Intercontinental comparison of greenhouse gas emissions from irrigated rice fields under feasible water management practices: Brazil and Japan

<p>Rice cultivation has high water consumption and emits large quantities of greenhouse gases. Therefore, rice fields provide great potential to mitigate GHG emissions by modifications to cultivation practices or external inputs. Previous studies showed differences for impacts of alternated wetting and drying (AWD) practices for above-ground and below-ground biomass, which might have long term impacts on soil organic carbon stocks. The objective of this study is to parameterise and evaluate the model ECOSSE for rice simulations based on data from an Italian rice test site where the effects of different water management practices and 12 common European cultivars, on yield and GHG emissions, were investigated. Special focus is on the differences of the impacts on the greenhouse gas emissions for AWD and continuous flooding (CF). The model is calibrated and tested for field measurements and is used for model experiments to explore climate change impacts and long-term effects. Long term carbon storage is of particular interest since it is a suitable mitigation strategy. As experiments showed different impacts of management practices on the below ground biomass, long term model experiments are used to estimate impacts on SOC of the different practices. The measurements also allow an analysis of the impacts of different cultivars and the uncertainty of model approaches using a single data set for calibration.</p>

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Seasonal assessment of greenhouse gas emissions from irrigated lowland rice fields under infrared warming

Agriculture Ecosystems & Environment ◽

10.1016/j.agee.2013.11.024 ◽

2014 ◽

Vol 184 ◽

pp. 88-100 ◽

Cited By ~ 18

Author(s):

Yam Kanta Gaihre ◽

Reiner Wassmann ◽

Agnes Tirol-Padre ◽

Gina Villegas-Pangga ◽

Eugenio Aquino ◽

...

Keyword(s):

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Rice Fields ◽

Lowland Rice ◽

Gas Emissions

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The effective water management practice for mitigating greenhouse gas emissions and maintaining rice yield in central Japan

Agriculture Ecosystems & Environment ◽

10.1016/j.agee.2014.01.015 ◽

2014 ◽

Vol 186 ◽

pp. 77-85 ◽

Cited By ~ 37

Author(s):

Yusuke Kudo ◽

Kosuke Noborio ◽

Naoto Shimoozono ◽

Ryuki Kurihara

Keyword(s):

Water Management ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Rice Yield ◽

Management Practice ◽

Central Japan ◽

Gas Emissions ◽

Water Management Practice ◽

Effective Water

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Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage)

10.5194/gmd-2018-255 ◽

2018 ◽

Author(s):

Femke Lutz ◽

Tobias Herzfeld ◽

Jens Heinke ◽

Susanne Rolinski ◽

Sibyll Schaphoff ◽

...

Keyword(s):

Soil Properties ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Management Practices ◽

Ecosystem Model ◽

Environmental Indicators ◽

Regional Patterns ◽

Gas Emissions ◽

No Till ◽

The Impact

Abstract. The effects of tillage on soil properties (e.g. soil carbon and nitrogen), crop productivity, and global greenhouse gas emissions have been discussed in the last decades. Global ecosystem models are limited in simulating tillage. Hence, they do not allow for analyzing the effects of tillage and cannot evaluate, for example, reduced-tillage or no-till as mitigation practices for climate change. In this paper, we describe the implementation of tillage related practices in the global ecosystem model LPJmL. The model is subsequently evaluated against reported differences between tillage and no-till management on several soil properties. To this end, simulation results are compared with published meta-analysis on tillage effects. In general, the model is able to reproduce observed tillage effects on global, as well as regional patterns of carbon and water fluxes. However, modeled N-fluxes deviate from the literature and need further study. The addition of the tillage module to LPJmL 5.0 opens opportunities to assess the impact of agricultural soil management practices under different scenarios with implications for agricultural productivity, carbon sequestration, greenhouse gas emissions and other environmental indicators.

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