Heavy metal pollution in Mongolian-Manchurian grassland soil and effect of long-range dust transport by wind

Environment International, Год журнала: 2023, Номер 177, С. 108019 - 108019

Опубликована: Июнь 3, 2023

Grasslands provide a range of valuable ecosystem services, but they are also particularly fragile ecosystems easily threatened by human activities, such as long-term open-pit mining and related industrial activities. In grassland area, dust containing heavy metal(loid)s generated mines may further migrate to remote places, few studies have focused on the long-range transport contaminants an important pollution source. present study, one largest most intact ecosystems, Mongolian-Manchurian steppe, was selected investigate its status track potential sources. A total 150 soil samples were collected explore reginal distribution nine that has risk in grassland. We conducted combined multi-variant analysis positive matrix factorization (PMF) machine learning, which foregrounded source inspired hypothesis novel stochastic model describe distribution. Results showed four different sources accounting for 44.44% (parent material), 20.28% (atmospheric deposition), 20.39% (farming), 14.89% (transportation) concentration, respectively. Factor 2 indicated coal surface lead significant enrichment As Se with their concentration far above global average level, from other reported areas. Machine learning results confirmed atmospheric topographic features contamination controlling factors. The proposed As, Cu released will be transported over long distance under prevailing monsoon, until finally deposited windward slope mountain due terrain obstruction. wind deposition phenomenon temperate grassland, making it cannot ignored. Evidence this study reveals urgency precautions around areas provides basis management control policies.

Язык: Английский

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Spatial assessment of topsoil zinc concentrations in Europe

The Science of The Total Environment, Год журнала: 2023, Номер 892, С. 164512 - 164512

Опубликована: Июнь 1, 2023

Zinc (Zn) is essential to sustain crop production and human health, while it can be toxic when present in excess. In this manuscript, we applied a machine learning model on 21,682 soil samples from the Land Use Coverage Area frame Survey (LUCAS) topsoil database of 2009/2012 assess spatial distribution Europe Zn concentrations measured by aqua regia extraction, identify influence natural drivers anthropogenic sources concentrations. As result, map was produced showing at resolution 250 m. The mean predicted concentration 41 mg kg-1, with root squared error around 40 kg-1 calculated for independent samples. We identified clay content as most important factor explaining overall Europe, lower coarser soils. Next texture, low were found soils pH (e.g. Podzols), well above 8 (i.e., Calcisols). presence deposits mining activities mainly explained occurrence relatively high 167 (the one percentile highest concentrations) within 10 km these sites. addition, higher levels grasslands regions livestock density may point manure significant source developed study used reference eco-toxicological risks associated areas deficiency. provide baseline future policies context pollution, nutrition.

Язык: Английский

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Sustainable soil management for food security

Soil Use and Management, Год журнала: 2023, Номер 39(1), С. 1 - 7

Опубликована: Янв. 1, 2023

Food security is one of the major challenges modern society (Prosekov & Ivanova, 2018). Globally food production needs to be increased by 70% in order meet demand a growing population reaching 9.7 billion 2050 (Cole et al., It was estimated that approximately 768 million people were hunger as 2021 (FAO, 2022b). The situation exacerbated ongoing coronavirus pandemic, regional conflicts and global environmental changes, which pose serious challenge United Nations sustainable development goal ending hunger. Based on data from Agriculture Organization (FAO) (see Figure 1), number has 34% 5 years period between 2017 2021, represents reversal trend previous two decades. more Africa, where been continuously rising since 2010 62% then. Soil ultimate defence security, producing nearly 95% our directly or indirectly 2015). However, health soil threatened variety pressing factors, including loss nutrients (Lal, 2009), diminishing organic carbon (Smith, 2008), pollution (Beans, 2021), salinization (Singh, 2022), erosion (Borrelli 2020; Starke 2020) decline biodiversity (Guerra 2021; Hou, 2022a). This turn resulted both insufficient poor nutritional quality, thus jeopardizing human (Gashu Oliver Gregory, To address these challenges, we must enhance understanding balanced integrated nutrient management, pros cons conservation agriculture, adaptation mitigation climate change incorporation innovative technologies such big digital farming into practice. management crop yield are most important research topics science (Havlin, Ray 2012). Web Science, annual output linking phosphorus 12-fold 1990, same period, nitrogen 9-fold. As 2 shows, pace increase accelerated 2015, with recent trends exceeding long-term exponential growth trajectory. coincidence with, but may also reflect driver–effect relationship of, Sustainable Development Goals established 2015 2016; UN, UN-SDG specifically calls for elimination SDG #2, several other SDGs, #1 no poverty #3 healthy lives, all related yield. requires supply. many smallholder farmers not capable achieving this due lack awareness know-how, well economic constraints (Chikowo 2014; Njoroge 2017). often encountered limiting factor, have focused In north-western Himalayas India, heavy reliance urea application results an average maize productivity 2.5 t/ha, only 43% world 5.75 t/ha. attributed acidification, shortage sulphur potassium general (Thakur 2022). Excessive can result water eutrophication leaching (Zou, Wang, facilitated natural plant species. A 23 study States showed land 16 perennial grassland species 30% ~ 90% comparison monocultures (Furey Tilman, 2021). Cropland sustainability countries depleting phosphate rock reserves low use efficiency (Haygarth Zou, Zhang, Davidson, supply phosphorus, especially during early height strong predictor (Pedersen availability affected pH. liming widely applied strategy alleviating problems associated acidification (Fageria Baligar, 2008; Holland 2018); however, it affect uptake its lower mobility under high Therefore, coordinate P-fertilization, accordance types physicochemical properties (Christensen Biochar effectively wheat low-yield farmlands matter contents (Dong 8-year-long field Ethiopia found bone char biochar significantly soybean, soil-P desorption capacity enhanced P (Wakweya 55% saline-alkali soils Yellow River Delta China (Wang Conservation agriculture practices include minimum mechanical disturbance no-till, permanent cover residues and/or crops, diversification rotation 2022a; Hobbs 2008). When properly implemented, they improved aggregation (Sithole 2019; Veloso 2020), higher holding (Eze penetration resistance (Jat 2018), while minimizing impact environment rendering sequestration benefits (Chai Islam During years, practice expanded rapidly scale. 2015/16, 12.5% cropland practiced mainly South North America (Kassam 2019). developing rendered disappointing (Giller adoption farmland sizes expected (Lu effect depends planting choices, site characteristics weather conditions (Li 2018; Sun 2020). root architecture aggregate (Grunwald Chemical composition hemicellulose lignin contents, affects accumulation labile stable fractions (de Carvalho Northeast China, meta-analysis no-till renders than conventional tillage when mean temperature (MAT) 6°C; MAT 3°C, (He colder weather, rotational ridge subsoiling optimum maintain An cropping system combining relay planting, intercropping, strip rotation, mulching, 16% 50% decreasing footprint 17% traditional monoculture By farming, GHG emission row reduced 71% over next 15 (Northrup Climate temperature, severe drought flooding threat (Nottingham Zurek under-developed sub-Saharan Africa (Qin, Climate-smart strategies mitigate risks (Hou, 2022b; Nyagumbo discussed above align (Milder 2011; Thierfelder Under conditions, amendments straw ash retention (Bruun Rhizosphere microbiomes assist render drought-resilient Vries help facilitate mitigation. largest terrestrial pool holds much promise regulating (Gherardi Sala, Hein Walker Depending landscape position texture, amendment used suppress (Abagandura fertilizer N2O inorganic (Chirinda Lawrence There trade-offs address. For instance, future warming peatland, (Matysek table depth need managed delicately reduce maintaining productive peatlands (Evans complex dynamics influencing factors make difficult real-time decision management. better quantitative relationships modelling tools solve practical problems. example, decomposition exogenous matters, animal manures composts, simulated models built upon extensive incubation experiments 3) (Levavasseur More predictive developed validated means managing sustainably conditions. heterogeneity leads spatial variation yield, requiring site-specific (Ameer Best relies in-field measurement remote sensing quality indicators (Ren mapping their (Gray 2022; Keshavarzi systematic literature review continuous attributes common Australia, followed Brazil 4). Most publications some sort validation; them information sampling design/support uncertainty analysis (Piikki Expert opinion combined scoring functions further optimize (Ghorai Mihoub imperative manage resources ensure security. Balanced fundamental prerequisite sustained instrumental protecting increasing production. adapt changing adopting climate-smart Scientists range tools, methods, empower there still gaps theory Researchers policymakers work toward practicality

Язык: Английский

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Soil quality assessment based on machine learning approach for cultivated lands in semi-humid environmental condition part of Black Sea region

Archives of Agronomy and Soil Science, Год журнала: 2023, Номер 69(15), С. 3514 - 3532

Опубликована: Авг. 17, 2023

ABSTRACTTo manage arable areas according to land resources for future generations, it is crucial determine the quality of soils. The main purpose this study identify soil cultivated lands in semi-humid terrestrial ecosystem Black Sea region. Multi-criteria decision-analysis was performed weighted linear combination approach and standard scoring function (linear-L nonlinear-NL) integrated with GIS techniques interpolation models It tested predict index (SQI) values using artificial neural network (SQIANN). obtained method ranged from 0.444 0.751, while those non-linear 0.315 0.683. As a result, we determined indices cultivation areas. According our statistical analysis, there were no statistically significant differences between SQIL SQIL-ANN same results found SQINL SQINL-ANN. cluster 98.2% similarity SQIL-ANN, 99.2% SQINL-ANN determined. In addition, spatial distribution maps by both clustering analysis geostatistical showed quite lot SQI values.KEYWORDS: ANNmachine learningsoil qualitysustainable agriculturesoil management Disclosure statementNo potential conflict interest reported author(s).Data availability StatementData will be made available on request.Supplementary MaterialSupplemental data article can accessed online at https://doi.org/10.1080/03650340.2023.2248002

Язык: Английский

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Towards site-specific management of soil organic carbon: Comparing support vector machine and ordinary kriging approaches based on pedo-geomorphometric factors

Computers and Electronics in Agriculture, Год журнала: 2023, Номер 216, С. 108545 - 108545

Опубликована: Дек. 17, 2023

Язык: Английский

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Different approaches to estimating soil properties for digital soil map integrated with machine learning and remote sensing techniques in a sub-humid ecosystem

Environmental Monitoring and Assessment, Год журнала: 2023, Номер 195(9)

Опубликована: Авг. 17, 2023

Язык: Английский

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Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms

Geoderma Regional, Год журнала: 2022, Номер 31, С. e00584 - e00584

Опубликована: Окт. 1, 2022

Язык: Английский

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Active learning-based random forest algorithm used for soil texture classification mapping in Central Vietnam

CATENA, Год журнала: 2023, Номер 234, С. 107629 - 107629

Опубликована: Окт. 31, 2023

Язык: Английский

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Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery

Remote Sensing, Год журнала: 2023, Номер 15(12), С. 3203 - 3203

Опубликована: Июнь 20, 2023

The spatial heterogeneity of soil properties has a significant impact on crop growth, making it difficult to adopt site-specific management practices. Traditional laboratory-based analyses are costly, and data extrapolation for mapping using high-resolution imagery becomes computationally expensive procedure, taking days or weeks obtain accurate results desktop workstation. To overcome these challenges, cloud-based solutions such as Google Earth Engine (GEE) have been used analyze complex with machine learning algorithms. In this study, we explored the feasibility designing implementing digital approach in GEE platform reflectance derived from thermal infrared multispectral camera Altum (MicaSense, Seattle, WA, USA). We compared suite multispectral-derived vegetation indices situ measurements physical-chemical agricultural lands Peruvian Mantaro Valley. prediction ability several algorithms (CART, XGBoost, Random Forest) was evaluated R2, select best predicted maps (R2 > 0.80), ten properties, including Lime, Clay, Sand, N, P, K, OM, Al, EC, pH, products spectral surface model (DSM). Our indicate that predictions based indices, most notably, SRI, GNDWI, NDWI, ExG, combination CART RF superior those individual bands. Additionally, DSM improves accuracy, especially K Al. demonstrate processed potential develop models essential establishing adaptive monitoring programs regions.

Язык: Английский

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Random forest algorithm applied to model soil textural classification in a river basin

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)

Опубликована: Фев. 26, 2025

Язык: Английский

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