Comparative effects of long-term conventional tillage and no-till systems on greenhouse gas emissions in continuous maize monoculture soil in a semi-arid temperate climate

2021 ◽  
Vol 14 (3) ◽  
Author(s):  
Shuai Jiao ◽  
Biao Sui ◽  
Hongbin Wang ◽  
Baoyu Chen ◽  
Thidaphone Xomphoutheb ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Conventional Tillage ◽  
Temperate Climate ◽  
Gas Emissions ◽  
No Till ◽  
Continuous Maize ◽  
Semi Arid

Yield-scaled greenhouse gas emissions from flood irrigated rice under long-term conventional tillage and no-till systems in a Humid Subtropical climate

2014 ◽  
Vol 162 ◽  
pp. 60-69 ◽  
Author(s):  
Cimélio Bayer ◽  
Falberni de Souza Costa ◽  
Gabriel Munhoz Pedroso ◽  
Tiago Zschornack ◽  
Estefania S. Camargo ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Conventional Tillage ◽  
Subtropical Climate ◽  
Irrigated Rice ◽  
Gas Emissions ◽  
No Till

Mulching Affects Soil Properties and Greenhouse Gas Emissions Under Long‐Term No‐Till and Plough‐Till Systems in Alfisol of Central Ohio

2016 ◽  
Vol 28 (2) ◽  
pp. 673-681 ◽  
Author(s):  
Ahmad Nawaz ◽  
Rattan Lal ◽  
Raj Kumar Shrestha ◽  
Muhammad Farooq
Keyword(s):  
Soil Properties ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
No Till

Low-Carbon Russia: Prospects after the Crisis

2009 ◽  
pp. 107-120 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Economic Growth ◽  
Potential Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Low Carbon ◽  
Modeling Tools ◽  
Gas Emissions ◽  
Scenario Approach

On the eve of the worldwide negotiations of a new climate agreement in December 2009 in Copenhagen it is important to clearly understand what Russia can do to mitigate energy-related greenhouse gas emissions in the medium (until 2020) and in the long term (until 2050). The paper investigates this issue using modeling tools and scenario approach. It concludes that transition to the "Low-Carbon Russia" scenarios must be accomplished in 2020—2030 or sooner, not only to mitigate emissions, but to block potential energy shortages and its costliness which can hinder economic growth.

scholarly journals Long-term greenhouse gas emissions from hydroelectric reservoirs in tropical forest regions

1999 ◽  
Vol 13 (2) ◽  
pp. 503-517 ◽  
Author(s):  
Corinne Galy-Lacaux ◽  
Robert Delmas ◽  
Georges Kouadio ◽  
Sandrine Richard ◽  
Philippe Gosse
Keyword(s):  
Tropical Forest ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
Hydroelectric Reservoirs ◽  
Forest Regions

scholarly journals Verification of greenhouse gas emission reductions: the prospect of atmospheric monitoring in polluted areas

2011 ◽  
Vol 369 (1943) ◽  
pp. 1906-1924 ◽  
Author(s):  
Ingeborg Levin ◽  
Samuel Hammer ◽  
Elke Eichelmann ◽  
Felix R. Vogel
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Catchment Area ◽  
Greenhouse Gas Emission ◽  
Atmospheric Transport ◽  
Atmospheric Measurements ◽  
Transport Modelling ◽  
Gas Emissions ◽  
Atmospheric Transport Modelling

Independent verification of greenhouse gas emissions reporting is a legal requirement of the Kyoto Protocol, which has not yet been fully accomplished. Here, we show that dedicated long-term atmospheric measurements of greenhouse gases, such as carbon dioxide (CO 2 ) and methane (CH 4 ), continuously conducted at polluted sites can provide the necessary tool for this undertaking. From our measurements at the semi-polluted Heidelberg site in the upper Rhine Valley, we find that in the catchment area CH 4 emissions decreased on average by 32±6% from the second half of the 1990s until the first half of the 2000s, but the observed long-term trend of emissions is considerably smaller than that previously reported for southwest Germany. In contrast, regional fossil fuel CO 2 levels, estimated from high-precision 14 CO 2 observations, do not show any significant decreasing trend since 1986, in agreement with the reported emissions for this region. In order to provide accurate verification, these regional measurements would best be accompanied by adequate atmospheric transport modelling as required to precisely determine the relevant catchment area of the measurements. Furthermore, reliable reconciliation of reported emissions will only be possible if these are known at high spatial resolution in the catchment area of the observations. This information should principally be available in all countries that regularly report their greenhouse gas emissions to the United Nations Framework Convention on Climate Change.

scholarly journals Simulating Long-Term Development of Greenhouse Gas Emissions, Plant Biomass, and Soil Moisture of a Temperate Grassland Ecosystem under Elevated Atmospheric CO2

Agronomy ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Ralf Liebermann ◽  
Lutz Breuer ◽  
Tobias Houska ◽  
David Kraus ◽  
Gerald Moser ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Elevated Co2 ◽  
Biomass Production ◽  
Atmospheric Co2 ◽  
N2o Emissions ◽  
Gas Emissions ◽  
Co2 Concentrations

The rising atmospheric CO2 concentrations have effects on the worldwide ecosystems such as an increase in biomass production as well as changing soil processes and conditions. Since this affects the ecosystem’s net balance of greenhouse gas emissions, reliable projections about the CO2 impact are required. Deterministic models can capture the interrelated biological, hydrological, and biogeochemical processes under changing CO2 concentrations if long-term observations for model testing are provided. We used 13 years of data on above-ground biomass production, soil moisture, and emissions of CO2 and N2O from the Free Air Carbon dioxide Enrichment (FACE) grassland experiment in Giessen, Germany. Then, the LandscapeDNDC ecosystem model was calibrated with data measured under current CO2 concentrations and validated under elevated CO2. Depending on the hydrological conditions, different CO2 effects were observed and captured well for all ecosystem variables but N2O emissions. Confidence intervals of ensemble simulations covered up to 96% of measured biomass and CO2 emission values, while soil water content was well simulated in terms of annual cycle and location-specific CO2 effects. N2O emissions under elevated CO2 could not be reproduced, presumably due to a rarely considered mineralization process of organic nitrogen, which is not yet included in LandscapeDNDC.

scholarly journals The impact of long-term organic farming on soil-derived greenhouse gas emissions

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Colin Skinner ◽  
Andreas Gattinger ◽  
Maike Krauss ◽  
Hans-Martin Krause ◽  
Jochen Mayer ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Organic Farming ◽  
Gas Emissions ◽  
The Impact

scholarly journals The impact of agriculture and renewable energy on climate change in Central and East European Countries

2020 ◽  
Vol 66 (No. 10) ◽  
pp. 447-457
Author(s):  
Nicoleta Mihaela Florea ◽  
Roxana Maria Badircea ◽  
Ramona Costina Pirvu ◽  
Alina Georgiana Manta ◽  
Marius Dalian Doran ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test ◽  
Gas Emissions ◽  
The Impact

According to the objectives of the European Union concerning the climate changes, Member States should take all the necessary measures in order to reduce the greenhouse gas emissions. The aim of this study is to identify the causality relations between greenhouse gases emissions, added value from agriculture, renewable energy consumption, and economic growth based on a panel consisting of 11 states from the Central and Eastern Europe (CEECs) in the period between 2000 and 2017. The Autoregressive Distributed Lag (ARDL) method was used to estimate the long-term relationships among the variables. Also a Granger causality test based on the ARDL – Error Correction Model (ECM) and a Pairwise Granger causality test were used to identify the causality relationship and to detect the direction of causality among the variables. The results obtained reveal, in the long term, two bidirectional relationships between agriculture and economic growth and two unidirectional relationships from agriculture to greenhouse gas emissions and renewable energy. In the short term, four unidirectional relationships were found from agriculture to all the variables in the model and one unidirectional relationship from renewable energy to greenhouse gas emissions.

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