scholarly journals Spectral and Soil Quality Index for Monitoring Environmental Rehabilitation and Soil Carbon Stock in an Amazonian Sandstone Mine

2022 ◽  
Vol 14 (2) ◽  
pp. 597
Author(s):  
Paula Godinho Ribeiro ◽  
Gabriel Caixeta Martins ◽  
Markus Gastauer ◽  
Ediu Carlos da Silva Junior ◽  
Diogo Corrêa Santos ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Soil Quality ◽  
Carbon Stock ◽  
Quality Index ◽  
Native Forest ◽  
Spectral Indices ◽  
Soil Quality Index ◽  
Mining Operations ◽  
Soil Carbon Stock ◽  
Soc Stock

Rehabilitation is the key factor for improving soil quality and soil carbon stock after mining operations. Monitoring is necessary to evaluate the progress of rehabilitation and its success, but the use of repeated field surveys is costly and time-consuming at a large scale. This study aimed to monitor the environmental/soil rehabilitation process of an Amazonian sandstone mine by applying spectral indices for predicting soil organic carbon (SOC) stock and comparing them to soil quality index. The studied area has different chronological rehabilitation stages: initial, intermediate, and advanced with 2, 10, and 12 years of onset rehabilitation activities, respectively. Non-rehabilitated (NR) and two native forest areas (RA) were used as controls. Soil samples were analyzed for physical, chemical, and biological attributes. After determination of Normalized Difference Vegetation Index and Bare Soil Index, simple regression analysis comparing these indices with SOC stock showed a good fit (R2 = 0.82). Rehabilitated areas presented higher soil quality index (~1.50-fold) and SOC stock (~10.6-fold) than NR; however, they did not differ of RA. The use of spectral indices was effective for monitoring the soil quality in this study, with a positive correlation between the predicted SOC stock and the calculated soil quality index.

scholarly journals SPATIAL VARIABILITY OF PHYSICAL ATTRIBUTES, LITTER AND SOIL CARBON STOCK IN A FAMILY FARMING SYSTEM IN TOCANTINS

2020 ◽  
Vol 28 ◽  
pp. 37-50
Author(s):  
Wilma Dias Santana ◽  
Antônio Clementino dos Santos ◽  
Amanda Da Silva Reis ◽  
Rodrigo De Castro Tavares ◽  
Gilson Araújo de Freitas
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Spatial Variability ◽  
Soil Carbon ◽  
Carbon Stock ◽  
Farming System ◽  
Native Forest ◽  
Family Farming ◽  
Soil Carbon Stock ◽  
Physical Attributes

The monitoring of soil attributes allows the evaluation of its ability to perform its functions within an agroecosystem. The objective of this work was to evaluate the spatial variability of soil physical attributes, litter and carbon stock in a family farming system in the Cerrado Tocantinense. The area is located in the southern region in the state in the municipality of Aliança do Tocantins. Four types of land use were diagnosed in the area: brachiaria pasture intercropped with stylosanthes, Andropogon pasture, orchard and native forest. The native forest was considered as a reference. The study area totaled 7.9 ha-1 in which it was distributed an irregular sample grid composed of 160 points. Deformed and undeformed samples were collected for each georeferenced point at depths of 0-10 and 10-20 cm, as well as samples to determine the litter and soil carbon stock. Data were submitted to exploratory analysis and geostatistical study. It was found that the conversion of native forest for different soil uses through orchard, brachiaria, andropogon and native forest caused spatial variability in physical attributes, litter and soil carbon stock at depths 0-10 and 10-20 cm. The orchard subarea stood out as a promising system in the accumulation of organic carbon due to cattle manure.

Soil carbon stock in balsa wood after fertilization strategies

2021 ◽  
Vol 56 ◽  
Author(s):  
Sandro Marcelo Caravina ◽  
Maurel Behling ◽  
Cornélio Alberto Zolin ◽  
Ciro Augusto de Souza Magalhães ◽  
Onã da Silva Freddi ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Carbon Stock ◽  
Carbon Stocks ◽  
Total Carbon ◽  
Native Forest ◽  
Balsa Wood ◽  
Soil Carbon Stock ◽  
Soil Biomass ◽  
Soil Carbon Stocks ◽  
Fertilization Level

Abstract: The objective of this work was to evaluate whether balsa wood plantation and its fertilization can improve soil carbon stocks. Total carbon stocks in the soil-biomass system, at 0.0-0.30 m soil depths, were evaluated under three fertilization strategies, after three and seven years, and compared with carbon stocks from native forest and degraded pasture. At the highest fertilization level, balsa wood showed a carbon stock similar to that of the native forest (65.38 Mg ha-1) and, after seven years, it increased carbon stock by 18% in the soil, and by 42% in the soil-biomass system.

scholarly journals Morphological diversity of springtails (Hexapoda: Collembola) as soil quality bioindicators in land use systems

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Julia da Silva Machado ◽  
Luís Carlos Iuñes Oliveira Filho ◽  
Julio Cesar Pires Santos ◽  
Alexandre Tadeu Paulino ◽  
Dilmar Baretta
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Morphological Diversity ◽  
Native Forest ◽  
No Tillage ◽  
Soil Quality Index ◽  
Eucalyptus Plantations ◽  
Tillage System ◽  
Abundance And Diversity ◽  
Physical And Chemical

Abstract: The aim of this work was to evaluate the soil quality of native forest, eucalyptus plantations, pasture, integrated crop-livestock, and no-tillage systems, correlating the morphological diversity of springtails with physical and chemical soil properties. Springtail samples were captured from soils of the southern plateau of the State of Santa Catarina in Brazil, during winter and summer, by using Pitfall traps, using a 3 × 3 point grid. The morphotyping of springtails consisted of the observation of five traits and for each one a partial value of the eco-morphological index was assigned to obtain the modified Soil Quality Index. A correlation of the morphotype abundance and diversity with physical (soil moisture, bulk density, biopores, microporosity, and macroporosity) and chemical (pH in water, calcium/magnesium ratio and total organic carbon content) soil properties was studied, describing all results by variance and multivariate analyses. The springtail abundance and diversity were influenced by the different land use systems. Higher soil quality index was determined in native forest followed by eucalyptus plantations, pasture, no-tillage system and integrated crop-livestock, in the winter. Moreover, higher soil quality index was found in native forest followed by integrated crop-livestock, eucalyptus plantations, no-tillage system and pasture, in the summer. Therefore, the quality index of a soil can be evaluated by the springtail morphological traits in correlation with the physical and chemical properties such as calcium/magnesium ratio, total organic carbon contents, biopores, macroporosity, microporosity, soil moisture, bulky density and pH.

scholarly journals Assessment of land use change and its effect on soil carbon stock using multitemporal satellite data in semiarid region of Rajasthan, India

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Garima Sharma ◽  
L. K. Sharma ◽  
K. C. Sharma
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Soil Carbon ◽  
Satellite Data ◽  
Carbon Stock ◽  
Agricultural Land ◽  
Land Use Management ◽  
Soil Carbon Stock ◽  
Time Period ◽  
Soc Stock

Abstract Background Land use change plays a vital role in global carbon dynamics. Understanding land use change impact on soil carbon stock is crucial for implementing land use management to increase carbon stock and reducing carbon emission. Therefore, the objective of our study was to determine land use change and to assess its effect on soil carbon stock in semi-arid part of Rajasthan, India. Landsat temporal satellite data of Pushkar valley region of Rajasthan acquired on 1993, 2003, and 2014 were analyzed to assess land use change. Internal trading of land use was depicted through matrices. Soil organic carbon (SOC) stock was calculated for soil to a depth of 30 cm in each land use type in 2014 using field data collection. The SOC stock for previous years was estimated using stock change factor. The effect of land use change on SOC stock was determined by calculating change in SOC stock (t/ha) by deducting the base-year SOC stock from the final year stock of a particular land use conversion. Results The total area under agricultural lands was increased by 32.14% while that under forest was decreased by 23.14% during the time period of 1993–2014. Overall land use change shows that in both the periods (1993–2003 and 2003–2014), 7% of forest area was converted to agricultural land and about 15% changes occurred among agricultural land. In 1993–2003, changes among agricultural land led to maximum loss of soil carbon, i.e., 4.88 Mt C and during 2003–2014, conversion of forest to agricultural land led to loss in 3.16 Mt C. Conclusion There was a continuous decrease in forest area and increase in cultivated area in each time period. Land use change led to alteration in carbon equity in soil due to change or loss in vegetation. Overall, we can conclude that the internal trading of land use area during the 10-year period (1993–2003) led to net loss of SOC stock by 8.29 Mt C. Similarly, land use change during 11-year period (2003–2014) caused net loss of SOC by 2.76 Mt C. Efforts should be made to implement proper land use management practices to enhance the SOC content.

scholarly journals Spatialization of soil quality index in the Sub-Basin of Posses, Extrema, Minas Gerais

2016 ◽  
Vol 20 (1) ◽  
pp. 78-84
Author(s):  
Gabriela C. Lima ◽  
Marx L. N. Silva ◽  
Diego A. F. de Freitas ◽  
Bernardo M. Cândido ◽  
Nilton Curi ◽  
...  
Keyword(s):  
Soil Quality ◽  
Water Conservation ◽  
Quality Index ◽  
Exponential Model ◽  
Environmental Services ◽  
Native Forest ◽  
Soil Quality Index ◽  
Payment For Environmental Services ◽  
Annual Crops ◽  
Physical Attributes

ABSTRACT This study aimed to determine and spatialize the soil quality index (SQI), in relation to chemical and physical attributes, and evaluate its use in the payment for environmental services in the Sub-Basin of Posses, Extrema-MG, Brazil, which represents the Atlantic Forest Biome. SQI values were influenced by both the replacement of native forests by stands of eucalyptus and by pastures and annual crops, reflecting in the reduction of soil quality in the sampled layer in the evaluated systems. The spatialization of SQI showed values ranging from 0.40 to 0.80, with some specific areas with high values and others with values above 1.00 (native forest). The reforestation with eucalyptus conditioned most of the soils with low chemical and physical deterioration, due to accumulation of litter. The lowest SQI values are associated with pastures. SQI adjusted to the exponential model, which allowed the use of ordinary Kriging. The SQI has a great potential of use in the payment to farmers who provide services of soil and water conservation.

Soil carbon stock estimations: methods and a case study of the Maranhão State, Brazil

2021 ◽  
Author(s):  
Telmo José Mendes ◽  
Diego Silva Siqueira ◽  
Eduardo Barretto de Figueiredo ◽  
Ricardo de Oliveira Bordonal ◽  
Mara Regina Moitinho ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Carbon Stock ◽  
Soil Carbon Stock

A new approach to elaborate a multifunctional soil quality index

2004 ◽  
Vol 4 (3) ◽  
pp. 201-204 ◽  
Author(s):  
Giancarlo Barbiroli ◽  
Giovanni Casalicchio ◽  
Andrea Raggi
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Soil Quality Index ◽  
New Approach

scholarly journals Land Degradation Vulnerability Mapping in a Newly-Reclaimed Desert Oasis in a Hyper-Arid Agro-Ecosystem Using AHP and Geospatial Techniques

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1426
Author(s):  
Ahmed S. Abuzaid ◽  
Mohamed A. E. AbdelRahman ◽  
Mohamed E. Fadl ◽  
Antonio Scopa
Keyword(s):  
Remote Sensing ◽  
Soil Quality ◽  
Land Degradation ◽  
Quality Index ◽  
Management Strategies ◽  
Remote Sensing Data ◽  
Western Desert ◽  
Soil Quality Index ◽  
Climate Conditions ◽  
Sensing Data

Modelling land degradation vulnerability (LDV) in the newly-reclaimed desert oases is a key factor for sustainable agricultural production. In the present work, a trial for usingremote sensing data, GIS tools, and Analytic Hierarchy Process (AHP) was conducted for modeling and evaluating LDV. The model was then applied within 144,566 ha in Farafra, an inland hyper-arid Western Desert Oases in Egypt. Data collected from climate conditions, geological maps, remote sensing imageries, field observations, and laboratory analyses were conducted and subjected to AHP to develop six indices. They included geology index (GI), topographic quality index (TQI), physical soil quality index (PSQI), chemical soil quality index (CSQI), wind erosion quality index (WEQI), and vegetation quality index (VQI). Weights derived from the AHP showed that the effective drivers of LDV in the studied area were as follows: CSQI (0.30) > PSQI (0.29) > VQI (0.17) > TQI (0.12) > GI (0.07) > WEQI (0.05). The LDV map indicated that nearly 85% of the total area was prone to moderate degradation risks, 11% was prone to high risks, while less than 1% was prone to low risks. The consistency ratio (CR) for all studied parameters and indices were less than 0.1, demonstrating the high accuracy of the AHP. The results of the cross-validation demonstrated that the performance of ordinary kriging models (spherical, exponential, and Gaussian) was suitable and reliable for predicting and mapping soil properties. Integrated use of remote sensing data, GIS, and AHP would provide an effective methodology for predicting LDV in desert oases, by which proper management strategies could be adopted to achieve sustainable food security.

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