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Vladimir Romanenkov
Geographical Network Department, All-Russian Research Institute of Agrochemistry Named after D. Pryanishnikov, 127550 Moscow, Russia

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Journal article
Published: 26 January 2021 in Agronomy
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Soil organic carbon (SOC) sequestration in arable soils is a challenging goal. We focused on the effect of crop rotation and previous land use for future carbon sequestration on two experimental fields on Retisols with four contrasting fertilization treatments each. We analyzed the SOC dynamics and used the RothC model to forecast the SOC. We found a consistent increase in SOC stocks and stable fractions of the soil organic matter (SOM) with C accumulation in the next 70 years compared to the 90-year experimental period, more evident under the Representative Concentration Pathway 4.5 (RCP4.5) compared with the RCP8.5 scenario. The expected increase in SOC will be higher in the crop rotation with a grass field than in the experiment with an alternation of row crops and cereals. The efficiency depended on stable SOM fractions, and fields with more extended cultivation history showed higher SOM stability. Proper crop rotations are more important for SOC stability than the uncertainty associated with the climate change scenarios that allows timely adaptation. The goal of a 4‰ annual increase of SOC stocks may be reached under rotation with grasses in 2020–40 and 2080–90 when applying a mineral or organic fertilizer system for scenario RCP4.5 and a mineral fertilizer system in 2080–2090 for scenario RCP8.5.

ACS Style

Kristina Prokopyeva; Vladimir Romanenkov; Nadezhda Sidorenkova; Vera Pavlova; Stanislav Siptits; Pavel Krasilnikov. The Effect of Crop Rotation and Cultivation History on Predicted Carbon Sequestration in Soils of Two Experimental Fields in the Moscow Region, Russia. Agronomy 2021, 11, 226 .

AMA Style

Kristina Prokopyeva, Vladimir Romanenkov, Nadezhda Sidorenkova, Vera Pavlova, Stanislav Siptits, Pavel Krasilnikov. The Effect of Crop Rotation and Cultivation History on Predicted Carbon Sequestration in Soils of Two Experimental Fields in the Moscow Region, Russia. Agronomy. 2021; 11 (2):226.

Chicago/Turabian Style

Kristina Prokopyeva; Vladimir Romanenkov; Nadezhda Sidorenkova; Vera Pavlova; Stanislav Siptits; Pavel Krasilnikov. 2021. "The Effect of Crop Rotation and Cultivation History on Predicted Carbon Sequestration in Soils of Two Experimental Fields in the Moscow Region, Russia." Agronomy 11, no. 2: 226.

Journal article
Published: 06 January 2021 in Agronomy
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Soil organic carbon (SOC) is an essential component of soil health and a potential sink for greenhouse gases. SOC dynamics in a long-term field experiment with mineral and organic fertilization on loamy sand podzol in the Vladimir Region, Russia, was traced with the dynamic carbon model RothC from 1968 until the present. During this period, C stock increased by 21%, compared to the initial level, with the application of manure, at an average annual rate of 10 t·ha−1. The model was also used to forecast SOC changes up to 2090 for two contrasting RCP4.5 and RCP8.5 climatic scenarios. Up to 2090, steady growth of SOC stocks is expected in all compared treatments for both climate scenarios. In the scenarios, this growth rate was the highest up to 2040, decreased in the period 2040–2070, and increased again in the period 2070–2090 for RCP4.5. The highest annual gain was 21–27‰ under the RCP4.5 scenario and 16–21‰ under the RCP8.5 scenario in 2020–2040 in a 0–20 cm soil layer. Under the expected climate conditions in the 21st century, the C input will increase 1.3–1.5 times under the RCP4.5 scenario and decrease by 13–20% for the same period under the RCP 8.5 scenario. Modelling demonstrated potentially more favourable conditions for SOC stability in arable podzols than in Retisols in central Russia in the 21st century.

ACS Style

Igor Ilichev; Vladimir Romanenkov; Sergei Lukin; Vera Pavlova; Stanislav Siptits; Pavel Krasilnikov. Arable Podzols Are a Substantial Carbon Sink under Current and Future Climates: Evidence from a Long-Term Experiment in the Vladimir Region, Russia. Agronomy 2021, 11, 90 .

AMA Style

Igor Ilichev, Vladimir Romanenkov, Sergei Lukin, Vera Pavlova, Stanislav Siptits, Pavel Krasilnikov. Arable Podzols Are a Substantial Carbon Sink under Current and Future Climates: Evidence from a Long-Term Experiment in the Vladimir Region, Russia. Agronomy. 2021; 11 (1):90.

Chicago/Turabian Style

Igor Ilichev; Vladimir Romanenkov; Sergei Lukin; Vera Pavlova; Stanislav Siptits; Pavel Krasilnikov. 2021. "Arable Podzols Are a Substantial Carbon Sink under Current and Future Climates: Evidence from a Long-Term Experiment in the Vladimir Region, Russia." Agronomy 11, no. 1: 90.

Journal article
Published: 20 October 2020 in Agronomy
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Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4‰. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964–1971 with 2–5‰ annual OC increase. The model estimated the annual C input necessary to maintain OC stock as 1900 kg·ha−1. For increasing OC stocks by 4‰ per year, one should raise input to 2400 kg·ha−1. The simulation was made for 2016–2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3‰ and 6‰ of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management.

ACS Style

Ilshat Husniev; Vladimir Romanenkov; Olga Minakova; Pavel Krasilnikov. Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia. Agronomy 2020, 10, 1607 .

AMA Style

Ilshat Husniev, Vladimir Romanenkov, Olga Minakova, Pavel Krasilnikov. Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia. Agronomy. 2020; 10 (10):1607.

Chicago/Turabian Style

Ilshat Husniev; Vladimir Romanenkov; Olga Minakova; Pavel Krasilnikov. 2020. "Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia." Agronomy 10, no. 10: 1607.

Preprint
Published: 08 September 2020
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Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4‰. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964-71 with 2-5‰ annual OC increase. The model estimated the annual C input in the arable soil layer as 1,900 kg·ha-1. For increasing OC stocks by 4‰ per year, one should raise input to 2400 kg·ha-1. Simulation was made for 2016-2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3‰ and 6‰ of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management.

ACS Style

Ilshat Husniev; Vladimir Romanenkov; Olga Minakova; Pavel Krasilnikov. Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia. 2020, 1 .

AMA Style

Ilshat Husniev, Vladimir Romanenkov, Olga Minakova, Pavel Krasilnikov. Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia. . 2020; ():1.

Chicago/Turabian Style

Ilshat Husniev; Vladimir Romanenkov; Olga Minakova; Pavel Krasilnikov. 2020. "Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia." , no. : 1.

Book chapter
Published: 15 November 2015 in Springer Water
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Monitoring the ecological status of agricultural land is a fundamental precondition for controlling its sustainable functions for human society and for maintaining the ecosystem’s capacity. We analyze fundamentals, developments, and trends and present results of agroecological monitoring in Russia. This system has been developed and operated by the Pryanishnikov Institute of Agrochemistry in Moscow. Agroecological monitoring in Russia was installed in the 1970s and is based on a regular 5-year agrochemical survey of agricultural lands all over the country, more than 300 field experiments in all bioclimatic zones of the country, and more than 1000 reference monitoring plots. In trials with different inputs of fertilizers, the focus is on analyzing soil fertility indicators and their impact on productivity. Some of these experiments are long-term experiments and part of international networks. Their results are of fundamental importance for monitoring, modeling, and controlling the status of soils in future despite climate change. In a regular survey, we found tendencies toward decreasing soil fertility in some regions, for example with decreased contents of humus and plant-available minerals, and topsoil acidification. Nutrient withdrawals must be compensated for by regular fertilization regimes, nutrient mining must be avoided. We detected some gaps in knowledge on the topic of balancing elements and modeling the agroecosystem’s response to climate and land use changes. We conclude that there is a need to implement modern measurement and modeling systems in some key long-term trials. The Pryanishnikov Institute has taken responsibility for coordinating running programs in different regions and administrative units of the Russian Federation, and for elaborating methodical guidelines and highly advanced monitoring technologies. National and international cooperation, research programs and networks are key for agroecological monitoring systems of the twenty-first century in addressing challenges for a highly productive, stable, sustainable, and environmentally safe food production.

ACS Style

Victor G. Sychev; Evgeny N. Yefremov; Vladimir A. Romanenkov. Monitoring of Soil Fertility (Agroecological Monitoring). Springer Water 2015, 541 -561.

AMA Style

Victor G. Sychev, Evgeny N. Yefremov, Vladimir A. Romanenkov. Monitoring of Soil Fertility (Agroecological Monitoring). Springer Water. 2015; ():541-561.

Chicago/Turabian Style

Victor G. Sychev; Evgeny N. Yefremov; Vladimir A. Romanenkov. 2015. "Monitoring of Soil Fertility (Agroecological Monitoring)." Springer Water , no. : 541-561.

Book chapter
Published: 15 November 2015 in Springer Water
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Nutrient balance, calculated at the national and regional level, is a useful tool to gain information on trends in nutrient depletion or enrichment which can be used to choose nutrient management strategies and to assess the undesirable effects of nutrient mining and environmental pollution. The balances of the main plant nutrients like nitrogen (N), phosphorus (P), and potassium (K) were calculated by taking into consideration the inputs of nutrients with mineral and organic fertilizers, seeds, biologically fixed N (symbiotic and non-symbiotic fixation) and rain, plus the outputs of nutrients through crop uptake, and losses through leaching, erosion, and denitrification. The increase in the scope of chemicalization in Russia led to the gradual elimination of the N and P deficit, and the surplus of these nutrients at the national level—from the approximate balance since the mid-1960s up to 37 and 25 kg/ha and between 1986 and 1990, respectively. The annual deficit of K was also gradually reduced in the same period from −15 to −2 kg/ha. Present-day agriculture has a serious annual excess of removal over input, with a long-term deficit of up to 30, 10, and 27 kg/ha for N, P, and K, respectively as the result of a drastic decrease in mineral and organic fertilization, since the 1990s. The regional balance also provides a link with monitoring data of nutrient availability in arable soils. For the regions with high-input agricultural production, the analysis of agrochemical survey data shows a consistent decrease in the weighted average content of available P and K forms in arable lands. This negative tendency became clear when the input of nutrients was inadequate to maintain soil fertility, being permanently lower than its removal from the agrolandscapes. The balance method helped to identify hot spots of unbalanced fertilization, where N consumption outstripped that of P and K. Siberia is one of these regions where arable lands are not only underfertilized, but mainly receive N fertilizers at the expense of P and K as a result of farmers concentrating on short-term decisions instead of long-term sustainability, while in the Russian Far East the situation is much more favorable. The development of policies and strategies relating to the fertilization requirements of Russian agriculture should be based on providing balanced nutrition conditions for sustaining agricultural systems and soil fertility conservation.

ACS Style

Evgeny N. Yefremov; Victor G. Sychev; Vladimir A. Romanenkov. Balance of Nutrients and the Optimization of Their Use in Agroecosystems of the Russian Federation. Springer Water 2015, 619 -633.

AMA Style

Evgeny N. Yefremov, Victor G. Sychev, Vladimir A. Romanenkov. Balance of Nutrients and the Optimization of Their Use in Agroecosystems of the Russian Federation. Springer Water. 2015; ():619-633.

Chicago/Turabian Style

Evgeny N. Yefremov; Victor G. Sychev; Vladimir A. Romanenkov. 2015. "Balance of Nutrients and the Optimization of Their Use in Agroecosystems of the Russian Federation." Springer Water , no. : 619-633.

Book chapter
Published: 15 November 2015 in Springer Water
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This chapter provides information about an emerging approach for rating agricultural soil quality (SQ) and crop yield potentials consistently over a range of spatial scales. We developed and tested the Muencheberg Soil Quality Rating (M-SQR), a straightforward, indicator-based overall method for agricultural SQ assessment. The aim of this chapter is to improve the precision and consistency of final ratings by updating the rating frames of most crop-yield-relevant indicators. M-SQR is a framework covering aspects of soil texture, structure, topography and climate which is based on 8 Basic Indicators and more than 12 Hazard Indicators. Ratings are performed by visual methods of soil evaluation and supported by monthly climate data. A field manual is then used to provide ratings from tables based on indicator thresholds. Finally, overall rating scores are given, ranging from 0 (worst) to 100 (best) to characterise crop yield potentials. The current approach is valid for grassland and cropland. Field tests in the main global agricultural regions have confirmed the practicability and reliability of the method. Many experimental sites have been assessed in Russia (Siberia included) and Central Asia. We found that at the field scale, soil texture and structure are most important criteria of agricultural SQ. At the global scale, climate-controlled hazard indicators of drought risk and the soil thermal regime are crucial for soil functioning and crop yield potentials. We present new rating tables for indicators that are most relevant to crop yields globally: a too-cold soil thermal regime (Hazard indicator 12) and agricultural drought (Hazard indicator 7). Final rating scores are well correlated with crop yields of cereals and grass. Regression equations express the relationships between overall M-SQR rating numbers and crop yield potentials at defined levels of farming inputs. We conclude that the combination of the Muencheberg Soil Quality Rating (M-SQR) with the World Reference Base of soil resources (WRB 2014) provides key information about main soil functions and processes. This system could be evolved for ranking and controlling agricultural SQ on a global scale. It should become a basis for more objective monitoring of global land quality, promoting sustainable land use and management, serving as one of the decision tools (decision support systems, impact assessment procedures) for economic trade-offs and land use planning. As a first step, the current concepts and data have led to a new crop yield potential map of Germany. The method and data given in this chapter could provide the basis for creating a similar map of Russia using the same methodology.

ACS Style

Lothar Mueller; Uwe Schindler; Volker Hennings; Elena N. Smolentseva; Olga V. Rukhovich; Vladimir A. Romanenkov; Victor G. Sychev; Sergey Lukin; Askhad K. Sheudshen; Ludmila Onishenko; Abdulla Saparov; Konstantin Pachikin; Axel Behrendt; Wilfried Mirschel; Frank Eulenstein. An Emerging Method of Rating Global Soil Quality and Productivity Potentials. Springer Water 2015, 573 -595.

AMA Style

Lothar Mueller, Uwe Schindler, Volker Hennings, Elena N. Smolentseva, Olga V. Rukhovich, Vladimir A. Romanenkov, Victor G. Sychev, Sergey Lukin, Askhad K. Sheudshen, Ludmila Onishenko, Abdulla Saparov, Konstantin Pachikin, Axel Behrendt, Wilfried Mirschel, Frank Eulenstein. An Emerging Method of Rating Global Soil Quality and Productivity Potentials. Springer Water. 2015; ():573-595.

Chicago/Turabian Style

Lothar Mueller; Uwe Schindler; Volker Hennings; Elena N. Smolentseva; Olga V. Rukhovich; Vladimir A. Romanenkov; Victor G. Sychev; Sergey Lukin; Askhad K. Sheudshen; Ludmila Onishenko; Abdulla Saparov; Konstantin Pachikin; Axel Behrendt; Wilfried Mirschel; Frank Eulenstein. 2015. "An Emerging Method of Rating Global Soil Quality and Productivity Potentials." Springer Water , no. : 573-595.

Book chapter
Published: 15 November 2015 in Springer Water
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Siberia is the backbone of the economy of modern Russia due to huge reserves of gas, oil, land and water. Not only resource extracting and processing industries, but also forestry and agriculture capitalize these resources with implications for local and global processes of nature and society. We analysed the state of land and water resources with regard to the impacts of human activity and climate change. The environmental status of forests, agricultural lands and inland water bodies was evaluated based on our own research and the recent literature. The focus was on agro-ecosystems. Our synthetic review revealed that peatlands and Tundra ecosystems are endangered by resource-extracting industries and industrial air pollution. Mining and industrial activity damage soil and vegetation and accelerate thermokarst processes. Forest ecosystems suffer increasingly from fires, insect outbreaks and improper management. Past and recent mining and industrial activity has polluted soils and water seriously in many regions. Permafrost melting could expose cases of old and inherited pollution. The impact of agriculture on water quality is still low but will increase. Agriculture is in a recession and operates inefficiently, destroying the soil. There is largely a lack of any agri-environmental monitoring in many regions. The rural infrastructure is on the verge of collapse, in the High North and the Far East in particular. State natural reserves (zapovedniks) are endangered by illegal activities and lack integration into scientific monitoring. Overall, monitoring programmes on the status of land and water resources lack consistency and modern technology. Climate change will put a great deal of additional pressure on Siberian landscapes, but hard data are required, and monitoring systems need to be modernized. Siberian landscapes have great potential for the mitigation of climate change through carbon sequestration and for improving people’s livelihoods. Environmentally friendly business activities such as organic food production, environmental tourism and recreational fishing are still underdeveloped. We conclude that the status of food production and the disintegration of rural areas are risks for Russian food security and national security. Modern technologies for monitoring and research ecosystems are needed to generate sustainable developments in managing the land and water resources of Siberia.

ACS Style

Lothar Mueller; Askhad K. Sheudshen; Aleksandr Syso; Pavel Barsukov; Elena N. Smolentseva; Tamara Khodzher; Victor G. Sychev; Vladimir A. Romanenkov; Olga V. Rukhovich; Aleksandr Puzanov; Ralf Dannowski; Uwe Schindler; Frank Eulenstein. Land and Water Resources of Siberia, Their Functioning and Ecological State. Springer Water 2015, 3 -73.

AMA Style

Lothar Mueller, Askhad K. Sheudshen, Aleksandr Syso, Pavel Barsukov, Elena N. Smolentseva, Tamara Khodzher, Victor G. Sychev, Vladimir A. Romanenkov, Olga V. Rukhovich, Aleksandr Puzanov, Ralf Dannowski, Uwe Schindler, Frank Eulenstein. Land and Water Resources of Siberia, Their Functioning and Ecological State. Springer Water. 2015; ():3-73.

Chicago/Turabian Style

Lothar Mueller; Askhad K. Sheudshen; Aleksandr Syso; Pavel Barsukov; Elena N. Smolentseva; Tamara Khodzher; Victor G. Sychev; Vladimir A. Romanenkov; Olga V. Rukhovich; Aleksandr Puzanov; Ralf Dannowski; Uwe Schindler; Frank Eulenstein. 2015. "Land and Water Resources of Siberia, Their Functioning and Ecological State." Springer Water , no. : 3-73.

Book chapter
Published: 15 November 2015 in Springer Water
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This chapter reviews and summarises the overall content of the book “Novel Methods for Monitoring and Managing Land and Water Resources in Siberia”. The book starts with an extended analysis of water and land resources, characterising the natural conditions of Siberian landscapes, their ecosystems, crucial processes and human impacts on soil and water quality. The status of research and monitoring is characterised in another chapter, pointing both on substantial progress achieved during the past decades, but also on gaps in our knowledge. Both chapters reveal the Siberian landscapes’ great potential for economically and ecologically viable business activities, but also inefficient and unsustainable land and water management practices and the decay of the rural infrastructure. Sustainable practices should be introduced soon, and this must be based on modern monitoring and management technologies. Some more studies show that thorough and innovative research and monitoring of water and land quality is provided by Siberian institutes and their leading researchers. Addressing climate change requires innovations in landscape research. Further book chapters deal with modern monitoring and management methods developed outside Siberia but having clear potential for application. We depict some highlights which could (a) lead to a significant knowledge shift, (b) initiate sustainable soil resource use and (c) trigger substantial improvement of the ecosystem status, if introduced into Siberia or applied there very soon on a wide scale. These are (1) soil and hydrological laboratory measurement methods, (2) process-based field measurement and evaluation methods of land and water quality, (3) remote sensing and GIS technology-based landscape monitoring methods, (4) process and ecosystem modelling approaches, (5) methods of resource and process evaluation and functional soil mapping and (6) tools for controlling agricultural land use systems such as nutrient balancing methods, conservation agriculture and their technologies. More than 15 concrete monitoring and management tools could immediately be introduced into research and practice, some of them without monetary investment. We conclude that strengthening international and national research cooperation in these fields will be a key for making novel methods operational. Agri-environmental research projects should have high priority as gaps in our knowledge are particular high, and a particularly large amount of novel measurement, evaluation, modelling and management tools are available. Various tools are ready for immediate introduction into Siberian landscapes in the framework of mutual pilot projects: state-of-the-science field monitoring technologies for soil and forest hydrology (EEM-HYPROP, virtual and real lysimeters), agro-ecological models and DSS (MONICA, LandCare-DSS), soil and land quality classification and evaluation tools (WRB 2014, Muencheberg-SQR), nutrient balancing tools, and technologies of conservation agriculture. The role of internationally linked monitoring capacities is particularly emphasised, with some existing stations established in the vast agri-environmental monitoring network and others to be newly built in remote regions of Siberia and the Far East, and supported by the latest remote sensing technologies. The book contributors represent an immense innovation network which should be employed to achieve both significant disciplinary and synergetic outreach effects. This should be imbedded into more sustainable strategies aiming at research cooperation between partners from EU countries, the Russian Federation and countries of Central Asia. Maintaining the functions of great landscapes for future human generations will be the reward of those efforts.

ACS Style

Lothar Mueller; Askhad K. Sheudshen; Victor G. Sychev; Vladimir A. Romanenkov; Ralf Dannowski; Frank Eulenstein. Potential of Applying Novel Monitoring and Management Methods to Siberian Landscapes. Springer Water 2015, 719 -760.

AMA Style

Lothar Mueller, Askhad K. Sheudshen, Victor G. Sychev, Vladimir A. Romanenkov, Ralf Dannowski, Frank Eulenstein. Potential of Applying Novel Monitoring and Management Methods to Siberian Landscapes. Springer Water. 2015; ():719-760.

Chicago/Turabian Style

Lothar Mueller; Askhad K. Sheudshen; Victor G. Sychev; Vladimir A. Romanenkov; Ralf Dannowski; Frank Eulenstein. 2015. "Potential of Applying Novel Monitoring and Management Methods to Siberian Landscapes." Springer Water , no. : 719-760.

Book chapter
Published: 15 November 2015 in Springer Water
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Siberia has experienced significant transformations over the past 70 years and particularly since the introduction of the market economy 25 years ago. This has caused implications for landscape processes and for the status of terrestrial and aquatic ecosystems. We review the role of science and technology in monitoring, understanding and developing Siberian landscapes. Data sources were international literature and own expeditions and studies. Russia has great traditions in landscape research disciplines such as geography, soil science, hydrology and agronomy. Substantial progress has been achieved in all these fields over the past 25 years. We found particular progress in landscape research based on international projects in the fields of Arctic research, climate change and carbon cycle. Other fields such as agricultural research remained traditional and underdeveloped. In the 1990s there was a great shift of knowledge and technology in the better-interlinked English-speaking European scientific community. In Russia, at the same time, the introduction of the market economy accelerated environmental problems, caused a greater discrepancy between the livelihoods of urban and rural populations, created new knowledge gaps and enlarged the gap between theory and practice in landscape research. The decay of infrastructure in rural landscapes produced an inhospitable environment for science and technology. In view of this, landscape research in Siberia and in the Far East remained very traditional. Other deficits were based on a lack of communication with the international community due to language barriers. Cooperation between leading Russian and European scientists is still poorly developed and funded. The Russian academic scientific system was highly organized until 2013. However, efficiency was low and scientific outputs did not meet the requirements of decision-makers. The ongoing reform of the academic system entails the risk that precisely the opposite to the desired effects of higher efficiency could come true, such as accelerated brain drain and loss of objectivity. We conclude that Trans-Eurasian research cooperation is becoming very important in the current critical transition phase. Modern analytical methods, sophisticated technologies, models and evaluation schemes for landscape research and environmentally friendly soil management technologies are available in the English-speaking community. Substantial progress in monitoring, understanding and controlling landscape processes in the framework of international research projects could be achieved by applying new research methods in Siberia. We present some of them in the following chapters of this book.

ACS Style

Lothar Mueller; Askhad K. Sheudshen; Victor G. Sychev; Aleksandr Syso; Pavel Barsukov; Elena N. Smolentseva; Cristian Siewert; Ralph Meissner; Ralf Dannowski; Vladimir A. Romanenkov; Olga V. Rukhovich; Katharina Helming; Uwe Schindler; Frank Eulenstein. Status Report About Understanding, Monitoring and Controlling Landscape Processes in Siberia. Springer Water 2015, 75 -110.

AMA Style

Lothar Mueller, Askhad K. Sheudshen, Victor G. Sychev, Aleksandr Syso, Pavel Barsukov, Elena N. Smolentseva, Cristian Siewert, Ralph Meissner, Ralf Dannowski, Vladimir A. Romanenkov, Olga V. Rukhovich, Katharina Helming, Uwe Schindler, Frank Eulenstein. Status Report About Understanding, Monitoring and Controlling Landscape Processes in Siberia. Springer Water. 2015; ():75-110.

Chicago/Turabian Style

Lothar Mueller; Askhad K. Sheudshen; Victor G. Sychev; Aleksandr Syso; Pavel Barsukov; Elena N. Smolentseva; Cristian Siewert; Ralph Meissner; Ralf Dannowski; Vladimir A. Romanenkov; Olga V. Rukhovich; Katharina Helming; Uwe Schindler; Frank Eulenstein. 2015. "Status Report About Understanding, Monitoring and Controlling Landscape Processes in Siberia." Springer Water , no. : 75-110.

Journal article
Published: 01 May 2015 in CATENA
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International audienceno abstrac

ACS Style

C. Kosmas; O. Kairis; C. Karavitis; Sanem Acikalin; M. Alcalá; P. Alfama; J. Atlhopheng; J. Barrera; A. Belgacem; Albert Solé-Benet; J. Brito; M. Chaker; R. Chanda; M. Darkoh; O. Ermolaeva; V. Fassouli; F. Fernandez; Candan Gokceoglu; D. Gonzalez; H. Gungor; R. Hessel; H. Khatteli; N. Khitrov; A. Kounalaki; A. Laouina; L. Magole; L. Medina; M. Mendoza; K. Mulale; F. Ocakoglu; M. Ouessar; C. Ovalle; C. Perez; J. Perkins; A. Pozo; C. Prat; A. Ramos; J. Ramos; J. Riquelme; C. Ritsema; Vladimir Romanenkov; R. Sebego; M. Sghaier; N. Silva; M. Sizemskaya; H. Sonmez; H. Taamallah; L. Tezcan; J. de Vente; E. Zagal; Anatoly Zeiliguer; L. Salvati. An exploratory analysis of land abandonment drivers in areas prone to desertification. CATENA 2015, 128, 252 -261.

AMA Style

C. Kosmas, O. Kairis, C. Karavitis, Sanem Acikalin, M. Alcalá, P. Alfama, J. Atlhopheng, J. Barrera, A. Belgacem, Albert Solé-Benet, J. Brito, M. Chaker, R. Chanda, M. Darkoh, O. Ermolaeva, V. Fassouli, F. Fernandez, Candan Gokceoglu, D. Gonzalez, H. Gungor, R. Hessel, H. Khatteli, N. Khitrov, A. Kounalaki, A. Laouina, L. Magole, L. Medina, M. Mendoza, K. Mulale, F. Ocakoglu, M. Ouessar, C. Ovalle, C. Perez, J. Perkins, A. Pozo, C. Prat, A. Ramos, J. Ramos, J. Riquelme, C. Ritsema, Vladimir Romanenkov, R. Sebego, M. Sghaier, N. Silva, M. Sizemskaya, H. Sonmez, H. Taamallah, L. Tezcan, J. de Vente, E. Zagal, Anatoly Zeiliguer, L. Salvati. An exploratory analysis of land abandonment drivers in areas prone to desertification. CATENA. 2015; 128 ():252-261.

Chicago/Turabian Style

C. Kosmas; O. Kairis; C. Karavitis; Sanem Acikalin; M. Alcalá; P. Alfama; J. Atlhopheng; J. Barrera; A. Belgacem; Albert Solé-Benet; J. Brito; M. Chaker; R. Chanda; M. Darkoh; O. Ermolaeva; V. Fassouli; F. Fernandez; Candan Gokceoglu; D. Gonzalez; H. Gungor; R. Hessel; H. Khatteli; N. Khitrov; A. Kounalaki; A. Laouina; L. Magole; L. Medina; M. Mendoza; K. Mulale; F. Ocakoglu; M. Ouessar; C. Ovalle; C. Perez; J. Perkins; A. Pozo; C. Prat; A. Ramos; J. Ramos; J. Riquelme; C. Ritsema; Vladimir Romanenkov; R. Sebego; M. Sghaier; N. Silva; M. Sizemskaya; H. Sonmez; H. Taamallah; L. Tezcan; J. de Vente; E. Zagal; Anatoly Zeiliguer; L. Salvati. 2015. "An exploratory analysis of land abandonment drivers in areas prone to desertification." CATENA 128, no. : 252-261.

Journal article
Published: 28 June 2013 in Environmental Management
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Indicator-based approaches are often used to monitor land degradation and desertification from the global to the very local scale. However, there is still little agreement on which indicators may best reflect both status and trends of these phenomena. In this study, various processes of land degradation and desertification have been analyzed in 17 study sites around the world using a wide set of biophysical and socioeconomic indicators. The database described earlier in this issue by Kosmas and others (Environ Manage, 2013) for defining desertification risk was further analyzed to define the most important indicators related to the following degradation processes: water erosion in various land uses, tillage erosion, soil salinization, water stress, forest fires, and overgrazing. A correlation analysis was applied to the selected indicators in order to identify the most important variables contributing to each land degradation process. The analysis indicates that the most important indicators are: (i) rain seasonality affecting water erosion, water stress, and forest fires, (ii) slope gradient affecting water erosion, tillage erosion and water stress, and (iii) water scarcity soil salinization, water stress, and forest fires. Implementation of existing regulations or policies concerned with resources development and environmental sustainability was identified as the most important indicator of land protection.

ACS Style

Or. Kairis; C. Kosmas; Ch. Karavitis; C. Ritsema; L. Salvati; S. Acikalin; M. Alcala; P. Alfama; J. Atlhopheng; J. Barrera; A. Belgacem; Albert Solé-Benet; J. Brito; M. Chaker; R. Chanda; C. Coelho; M. Darkoh; I. Diamantis; O. Ermolaeva; V. Fassouli; W. Fei; J. Feng; F. Fernandez; Antonio Ferreira; Candan Gokceoglu; D. Gonzalez; H. Gungor; R. Hessel; J. Juying; H. Khatteli; N. Khitrov; A. Kounalaki; A. Laouina; Piernicola Lollino; M. Lopes; L. Magole; L. Medina; M. Mendoza; P. Morais; K. Mulale; F. Ocakoglu; M. Ouessar; C. Ovalle; C. Perez; J. Perkins; F. Pliakas; Maurizio Polemio; A. Pozo; C. Prat; Y. Qinke; Á. Ramos; J. Ramos; J. Riquelme; Vladimir Romanenkov; L. Rui; Francesca Santaloia; R. Sebego; M. Sghaier; N. Silva; M. Sizemskaya; J. Soares; H. Sonmez; H. Taamallah; L. Tezcan; Dino Torri; Fabrizio Ungaro; Sandra Valente; J. De Vente; Erick Zagal; Anatoly Zeiliguer; W. Zhonging; A. Ziogas; J. Vente. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Types of Degradation, Causes, and Implications for Management. Environmental Management 2013, 54, 971 -982.

AMA Style

Or. Kairis, C. Kosmas, Ch. Karavitis, C. Ritsema, L. Salvati, S. Acikalin, M. Alcala, P. Alfama, J. Atlhopheng, J. Barrera, A. Belgacem, Albert Solé-Benet, J. Brito, M. Chaker, R. Chanda, C. Coelho, M. Darkoh, I. Diamantis, O. Ermolaeva, V. Fassouli, W. Fei, J. Feng, F. Fernandez, Antonio Ferreira, Candan Gokceoglu, D. Gonzalez, H. Gungor, R. Hessel, J. Juying, H. Khatteli, N. Khitrov, A. Kounalaki, A. Laouina, Piernicola Lollino, M. Lopes, L. Magole, L. Medina, M. Mendoza, P. Morais, K. Mulale, F. Ocakoglu, M. Ouessar, C. Ovalle, C. Perez, J. Perkins, F. Pliakas, Maurizio Polemio, A. Pozo, C. Prat, Y. Qinke, Á. Ramos, J. Ramos, J. Riquelme, Vladimir Romanenkov, L. Rui, Francesca Santaloia, R. Sebego, M. Sghaier, N. Silva, M. Sizemskaya, J. Soares, H. Sonmez, H. Taamallah, L. Tezcan, Dino Torri, Fabrizio Ungaro, Sandra Valente, J. De Vente, Erick Zagal, Anatoly Zeiliguer, W. Zhonging, A. Ziogas, J. Vente. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Types of Degradation, Causes, and Implications for Management. Environmental Management. 2013; 54 (5):971-982.

Chicago/Turabian Style

Or. Kairis; C. Kosmas; Ch. Karavitis; C. Ritsema; L. Salvati; S. Acikalin; M. Alcala; P. Alfama; J. Atlhopheng; J. Barrera; A. Belgacem; Albert Solé-Benet; J. Brito; M. Chaker; R. Chanda; C. Coelho; M. Darkoh; I. Diamantis; O. Ermolaeva; V. Fassouli; W. Fei; J. Feng; F. Fernandez; Antonio Ferreira; Candan Gokceoglu; D. Gonzalez; H. Gungor; R. Hessel; J. Juying; H. Khatteli; N. Khitrov; A. Kounalaki; A. Laouina; Piernicola Lollino; M. Lopes; L. Magole; L. Medina; M. Mendoza; P. Morais; K. Mulale; F. Ocakoglu; M. Ouessar; C. Ovalle; C. Perez; J. Perkins; F. Pliakas; Maurizio Polemio; A. Pozo; C. Prat; Y. Qinke; Á. Ramos; J. Ramos; J. Riquelme; Vladimir Romanenkov; L. Rui; Francesca Santaloia; R. Sebego; M. Sghaier; N. Silva; M. Sizemskaya; J. Soares; H. Sonmez; H. Taamallah; L. Tezcan; Dino Torri; Fabrizio Ungaro; Sandra Valente; J. De Vente; Erick Zagal; Anatoly Zeiliguer; W. Zhonging; A. Ziogas; J. Vente. 2013. "Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Types of Degradation, Causes, and Implications for Management." Environmental Management 54, no. 5: 971-982.

Article
Published: 25 June 2013 in Environmental Management
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An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper. In order to investigate which indicators are most effective in assessing the level of desertification risk, a total of 70 candidate indicators was selected providing information for the biophysical environment, socio-economic conditions, and land management characteristics. The indicators were defined in 1,672 field sites located in 17 study areas in the Mediterranean region, Eastern Europe, Latin America, Africa, and Asia. Based on an existing geo-referenced database, classes were designated for each indicator and a sensitivity score to desertification was assigned to each class based on existing research. The obtained data were analyzed for the various processes of land degradation at farm level. The derived methodology was assessed using independent indicators, such as the measured soil erosion rate, and the organic matter content of the soil. Based on regression analyses, the collected indicator set can be reduced to a number of effective indicators ranging from 8 to 17 in the various processes of land degradation. Among the most important indicators identified as affecting land degradation and desertification risk were rain seasonality, slope gradient, plant cover, rate of land abandonment, land-use intensity, and the level of policy implementation.

ACS Style

C. Kosmas; Or. Kairis; Ch. Karavitis; C. Ritsema; L. Salvati; Sanem Acikalin; M. Alcalá; P. Alfama; J. Atlhopheng; J. Barrera; A. Belgacem; Albert Solé-Benet; J. Brito; M. Chaker; R. Chanda; C. Coelho; M. Darkoh; I. Diamantis; O. Ermolaeva; V. Fassouli; W. Fei; J. Feng; F. Fernandez; Antonio Ferreira; Candan Gokceoglu; D. Gonzalez; H. Gungor; R. Hessel; J. Juying; H. Khatteli; N. Khitrov; A. Kounalaki; A. Laouina; Piernicola Lollino; M. Lopes; L. Magole; L. Medina; M. Mendoza; P. Morais; K. Mulale; F. Ocakoglu; M. Ouessar; C. Ovalle; C. Perez; J. Perkins; F. Pliakas; Maurizio Polemio; A. Pozo; Christian Prat; Y. Qinke; A. Ramos; J. Ramos; J. Riquelme; Vladimir Romanenkov; L. Rui; Francesca Santaloia; R. Sebego; M. Sghaier; N. Silva; M. Sizemskaya; J. Soares; H. Sonmez; H. Taamallah; L. Tezcan; Dino Torri; F. Ungaro; Sandra Valente; J. De Vente; Erick Zagal; A. Zeiliguer; W. Zhonging; A. Ziogas. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Methodological Approach. Environmental Management 2013, 54, 951 -970.

AMA Style

C. Kosmas, Or. Kairis, Ch. Karavitis, C. Ritsema, L. Salvati, Sanem Acikalin, M. Alcalá, P. Alfama, J. Atlhopheng, J. Barrera, A. Belgacem, Albert Solé-Benet, J. Brito, M. Chaker, R. Chanda, C. Coelho, M. Darkoh, I. Diamantis, O. Ermolaeva, V. Fassouli, W. Fei, J. Feng, F. Fernandez, Antonio Ferreira, Candan Gokceoglu, D. Gonzalez, H. Gungor, R. Hessel, J. Juying, H. Khatteli, N. Khitrov, A. Kounalaki, A. Laouina, Piernicola Lollino, M. Lopes, L. Magole, L. Medina, M. Mendoza, P. Morais, K. Mulale, F. Ocakoglu, M. Ouessar, C. Ovalle, C. Perez, J. Perkins, F. Pliakas, Maurizio Polemio, A. Pozo, Christian Prat, Y. Qinke, A. Ramos, J. Ramos, J. Riquelme, Vladimir Romanenkov, L. Rui, Francesca Santaloia, R. Sebego, M. Sghaier, N. Silva, M. Sizemskaya, J. Soares, H. Sonmez, H. Taamallah, L. Tezcan, Dino Torri, F. Ungaro, Sandra Valente, J. De Vente, Erick Zagal, A. Zeiliguer, W. Zhonging, A. Ziogas. Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Methodological Approach. Environmental Management. 2013; 54 (5):951-970.

Chicago/Turabian Style

C. Kosmas; Or. Kairis; Ch. Karavitis; C. Ritsema; L. Salvati; Sanem Acikalin; M. Alcalá; P. Alfama; J. Atlhopheng; J. Barrera; A. Belgacem; Albert Solé-Benet; J. Brito; M. Chaker; R. Chanda; C. Coelho; M. Darkoh; I. Diamantis; O. Ermolaeva; V. Fassouli; W. Fei; J. Feng; F. Fernandez; Antonio Ferreira; Candan Gokceoglu; D. Gonzalez; H. Gungor; R. Hessel; J. Juying; H. Khatteli; N. Khitrov; A. Kounalaki; A. Laouina; Piernicola Lollino; M. Lopes; L. Magole; L. Medina; M. Mendoza; P. Morais; K. Mulale; F. Ocakoglu; M. Ouessar; C. Ovalle; C. Perez; J. Perkins; F. Pliakas; Maurizio Polemio; A. Pozo; Christian Prat; Y. Qinke; A. Ramos; J. Ramos; J. Riquelme; Vladimir Romanenkov; L. Rui; Francesca Santaloia; R. Sebego; M. Sghaier; N. Silva; M. Sizemskaya; J. Soares; H. Sonmez; H. Taamallah; L. Tezcan; Dino Torri; F. Ungaro; Sandra Valente; J. De Vente; Erick Zagal; A. Zeiliguer; W. Zhonging; A. Ziogas. 2013. "Evaluation and Selection of Indicators for Land Degradation and Desertification Monitoring: Methodological Approach." Environmental Management 54, no. 5: 951-970.

Journal article
Published: 01 December 2012 in Atmospheric Environment
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ACS Style

Jessica McCarty; Evan A. Ellicott; Vladimir Romanenkov; Dmitry Rukhovitch; Polina Koroleva. Multi-year black carbon emissions from cropland burning in the Russian Federation. Atmospheric Environment 2012, 63, 223 -238.

AMA Style

Jessica McCarty, Evan A. Ellicott, Vladimir Romanenkov, Dmitry Rukhovitch, Polina Koroleva. Multi-year black carbon emissions from cropland burning in the Russian Federation. Atmospheric Environment. 2012; 63 ():223-238.

Chicago/Turabian Style

Jessica McCarty; Evan A. Ellicott; Vladimir Romanenkov; Dmitry Rukhovitch; Polina Koroleva. 2012. "Multi-year black carbon emissions from cropland burning in the Russian Federation." Atmospheric Environment 63, no. : 223-238.

Journal article
Published: 10 June 2011 in Eurasian Soil Science
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ACS Style

N. P. Masyutenko; B. M. Kogut; V. A. Romanenkov; E. V. Shein. International symposium soil organic matter dynamics in long-term field experiments and their modelling. Eurasian Soil Science 2011, 44, 702 -704.

AMA Style

N. P. Masyutenko, B. M. Kogut, V. A. Romanenkov, E. V. Shein. International symposium soil organic matter dynamics in long-term field experiments and their modelling. Eurasian Soil Science. 2011; 44 (6):702-704.

Chicago/Turabian Style

N. P. Masyutenko; B. M. Kogut; V. A. Romanenkov; E. V. Shein. 2011. "International symposium soil organic matter dynamics in long-term field experiments and their modelling." Eurasian Soil Science 44, no. 6: 702-704.

Journal article
Published: 26 November 2010 in Biogeosciences
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The stability of soil organic matter (SOM) is a major source of uncertainty in predicting atmospheric CO2 concentration during the 21st century. Isolating the stable soil carbon (C) from other, more labile, C fractions in soil is of prime importance for calibrating soil C simulation models, and gaining insights into the mechanisms that lead to soil C stability. Long-term experiments with continuous bare fallow (vegetation-free) treatments in which the decay of soil C is monitored for decades after all inputs of C have stopped, provide a unique opportunity to assess the quantity of stable soil C. We analyzed data from six bare fallow experiments of long-duration (>30 yrs), covering a range of soil types and climate conditions, and sited at Askov (Denmark), Grignon and Versailles (France), Kursk (Russia), Rothamsted (UK), and Ultuna (Sweden). A conceptual three pool model dividing soil C into a labile pool (turnover time of a several years), an intermediate pool (turnover time of a several decades) and a stable pool (turnover time of a several centuries or more) fits well with the long term C decline observed in the bare fallow soils. The estimate of stable C ranged from 2.7 g C kg−1 at Rothamsted to 6.8 g C kg−1 at Grignon. The uncertainty associated with estimates of the stable pool was large due to the short duration of the fallow treatments relative to the turnover time of stable soil C. At Versailles, where there is least uncertainty associated with the determination of a stable pool, the soil contains predominantly stable C after 80 years of continuous bare fallow. Such a site represents a unique research platform for characterization of the nature of stable SOM and its vulnerability to global change.

ACS Style

PierreJean Barre; Thomas Eglin; Bent Tolstrup Christensen; Philippe Ciais; Sabine Houot; Thomas Kätterer; Folkert Van Oort; Philippe Peylin; P. R. Poulton; Vladimir Romanenkov; Claire Chenu. Quantifying and isolating stable soil organic carbon using long-term bare fallow experiments. Biogeosciences 2010, 7, 3839 -3850.

AMA Style

PierreJean Barre, Thomas Eglin, Bent Tolstrup Christensen, Philippe Ciais, Sabine Houot, Thomas Kätterer, Folkert Van Oort, Philippe Peylin, P. R. Poulton, Vladimir Romanenkov, Claire Chenu. Quantifying and isolating stable soil organic carbon using long-term bare fallow experiments. Biogeosciences. 2010; 7 (11):3839-3850.

Chicago/Turabian Style

PierreJean Barre; Thomas Eglin; Bent Tolstrup Christensen; Philippe Ciais; Sabine Houot; Thomas Kätterer; Folkert Van Oort; Philippe Peylin; P. R. Poulton; Vladimir Romanenkov; Claire Chenu. 2010. "Quantifying and isolating stable soil organic carbon using long-term bare fallow experiments." Biogeosciences 7, no. 11: 3839-3850.

Review
Published: 06 September 2007 in Philosophical Transactions of the Royal Society B: Biological Sciences
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Agricultural lands occupy 37% of the earth's land surface. Agriculture accounts for 52 and 84% of global anthropogenic methane and nitrous oxide emissions. Agricultural soils may also act as a sink or source for CO 2 , but the net flux is small. Many agricultural practices can potentially mitigate greenhouse gas (GHG) emissions, the most prominent of which are improved cropland and grazing land management and restoration of degraded lands and cultivated organic soils. Lower, but still significant mitigation potential is provided by water and rice management, set-aside, land use change and agroforestry, livestock management and manure management. The global technical mitigation potential from agriculture (excluding fossil fuel offsets from biomass) by 2030, considering all gases, is estimated to be approximately 5500–6000 Mt CO 2 -eq. yr −1 , with economic potentials of approximately 1500–1600, 2500–2700 and 4000–4300 Mt CO 2 -eq. yr −1 at carbon prices of up to 20, up to 50 and up to 100 US$ t CO 2 -eq. −1 , respectively. In addition, GHG emissions could be reduced by substitution of fossil fuels for energy production by agricultural feedstocks (e.g. crop residues, dung and dedicated energy crops). The economic mitigation potential of biomass energy from agriculture is estimated to be 640, 2240 and 16 000 Mt CO 2 -eq. yr −1 at 0–20, 0–50 and 0–100 US$ t CO 2 -eq. −1 , respectively.

ACS Style

Pete Smith; Daniel Martino; Zucong Cai; Daniel Gwary; Henry Janzen; Pushpam Kumar; Bruce McCarl; Stephen Ogle; Frank O'mara; Charles Rice; Robert Scholes; Oleg Sirotenko; Stuart Howden; Tim A. McAllister; Genxing Pan; Vladimir Romanenkov; Uwe Schneider; Sirintornthep Towprayoon; Martin Wattenbach; Jo Smith. Greenhouse gas mitigation in agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences 2007, 363, 789 -813.

AMA Style

Pete Smith, Daniel Martino, Zucong Cai, Daniel Gwary, Henry Janzen, Pushpam Kumar, Bruce McCarl, Stephen Ogle, Frank O'mara, Charles Rice, Robert Scholes, Oleg Sirotenko, Stuart Howden, Tim A. McAllister, Genxing Pan, Vladimir Romanenkov, Uwe Schneider, Sirintornthep Towprayoon, Martin Wattenbach, Jo Smith. Greenhouse gas mitigation in agriculture. Philosophical Transactions of the Royal Society B: Biological Sciences. 2007; 363 (1492):789-813.

Chicago/Turabian Style

Pete Smith; Daniel Martino; Zucong Cai; Daniel Gwary; Henry Janzen; Pushpam Kumar; Bruce McCarl; Stephen Ogle; Frank O'mara; Charles Rice; Robert Scholes; Oleg Sirotenko; Stuart Howden; Tim A. McAllister; Genxing Pan; Vladimir Romanenkov; Uwe Schneider; Sirintornthep Towprayoon; Martin Wattenbach; Jo Smith. 2007. "Greenhouse gas mitigation in agriculture." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1492: 789-813.

Original article
Published: 26 May 2007 in Regional Environmental Change
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The Model of Humus Balance was used to estimate the influence of climate effects and changing agricultural practices on carbon (C) levels in soddy–podzolic soils in the Russian Federation for the years 2000–2050. The model was linked with a spatial database containing soil, climate and farming management layers for identification of spatial change of C sequestration potential. Analysis of relationships between C, soil texture and climate indicated that compared with a business-as-usual scenario, adaptation measures could increase the number of polygons storing soil organic carbon (SOC) by 2010–2020. The rate of possible C loss is sensitive to the different climate scenarios, with a maximum potential for SOC accumulation expected in 2030–2040, thereafter decreasing to 2050. The effect is most pronounced for the arid part of the study area under the emission scenario with the highest rate of increase in atmospheric CO2 concentration, supporting findings from the dynamic SOC model, RothC. C sequestration during the study period was permanent for clay and clay loam soils with a C content of more than 2%, suggesting that C sequestration should be focused on highly fertile, fine-textured soils. We also show that spatial heterogeneity of soil texture can be a source of uncertainty for estimates of SOC dynamics at the regional scale.

ACS Style

V. A. Romanenkov; J. U. Smith; Pete Smith; O. D. Sirotenko; D. I. Rukhovitch; I. A. Romanenko. Soil organic carbon dynamics of croplands in European Russia: estimates from the “model of humus balance”. Regional Environmental Change 2007, 7, 93 -104.

AMA Style

V. A. Romanenkov, J. U. Smith, Pete Smith, O. D. Sirotenko, D. I. Rukhovitch, I. A. Romanenko. Soil organic carbon dynamics of croplands in European Russia: estimates from the “model of humus balance”. Regional Environmental Change. 2007; 7 (2):93-104.

Chicago/Turabian Style

V. A. Romanenkov; J. U. Smith; Pete Smith; O. D. Sirotenko; D. I. Rukhovitch; I. A. Romanenko. 2007. "Soil organic carbon dynamics of croplands in European Russia: estimates from the “model of humus balance”." Regional Environmental Change 7, no. 2: 93-104.

Original article
Published: 25 May 2007 in Regional Environmental Change
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This study estimates the consequences of climate change on cropland with and without implementation of adaptation measures, paying special attention to the maintenance of soil organic carbon (C) stocks. We examine the possibility for regional sustainable agricultural management practice that combines both maintenance and gain in soil carbon level with profit maximization. Future scenarios of Regional Agricultural Production Systems (RAPS) were constructed for 2000–2070 based on linking the effects of global climate change, predicted change in productivity parameters for the main agricultural crops, land-use and soil database parameters. The RAPS were used to examine profitability and feasibility of alternative agricultural scenarios, based on an economic model. A number of recommendations for decision making were proposed based on an assessment of the efficiency of adaptation in animal husbandry and in the crop production sector, after analysis of current percentage of perennial grass in rotation in comparison with future economic scenarios.

ACS Style

I. A. Romanenko; V. A. Romanenkov; Pete Smith; J. U. Smith; O. D. Sirotenko; N. V. Lisovoi; L. K. Shevtsova; D. I. Rukhovich; P. V. Koroleva. Constructing regional scenarios for sustainable agriculture in European Russia and Ukraine for 2000 to 2070. Regional Environmental Change 2007, 7, 63 -77.

AMA Style

I. A. Romanenko, V. A. Romanenkov, Pete Smith, J. U. Smith, O. D. Sirotenko, N. V. Lisovoi, L. K. Shevtsova, D. I. Rukhovich, P. V. Koroleva. Constructing regional scenarios for sustainable agriculture in European Russia and Ukraine for 2000 to 2070. Regional Environmental Change. 2007; 7 (2):63-77.

Chicago/Turabian Style

I. A. Romanenko; V. A. Romanenkov; Pete Smith; J. U. Smith; O. D. Sirotenko; N. V. Lisovoi; L. K. Shevtsova; D. I. Rukhovich; P. V. Koroleva. 2007. "Constructing regional scenarios for sustainable agriculture in European Russia and Ukraine for 2000 to 2070." Regional Environmental Change 7, no. 2: 63-77.

Original article
Published: 24 April 2007 in Regional Environmental Change
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The CANDY model has been qualitatively assessed for simulating long-term dynamics of soil organic carbon and tested against different long-term experiments representing various land uses and geographical sites, but never before against conditions of the Former Soviet Union (FSU). Our goal was to simulate long-term trends in soil organic carbon for the long-term experiments of Barybino (Moscow region, Russia), Grakov (Kharkow region, Ukraine) and Yachenka (Minsk region, Belarus) representing the predominant arable soil types, climate conditions and typical management strategies for the investigated arable areas. The fit of modelled results to the observed data was evaluated to assess the suitability of the model for further applications in the FSU. The crop parameters of the CANDY model had to be adapted to the low yields observed under the Russian site conditions resulting in a higher sensitivity to crop-derived carbon input as a function of yield. The results show that the approach of treating the organic carbon situated in micro pores as inert, is an applicable solution for simulating soil carbon dynamics under Russian conditions. This evaluation of CANDY, against long-term experiments from Russia, gives confidence for its wider application in this region.

ACS Style

U. Franko; K. Kuka; Vladimir Romanenkov. Validation of the CANDY model with Russian long-term experiments. Regional Environmental Change 2007, 7, 79 -91.

AMA Style

U. Franko, K. Kuka, Vladimir Romanenkov. Validation of the CANDY model with Russian long-term experiments. Regional Environmental Change. 2007; 7 (2):79-91.

Chicago/Turabian Style

U. Franko; K. Kuka; Vladimir Romanenkov. 2007. "Validation of the CANDY model with Russian long-term experiments." Regional Environmental Change 7, no. 2: 79-91.