No-tillage effects on soil CH4 fluxes: A meta-analysis

2021 ◽  
Vol 212 ◽  
pp. 105042
Author(s):  
Carmelo Maucieri ◽  
Massimo Tolomio ◽  
Marshall D. McDaniel ◽  
Yaojun Zhang ◽  
Javad Robatjazi ◽  
...  
Keyword(s):  
Meta Analysis ◽  
No Tillage

Occasional tillage in no-tillage systems: A global meta-analysis

2020 ◽  
Vol 745 ◽  
pp. 140887 ◽  
Author(s):  
Devison Souza Peixoto ◽  
Lucas de Castro Moreira da Silva ◽  
Laura Beatriz Batista de Melo ◽  
Raphael Passaglia Azevedo ◽  
Brunno Cassiano Lemos Araújo ◽  
...  
Keyword(s):  
Meta Analysis ◽  
No Tillage ◽  
Tillage Systems

A global meta‐analysis of the impacts of no‐tillage on soil aggregation and aggregate‐associated organic carbon

2021 ◽  
Author(s):  
Xiaotong Liu ◽  
Xueping Wu ◽  
Guopeng Liang ◽  
Fengjun Zheng ◽  
Mengni Zhang ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Meta Analysis ◽  
Soil Aggregation ◽  
No Tillage

scholarly journals Greenhouse gas emissions and crop yield in no-tillage systems: A meta-analysis

2018 ◽  
Vol 268 ◽  
pp. 144-153 ◽  
Author(s):  
Yawen Huang ◽  
Wei Ren ◽  
Lixin Wang ◽  
Dafeng Hui ◽  
John H. Grove ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Crop Yield ◽  
Meta Analysis ◽  
No Tillage ◽  
Tillage Systems ◽  
Gas Emissions

Meta-analysis of no-tillage effect on wheat and maize water use efficiency in China

2018 ◽  
Vol 635 ◽  
pp. 1372-1382 ◽  
Author(s):  
Yunqi Wang ◽  
Yinghua Zhang ◽  
Shunli Zhou ◽  
Zhimin Wang
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Meta Analysis ◽  
No Tillage ◽  
Use Efficiency

scholarly journals The importance of management information and soil moisture representation for simulating tillage effects on N<sub>2</sub>O emissions in LPJmL5.0-tillage

2020 ◽  
Author(s):  
Femke Lutz ◽  
Stephen DelGrosso ◽  
Stephen Ogle ◽  
Stephen Williams ◽  
Sara Minoli ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Meta Analysis ◽  
Agricultural Management ◽  
Water Dynamics ◽  
N2o Emissions ◽  
No Tillage ◽  
Emissions Modeling ◽  
The Usa ◽  
Global Estimates

Abstract. No-tillage is often suggested as a strategy to reduce greenhouse gas emissions. Modeling tillage effects on nitrous oxide (N2O) emissions is challenging and subject to large uncertainties, as the processes producing the emissions are complex and strongly non-linear. Previous findings have shown deviations between the LPJmL5.0-tillage model and results from meta-analysis on global estimates of tillage effects on N2O emissions. Here we tested LPJmL5.0-tillage at four different experimental sites across Europe and the USA, to verify whether deviations in N2O emissions under different tillage regimes result from a lack of detailed information on agricultural management and/or the representation of soil water dynamics. Model results were compared to observational data and outputs from field-scale DayCent simulations. DayCent has been successfully applied for the simulation of N2O emissions and provides a richer data base for comparison than non-continuous measurements at the experimental sites. We found that adding information on agricultural management improved the simulation of tillage effects on N2O emissions in LPJmL. We also found that LPJmL overestimated N2O emissions as well as the effects of no-tillage on N2O emissions, whereas DayCent tended to underestimate the emissions of no-tillage treatments. LPJmL showed a general bias to over-estimate soil moisture content. Modifications of hydraulic properties in LPJmL in order to match properties assumed in DayCent, as well as of the parameters related to residue cover, improved the overall simulation of soil water as well as the N2O emissions simulated under tillage and no-tillage separately. However, the effects of no-tillage (shifting from tillage to no-tillage) did not improve. Advancing the current state of information on agricultural management as well as improvements in soil moisture highlight the potential to improve LPJmL5.0-tillage and global estimates of tillage effects on N2O emissions.

scholarly journals The importance of management information and soil moisture representation for simulating tillage effects on N<sub>2</sub>O emissions in LPJmL5.0-tillage

2020 ◽  
Vol 13 (9) ◽  
pp. 3905-3923
Author(s):  
Femke Lutz ◽  
Stephen Del Grosso ◽  
Stephen Ogle ◽  
Stephen Williams ◽  
Sara Minoli ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Meta Analysis ◽  
Agricultural Management ◽  
Water Dynamics ◽  
N2o Emissions ◽  
No Tillage ◽  
The Usa ◽  
Global Estimates ◽  
Daycent Model

Abstract. No-tillage is often suggested as a strategy to reduce greenhouse gas emissions. Modeling tillage effects on nitrous oxide (N2O) emissions is challenging and subject to great uncertainties as the processes producing the emissions are complex and strongly nonlinear. Previous findings have shown deviations between the LPJmL5.0-tillage model (LPJmL: Lund–Potsdam–Jena managed Land) and results from meta-analysis on global estimates of tillage effects on N2O emissions. Here we tested LPJmL5.0-tillage at four different experimental sites across Europe and the USA to verify whether deviations in N2O emissions under different tillage regimes result from a lack of detailed information on agricultural management, the representation of soil water dynamics or both. Model results were compared to observational data and outputs from field-scale DayCent model simulations. DayCent has been successfully applied for the simulation of N2O emissions and provides a richer database for comparison than noncontinuous measurements at experimental sites. We found that adding information on agricultural management improved the simulation of tillage effects on N2O emissions in LPJmL. We also found that LPJmL overestimated N2O emissions and the effects of no-tillage on N2O emissions, whereas DayCent tended to underestimate the emissions of no-tillage treatments. LPJmL showed a general bias to overestimate soil moisture content. Modifications of hydraulic properties in LPJmL in order to match properties assumed in DayCent, as well as of the parameters related to residue cover, improved the overall simulation of soil water and N2O emissions simulated under tillage and no-tillage separately. However, the effects of no-tillage (shifting from tillage to no-tillage) did not improve. Advancing the current state of information on agricultural management and improvements in soil moisture highlights the potential to improve LPJmL5.0-tillage and global estimates of tillage effects on N2O emissions.

Effects of nitrogen fertilization on yield and nitrogen-use efficiency of durum wheat in Tunisia: a meta-analysis

2020 ◽  
Author(s):  
Amir Souissi ◽  
Haithem Bahri ◽  
Hatem Cheikh M’hamed ◽  
Mohamed Annabi
Keyword(s):  
Durum Wheat ◽  
Crop Residues ◽  
Meta Analysis ◽  
Experimental Studies ◽  
N Use Efficiency ◽  
No Tillage ◽  
Nitrogen Use ◽  
Bioclimatic Zone ◽  
Use Efficiency ◽  
N Use

&lt;p&gt;Durum wheat (&lt;em&gt;Triticum durum&lt;/em&gt; Desf.) is a crucial food crop and has occupied important areas in Tunisia. However, its production remains low and unstable even though the effort of intensification of this crop has been undertaken for many decades. Likewise, Nitrogen (N) is a major limiting input factor for the crop production. In this vein, the main objective of this meta-analysis is to quantify N-use efficiency of N-fertilizer (NUE) of durum wheat in Tunisia from published studies according to the type of crop management and bioclimatic zone. Nine hundred thirty-six observations (including grain yield and NUE as dependent variables) were extracted from 51 published studies, corresponding to trials conducted in rain-fed or irrigated, and conducted in conventional system or no-tillage. The results demonstrated that yields obtained within the experimental studies were below the cultivar potential yield, even at irrigated conditions. The grain yields obtained in no-tillage trials were lower (-26%) than those in conventional tillage ones. On the other hand, N-use efficiency was small and varied between 36 and 58 kg kg&lt;sup&gt;-1&lt;/sup&gt; N depending on the bioclimatic zone. Overall, the effect of irrigation on N-use efficiency was significantly positive (+16.4 kg kg&lt;sup&gt;-1&lt;/sup&gt; N; &lt;em&gt;p &lt;0.05&lt;/em&gt;) under conventional systems. Whereas NUE response to no-tillage was significantly negative (-12.1 kg kg&lt;sup&gt;-1&lt;/sup&gt; N; &lt;em&gt;p &lt;0.001&lt;/em&gt;) under rain-fed conditions. This latter is due mainly to the limitation of conservation agriculture (CA) in Tunisia to only no tillage practice and the negligence of the two other principles of CA namely crop rotations/species diversity, and soil cover by crop residues (at least 30% of the soil surface covered by crop residue at crop sowing). Therefore, enhancing N-use efficiency of durum wheat in Tunisia is paramount to increase production and avoid nitric pollution issues. This feature involves a best management of N-fertilization via synchronizing the timing and quantity of the nitrogen supply with the plant needs, and via using decision-making tools such as chlorophyll meter SPAD and GreenSeeker&lt;sup&gt;&amp;#174;&lt;/sup&gt;, in order to accomplish this synchronization. The nexus between water and nitrogen in the soil is essential since it has conditioned the nitrogen use by durum in Mediterranean conditions.&lt;/p&gt;

A global meta-analysis of greenhouse gases emission and crop yield under no-tillage as compared to conventional tillage

2021 ◽  
Vol 750 ◽  
pp. 142299 ◽  
Author(s):  
Awais Shakoor ◽  
Muhammad Shahbaz ◽  
Taimoor Hassan Farooq ◽  
Najam E. Sahar ◽  
Sher Muhammad Shahzad ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Crop Yield ◽  
Meta Analysis ◽  
Conventional Tillage ◽  
No Tillage

scholarly journals No-tillage lessens soil CO<sub>2</sub> emissions the most under arid and sandy soil conditions: results from a meta-analysis

2016 ◽  
Vol 13 (12) ◽  
pp. 3619-3633 ◽  
Author(s):  
Khatab Abdalla ◽  
Pauline Chivenge ◽  
Philippe Ciais ◽  
Vincent Chaplot
Keyword(s):  
Organic Carbon ◽  
Carbon Cycle ◽  
Carbon Content ◽  
Co2 Emissions ◽  
Meta Analysis ◽  
Soil Conditions ◽  
Organic Carbon Content ◽  
No Tillage ◽  
Soil Co2 ◽  
Soil Co2 Emissions

Abstract. The management of agroecosystems plays a crucial role in the global carbon cycle with soil tillage leading to known organic carbon redistributions within soils and changes in soil CO2 emissions. Yet, discrepancies exist on the impact of tillage on soil CO2 emissions and on the main soil and environmental controls. A meta-analysis was conducted using 46 peer-reviewed publications totaling 174 paired observations comparing CO2 emissions over entire seasons or years from tilled and untilled soils across different climates, crop types and soil conditions with the objective of quantifying tillage impact on CO2 emissions and assessing the main controls. On average, tilled soils emitted 21 % more CO2 than untilled soils, which corresponded to a significant difference at P<0.05. The difference increased to 29 % in sandy soils from arid climates with low soil organic carbon content (SOCC < 1 %) and low soil moisture, but tillage had no impact on CO2 fluxes in clayey soils with high background SOCC (> 3 %). Finally, nitrogen fertilization and crop residue management had little effect on the CO2 responses of soils to no-tillage. These results suggest no-tillage is an effective mitigation measure of carbon dioxide losses from dry land soils. They emphasize the importance of including information on soil factors such as texture, aggregate stability and organic carbon content in global models of the carbon cycle.

Sign in / Sign up

Export Citation Format

Share Document