scholarly journals THE USE OF PATH ANALYSIS IN THE DETERMINATION OF ENVIRONMENTAL FACTOR EFFECTS ON THE TOTAL PRODUCTION OF AQUACULTURE PONDS IN PASURUAN, EAST JAVA PROVINCE

2016 ◽  
Vol 10 (2) ◽  
pp. 173
Author(s):  
Andi Indra Jaya Asaad ◽  
Erna Ratnawati ◽  
Akhmad Mustafa
Keyword(s):  
Water Quality ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Path Analysis ◽  
Soil Quality ◽  
Water Salinity ◽  
Total Production ◽  
Direct Effects ◽  
Technical Application ◽  
Soil And Water

Environmental factors in the form of soil and water quality are the important factors of aquaculture pond productivity, including total production (tiger shrimps, Penaeus monodon, and milkfish, Chanos chanos) in Pasuruan, East Java Province. The objective of this study was to analyze the direct or indirect effects of soil and water quality on the total production of ponds in Pasuruan using a path analysis application. Data were collected in the pond areas around Pasuruan Regency including Nguling, Lekok, Rejoso, Keraton, and Bangil Sub-Districts as well as Pasuruan City. Soil quality was determined as a free variable and exogen; water quality as mediate variable, suspended, and endogen; as well as milkfish production as suspended variable and endogen. Environmental characteristics were illustrated using descriptive statistics, while environment factor effects on total production were analyzed using path analysis. The results of path analysis show that from the 12 analyzed soil quality variables, only two variables were affected in the total production of pond (tiger shrimps and milkfish) namely: contents of soil organic carbon and soil phosphate. While based on 11 water quality variables, two variables (water salinity and water iron) were affected the total production of ponds in Pasuruan Regency. The direct effects of soil organic carbon and phosphate on the total production were 0.314 and -0.600, respectively. Water salinity and water iron gave direct effects on total production amounting to -0.678 and 0.358 respectively. It is also found that two soil variables which were affected in the total production, did not indicate the effect towards water quality in ponds. Further implication of this research is put more attention for these variables into pond’s management in order to gain more production. Technical application could be appropriate for pond preparation and frequently water changing during grow out.

scholarly journals Effects of Management and Hillside Position on Soil Organic Carbon Stratification in Mediterranean Centenary Olive Grove

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 650
Author(s):  
Jesús Aguilera-Huertas ◽  
Beatriz Lozano-García ◽  
Manuel González-Rosado ◽  
Luis Parras-Alcántara
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Quality ◽  
Management Practices ◽  
Soil Management ◽  
Olive Grove ◽  
No Tillage ◽  
Short Term ◽  
Degradation Degree

The short- and medium—long-term effects of management and hillside position on soil organic carbon (SOC) changes were studied in a centenary Mediterranean rainfed olive grove. One way to measure these changes is to analyze the soil quality, as it assesses soil degradation degree and attempts to identify management practices for sustainable soil use. In this context, the SOC stratification index (SR-COS) is one of the best indicators of soil quality to assess the degradation degree from SOC content without analyzing other soil properties. The SR-SOC was calculated in soil profiles (horizon-by-horizon) to identify the best soil management practices for sustainable use. The following time periods and soil management combinations were tested: (i) in the medium‒long-term (17 years) from conventional tillage (CT) to no-tillage (NT), (ii) in the short-term (2 years) from CT to no-tillage with cover crops (NT-CC), and (iii) the effect in the short-term (from CT to NT-CC) of different topographic positions along a hillside. The results indicate that the SR-SOC increased with depth for all management practices. The SR-SOC ranged from 1.21 to 1.73 in CT0, from 1.48 to 3.01 in CT1, from 1.15 to 2.48 in CT2, from 1.22 to 2.39 in NT-CC and from 0.98 to 4.16 in NT; therefore, the soil quality from the SR-SOC index was not directly linked to the increase or loss of SOC along the soil profile. This demonstrates the time-variability of SR-SOC and that NT improves soil quality in the long-term.

scholarly journals Assessment of Soil Organic Carbon Stock of Temperate Coniferous Forests in Northern Kashmir

2015 ◽  
Vol 4 (1) ◽  
pp. 161-178
Author(s):  
Davood A. Dar ◽  
Bhawana Pathak ◽  
M. H. Fulekar
Keyword(s):  
Organic Matter ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Quality ◽  
Carbon Stock ◽  
Temperate Forest ◽  
Temperate Forests ◽  
Forest Site ◽  
Soil Organic Carbon Stock ◽  
Organic Carbon Stock

 Soil organic carbon (SOC) estimation in temperate forests of the Himalaya is important to estimate their contribution to regional, national and global carbon stocks. Physico chemical properties of soil were quantified to assess soil organic carbon density (SOC) and SOC CO2 mitigation density at two soil depths (0-10 and 10-20 cms) under temperate forest in the Northern region of Kashmir Himalayas India. The results indicate that conductance, moisture content, organic carbon and organic matter were significantly higher while as pH and bulk density were lower at Gulmarg forest site. SOC % was ranging from 2.31± 0.96 at Gulmarg meadow site to 2.31 ± 0.26 in Gulmarg forest site. SOC stocks in these temperate forests were from 36.39 ±15.40 to 50.09 ± 15.51 Mg C ha-1. The present study reveals that natural vegetation is the main contributor of soil quality as it maintained the soil organic carbon stock. In addition, organic matter is an important indicator of soil quality and environmental parameters such as soil moisture and soil biological activity change soil carbon sequestration potential in temperate forest ecosystems.DOI: http://dx.doi.org/10.3126/ije.v4i1.12186International Journal of Environment Volume-4, Issue-1, Dec-Feb 2014/15; page: 161-178

scholarly journals Soil organic carbon saturation in cropland-grassland systems: Storage potential and soil quality

Geoderma ◽  
2022 ◽  
Vol 406 ◽  
pp. 115529
Author(s):  
Thomas Guillaume ◽  
David Makowski ◽  
Zamir Libohova ◽  
Luca Bragazza ◽  
Fatbardh Sallaku ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Quality ◽  
Carbon Saturation ◽  
Storage Potential

Assessment of Capacity and Impacts of 8.5 MW Gas Fired Power Plant on Soil and Water Quality in Lekki, Lagos State Nigeria

2021 ◽  
Vol 43 ◽  
pp. 137-152
Author(s):  
Fagbenro Oluwakemi Kehinde ◽  
Adediji Victor Adebowale ◽  
Olaniyan Olatunji Sunday ◽  
Babatola Olumide
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Power Plant ◽  
Organic Carbon ◽  
Thermal Power ◽  
Groundwater Samples ◽  
Lagos State ◽  
Fe And Mn ◽  
Surface And Groundwater ◽  
Soil And Water

The aim of this study is to evaluate the potential impacts of 8.5 MW thermal power plant on soil and water quality within its location, Lekki area, Lagos State. The study area was geo-referenced using the existing map and Geographical Positioning System. Auger was used to sample soil at three different locations within the power plant. The soil samples were prepared and analyzed for the following parameters using standard analytical methods. The parameters include soil texture, Exchangeable cations and anions (H+, Na+, Ca2+, Mg2+, Cl- and SO42-) Nutrients compounds (NO3-, Total Nitrogen (TN), Organic Carbon (OC) and heavy metals (Fe, Cd, As, and Mn). Surface and groundwater samples were collected within the power plant in triplicate and analyzed for true colour, turbidity, conductivity, salinity, THC and Coliform. Dissolved Oxygen (DO), BOD5, Total Organic Carbon (TOC), Organic Matter (OM) and heavy metals (As, Ag, Fe and Mn) of water samples were also analyzed. The soil from the study area is loamy-sand in texture. The average As, Ag, Fe and Mn in surface and groundwater samples were 0.055, 0.025, 3.150, 0.735 and 0.12, 0.080, 6.440 and 0.180 mg/L, respectively. The gas-fired power plant has contaminated the soil and water within its premises with petroleum and heavy metals. The engine stack should be modified to minimize the pollution effects of the power plant on the environment.

scholarly journals Soil Organic Carbon and Labile Carbon Pools Attributed by Tillage, Crop Residue and Crop Rotation Management in Sweet Sorghum Cropping System

2020 ◽  
Vol 12 (22) ◽  
pp. 9782
Author(s):  
Mashapa Elvis Malobane ◽  
Adornis Dakarai Nciizah ◽  
Fhatuwani Nixwell Mudau ◽  
Isaiah Iguna Chabaari Wakindiki
Keyword(s):  
South Africa ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Quality ◽  
Sweet Sorghum ◽  
Crop Residue ◽  
Cropping System ◽  
Water Extractable Organic Carbon ◽  
Water Extractable ◽  
Residue Retention

Labile organic carbon (LOC) fractions are considered as sensitive indicators of change in soil quality and can serve as proxies for soil organic carbon (SOC). Although the impact of tillage, crop rotation and crop residue management on soil quality is well known, less is known about LOC and SOC dynamics in the sweet sorghum production systems in South Africa. This short-term study tested two tillage levels: no-till and conventional-tillage, two crop rotations: sweet-sorghum/winter grazing vetch/sweet sorghum and sweet-sorghum/winter fallow/sweet sorghum rotations and three crop residue retention levels: 30%, 15% and 0%. Tillage was the main factor to influence SOC and LOC fractions under the sweet sorghum cropping system in South Africa. NT increased SOC and all LOC fractions compared to CT, which concurs with previous findings. Cold water extractable organic carbon (CWEOC) and hot water extractable organic carbon (HWEOC) were found to be more sensitive to tillage and strongly positively correlated to SOC. An increase in residue retention led to an increase in microbial biomass carbon (MBC). This study concludes that CWEOC and HWEOC can serve as sensitive early indicators of change in soil quality and are an ideal proxy for SOC in the sweet-sorghum cropping system in South Africa.

scholarly journals Effect of Biowastes on Soil Remediation, Plant Productivity and Soil Organic Carbon Sequestration: A Review

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5813
Author(s):  
Aneta Kowalska ◽  
Anna Grobelak ◽  
Åsgeir R. Almås ◽  
Bal Ram Singh
Keyword(s):  
Heavy Metal ◽  
Carbon Sequestration ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Quality ◽  
Soil Amendment ◽  
Anthropogenic Activities ◽  
Plant Productivity ◽  
Soil Organic Carbon Sequestration ◽  
Organic Carbon Sequestration

High anthropogenic activities are constantly causing increased soil degradation and thus soil health and safety are becoming an important issue. The soil quality is deteriorating at an alarming rate in the neighborhood of smelters as a result of heavy metal deposition. Organic biowastes, also produced through anthropogenic activities, provide some solutions for remediation and management of degraded soils through their use as a substrate. Biowastes, due to their high content of organic compounds, have the potential to improve soil quality, plant productivity, and microbial activity contributing to higher humus production. Biowaste use also leads to the immobilization and stabilization of heavy metals, carbon sequestration, and release of macro and micronutrients. Increased carbon sequestration through biowaste use helps us in mitigating climate change and global warming. Soil amendment by biowaste increases soil activity and plant productivity caused by stimulation in shoot and root length, biomass production, grain yield, chlorophyll content, and decrease in oxidative stress. However, biowaste application to soils is a debatable issue due to their possible negative effect of high heavy metal concentration and risks of their accumulation in soils. Therefore, regulations for the use of biowastes as fertilizer or soil amendment must be improved and strictly employed to avoid environmental risks and the entry of potentially toxic elements into the food chain. In this review, we summarize the current knowledge on the effects of biowastes on soil remediation, plant productivity, and soil organic carbon sequestration.

Soil quality and soil organic carbon storage in abandoned agricultural lands: Effects of revegetation processes in a Mediterranean mid‐mountain area

2020 ◽  
Vol 31 (18) ◽  
pp. 2830-2845
Author(s):  
Teodoro Lasanta ◽  
Pedro Sánchez‐Navarrete ◽  
Luis Miguel Medrano‐Moreno ◽  
Makki Khorchani ◽  
Estela Nadal‐Romero
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Quality ◽  
Carbon Storage ◽  
Agricultural Lands ◽  
Mountain Area ◽  
Soil Organic Carbon Storage ◽  
Organic Carbon Storage

Volumetric soil quality modelling with machine learning in a diverse agricultural landscape in Andalusia, Spain

2020 ◽  
Author(s):  
Tobias Rentschler ◽  
Martin Bartelheim ◽  
Marta Díaz-Zorita Bonilla ◽  
Philipp Gries ◽  
Thomas Scholten ◽  
...  
Keyword(s):  
Machine Learning ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Soil Properties ◽  
Soil Quality ◽  
Three Dimensional ◽  
Soil Mapping ◽  
Soil Profiles ◽  
Soil Functions ◽  
Depth Functions

<p>Soils and soil functions are recognized as a key resource for human well-being throughout time. In an agricultural and forestry perspective, soil functions contribute to food and timber production. Other soil functions are related to freshwater security and energy provisioning. In general, the capacity of a soil to function within specific boundaries is summarised as soil quality. Knowledge about the spatial distribution of soil quality is crucial for sustainable land use and the protection of soils and their functions. This spatial knowledge can be obtained with accurate and efficient machine-learning-based soil mapping approaches, which allow the estimation of the soil quality at distinct locations. However, the vertical distribution of soil properties is usually neglected when assessing soil quality at distinct locations. To overcome such limitations, the depth function of soil properties needs to be incorporated in the modelling. This is not only important to get a better estimation of the overall soil quality throughout the rooting zone, but also to identify factors that limit plant growth, such as strong acidity or alkalinity, and the water holding capacity. Thus, the objective of this study was to model and map the soil quality indicators pH, soil organic carbon, sand, silt and clay content as a volumetric entity. The study area is located in southern Spain in the Province of Seville at the Guadalquivir river. It covers 1,000 km<sup>2</sup> of farmland, citrus and olive plantations, pastures and wood pasture (Dehesa) in the Sierra Morena mountain range, at the Guadalquivir flood plain and tertiary terraces. Soil samples were taken at 130 soil profiles in five depths (or less at shallow soils). The profiles were randomly stratified depending on slope position and land cover. We used a subset of 99 samples from representative soil profiles to assess the overall 513 samples with FT-IR spectroscopy and machine learning methods to model equal-area spline, polynomial and exponential depth functions for each soil quality indicator at each of the 130 profiles. These depth functions were modelled and predicted spatially with a comprehensive set of environmental covariates from remote sensing data, multi-scale terrain analysis and geological maps. By solving the spatially predicted depth functions with a vertical resolution of 5 cm, we obtained a volumetric, i.e. three-dimensional, map of pH, soil organic carbon content and soil texture. Preliminary results are promising for volumetric soil mapping and the estimation of soil quality and limiting factors in three-dimensional space.</p>

Sign in / Sign up

Export Citation Format

Share Document