Soil Science Annual最新文献

{"title":"Luvisols as a habitat for larch stands: a case study from the Miechowska Upland, S Poland","authors":"Marta Kempf, E. Błońska, J. Lasota","doi":"10.37501/soilsa/174974","DOIUrl":"https://doi.org/10.37501/soilsa/174974","url":null,"abstract":"Our research aimed to present the properties of Luvisols developed from the loess of the Mie-chowska Upland, S Poland, as a favourable substrate shaping habitats for larch stands. Detailed characteristics covered ten research plots in mature stands, where Polish larch (Larix decidua var. polonica ) was the main species. On each research plot, a soil pit was dug and the separated genetic horizons were described. The diagnosis of the habitat type was developed using the Trophic Soil Index (SIG). Samples were taken from each genetic horizon for laboratory analysis. Basic physico-chemical properties (particle size distribution, pH, total organic C and total N content, available phosphorus content and sorption properties) were determined in the soil samples. As a result of the research, it was found that the Polish larch can create high-production stands in the fresh upland broadleaved forest sites (Lwy ż ś w) with the admixture of deciduous species (common beech Fagus sylvatica , English oak Quercus robur , common hornbeam Carpinus betulus , common sycamore Acer pseudoplatanus ). The investigated soils were described as Haplic Luvisols, which differed in the characteristics of humus horizons. The high share of larch (40–60%) growing on Luvisols does not negatively affect the properties of humus horizons and the degree of leaching of Luvisols created from loess. In the case of stands with a predominant share of larch (>60%), there is a tendency to deteriorate the properties of the humus accumulation horizons and the formation of the ectohumus horizon on the surface. SIG indicates that the tested soils shape the eutrophic fresh upland broad-leaved forest sites. The decrease in the SIG value in two cases is the result of the deterioration of the properties of humus horizons.","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139282759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating potential of municipal sewage sludge for agricultural use","authors":"Mariusz Sebastian Golbiak, Beata Rutkowska","doi":"10.37501/soilsa/169923","DOIUrl":"https://doi.org/10.37501/soilsa/169923","url":null,"abstract":"The vegetation experiment investigated the effect of municipal sewage sludge and farmyard manure on the yielding and chemical composition of potatoes of Irga cultivar, as well as selected physico-chemical soil properties. The soil was subject to the determination of pH, organic carbon content, total nitrogen, available P and K","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82075186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Marginal lands: a review of papers from the Scopus database published in English for the period of 1979–2022","authors":"Ilyaskhoja Jumaniyazov, Mukhiddin Juliev, Azizbek Orazbaev, Temurbek Reimov","doi":"10.37501/soilsa/169657","DOIUrl":"https://doi.org/10.37501/soilsa/169657","url":null,"abstract":"A marginal land de fi nition is a contemporary scienti fi c term that is constantly changing and un-stoppable. There are many ways in which marginal lands are referred to, unproductive lands, including waste lands, unutilized lands, idle lands, abandoned lands, or degraded land. In the present research, we tried to collect all Scopus-based publications in English from 1979 to 2022 years using crucial keywords: Marginal lands, Land degradation, and Agricultural land. We analyzed the most popular journals, top authors, top-cited papers, top countries, top-cited years, etc. A common way to identify ML is to use biophysical constraints related to agricultural productivity or bioenergy. For instance, using a multi-criteria decision approach based on Geographic Information Systems (GIS) and remote sensing, combined data on land use/land cover (LULC), slope, soil depth, erosion, moisture, water holding capacity, texture, and availability of nutrient to study the land suitability for agriculture in hilly zones. There is a high potential for applying remote sensing (RS) and geographical information systems (GIS) for the mapping and monitoring of marginal lands. In addition, the role of remote sensing (RS) and geographic information systems (GIS) in other disciplines around the world is signi fi cantly high. In contrast, in this research work, we fi nd out that the usage scale of RS and GIS technologies is not common all around the world on the given marginal land issues.","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79712070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Responses of soil respiration and organic carbon to organic soil amendments in upland paddy","authors":"N. Nurhidayati, Abdul Basit, Sama' Iradat Tito, Masyhuri Machfudz, A. Ansari","doi":"10.37501/soilsa/169655","DOIUrl":"https://doi.org/10.37501/soilsa/169655","url":null,"abstract":"Carbon dioxide (CO 2 ) is a signi fi cant greenhouse gas (GHG) accounting for 60% of the total green-house effect. Soil respiration is a measure of the CO 2 released from soil. Rice was the largest contributing plant commodity of total emission by 12%. In the event of growing threats of global warming due to GHG emissions, reducing CO 2 emission by sequestering C in the soil is of supreme concernment. Improved management practices can rebuild C stocks in agricultural soils and help mitigate CO 2 emissions. A fi eld study to assess how organic soil amendments in fl uence soil respiration, C-organic content, and soil properties was conducted in upland paddy fi eld. Treatments were: chemical fertilizer (F1), combination of chemical fertilizer and cow dung manure (F2), chemical fertilizer and vermicompost (F3), chemical fertilizer and liquid vermicompost powder (F4), cow dung manure+biochar (F5), vermicompost+biochar (F6) and liquid vermicompost powder+biochar (F7). All treatments tested almost had the same pattern of respiration rates starting before the application of the organic soil amendment until three months after planting. The highest respiration rate was found at 1 month after planting. Soil amendment (F4 and F7) had the lowest soil respiration rates in some measurements. The highest organic C content at three months after planting was found in the F6 and F3 treatments. The most in fl uential factor on the respiration rate are soil moisture content and soil temperature. The results demonstrate the viability of vermicompost either in combination with chemical fertilizers or alone for soil amendment to maintain organic soil carbon for short period of time (~ 3 months).","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73230136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the different soil management effects on salinity control in maize cropping by HYDRUS-2D","authors":"Mahdiye Latifi, Hadi Ramezani Etedali, Masoud Soltani","doi":"10.37501/soilsa/169659","DOIUrl":"https://doi.org/10.37501/soilsa/169659","url":null,"abstract":"Continuous irrigation causes soil salinity and decreases soil fertility. The purpose of this study is to fi nd methods that can prevent soil salinity. Thus, a soil column with 15 cm stack height, under maize cultivation and tape irrigation has been simulated by HYDRUS–2D. In order to assess the effects of different scenarios including tape location (stack/ditch), stack height (in drip and surface irrigation), using mulch and irrigation water salinity on salinity accumulation in root zone in different time frames. The results show placing tapes on ditch will increase soil primarily salinity (0.65 dS m –1 ) 8%, 8% and 10% lower than placing it on the stack after 1, 5 and 10 years. Also, height stack is not very effective for controlling salinity in both drip and surface irrigation. Because, assessing soil columns with 0, 10, 15 and 20 cm stack height showed neglectable difference between salinity both in short term and long–term scenarios (according to variance analysis test). Using mulch is an effective way to control salinity because it can decrease evaporation. After 1, 5 and 10 years of irrigation in mulch presence, salinity increased 34.5%, 42.8% and 50% lower than without mulch scenario. Also, irrigating soil by water of different salinities including 0.7, 1.7 and 2.7 dS m –1 showed 77.5%, 83.5% and 84.2% increase in salinity after 10 years ago.","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83852387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping carbon dioxide (CO2) emissions from peat subsidence using carbon parameters and InSAR observations in south Kalimantan, Indonesia","authors":"Noorkomala Sari, Noorlaila Hayati, Maulida Annisa Uzzulfa, Rahmat Arief, T. Krisna","doi":"10.37501/soilsa/169656","DOIUrl":"https://doi.org/10.37501/soilsa/169656","url":null,"abstract":"Peatlands are recognized as one of the largest terrestrial carbon sinks and are pivotal in efforts to mitigate climate change. Given this, Indonesia has committed to managing its peatlands, which have been subjected to drainage, deforestation, fi res, and conversion for development. As of 2015, the Center for Agricultural Land Resources has mapped 107,344 ha of peatlands in South Kalimantan Province. However, in 2019, forest fi res destroyed 2,400 ha of land, leading to the decomposition of surface peat areas, land subsidence, and the release of carbon into the atmosphere as CO 2 . This study aimed to quantify the widespread loss of peat carbon using the PS-InSAR (Persistent Scatterer Inter-ferometric Synthetic Aperture Radar) technique. Speci fi cally, 66 Sentinel 1 SAR images of SLC were used to map subsidence in the peatland area between January 2019 and January 2021. The carbon content and bulk density of peatland were then quanti fi ed to estimate CO 2 emission. The results obtained through the PS-InSAR technique showed that the highest level of peat subsidence was at –50 mm year –1 in the Landasan Ulin Sub–district of Banjarbaru Regency. Furthermore, subsidence was identi fi ed in 6,920.5 ha of peatland in the study area. Subsidence, peat area, and carbon content data from SAR images, optical images, and peat soils were gathered through fi eld surveys and websites (GSOCMap and Zenodo) to estimate CO 2 emission. The estimated CO 2 emissions based on in–situ and website data were the highest at 0.29 t C ha –1 year –1 and 0.04 t C ha –1 year –1 in Beruntung Baru Sub-district, Banjar Regency, and Bumi Makmur Sub-district, Tanah Laut Regency, respectively.","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88290029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Liming effect on soil organic matter quality in grassland","authors":"Ľ. Pospíšilová, Luboš Sedlák, Kateřina Boturová, Jakub Prudil, Jana Plisková, L. Menšík","doi":"10.37501/soilsa/169271","DOIUrl":"https://doi.org/10.37501/soilsa/169271","url":null,"abstract":"","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82916118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stability of organic matter in forest soils of the middle Central Atlas: Extraction by biochemical fractionation","authors":"Mohamed El Mderssa, Fouad Malki, Hicham Ikraoun, Younes Abbas, Meysara Elmalki, L. Nassiri, J. Ibijbijen","doi":"10.37501/soilsa/169154","DOIUrl":"https://doi.org/10.37501/soilsa/169154","url":null,"abstract":"Organic matter in the soil component best reflects the interactions between the soil, the biosphere, and the atmosphere, because it depends both on the nature of the soil and the bioclimatic environment, which makes it an excellent indicator of the environment (Volkoff et al., 1988). Soil organic matter consists of molecules of different sizes which are more or less associated with each other and produced by the chemical transformation of bio-based substances (miscellaneous plant litter and animal) during humification (Borie, 2011). Organic matter transformations are carried out mainly by the processes of recombination (humification) and degradation (mineralization). The formation of stable products, “humus formation or humification”, consists of recombinations and polymerizations of organic molecules, more or less complex. The biochemical nature of the organic matter brought to the soil determines the humification process (Borie, 2011). Complex humification of genesis mechanisms generates humic substances (Stevenson, 1994; Berthe, 2006), including, humin, humic acids (HA), and fulvic acids (FA), involving a variety of chemical reactions and biological transformation processes. Many factors that influence them include the origin and nature of the organic matter, the microorganisms involved in the decomposition process, and the microfauna as biological factors, as well as some physical parameters like pH, temperature, humidity, and soil aeration (Tahiri et al., 2014). The evolution of humification over time is towards obtaining high molecular weights by increasing condensation. Fulvic acids (FA) are the lightest formed early process, followed by humic acids (HA). Humin is the latest step in humification and has a very high molecular weight (Robert, 2008). Moroccan forest ecosystems, like Mediterranean forests, are composed of heterogeneous species, often clear and with diverse structures. These ecosystems generally meet their own nutrient needs through mineralization and organic matter storage in the soil. Humic substances, naturally present in a diffuse way in these * Stability of organic matter in forest soils of the middle Central Atlas: Extraction by biochemical fractionation","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76058693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of ageing process on the release of arsenic into soil pore water and related phytotoxicity assessed based on seed germination","authors":"A. Dradrach, Natalia Jędroszka, Katarzyna Szopka, Daniel Pruchniewicz, A. Karczewska","doi":"10.37501/soilsa/169158","DOIUrl":"https://doi.org/10.37501/soilsa/169158","url":null,"abstract":"Phytotoxic effects caused by soil contaminants depend both on their total concentrations and also on their forms, in particular those that can be easily released into soil pore water. The contaminants introduced into soil in water soluble forms undergo various transformations referred to as “ageing” which causes reduction of their solubility and toxicity. In this study, we examined the dynamics of such changes under controlled conditions in an incubation experiment. Two relatively light soils, differing in texture (loamy sand and sandy loam), and brought to three various pH ranges, were spiked with water solution of sodium arsenate to obtain different soil concentrations of As, up to 1000 mg·kg –1 . The soils were incubated at constant moisture (80% of water holding capacity) for three months. The changes in water extractability of As over time were examined. The phytotoxicity of As was assessed based on the reduction of germination, using the seeds of two different plant species: white mustard and red fescue. We found that the process of As immobilization in light mineral soils, poor in organic matter, proceeded quickly, and the concentrations of water-soluble As in these soils dropped signi fi cantly within one week. The dynamics of those changes depended on soil properties and pH, and As immobilization was most e ffi cient under acidic conditions. There were no signi fi cant differences between the toxicity of As to both plant species examined, as measured in the germination test. The effective concentration of soluble As in soil, resulting in a 50% reduction in the number of germinated seeds, was assessed at about 100 mg·kg –1 . The results provide a reference base for further experiments with spiked soils, and will be used in examination of As binding mechanisms in soils.","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89030536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applicability of machine learning models for predicting soil organic carbon content and bulk density under different soil conditions","authors":"Fatemeh Hateffard, Gábor Szatmári, T. Novák","doi":"10.37501/soilsa/165879","DOIUrl":"https://doi.org/10.37501/soilsa/165879","url":null,"abstract":"A reliable overview of the spatial distribution of soil properties is a straightforward approach in soil policies and decision-making. Soil organic carbon (SOC) content, SOC stock and bulk density (BD) directly affect soil quality and fertility. Therefore, an accurate assessment of these crucial soil parameters is required. To do this, we used machine learning algorithms (MLAs) including, multiple linear regression (MLR), random forest (RF), arti fi cial neural network (ANN), and support vector machine (SVM) with the help of environmental covariates to predict SOC content, BD, and SOC stock. The study was conducted in two different areas, Látókép and Westsik (East Hungary), both experimental research fi elds but different from physio geographic points of view. Thirty topsoils (0–10 cm) samples were collected for each study area using conditioned Latin Hypercube Sampling strategy. Environmental covariates were extracted from a digital elevation model (DEM) and satellite images based on the representation of soil forming factors. We validated the results by randomly splitting the dataset into a train (two-third) and test (one-third) and calculated the root mean square error and R 2 . Our results showed that RF provided the most accurate spatial prediction with R 2 of about 80% for each soil property in both study areas. This study highlighted the importance of terrain attributes (including plan and pro fi le curvature, elevation and valley depth) and NDVI derived from satellite images in presenting a spatial distribution of selected soil properties in two different areas. We conclude that comparing these methods can help to determine the most accurate maps under diverse geographical conditions and heterogeneities at different scales, which can be used in precision soil quality management.","PeriodicalId":44772,"journal":{"name":"Soil Science Annual","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74739886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}