scholarly journals No-till permanent meadow promotes soil carbon sequestration and nitrogen use efficiency at the expense of productivity

Author(s):  
Fabio Castelli ◽  
Enrico Ceotto ◽  
Lamberto Borrelli ◽  
Giovanni Cabassi ◽  
Anna Moschella ◽  
...  
2011 ◽  
Vol 75 (6) ◽  
pp. 2251-2261 ◽  
Author(s):  
Ram C. Dalal ◽  
Weijin Wang ◽  
Diane E. Allen ◽  
Steven Reeves ◽  
Neal W. Menzies

PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0164234 ◽  
Author(s):  
Hazzar Habbib ◽  
Julien Verzeaux ◽  
Elodie Nivelle ◽  
David Roger ◽  
Jérôme Lacoux ◽  
...  

2017 ◽  
Vol 37 (8) ◽  
Author(s):  
顾峰雪 GU Fengxue ◽  
黄玫 HUANG Mei ◽  
张远东 ZHANG Yuandong ◽  
李洁 LI Jie ◽  
郭瑞 GUO Rui ◽  
...  

2003 ◽  
Vol 11 (3) ◽  
pp. 161-192 ◽  
Author(s):  
Ole Hendrickson

Global change — including warmer temperatures, higher CO2 concentrations, increased nitrogen deposition, increased frequency of extreme weather events, and land use change — affects soil carbon inputs (plant litter), and carbon outputs (decomposition). Warmer temperatures tend to increase both plant litter inputs and decomposition rates, making the net effect on soil carbon sequestration uncertain. Rising atmospheric carbon dioxide levels may be partly offset by rising soil carbon levels, but this is the subject of considerable interest, controversy, and uncertainty. Current land use changes have a net negative impact on soil carbon. Desertification and erosion associated with overgrazing and excess fuelwood harvesting, conversion of natural ecosystems into cropland and pasture land, and agricultural intensification are causing losses of soil carbon. Losses increase in proportion to the severity and duration of damage to root systems. Strategic landscape-level deployment of plants through agroforestry systems and riparian plantings may represent an efficient way to rebuild total ecosystem carbon, while also stabilizing soils and hydrologic regimes, and enhancing biodiversity. Many options exist for increasing carbon sequestration on croplands while maintaining or increasing production. These include no-till farming, additions of nitrogen fertilizers and manure, and irrigation and paddy culture. Article 3.4 of the Kyoto Protocol has stimulated intense interest in accounting for land use change impacts on soil carbon stocks. Most Annex I parties are attempting to estimate the potential for increased agricultural soil carbon sequestration to partly offset their growing fossil fuel greenhouse gas emissions. However, this will require demonstrating and verifying carbon stock changes, and raises an issue of how stringent a definition of verification will be adopted by parties. Soil carbon levels and carbon sequestration potential vary widely across landscapes. Wetlands contain extremely important reservoirs of soil carbon in the form of peat. Clay and silt soils have higher carbon stocks than sandy soils, and show a greater and more prolonged response to carbon sequestration measures such as afforestation. Increased knowledge of soil organisms and their activities can improve our understanding of how soil carbon will respond to global change. New techniques using soil organic matter fractionation and stable C isotopes are also making major contributions to our understanding of this topic. Key words: climate change, carbon dioxide (CO2), nitrogen, soil respiration, land use change, plant roots, afforestation, no-till.


2012 ◽  
Vol 5 (4) ◽  
pp. 866-875 ◽  
Author(s):  
Ronald F. Follett ◽  
Kenneth P. Vogel ◽  
Gary E. Varvel ◽  
Robert B. Mitchell ◽  
John Kimble

2020 ◽  
Author(s):  
Yiqi Luo ◽  
Feng Tao ◽  
Xiaomeng Huang

<p>It has long been known that processes that determine soil carbon dynamics are spatially heterogeneous. However, the spatially heterogeneous mechanisms have not been well characterized nor incorporated into Earth system models for predicting soil carbon sequestration in response to climate change. This presentation shows our recent results from an integrated approach that combines deep learning, data assimilation, big data with >100,000 vertical soil organic carbon (SOC) profiles worldwide, and the Community Land Model version 5 (CLM5) to optimize the model representation of SOC over the world. Our results indicate that CLM5 that is trained by >100,000 data via data assimilation alone is constrained with spatially homogeneous parameter values over the globe. However, CLM5 that is not only trained by data assimilation but also optimized by deep learning from the big data is constrained with spatially heterogeneous parameter values. Our further analysis suggests that those parameters representing microbial carbon use efficiency greatly vary across space. The spatial heterogeneity in carbon use efficiency is caused by interactions of edaphic, climate and vegetation factors. When the spatially heterogenous parameterization is applied to simulation over time with temporal variation, CLM5 predicts substantial carbon sequestration under climate change. In contrast, CLM5 with the spatially homogeneous parameters predicts carbon loss. Our study demonstrates the importance to uncover and represent spatially heterogeneous mechanisms underlying soil carbon sequestration in order to realistically predict SOC dynamics in the future.</p>


Sign in / Sign up

Export Citation Format

Share Document