scholarly journals Effects of arbuscular mycorrhizae on tomato yield, nutrient uptake, water relations, and soil carbon dynamics under deficit irrigation in field conditions

2016 ◽  
Vol 566-567 ◽  
pp. 1223-1234 ◽  
Author(s):  
Timothy M. Bowles ◽  
Felipe H. Barrios-Masias ◽  
Eli A. Carlisle ◽  
Timothy R. Cavagnaro ◽  
Louise E. Jackson
Keyword(s):  
Soil Carbon ◽  
Nutrient Uptake ◽  
Water Relations ◽  
Deficit Irrigation ◽  
Arbuscular Mycorrhizae ◽  
Carbon Dynamics ◽  
Field Conditions ◽  
Soil Carbon Dynamics ◽  
Tomato Yield

Soil carbon dynamics in Brazilian atlantic forest converted into pasture‐based dairy production systems

2020 ◽  
Author(s):  
Patricia Perondi Anchão Oliveira ◽  
Paulo Henrique Mazza Rodrigues ◽  
Maria Fernanda Ferreira Menegucci Praes ◽  
André Faria Pedroso ◽  
Bia Anchão Oliveira ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Atlantic Forest ◽  
Production Systems ◽  
Carbon Dynamics ◽  
Dairy Production ◽  
Brazilian Atlantic Forest ◽  
Soil Carbon Dynamics

Accounting for space and time in soil carbon dynamics in timbered rangelands

2012 ◽  
Vol 38 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Christopher Dean ◽  
Stephen H. Roxburgh ◽  
Richard J. Harper ◽  
David J. Eldridge ◽  
Ian W. Watson ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Carbon Dynamics ◽  
Soil Carbon Dynamics ◽  
Space And Time

scholarly journals The changing global carbon cycle: linking plant-soil carbon dynamics to global consequences

2009 ◽  
Vol 97 (5) ◽  
pp. 840-850 ◽  
Author(s):  
F. Stuart Chapin III ◽  
Jack McFarland ◽  
A. David McGuire ◽  
Eugenie S. Euskirchen ◽  
Roger W. Ruess ◽  
...  
Keyword(s):  
Carbon Cycle ◽  
Soil Carbon ◽  
Carbon Dynamics ◽  
Global Carbon Cycle ◽  
Soil Carbon Dynamics ◽  
Plant Soil ◽  
Global Carbon

Soil carbon dynamics in Canadian Agricultural Ecoregions: Quantifying climatic influence on soil biological activity

2007 ◽  
Vol 122 (4) ◽  
pp. 461-470 ◽  
Author(s):  
M.A. Bolinder ◽  
O. Andrén ◽  
T. Kätterer ◽  
R. de Jong ◽  
A.J. VandenBygaart ◽  
...  
Keyword(s):  
Biological Activity ◽  
Soil Carbon ◽  
Carbon Dynamics ◽  
Soil Biological Activity ◽  
Climatic Influence ◽  
Soil Carbon Dynamics

scholarly journals Predicting decadal trends and transient responses of radiocarbon storage and fluxes in a temperate forest soil

2012 ◽  
Vol 9 (8) ◽  
pp. 3013-3028 ◽  
Author(s):  
C. A. Sierra ◽  
S. E. Trumbore ◽  
E. A. Davidson ◽  
S. D. Frey ◽  
K. E. Savage ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Carbon ◽  
Empirical Model ◽  
Temperate Forest ◽  
Global Environmental Change ◽  
Carbon Dynamics ◽  
Co2 Efflux ◽  
Soil C ◽  
Soil Carbon Dynamics

Abstract. Representing the response of soil carbon dynamics to global environmental change requires the incorporation of multiple tools in the development of predictive models. An important tool to construct and test models is the incorporation of bomb radiocarbon in soil organic matter during the past decades. In this manuscript, we combined radiocarbon data and a previously developed empirical model to explore decade-scale soil carbon dynamics in a temperate forest ecosystem at the Harvard Forest, Massachusetts, USA. We evaluated the contribution of different soil C fractions to both total soil CO2 efflux and microbially respired C. We tested the performance of the model based on measurable soil organic matter fractions against a decade of radiocarbon measurements. The model was then challenged with radiocarbon measurements from a warming and N addition experiment to test multiple hypotheses about the different response of soil C fractions to the experimental manipulations. Our results showed that the empirical model satisfactorily predicts the trends of radiocarbon in litter, density fractions, and respired CO2 observed over a decade in the soils not subjected to manipulation. However, the model, modified with prescribed relationships for temperature and decomposition rates, predicted most but not all the observations from the field experiment where soil temperatures and nitrogen levels were increased, suggesting that a larger degree of complexity and mechanistic relations need to be added to the model to predict short-term responses and transient dynamics.

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