Pub Date : 2024-05-13DOI: 10.1134/s106422932460012x
S. Singh, A. B. Singh, A. Mandal, J. K. Thakur, N. K. Sinha, A. Das, R. Elanchezhian, P. S. Rajput, G. K. Sharma
Abstract
In recent years, many sustainable farming approachbased on natural and organicinputs are gaining popularityacross the world. However, information on its impacts on soil health is quite scanty. Therefore, in present study we evaluated the effect of nature-based farming and different nutrient management practices on soil chemical, biological and crop physiological attributes after three years of adopting various nutrient management practices includingorganic farming during the kharif season of 2021 and 2022. The treatments comprised of: T1—control, T2—nutrient supplement through indigenous natural preparation, T3—organic farming, T4—integrated crop management + natural pest control, and T5—integrated crop management with chemical pesticides (ICM-P). In terms of soil nutrients status, integrated crop management) with need-based chemical pesticides had the highest available macro and micronutrients, followed by ICM with natural-basedfarming. The organic farming practice had the lowest soil pH, EC and the highest soil organic carbon. The higher soil enzymatic and biochemical activity was found under the organic farming and natural preparation. Enzymatic indices, including the biological activity index and the geometric mean of enzyme activities were greater in organic farming and natural preparation compared to control. At higher soil depth, nutrient availability and biological activity declined. Plant total chlorophyll and nitrate reductase activity found highest under ICM-P at 60 days after sowing under the ICM-P treatment; however, it declined thereafter. Soil enzymatic activity and all available nutrients are positively correlated. Integrating nutrient sources through nature-basedand organic farming can benefit soil fertility, biological activity, and overall system sustainability.
{"title":"Response of Nature-Based and Organic Farming Practices on Soil Chemical, Biological Properties and Crop Physiological Attributes under Soybean in Vertisols of Central India","authors":"S. Singh, A. B. Singh, A. Mandal, J. K. Thakur, N. K. Sinha, A. Das, R. Elanchezhian, P. S. Rajput, G. K. Sharma","doi":"10.1134/s106422932460012x","DOIUrl":"https://doi.org/10.1134/s106422932460012x","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>In recent years, many sustainable farming approachbased on natural and organicinputs are gaining popularityacross the world. However, information on its impacts on soil health is quite scanty. Therefore, in present study we evaluated the effect of nature-based farming and different nutrient management practices on soil chemical, biological and crop physiological attributes after three years of adopting various nutrient management practices includingorganic farming during the kharif season of 2021 and 2022. The treatments comprised of: T1—control, T2—nutrient supplement through indigenous natural preparation, T3—organic farming, T4—integrated crop management + natural pest control, and T5—integrated crop management with chemical pesticides (ICM-P). In terms of soil nutrients status, integrated crop management) with need-based chemical pesticides had the highest available macro and micronutrients, followed by ICM with natural-basedfarming. The organic farming practice had the lowest soil pH, EC and the highest soil organic carbon. The higher soil enzymatic and biochemical activity was found under the organic farming and natural preparation. Enzymatic indices, including the biological activity index and the geometric mean of enzyme activities were greater in organic farming and natural preparation compared to control. At higher soil depth, nutrient availability and biological activity declined. Plant total chlorophyll and nitrate reductase activity found highest under ICM-P at 60 days after sowing under the ICM-P treatment; however, it declined thereafter. Soil enzymatic activity and all available nutrients are positively correlated. Integrating nutrient sources through nature-basedand organic farming can benefit soil fertility, biological activity, and overall system sustainability.</p>","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140936669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1134/s1064229323603475
Y. Yang, H. K. Yan, W. H. Tao, L. J. Su
Abstract
The Chinese Loess Plateau (CLP) plays a vital role as an ecological barrier in maintaining the hydrological and climatic conditions of the Yellow River Basin, preventing desertification, and preserving biodiversity. Conducting a systematic analysis and assessment of the saturated hydrological conductivity (Ksat) on the Loess Plateau is crucial for modeling and simulating processes like surface runoff and solute migration. However, due to the uncertainty in detecting the saturated hydraulic conductivity, there are very few regional spatial analyses of the saturated hydraulic conductivity of the CLP. The research results show that the Campbell model is more suitable for the CLP than others. Spatially, Ksat gradually decreases from northwest to southeast. The Ksat in the surface layer (0 cm) was significantly larger than that at the lower soil depths, and the Ksat variability of each soil layer was moderate. Moran;s I decreased as the lag distance increased; this indicated a positive spatial correlation between Ksat and the correlation gradually decreasing with distance. The scattered points are mainly located in the first quadrant, so the local spatial auto-correlation characteristics of the Ksat in this area are clustered with high values. The Ksat for different land cover on the CLP increases in the order grassland > forest land > agricultural land and increases with elevation. This study improves our understanding of land resources and ecological environment management in the CLP.
{"title":"Spatial Distribution and Variation Characteristics of Saturated Hydrologic Conductivity on the Chinese Loess Plateau","authors":"Y. Yang, H. K. Yan, W. H. Tao, L. J. Su","doi":"10.1134/s1064229323603475","DOIUrl":"https://doi.org/10.1134/s1064229323603475","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The Chinese Loess Plateau (CLP) plays a vital role as an ecological barrier in maintaining the hydrological and climatic conditions of the Yellow River Basin, preventing desertification, and preserving biodiversity. Conducting a systematic analysis and assessment of the saturated hydrological conductivity (<i>K</i><sub>sat</sub>) on the Loess Plateau is crucial for modeling and simulating processes like surface runoff and solute migration. However, due to the uncertainty in detecting the saturated hydraulic conductivity, there are very few regional spatial analyses of the saturated hydraulic conductivity of the CLP. The research results show that the Campbell model is more suitable for the CLP than others. Spatially, <i>K</i><sub>sat</sub> gradually decreases from northwest to southeast. The <i>K</i><sub>sat</sub> in the surface layer (0 cm) was significantly larger than that at the lower soil depths, and the <i>K</i><sub>sat</sub> variability of each soil layer was moderate. Moran;s <i>I</i> decreased as the lag distance increased; this indicated a positive spatial correlation between <i>K</i><sub>sat</sub> and the correlation gradually decreasing with distance. The scattered points are mainly located in the first quadrant, so the local spatial auto-correlation characteristics of the <i>K</i><sub>sat</sub> in this area are clustered with high values. The <i>K</i><sub>sat</sub> for different land cover on the CLP increases in the order grassland > forest land > agricultural land and increases with elevation. This study improves our understanding of land resources and ecological environment management in the CLP.</p>","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140936754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1134/s1064229324700303
P. Ilić, S. Ilić, Z. Mushtaq, A. Rashid, Lj. Stojanović Bjelić, D. Nešković Markić, S. Mrazovac Kurilić, Z. U. R. Farooqi, M. Y. Jat Baloch, T. Mehmood, Z. Ullah, S. Riaz
Abstract
Soil samples from wild solid waste dumpsites were collected in the Bijeljina-Zvornik region (Republic of Srpska, Bosnia and Herzegovina), and the concentrations potentionally toxic metals (Ni, Cr, Mn, Zn, Cu, Pb, Cd, Fe and Al). The disposal of waste at wild dumpsites has emerged as a serious environmental challenge affecting both developed and developing countries. This paper aims to provide an in-depth analysis of the complex issue of wild dumpsites, focusing on the contamination of the environment with toxic metals. The improper disposal of solid waste has become a global concern, with wild dumpsites being a significant component of the problem. In accordance with national legislation, the mean values for Cd and Ni exceeded the limit values. Very strong positive correlations are observed between Zn and Cu, between Cd and Pb and between Ni and Cr. The ecological risk assessments for Mn are extremely high; for Ni and Pb, they are high; for Zn, Cu and Cr, they are appreciable; and for Cd, they are moderate. The Pollution Load Index (PLI) and Contamination Factor were used to evaluate metal pollution in soil samples. PLI values exceeding 1.0 in five samples signify soil pollution, supported by mean values indicating contamination. Research findings reveal different contamination levels, with Pb, Cr, Cu, and Zn at low levels, and Ni and Cd at moderate levels. The visualized results of ecological risk assessments for heavy metals in the soil underscore the critical importance of continuous monitoring and effective management of heavy metals at illegal dumpsites to preserve and protect surrounding ecosystems. The use of Surfer 12 software and the kriging method has proven to be an invaluable tool for exploring the spatial distribution of toxic metals in the study area.
{"title":"Assessing the Ecological Risks and Spatial Distribution of Heavy Metal Contamination at Solid Waste Dumpsites","authors":"P. Ilić, S. Ilić, Z. Mushtaq, A. Rashid, Lj. Stojanović Bjelić, D. Nešković Markić, S. Mrazovac Kurilić, Z. U. R. Farooqi, M. Y. Jat Baloch, T. Mehmood, Z. Ullah, S. Riaz","doi":"10.1134/s1064229324700303","DOIUrl":"https://doi.org/10.1134/s1064229324700303","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Soil samples from wild solid waste dumpsites were collected in the Bijeljina-Zvornik region (Republic of Srpska, Bosnia and Herzegovina), and the concentrations potentionally toxic metals (Ni, Cr, Mn, Zn, Cu, Pb, Cd, Fe and Al). The disposal of waste at wild dumpsites has emerged as a serious environmental challenge affecting both developed and developing countries. This paper aims to provide an in-depth analysis of the complex issue of wild dumpsites, focusing on the contamination of the environment with toxic metals. The improper disposal of solid waste has become a global concern, with wild dumpsites being a significant component of the problem. In accordance with national legislation, the mean values for Cd and Ni exceeded the limit values. Very strong positive correlations are observed between Zn and Cu, between Cd and Pb and between Ni and Cr. The ecological risk assessments for Mn are extremely high; for Ni and Pb, they are high; for Zn, Cu and Cr, they are appreciable; and for Cd, they are moderate. The Pollution Load Index (PLI) and Contamination Factor were used to evaluate metal pollution in soil samples. PLI values exceeding 1.0 in five samples signify soil pollution, supported by mean values indicating contamination. Research findings reveal different contamination levels, with Pb, Cr, Cu, and Zn at low levels, and Ni and Cd at moderate levels. The visualized results of ecological risk assessments for heavy metals in the soil underscore the critical importance of continuous monitoring and effective management of heavy metals at illegal dumpsites to preserve and protect surrounding ecosystems. The use of Surfer 12 software and the kriging method has proven to be an invaluable tool for exploring the spatial distribution of toxic metals in the study area.</p>","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140936750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1134/s1064229323603402
Huan Li, Jiamin Zhang, Yanling Wang
Abstract
Efficient utilization of agricultural soil phosphorus (P) and mitigation of loss risks necessitate a precise evaluation of soil P storage capacity (SPSC). This study compared the effectiveness of four soil test P methods (Oxalate, Bray, Olsen, and Mehlich-1) to accurately estimate SPSC and simplify P loss risk assessment of soils located in a typical red soil in the Sunjia Watershed, Yingtan, Jiangxi Province, China. The extraction efficiencies of these methods for Fe, Al, P, and P saturation ratio (PSR) were compared, and conversion equations between SPSCOx (extracted using Oxalate) and soil test P (Bray, Olsen, and Mehlich-1) were derived through fitting analysis. The results underscored Oxalate as the optimal extractant for gauging P loss risk in red soils. Structural equation modeling (SEM) unveiled the substantial impact of amorphous iron-aluminum oxides (Feo, Alo) on SPSC, with Feo exerting a more pronounced influence than Alo. Among soil physicochemical properties, total carbon emerged as the most influential, and a strong interaction was noted between the physicochemical properties and Feo and Alo. The study delineated three crucial P concentration ranges for practical P management in red soils. When Bray-P < 48.2 mg kg–1, the soil acted as a P sink with no P loss risk, allowing for continued P application to augment crop yield. Conversely, within 48.2 mg kg–1 < Bray-P ≤ 55.2 mg kg–1, the soil attained its maximum secure P capacity; further P application significantly escalated the peril of P loss. Subsequently, when Bray-P > 55.2 mg kg–1, the soil turns into a source of P release. This signifies an escalated risk of P loss, demanding the immediate implementation of environmental protective measures.
{"title":"Comparative Analysis of Four Methods for Accurate Estimation of Soil Phosphorus Storage Capacity: a Case Study in a Typical Red Soil","authors":"Huan Li, Jiamin Zhang, Yanling Wang","doi":"10.1134/s1064229323603402","DOIUrl":"https://doi.org/10.1134/s1064229323603402","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Efficient utilization of agricultural soil phosphorus (P) and mitigation of loss risks necessitate a precise evaluation of soil P storage capacity (SPSC). This study compared the effectiveness of four soil test P methods (Oxalate, Bray, Olsen, and Mehlich-1) to accurately estimate SPSC and simplify P loss risk assessment of soils located in a typical red soil in the Sunjia Watershed, Yingtan, Jiangxi Province, China. The extraction efficiencies of these methods for Fe, Al, P, and P saturation ratio (PSR) were compared, and conversion equations between SPSC<sub>Ox</sub> (extracted using Oxalate) and soil test P (Bray, Olsen, and Mehlich-1) were derived through fitting analysis. The results underscored Oxalate as the optimal extractant for gauging P loss risk in red soils. Structural equation modeling (SEM) unveiled the substantial impact of amorphous iron-aluminum oxides (Fe<sub>o</sub>, Al<sub>o</sub>) on SPSC, with Fe<sub>o</sub> exerting a more pronounced influence than Al<sub>o</sub>. Among soil physicochemical properties, total carbon emerged as the most influential, and a strong interaction was noted between the physicochemical properties and Fe<sub>o</sub> and Al<sub>o</sub>. The study delineated three crucial P concentration ranges for practical P management in red soils. When Bray-P < 48.2 mg kg<sup>–1</sup>, the soil acted as a P sink with no P loss risk, allowing for continued P application to augment crop yield. Conversely, within 48.2 mg kg<sup>–1</sup> < Bray-P ≤ 55.2 mg kg<sup>–1</sup>, the soil attained its maximum secure P capacity; further P application significantly escalated the peril of P loss. Subsequently, when Bray-P > 55.2 mg kg<sup>–1</sup>, the soil turns into a source of P release. This signifies an escalated risk of P loss, demanding the immediate implementation of environmental protective measures.</p>","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140936752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-13DOI: 10.1134/s1064229324700297
S. M. Mahdavi, H. Fujimaki
Abstract
In areas with restriction of water resource access for agricultural activities, one of the most challenging issues is determining irrigation depth in such a way that gets high efficiency. A field experiment was conducted to evaluate three different irrigation scenarios; in which irrigation depth was determined by WASH_1D/2D model and FAO method; as well as rainfed (no irrigation) treatment, in the fine textured soil under potato cultivation. The results showed that simulating method could optimize water use with considering weather forecast data as 6 irrigation events and 12.6 mm depth, compared to 10 irrigation events and 37.3 mm depth for FAO method. A significant difference was observed among gained yield under irrigated and rainfed plots that implied irrigation importance even in rainy season. The applied water efficiency values for simulated and FAO methods was gained as 198 and 70 g/mm, respectively; which indicate the WASH_1D/2D model may be an appropriate choice to determine irrigation depth considering water use optimizing in regions with water supply problems.
{"title":"Optimization of Irrigation Depth Considering Weather Forecast and Water Use Efficiency in Potato Cultivation","authors":"S. M. Mahdavi, H. Fujimaki","doi":"10.1134/s1064229324700297","DOIUrl":"https://doi.org/10.1134/s1064229324700297","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>In areas with restriction of water resource access for agricultural activities, one of the most challenging issues is determining irrigation depth in such a way that gets high efficiency. A field experiment was conducted to evaluate three different irrigation scenarios; in which irrigation depth was determined by WASH_1D/2D model and FAO method; as well as rainfed (no irrigation) treatment, in the fine textured soil under potato cultivation. The results showed that simulating method could optimize water use with considering weather forecast data as 6 irrigation events and 12.6 mm depth, compared to 10 irrigation events and 37.3 mm depth for FAO method. A significant difference was observed among gained yield under irrigated and rainfed plots that implied irrigation importance even in rainy season. The applied water efficiency values for simulated and FAO methods was gained as 198 and 70 g/mm, respectively; which indicate the WASH_1D/2D model may be an appropriate choice to determine irrigation depth considering water use optimizing in regions with water supply problems.</p>","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140941952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1134/s1064229323603785
A. B. Gyninova, M. I. Gerasimova, M. P. Lebedeva
{"title":"Cryogenic Features in Meadow Podbels of the Middle Amur Lowland as Revealed by Micromorphological Analysis","authors":"A. B. Gyninova, M. I. Gerasimova, M. P. Lebedeva","doi":"10.1134/s1064229323603785","DOIUrl":"https://doi.org/10.1134/s1064229323603785","url":null,"abstract":"","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141043024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1134/s1064229323603633
L. D. Balsanova, B. B. Naidanov, A. V. Balsanov
{"title":"Morphogenetic Features of Soils of the Svyatoi Nos Peninsula Coast (Eastern Cisbaikalia)","authors":"L. D. Balsanova, B. B. Naidanov, A. V. Balsanov","doi":"10.1134/s1064229323603633","DOIUrl":"https://doi.org/10.1134/s1064229323603633","url":null,"abstract":"","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141039979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1134/s1064229323603657
M. Okoneshnikova, S. Lessovaia, A. Ivanova, R. Desyatkin
{"title":"Soils of Tundra and Sub-Tundra Larch Open Woodland of Tit-Ary Island (the Lena Delta): Genesis, Properties, and Distribution Patterns","authors":"M. Okoneshnikova, S. Lessovaia, A. Ivanova, R. Desyatkin","doi":"10.1134/s1064229323603657","DOIUrl":"https://doi.org/10.1134/s1064229323603657","url":null,"abstract":"","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141029267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1134/s1064229324600027
D. Fedorov-Davydov, S. P. Davydov, S. V. Gubin, A. I. Davydova, O. G. Zanina, M. Shchelchkova, G. Boeskorov
{"title":"Soils of Steppe Areas in the Cis-Tundra Open Woodland Subzone on the Right Bank of the Kolyma River in Its Lower Reaches","authors":"D. Fedorov-Davydov, S. P. Davydov, S. V. Gubin, A. I. Davydova, O. G. Zanina, M. Shchelchkova, G. Boeskorov","doi":"10.1134/s1064229324600027","DOIUrl":"https://doi.org/10.1134/s1064229324600027","url":null,"abstract":"","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141050682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-01DOI: 10.1134/s106422932360375x
V. A. Romanenkov, J. L. Meshalkina, A. Y. Gorbacheva, A. N. Krenke, I. K. Petrov, O. M. Golozubov, D. Rukhovich
{"title":"Maps of Soil Organic Carbon Sequestration Potential in the Russian Croplands","authors":"V. A. Romanenkov, J. L. Meshalkina, A. Y. Gorbacheva, A. N. Krenke, I. K. Petrov, O. M. Golozubov, D. Rukhovich","doi":"10.1134/s106422932360375x","DOIUrl":"https://doi.org/10.1134/s106422932360375x","url":null,"abstract":"","PeriodicalId":11892,"journal":{"name":"Eurasian Soil Science","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141045592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号