Global annual soil respiration in relation to climate, soil properties and vegetation characteristics: Summary of available data

2014 ◽  
Vol 198-199 ◽  
pp. 335-346 ◽  
Author(s):  
Shutao Chen ◽  
Jianwen Zou ◽  
Zhenghua Hu ◽  
Haishan Chen ◽  
Yanyu Lu
1995 ◽  
Vol 59 (5) ◽  
pp. 1430-1435 ◽  
Author(s):  
M. A. Liebig ◽  
A. J. Jones ◽  
J. W. Doran ◽  
L. N. Mielke

2010 ◽  
Vol 150 (4) ◽  
pp. 590-605 ◽  
Author(s):  
Shutao Chen ◽  
Yao Huang ◽  
Jianwen Zou ◽  
Qirong Shen ◽  
Zhenghua Hu ◽  
...  

2018 ◽  
Author(s):  
Lorenzo Menichetti ◽  
Alberto Tonda

Genetic Programming is a powerful optimization technique, able to deliver high-quality results in several real-world problems. One of its most successful applications is symbolic regression, where the objective is to find a suitable expression to model the underlying relationship between data points, with no aprioristic assumptions. In this paper, we propose the application of a Genetic Programming technique to a dataset on soil respiration and soil properties, in order to investigate possible influences of soil properties on soil respiration through symbolic regression. The best candidate models obtained by the technique are then studied to determine possible differences in the relationships related to environmental factors. Recurring patterns in the best solutions proposed by the search algorithm are identified, and the suitability of symbolic regression in soil science is evaluated and discussed. Genetic Programming proves to be an extremely promising data mining technique for soil scientists, as it is able to uncover relationships that could otherwise remain hidden, while remaining completely neutral and bias-free. We suggest its application for routine data analysis, as the technique presents particular interest for environmental modeling and development of pedotransfer functions.


2011 ◽  
Vol 8 (1) ◽  
pp. 1059-1091 ◽  
Author(s):  
E. Samaritani ◽  
J. Shrestha ◽  
B. Fournier ◽  
E. Frossard ◽  
F. Gillet ◽  
...  

Abstract. Due to their spatial complexity and dynamic nature, floodplains provide a wide range of ecosystem functions. However, because of flow regulation, many riverine floodplains have lost their characteristic heterogeneity. Restoration of floodplain habitats and the rehabilitation of key ecosystem functions has therefore become a major goal of environmental policy. Many important ecosystem functions are linked to organic carbon (C) dynamics in riparian soils. The fundamental understanding of the factors that drive the processes involved in C cycling in heterogeneous and dynamic systems such as floodplains is however only fragmentary. We quantified soil organic C pools (microbial C and water extractable organic C) and fluxes (soil respiration and net methane production) in functional process zones of adjacent channelized and widened sections of the Thur River, NE Switzerland, on a seasonal basis. The objective was to assess how spatial heterogeneity and temporal variability of these pools and fluxes relate to physicochemical soil properties on one hand, and to soil environmental conditions and flood disturbance on the other hand. Overall, factors related to seasonality and flooding (temperature, water content, organic matter input) affected soil C dynamics more than soil properties did. Coarse-textured soils on gravel bars in the restored section were characterized by low base-levels of organic C pools due to low TOC contents. However, frequent disturbance by flood pulses led to high heterogeneity with temporarily and locally increased pools and soil respiration. By contrast, in stable riparian forests, the finer texture of the soils and corresponding higher TOC contents and water retention capacity led to high base-levels of C pools. Spatial heterogeneity was low, but major floods and seasonal differences in temperature had additional impacts on both pools and fluxes. Soil properties and base levels of C pools in the dam foreland of the channelized section were similar to the gravel bars of the restored section. By contrast, spatial heterogeneity, seasonal effects and flood disturbance were similar to the forests, except for indications of high CH4 production that are explained by long travel times of infiltrating water favouring reducing conditions. Overall, the restored section exhibited both a larger range and a higher heterogeneity of organic C pools and fluxes as well as a higher plant biodiversity than the channelized section. This suggests that restoration has indeed led to an increase in functional diversity.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 258 ◽  
Author(s):  
Bence Mátyás ◽  
Maritza Elizabeth Chiluisa Andrade ◽  
Nora Carmen Yandun Chida ◽  
Carina Maribel Taipe Velasco ◽  
Denisse Estefania Gavilanes Morales ◽  
...  

Soil management has great potential to affect soil respiration. In this study, we investigated the effects of organic versus conventional soil management on soil respiration.  We measured the main soil physical-chemical properties from conventional and organic managed soil in Ecuador. Soil respiration was determined using alkaline absorption according to Witkamp.  Soil properties such as organic matter, nitrogen, and humidity, were comparable between conventional and organic soils in the present study, and in a further analysis there was no statically significant correlation with soil respiration. Therefore, even though organic farmers tend to apply more organic material to their fields, but this did not result in a significantly higher CO2 production in their soils in the present study.


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