Soil Quality Indicators Research Articles

Bioindicators for Assessing Soil Quality in Ecuador’s Jun Jun Micro-Watershed

The evaluation of soil quality in different altitudinal gradients, with vegetative and non-vegetative subareas, is crucial for proper soil functioning and optimal crop growth, thus contributing to the sustainability of agroecosystems. Although the altitudinal gradient significantly influences soil quality, the ability to predict this quality, expressed through an index, in soils with and without vegetative cover, is still insufficiently explored. This study employed the simple additive index (SQI) method to evaluate soil quality in Ecuador’s Jun Jun micro-watershed, Tungurahua region. Three altitude categories (<2800, 2800–2900, >2900 masl) were investigated, with 24 soil samples collected across both vegetated and non-vegetated areas. The indicators used included chemical and biological parameters such as soil organic carbon (OC), earthworm density (WD), earthworm biomass (WB), organic matter (OM), pH, and total nitrogen (TN). The results revealed that in areas with altitudinal gradients below 2800 masl, the soil quality index values were higher compared to other altitudes. In vegetated areas, a decrease in index values was observed as the altitudinal gradient increased, indicating a deterioration in soil quality with increasing altitude. These findings are significant in providing a quantitative assessment of the effects of altitudinal gradient and vegetative cover influence on soil quality.

Kinetic and thermodynamic parameters of urease in soils with different fertilization regimes

In recent years the growing demand for food led to intensification of agricultural practices, especially by the excessive use of fertilizers, which increased the environmental pollution. Therefore, pollution control by improving the efficiency of fertilizers and reducing their application is of great interest. Urease is one of the most active hydrolases in soil, having an important role in soil N cycle and being used as an indicator of soil quality. The objective of this study was to assess the urease activity in soils with different fertilization treatment, as well as its kinetic and thermodynamic parameters to better understand its driving factors. The results show a better enzymatic activity in soils treated with combined manure and mineral fertilizers. Soil urease has two optimal pH values, in the neutral and basic domains. Enzymatic activity has a steep increase with the temperature in the interval 45–65°C. The KM values increase with temperature from 11 to 23.5 mM, indicating a lower substrate affinity. The activation enthalpies for enzyme-substrate formation as well as for the rate limiting step are 7.59 and 14.18 kcal/mol respectively. The relationship between urease activity and microbial biomass will be further investigated.

Dependency of Long-Term Soil Quality Controls on Summer Fallow Tillage and Soil Layers for Dryland Winter Wheat in Loess Plateau

The capacity for winter wheat to produce sufficient yield may be influenced by soil tillage practices and soil quality. However, determining how to quantify the impact of long-term tillage on soil quality is crucial. Here, we address this issue by comparing soil properties and wheat yield under four tillage systems during summer fallow in the Loess Plateau. Twenty-two soil properties were explored to estimate soil quality. Results showed that a rotational tillage (PT/ST) during summer fallow decreased soil bulk density (ρb) and improved soil gravimetric water content (θg), soil organic carbon (SOC), soil capillary porosity (Pc), and total porosity (Pt) in 0–50 cm soil layers. A minimum dataset (MDS) of thirteen indicators was selected to calculate soil quality index (SQI). Treatment of PT/ST had higher SQI value in soil layers of 0–10 cm and 20–50 cm, and PT/ST showed a significant increase in yield since the third year. No tillage (NT) during summer fallow decreased soil physical and chemical indicators, thus decreasing soil quality. These findings suggest that a rotation tillage of PT/ST during summer fallow could enhance soil chemical and biological properties concurrently, and PT/ST may provide a promising management strategy to sustain soil quality and grain yield for dryland winter wheat in the Loess Plateau.

Comprehensive assessment of combined inorganic and organic fertilization strategies on cotton cultivation: implications for sustainable agriculture.

The integration of inorganic and organic fertilizers is increasingly being recommended to address the demand for sustainable cotton cultivation and to mitigate the ecological impacts of reliance on inorganic fertilizers. However, the nuanced effects of this combined fertilization approach on soil quality, cotton growth, yield, and their interaction mechanisms, remain unclear. To elucidate this, a 2-year field trial (2022-2023) was conducted, incorporating five fertilization treatments: low inorganic fertilizer (BI1), high inorganic fertilizer (BI2), organic fertilizer (BO), combined low inorganic and organic fertilizer (BIO1), and combined high inorganic and organic fertilizer (BIO2). This study aimed to evaluate the influence of these treatments on soil quality, cotton growth, and yield. The results indicate that the BO treatment significantly enhanced plant height growth rate, and BIO1 treatment increased leaf area index and dry matter accumulation growth rate. Critical soil parameters such as alkali-hydrolyzed nitrogen and available potassium emerged as pivotal determinants of soil quality over the trial period, corresponding to soil quality index (SQI) values of 0.482 and 0.478, and yields of 7506.19 kg ha-1 and 6788.02 kg ha-1, respectively. Water productivity reached optimum levels at SQI values of 0.461 and 0.462, with corresponding efficiencies of 13.31 kg (ha mm)-1 and 12.16 kg (ha mm)-1. Partial least squares path modeling revealed that integrating organic fertilizer with reduced inorganic fertilizer usage significantly boosts cotton yield by enhancing soil quality (path coefficient: 0.842). In conclusion, this integrated fertilization strategy not only improves soil health but also increases agricultural productivity. It presents a promising approach for optimizing crop yields while fostering sustainable agricultural practices. © 2024 Society of Chemical Industry.

Mineral Components, Organic Matter Quality and Soil Enzymatic Activity under the Influence of Differentiated Farmyard Manure and Nitrogen Fertilisation

Research was carried out on the impact of long-term use of cattle manure (30 t ha−1 FYM) and various doses of N (0, 40, 60 and 120 t ha−1) in the form of ammonium nitrate on the following soil parameters: salinity, hydrolytic acidity, total exchangeable base cations, cation exchange capacity, degree of base saturation of the sorption complex, total organic carbon and total nitrogen content, dissolved organic matter, fractional composition of organic matter and content of bioavailable macroelements: phosphorus, potassium and magnesium in the soil of a multi-year static field experiment. The activities of dehydrogenases, catalase, alkaline and acid phosphatase and proteases were also tested. A significant effect of FYM and N fertilisation on the content of bioavailable macroelements was found. The application of manure at a dose of 30 t ha−1 mitigated the negative effects of the application of N at a dose of 120 kg ha−1. A higher content of total organic carbon (8.42 g kg−1) and humic acid fraction (1761 mg kg−1) and higher values of the CHA/CFA ratio (0.79; parameters that are indicators of soil quality) were found in the soil fertilised with manure compared to the soil without manure added (TOC—7.00 g kg−1; CHAs—1285 mg kg−1; CHAs/CFAs 0.66). The activity of the tested enzymes was also significantly determined by the applied fertilisation. Enzyme activity was highest in the soil to which manure had been applied. Nitrogen fertilisation varied in its impact on the activity of enzymes according to the specifics of each enzyme. The content of humic acids and CHA/CFA values correlated positively with the content of soil minerals and the activity of dehydrogenases, catalase, alkaline and acid phosphatase and GMea and TEI indices. Dehydrogenases and acid phosphatase can be considered enzymes that take part in transforming organic matter towards the formation of FAs.

Mapping Environmental Quality Indices of Dhaka City by Using Geospatial Techniques

Dhaka, the city of over 10 million people is one of the most polluted cities due to rapid urbanization, commercial development and population pressure. The present study assessed an overall environmental quality of Dhaka South City Corporation (DSCC) and Dhaka North City Corporation (DNCC) using an Environmental Quality Index (EQI) based on five indices: Air Quality Index (AQI), Water Quality Index (WQI), Soil Quality Index (SQI), Noise Quality Index (NQI), and Vegetation Index (VI). The final EQI was determined through selecting components from background literature and an overlay analysis using predefined weights for each distinct indices. The study reveals that the west and west-central part of DSCC have experienced the most severe environmental degradation, affecting noise levels, vegetation cover, air, soil, and water quality. However, the air is less polluted especially in the peripheral zones of the city corporations. Overall, the study indicates that the environmental quality of DNCC is comparatively better than DSCC. The results of the study provides an insight on environmental quality of the city for legislators, urban planners, environmentalists, and researchers to monitor and preserve environmental quality in making the city livable, healthy and sustainable. The Dhaka University Journal of Earth and Environmental Sciences, Vol. 12(2), 2023, P 41-53

Evaluating dynamic soil quality by the soil management assessment framework (SMAF) in the watershed scale in a semi-arid Mediterranean ecosystem in Turkey

Soil is an indispensable and important natural resource and it is necessary to manage and monitor soil quality with appropriate methods in order to ensure the sustainability of the soil. The aim of this study is to determine the current state of soil quality in different land uses where soil functions change. This study was carried out in the Karasu river watershed with an area of 19,178 ha where Entisols soil order is dominant, located Andırın, Kahramanmaraş. The Soil Management Assessment Framework (SMAF) method and Principal Component Analysis (PCA) was used to assess the dynamic soil quality in watershed scale. In the evaluation of soil quality, random samples were taken from a total of 360 topsoil layers (0−30) according to land use and physiography. Soil indicators such as bulk density, aggregate stability, total organic carbon, pH, electrical conductivity, available phosphorus (P), potassium (K), available water amount and water-filled pore volume were selected to create the minimum data set (MDS). The results showed that the productivity, environmental protection, waste recycling quality scores and general soil quality index of forest lands are higher than agricultural lands. According to expert opinion, general soil quality scores were found to be 0.86 in forest land, 0.78 in crop land and 0.83 in grassland, while in PCA, general soil quality scores were calculated as 0.85 in forest land, 0.79 in crop land and 0.78 in grassland. Contribution level of soil functions to management targets was observed in water relations function the most. The contribution levels of the water relations function to the productivity, environmental protection and waste recycling management targets are 0.38, 0.32 and 0.34 in forest lands, 0.42, 0.33 and 0.35 in croplands, respectively; It was showed that 0.40, 0.33 and 0.36 in grasslands. Contribution rates of productivity, environmental protection and waste recycling management targets to soil quality were 30%, 37% and 33%, respectively, in forest lands; 29%, 37% and 34% in crop lands; It has been determined as 30%, 36% and 34% in the grasslands. Negative effects such as heavy rainfall in the watershed, wrong agricultural practices (excessive fertilization and irrigation, improper tillage, and crop selection, etc.) and excessive grazing have led to soil degradation and erosion, reducing the soil function capacity of agricultural lands and meadows. In order to increase the functional capacity of the soil, a soil management approach aimed at protection, improvement and sustainability must be adopted and implemented.

Enhancing productivity, soil health, and reducing global warming potential through diverse conservation agriculture cropping systems in India's Western Indo-Gangetic Plains

ContextThe rice-wheat (RW) system, spanning 13.5 million hectares in South Asia, is crucial for food security and livelihoods. However, intensive conventional tillage-based practices have harmed soil and environmental health, decreased productivity trends and increased greenhouse gas emissions. ObjectiveThis study aims to develop resilient, climate-smart cropping systems within the RW system, focusing on soil and crop productivity, economic viability, and reduced greenhouse gas (GHG) emissions. MethodsOver eight years, the study evaluated diverse parameters compared to farmer practices (FP) in seven scenarios (Sc), including one representing FP (Sc1) and six based on conservation agriculture (CA) principles. The study assessed system crop productivity, economic returns, soil quality (organic carbon; OC, nitrogen; N, phosphorus; P, potassium; K contents, bulk density; BD, soil aggregation, infiltration rates, microbial counts, and earthworm density), and GHG emissions. ResultsCA-based scenarios (Sc2 to Sc7) showed improved soil quality, lower bulk density, enhanced soil aggregation, and increased infiltration rates compared to Sc1. In the 0–15 cm layer, surface soil organic carbon (OC) and C stock were 63.7 % and 49.6 % higher, respectively, in CA-based scenarios. Additionally, available N, P and K contents in the surface layer increased by 10.2 %, 28.6 %, and 21.8 % under CA-based scenarios. Adoption of CA in intensified maize-based scenarios (Sc4 and Sc5) led to the increased system and economic yields, higher soil quality index (SQI), reduced GHG emissions and increased C stock compared to Sc1. ImplicationsThe study highlights that Conservation Agriculture (CA) practices and diversified crop rotations can address issues like falling crop productivity, reduced economic returns, soil degradation, and increasing environmental impacts in northwestern India's traditional rice-wheat system. However, widespread adoption requires government policies, including C credit payments and guaranteed markets with supportive pricing.

Soil Quality Index Analysis of Pine Forest Land Use Types on Dryland in Aceh Besar Regency

This study aims to determine the analysis of soil quality index in pine forest land use type on dry land in Aceh Besar Regency. This research focused on several field observation points in the pine forest land use type area on dry land in Aceh Besar Regency. The soil quality index in the pine forest land use type in Aceh Besar Regency is included in the medium category. This is due to soil sampling on the inceptisol soil type in Aceh Besar Regency, which has characteristics of less fertile soil. Soils that have a high percentage of dust have a higher risk of erosion, because dust has a relatively small size so that it is easily washed away by surface flow. low C-organic content, high volume weight, pH H2O, K- exchangeable, P-available and low N-total. In the type of pine forest land use, special treatment is needed in the form of adding organic matter to the soil by fertilizing, reforesting pine plants and conducting drainage so as to reduce nutrient leaching in the top soil layer.

The Effects of Different Vegetation Restoration Models on Soil Quality in Karst Areas of Southwest China

Rocky desertification is a devastating process in Karst areas of Southwest China and induces serious fragmentation in ecosystems. Therefore, vegetation restoration and the scientific evaluation of soil quality are key restorative strategies in these areas. In this study, a natural closed forest and a disturbed forest with three restoration models, including an evergreen broad-leaved forest, mixed forest, and deciduous forest, were investigated in Huanjiang County. More than nineteen soil properties (including physical, chemical, and biotic properties) were analyzed across treatments, and principal component analyses (PCA) were combined with a minimum data set (MDS) applied to evaluate the soil quality. Our study sought to identify a vegetation restoration model to improve the soil quality in this area. We demonstrated that soil physical and chemical properties, microbial biomass, and enzyme activities significantly differed across all of the models. Soil water content, capillary porosity, total porosity, organic carbon, total phosphorus, available phosphorus, and urease activity were high in the mixed forest, leading to better physical soil properties. Also, relatively high soil total nitrogen, total potassium, available nitrogen, available potassium, microbial biomass C and N, catalase, sucrose, and alkaline phosphatase levels were observed in the deciduous broad-leaved forest, resulting in improved soil chemical properties. Based on the minimum data set (MDS) method, six indicators, including non-capillary porosity, organic carbon, total phosphorus, pH, microbial biomass nitrogen, and urease activity, were selected to evaluate the soil quality across the models. Our data showed that, among the five models, the deciduous broad-leaved forest had the highest soil quality index (0.618), followed by the mixed forest (0.593). Stepwise regression analysis showed that soil organic carbon explained 79.9% of the variations in the soil quality indices, suggesting it was a major factor affecting the soil quality. Thus, vegetation restoration models mainly comprised of native tree species effectively improved the soil quality in Karst rocky desertification areas, with deciduous broad-leaved forests displaying the best effects, followed by mixed forests.

The effect of AMF combined with biochar on plant growth and soil quality under saline-alkali stress: Insights from microbial community analysis

Arbuscular mycorrhizal fungi (AMF) and biochar application individually can enhance plant tolerance to saline-alkali stress and promote plant growth efficiency. However, little is known about the potential synergistic effects of their combination on improving plant growth and soil quality under saline-alkali stress. This experiment adopted the potted method to explore the effects of four treatments on switchgrass growth and soil quality: biochar (BC), Rhizophagus irregularis (Ri), biochar + Ri (BR) and a control without biochar or Ri (CK). Compared to the CK treatment, the switchgrass biomass increased by 92.4 %, 148.6 %, and 177.3 % in the BC, Ri, and BR treatment groups, respectively. Similarly, the rhizosphere soil quality index increased by 29.33 %, 22.7 %, and 49.1 % in the respective treatment groups. The BR treatment significantly altered the rhizosphere soil microbial composition and diversity. Notably, compared to the other treatments, the archaeal α-diversity in the BR group showed a significant decrease. BR treatment significantly increased the relative abundance of bacteria, fungi and archaea at the genus level (e.g., Bacillus, Trichome and candidatus_methanopenens). Network analysis showed that the complexity and closeness of interactions between different microbial taxa were stronger in the BC, Ri and BR treatments than in the CK treatment, with BR being the more prominent. In summary, biochar combined with Ri has a better effect on promoting the growth of switchgrass under saline-alkali stress, improving the quality of saline-alkali soil, and increasing soil microbial diversity. This study provides a new approach for the efficient development and utilization of saline-alkali land.

Mixed planting mode is the best measure to restore soil quality in alpine mines

In ecologically fragile areas heavily affected by human disturbance, it is imperative to restore soil quality to preserve nutrient cycling and ensure ecosystem stability. However, our understanding about the underlying mechanisms of dynamic change in soil quality associated with revegetation in alpine areas remains incomplete. In this study, data from 96 plots were collected to reveal the response of soil quality to vegetation restoration in alpine mines. The soil quality index (SQI) was developed utilizing 19 measured indicators to assess differences in soil quality between various vegetation restoration modes (natural restoration (CK), planting with Elymus dahuricus (ED), Medicago sativa (MS), and multi-plant mixed (Avena fatua L. + Elymus dahuricus + Medicago sativa + Oxytropis coerulea, MM)) and restoration periods (1, 3, 4, and 6 years). A partial least squares structural equation model (PLS-SEM) was constructed to recognize the impact of 14 variables related to topographical features, plant biodiversity and community stability, aboveground plant productivity characteristics, root functional traits, and soil erosion on soil quality. The results revealed significant variations in soil quality among different vegetation restoration modes. Within the initial four years following vegetation restoration, the discernible discrepancies in SQI values were as follows: ED > MM > MS > CK; by the sixth year, the order shifted to MM > ED > MS > CK. Aboveground plant productivity characteristics and functional root traits significantly contribute to soil quality. In contrast, plant biodiversity and community stability had no significant effects on soil quality. Topographical features and soil erosion adversely affected soil quality, with soil erosion exerting the most prominent effect.

Bridges Between Soil Restoration, Land Management and Community Involvement in the Great Green Wall of Mauritania: A Preliminary Study

In the Sahel, land ownership is significantly influenced by the complexity of hierarchical, ethnic, and tribal aspects as well as communal, religious, and state rights. This complicates the development of large-scale ecological projects. This study investigates the positive and negative experiences that have changed the method and attitude of agencies in Mauritania to providing a holistic and ecosystemic approach to conservation and restoration. The physical environment and society’s perception of applied restoration measures are of great importance for reducing environmental degradation and promoting future actions. Interviews with stakeholders helped understand the social reality and impact of restoration and management measures taken on the communities. The results of this study revealed that measures such as fencing plots, preventing the passage of livestock, and stabilizing sand dunes noticeably improved the vegetative cover of the soil in the Sahel. This improvement in vegetation cover has had direct effects on the improvement of soil quality indicators such as organic carbon content, pH, soil structure, color, and texture. Different stakeholders have shown considerable involvement in projects, positively valuing their implementation and observing improvements in their daily lives.

Enzyme Activity Stoichiometry Suggests That Fertilization, Especially Nitrogen Fertilization, Alleviates Nutrient Limitation of Soil Microorganisms in Moso Bamboo Forests

Rational application of N fertilizer is essential for maintaining the long-term productivity of Moso bamboo forests. Microbial activity is a crucial indicator of soil quality. Changes in soil nutrient resources due to N addition can lead to microbial nutrient limitations, thereby impeding the maintenance of soil quality. Currently, there is limited research on the effects of N application on microbial nutrient limitations in Moso bamboo forest soils. To examine the changes in extracellular enzyme activity and microbial nutrient limitations in Moso bamboo forest soils following N application, we conducted an N application experiment in northern Guizhou. The findings revealed that the N3 treatment (726 kg·N·hm−2·yr−1) significantly reduced β-glucosidase (BG) activity by 27.61% compared to the control group (no fertilization). The N1 (242 kg·N·hm−2·yr−1), N2 (484 kg·N·hm−2·yr−1), and N3 treatments notably increased the activities of leucine aminopeptidase (LAP) and N-acetyl-β-D-glucosidase (NAG) by 11.45% to 15.79%. Acid phosphatase (ACP) activity remained unaffected by fertilization. N application treatments significantly decreased the C:Ne and C:Pe ratios, while the N:Pe ratio was less influenced by N fertilizer application. Scatter plots and vector characteristics of enzyme activity stoichiometry suggested that microorganisms in the study area were limited by C and N, and N fertilizer application reduced the vector length and increased the vector angle, indicating that N application alleviated the C and N limitation of microorganisms in Moso bamboo forests. Redundancy Analysis (RDA) demonstrated that microbial biomass phosphorus (MBP) was the most critical factor affecting extracellular enzyme activity and stoichiometry. Furthermore, Random Forest Regression analysis identified MBP and the N:Pm ratio as the most significant factors influencing microbial C and N limitation, respectively. The study demonstrated that N application modulates the microbial nutrient acquisition strategy by altering soil nutrient resources in Moso bamboo forests. Formulating fertilizer application strategies based on microbial nutrient requirements is more beneficial for maintaining soil quality and sustainably managing Moso bamboo forests. Additionally, our study offers a theoretical reference for understanding carbon cycling in bamboo forest ecosystems in the context of substantial N inputs.

Improving Soil Quality Index Prediction by Fusion of Vis-NIR and pXRF spectral data

Soil quality assessment, as a means to assess the impact of human activities on soil, is of great significance to achieve sustainable development. Proximal sensing offers a rapid and cost-effective means for soil spectral acquisition, which resolves the shortcomings of traditional laboratory analysis and provides a new way for soil quality assessment. However, using a singular spectroscopic technique may not encompass adequate information needed for soil quality assessment. Therefore, in this research, the visible-near-infrared (vis-NIR) and portable X-ray fluorescence (pXRF) spectral data were fused, and the continuous wavelet transform (CWT) was combined with the parallel input 2D convolutional neural network (PI-2D-CNN) algorithm, to enhance the prediction accuracy of soil quality index (SQI). A total of 287 soil samples were collected from the Yarkand-Kashgar River Basin in Xinjiang, China for proximal sensing in the laboratory, and 21 soil physicochemical properties were measured for SQI calculation simultaneously. After preprocessing the vis-NIR and pXRF spectral data with the CWT, partial least squares regression (PLSR) and CNN models were constructed to predict SQI. The results showed that the SQI prediction accuracy based on vis-NIR spectra (coefficient of determination for validation set (R2) = 0.32–0.54) was higher than that based on pXRF spectra (R2 = 0.17–0.36). The prediction accuracy of both vis-NIR and pXRF spectra were improved by CWT combined with CNN. Compared with the traditional spectral data fusion methods (concatenation, sequential and orthogonalised-partial least squares (SO-PLS)), the PI-CNN algorithm demonstrated superior SQI prediction accuracy, and the constructed PI-2D-CNN model obtained the highest prediction accuracy (R2 = 0.67). Overall, this study proved that the combination of CWT and PI-CNN could increase the SQI prediction accuracy. This research will provide a rapid and low-cost approach for large-scale soil quality assessment.

Investigating soil health and resilience in small-scale agroecosystems of Mount-Lebanon

ABSTRACT In response to Lebanon’s 2019 economic crisis, agricultural activities intensified to enhance national food security, with implications for soil health. We investigated soil management practices on 26 small-scale farms in a mountainous region, focusing on reconciling static sustainability definitions with dynamic resilience concepts. Surveying farmers revealed varied adoption rates of regenerative practices: intercropping (85%), residue retention (73%), cover crops (61%), organic amendments (46%), integrated organic/mineral amendments (46%), improved irrigation (38%), conservation tillage (30%), crop rotation (19%), and organic/biological pest/disease treatment (11%). Farms were categorized as conventional (C), neutral (N), and regenerative (R) based on practices. Qualitative assessments using seven indicators yielded scores of 4.28 (C), 6.34 (N), and 7.88 (R). Quantitative analyses showed significant differences in soil organic matter percentage (1.86 C, 2.75 N, 3.32 R), soil respiration (156 C, 296 N, 380 R), and earthworm abundance (2.92 C, 4.24 N, 5.72 R). The Soil Quality Index (SQI) indicated varying soil health from 0.05 (C) to 0.49 (R). Our findings highlight the importance of adopting synergistic, sustainable soil management practices to ensure enduring agricultural productivity and safeguard soil resilience, especially in the Mediterranean region.

Impacts of long-term chemical nitrogen fertilization on soil quality, crop yield, and greenhouse gas emissions: With insights into post-lime application responses

The improvement in the agricultural production through continuous and heavy nutrient input like nitrogen fertilizer under the upland red soil of south China deteriorates soil quality, and this practice in the future could threaten future food production and cause serious environmental problems in China. This research is initiated with the objectives of evaluating the impacts of long-term chemical nitrogen fertilization on soil quality, crop yield, and greenhouse gas emissions, with insights into post-lime application responses. Compared to sole application of chemical nitrogen fertilization, combined application with lime increased soil indicators (pH by 6.30 %–7.76 %, Ca2+ by 90.06 %–252.77 %, Mg2+ by 184.47 %–358.05 %, available P by 5.05 %–30.04 %, and soil alkali hydrolysable N by 23.49 %–41.55 %. Combined application of chemical nitrogen fertilization with lime (NPCa (0.59), NPKCa (0.61), and NKCa (0.27) significantly improved soil quality index compared to the sole application of chemical nitrogen fertilization (NP (0.31), NPK (0.36), and NK (0.16). Compared to sole application of chemical nitrogen fertilization, combined application with lime increased grain yield by 48.36 %–61.49 %. Structural equation modeling elucidated that combined application of chemical nitrogen fertilization and lime improved wheat grain yield by improving soil quality. Exchangeable Ca2+, exchangeable Mg2+, pH, and exchangeable Al3+ were the most influential factors of wheat grain yield. Overall, the combined application of chemical nitrogen fertilization and lime decreased global warming potential (calculated from N2O and CO2) by 16.92 % emissions compared to the sole application of chemical nitrogen fertilization. Therefore, liming acidic soil in upland red soil of South China is a promising management option for improved soil quality, wheat grain yield, and mitigation of greenhouse gas emissions.

Soil Quality Variation under Different Land Use Types and Its Driving Factors in Beijing

With the advancement of urbanization, land resources are becoming increasingly strained, particularly for urban greening purposes. In this context, a large number of newly cultivated lands dominated by construction waste and backfill soil are emerging in cities. Assessing the soil quality of these newly cultivated lands and achieving their rational utilization accurately and quantitatively has become an urgent issue. In this study, soil samples of five land use types, namely newly cultivated land (NCL, control), adjacent cropland (CL), arbor–shrub mixed forest (ASF), arbor forest (AF), and shrubland (SL) were selected around Beijing, China. ASF, AF, and SL are also newly cultivated lands composed of construction waste and backfill before greening. Based on principal component analysis (PCA), a total data set (TDS) and a minimum data set (MDS) were used to construct the soil quality index (SQI) model. Soil quality indicators covering the physical and chemical characteristics of the soil and their relationships with land use types were studied with the Partial Least Squares Path Model (PLS-PM). The results were summarized as follows: (1) The soil quality index under different land use types in the Beijing plain area were in the order of arbor–shrub mixed forest (ASF) > arbor forest (AF) > shrubland (SL) > cropland (CL) > newly cultivated land (NCL). (2) Soil organic carbon (SOC), soil water content (SWC), maximum water-holding capacity (MWHC), capillary water-holding capacity (CWHC), Pb, and Cd were identified as the MDS. The MDS of the soil quality assessment model showed a linear relationship with the TDS (y = 0.946x + 0.050, R2 = 0.51). (3) Land use types have an indirect impact on soil quality by changing the content of Pb. The chemical indicators’ coefficient (0.602) contributed more to the SQI than did the physical indicators’ (0.259) and heavy metal elements’ (−0.234). In general, afforestation and agricultural production could improve the newly cultivated lands’ soil quality, but afforestation is much better than agricultural production. These results will help to evaluate the SQI in the Beijing plain area objectively and accurately, and they have significant implications for soil restoration and management.

Development of Sustainable Integrated Farming Systems for Small and Marginal Farmers and Ecosystem Services -A Comprehensive Review

This review article shows a holistic approach regarding integrated farming system (IFS) for livelihood security and sustainable development of small and marginal households in India. Integrated farming systems are being developed for location specific because enormous problems are being aroused in the agriculture and allied sectors such as declined factor productivity, profitability, unscientific management of farm resources, decreases in crops and livestock productivity due to climate change, changes in food habits of the people, deprived soil health, low inputs use efficiencies, declined in crop diversification and biodiversity, increased cost of production, utilization of high energy inputs, produces low energy outputs and other problems are also coexisted in current farming system. The integrated farming system includes different components like crops, livestock, poultry, beekeeping, fisheries, mushroom, kitchen garden, boundary plantation and others to cultivate in an integrated way for efficient utilization of limited farm resources. Moreover, imperative need to resolve these ablaze issues with the help of development of location-specific integrated farming system modules/models. IFS is a tool of sustainable strategies for the meeting of assorted agrarian anxieties along with ensured food and nutritional security and conserved ecosystem services. The standardized and upscale IFS models increased the productivity and profitability of the farmers more than mono-cropping and single-farm enterprises. The conducted studies emphases about enhance soil quality indicators, recycling and saving plant nutrients by around 55.6% through proper management of farm-based waste and byproducts. A total of 265.18 kg nitrogen, 48.91 kg phosphorus and 269.48 kg potassium can be saved through recycled farm-based waste or byproducts of a 1.5 ha model which comprises nine components. In conclusion, IFS modules/models are emission-negative or low GHG emitters, paving the way for promoting of climate-friendly farming in India. IFS emerges as a holistic approach to increase climate-resilient, greenhouse gas emissions can be reduced, it is a potential for sustainable agriculture development requiring continued research, policy support and innovative strategies for widespread adoption. As regards to livelihood security, the IFS approach has adapted to meet the home-grown family needs of cereals, pulses, oils, fruits, milk, meat, eggs, and vegetables. The future direction for research includes vertical farming, climate-smart farming systems, and improving the quality and sustainability of the farming systems, especially for underprivileged farm householders.

The relationship between soil biomass and soil quality index for Kafr El-Dawar region, Beheira Governorate

The current investigation was conducted in the Kafr El-Dawar region to study the relationship between soil microbial biomass and soil quality index. Thirty-nine soil samples were taken for the chemical characteristics used to determine the soil quality index by the Soil Management Assessment Framework (SMAF) procedures. Pearson correlation relationship and Principal components analysis (PCA) between soil quality index and soil parameters were done as well as regression between soil quality index and microbial biomass. For the soil microbial biomass, the lowest value was about 186 mg kg-1 (5% of the total samples). The highest value was about 387 mg kg-1 (5% of the total samples). The average microbial biomass of the samples was about 299 mg kg 1. Approximately 50% of the total samples have a value equal to the average sample value. Higher significant correlation was observed among soil pH with CaCO3 content. Significant correlation was observed among soil pH with Fe and Mn. Soil quality index had a higher significant correlation with Ca, Mg, N, K, Cu, and Zn. P was a more effective factor on soil quality index. The chemical properties had the most impact on the soil quality index. All samples have a soil quality index score of less than 50%. About 69.2% were poor quality (SQI less than 40%), and the rest were moderate quality (SQI between 40 and 60%). Microbial biomass is a key soil characteristic that influences soil quality according to the regression result. Further research should include biological and other physicochemical soil properties to enlarge soil quality index.