Language: Английский

Citations

925

Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling DOI Open Access
Robert L. Sinsabaugh, Stefano Manzoni, Daryl Moorhead

et al.

Ecology Letters, Journal Year: 2013, Volume and Issue: 16(7), P. 930 - 939

Published: April 30, 2013

Abstract Carbon use efficiency ( CUE ) is a fundamental parameter for ecological models based on the physiology of microorganisms. determines energy and material flows to higher trophic levels, conversion plant‐produced carbon into microbial products rates ecosystem storage. Thermodynamic calculations support maximum value ~ 0.60 max ). Kinetic stoichiometric constraints growth suggest that in multi‐resource limited natural systems should approach 0.3 /2). However, mean values reported aquatic terrestrial ecosystems differ by twofold (~ 0.26 vs. 0.55) because methods used estimate generally soil estimates are less likely capture full maintenance costs community metabolism given difficulty measurements water‐limited environments. Moreover, many simulation lack adequate representation spilling pathways metabolism, which can also lead overestimates . We recommend broad‐scale 0.30, unless there evidence lower as result pervasive nutrient limitations. Ecosystem operating at finer scales consider resource composition, biomass well environmental drivers, predict communities.

Language: Английский

Citations

801

Soil extracellular enzyme activities, soil carbon and nitrogen storage under nitrogen fertilization: A meta-analysis DOI Creative Commons
Siyang Jian, Jianwei Li, Ji Chen

et al.

Soil Biology and Biochemistry, Journal Year: 2016, Volume and Issue: 101, P. 32 - 43

Published: July 8, 2016

Language: Английский

Citations

611

LDPE microplastic films alter microbial community composition and enzymatic activities in soil DOI
Yi Huang,

Yanran Zhao,

Jie Wang

et al.

Environmental Pollution, Journal Year: 2019, Volume and Issue: 254, P. 112983 - 112983

Published: July 30, 2019

Language: Английский

Citations

598

The nature and dynamics of soil organic matter: Plant inputs, microbial transformations, and organic matter stabilization DOI Creative Commons

Eldor A. Paul

Soil Biology and Biochemistry, Journal Year: 2016, Volume and Issue: 98, P. 109 - 126

Published: April 17, 2016

Language: Английский

Citations

589

Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics DOI
Daryl Moorhead, Robert L. Sinsabaugh, Brian H. Hill

et al.

Soil Biology and Biochemistry, Journal Year: 2015, Volume and Issue: 93, P. 1 - 7

Published: Nov. 7, 2015

Language: Английский

Citations

563

Ecoenzymatic stoichiometry of microbial nutrient acquisition in tropical soils DOI
Bonnie G. Waring, Samantha R. Weintraub, Robert L. Sinsabaugh

et al.

Biogeochemistry, Journal Year: 2013, Volume and Issue: 117(1), P. 101 - 113

Published: April 17, 2013

Language: Английский

Citations

443

Nitrogen limitation of decomposition and decay: How can it occur? DOI Creative Commons
Colin Averill, Bonnie G. Waring

Global Change Biology, Journal Year: 2017, Volume and Issue: 24(4), P. 1417 - 1427

Published: Nov. 9, 2017

The availability of nitrogen (N) is a critical control on the cycling and storage soil carbon (C). Yet, there are conflicting conceptual models to explain how N influences decomposition organic matter by microbial communities. Several lines evidence suggest that limits decomposition; earliest stages leaf litter decay associated with net import from environment, both observations show high decomposes more rapidly. In direct contrast these findings, experimental additions inorganic soils broadly suppression activity, which inconsistent limitation decomposition. Resolving this apparent contradiction representing nutrient dynamics in predictive ecosystem under multitude global change factors alter availability. Here, we propose new framework, Carbon, Acidity, Mineral Protection hypothesis, understand effects C explore predictions framework mathematical model. Our model simulations demonstrate addition can have opposing separate pools (particulate mineral-protected carbon) because they differentially affected biomass growth. Moreover, changes frequently linked shifts pH or osmotic stress, independently affect mask stimulation activity. Thus, effect dependent upon interactions among physiology, mineralogy, acidity. We believe our synthesis provides applicable predict change.

Language: Английский

Citations

395