Soil Properties, and Soil Organic Carbon Stocks of Tropical Andosol under Different Land Uses

Abera, Girma; Wolde-meskel, Endalkachew

doi:10.4236/ojss.2013.33018

Cited by 43 publications

(28 citation statements)

References 36 publications

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“…Perennial plants are adequately supplied with water most years. In most similar areas, two crops can be grown each year, but the available water is less reliable for some of the year and farmers often plant more drought-tolerant crops [35].…”

Section: Study Areamentioning

confidence: 99%

Soil Moisture Analysis by Means of Multispectral Images According to Land Use and Spatial Resolution on Andosols in the Colombian Andes

Casamitjana

Torres-Madronero

et al. 2020

Applied Sciences

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Surface soil moisture is an important hydrological parameter in agricultural areas. Periodic measurements in tropical mountain environments are poorly representative of larger areas, while satellite resolution is too coarse to be effective in these topographically varied landscapes, making spatial resolution an important parameter to consider. The Las Palmas catchment area near Medellin in Colombia is a vital water reservoir that stores considerable amounts of water in its andosol. In this tropical Andean setting, we use an unmanned aerial vehicle (UAV) with multispectral (visible, near infrared) sensors to determine the correlation of three agricultural land uses (potatoes, bare soil, and pasture) with surface soil moisture. Four vegetation indices (the perpendicular drought index, PDI; the normalized difference vegetation index, NDVI; the normalized difference water index, NDWI, and the soil-adjusted vegetation index, SAVI) were applied to UAV imagery and a 3 m resolution to estimate surface soil moisture through calibration with in situ field measurements. The results showed that on bare soil, the indices that best fit the soil moisture results are NDVI, NDWI and PDI on a detailed scale, whereas on potatoes crops, the NDWI is the index that correlates significantly with soil moisture, irrespective of the scale. Multispectral images and vegetation indices provide good soil moisture understanding in tropical mountain environments, with 3 m remote sensing images which are shown to be a good alternative to soil moisture analysis on pastures using the NDVI and UAV images for bare soil and potatoes.

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Section: Study Areamentioning

confidence: 99%

Soil Moisture Analysis by Means of Multispectral Images According to Land Use and Spatial Resolution on Andosols in the Colombian Andes

Casamitjana

Torres-Madronero

et al. 2020

Applied Sciences

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“…Soil samples were taken from the four corners and center of the 40 m × 5 m sub plot for the natural forest and the 10 m × 10 m plot of the crop land, grazing land, and coffee agroforestry. The samples were taken from three depths (0-20, 20-40, and 40-60 cm) using auger [33] taking into account the current standard depth of 30 cm recommended for C accounting purposes [34][35][36]. Hence, three composite samples per plot were collected for laboratory analysis of organic carbon, total nitrogen, soil texture, and pH.…”

Section: Land Use Symbol Definitionmentioning

confidence: 99%

Carbon stock under major land use/land cover types of Hades sub-watershed, eastern Ethiopia

Toru

Kibret

2019

Carbon Balance Manage

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Background: Developing land management scenarios that have the potential to sequester carbon and reduce greenhouse gasses (GHG) emission on a sustainable basis entails quantifying the current carbon stock under different land uses. In light of this, a study was conducted in Hades sub-watershed, eastern Ethiopia, to explore the carbon stock under four major land uses: natural forest, coffee agroforestry, grazing land and cropland, involving samples from four carbon pools: aboveground, belowground, litter, and soil. To this end, vegetation and soil samples were collected from the respective land uses following recommended procedures. Results:The results indicate that organic carbon concentration decreased with soil depth though substantial amount of carbon was found in the lower soil depths under land use with woody perennials. The mean total organic carbon stock ranged from 138.95 t ha −1 in the cropland to 496.26 t ha −1 in the natural forest. The soil organic carbon stock was found to be relatively higher than that of the vegetation carbon stock in the natural forest and coffee agroforestry land uses. Conclusion:This study highlights the importance of assessing watershed level carbon stock for better and carbon friendly land use decision making. Land uses with woody perennials have high carbon stock than those without. Hence, conservation-based production systems with inclusion of woody perennials are options suggested to enhance carbon sequestration in the sub watershed.

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“…However, the potentiality of such ecosystems to store C in vegetation and soil is influenced by the vegetative cover, climate, species, management practices, and human interventions (Dung, Tue, Nhuan, & Omori, 2016;Ngo et al, 2013). The LUC from primary to secondary forests decreases both vegetation and soil C stocks (Ngo et al, 2013;Ogle, Breidt, & Paustian, 2005) and degrades soil properties (Abera & Wolde-Meskel, 2013;Saha, Kukul, & Sharma, 2011). Loss of biodiversity due to LUC from forest to plantations or grasslands degrades natural vegetative structure and lowers the ground water table (Ahrends et al, 2015), which further affect the ecosystem's C dynamics (De Camargo et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Ecosystem carbon sequestration through restoration of degraded lands in Northeast India

et al. 2017

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This study evaluated the ecosystem carbon (C) stock and sequestration potential for predominant land uses converted from forest in Northeast India to advance the scientific knowledge and minimize the anthropogenic C emissions from land use change (LUC). Field assessments were conducted on 6 predominant land uses including (a) natural forest (NF), (b) degraded forest (DF), (c) rubber (Hevea brasiliensis) plantation (RP), (d) Areca (Areca catechu) plantation (ArP), (e) pan (Piper betle) jhum (slash and mulching) agroforestry (PB), and (f) Imperata grassland (IG) of Northeast India to assess changes in ecosystem C stock with progressive and retrogressive LUC. Ecosystem C stock was the highest for NF (300.5 Mg ha À1) and the lowest under IG (110.4 Mg ha À1 ). The ecosystem C stock under PB and IG was 11% and 63%, respectively, lower than that under NF. In comparison with DF, the gain in ecosystem C was in the order PB (125%) > RP (99%) > ArP (4%). The ratio of soil organic carbon to ecosystem C stock was~50% for NF, PB, and RP and that shifted to~80% for ArP/DF/IG. The LUC and management of DF through PB and RP indicated the ecosystem C sequestration rate of 5 and 4 Mg ha À1 year À1, respectively. Similarly, the ecosystem C sequestration rate was 0.5 and 4 Mg ha À1 year À1 , respectively, when IG was converted into ArP and RP. Therefore, restoration of degraded lands (viz., DF and IG) through RP and PB enhanced ecosystem C sequestration rate and reduced CO 2 emissions from LUC.

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Soil Properties, and Soil Organic Carbon Stocks of Tropical Andosol under Different Land Uses

Cited by 43 publications

References 36 publications

Soil Moisture Analysis by Means of Multispectral Images According to Land Use and Spatial Resolution on Andosols in the Colombian Andes

Soil Moisture Analysis by Means of Multispectral Images According to Land Use and Spatial Resolution on Andosols in the Colombian Andes

Carbon stock under major land use/land cover types of Hades sub-watershed, eastern Ethiopia

Ecosystem carbon sequestration through restoration of degraded lands in Northeast India

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