Estimating and mapping soil Available Water Capacity in Nigeria using legacy data and digital soil mapping techniques

GlobalSoilMap ◽  
2014 ◽  
pp. 161-166
Author(s):  
S Ugbaje ◽  
H Reuter
Keyword(s):  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Legacy Data ◽  
Mapping Techniques

scholarly journals What is the Best Inference Trajectory for Mapping Soil Functions: An Example of Mapping Soil Available Water Capacity over Languedoc Roussillon (France)

Soil Systems ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 34 ◽  
Author(s):  
Quentin Styc ◽  
Philippe Lagacherie
Keyword(s):  
Soil Properties ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Soil Functions ◽  
Mapping Procedure ◽  
Soil Function ◽  
Soil Layers ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity

Extending digital soil mapping to the mapping of soil functions that can support end-user decisions comes to coupling a digital soil mapping procedure and a soil function assessment method. This can be done following various possible inference trajectories following the order with which “combining primary soil properties”, “aggregating soil layers across depths” and “mapping” are executed to provide the targeted output. Eighteen inference trajectories, designed for computing soil available water capacity maps in the Languedoc–Roussillon region (France), were compared with regard to their mapping performances. The best performance (SSMSE = 0.42) was obtained by a trajectory that, before mapping, combined the three first GlobalSoilMap soil layers and computed the available water capacity of each layer. The worst (SSMSE = 0.07) was observed when all the soil layers and soil properties were combined prior to mapping. We explain the observed differences between trajectories by examining the differences in mapping errors and in error propagation between the compared trajectories, which involve both the correlations between the soil properties and between their mapping errors. This paves the way to spatial soil inference systems that could perform an ex ante selection of the best possible inference trajectory for mapping a soil function.

scholarly journals Determination of the effects of tillage on the productivity of a sandy loam soil using soil productivity models

2021 ◽  
Vol 67 (No. 3) ◽  
pp. 108-115
Author(s):  
Tanko Bako ◽  
Ezekiel Ambo Mamai ◽  
Istifanus Akila Bardey
Keyword(s):  
Organic Matter ◽  
Iron Oxide ◽  
Bulk Density ◽  
Aluminium Oxide ◽  
Available Phosphorus ◽  
Soil Productivity ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Tillage Methods

Based on the hypothesis that soil properties and productivity components should be affected by different tillage methods, field and laboratory experiments were conducted to study the effects of zero tillage (ZT), one pass of disc plough tillage (P), one pass of disc plough plus one pass of disc harrow tillage (PH) and one pass of disc plough plus two passes of disc harrow tillage (PHH) on the distribution of the bulk density, available water capacity, pH, organic matter, available phosphorus, iron oxide and aluminium oxide at different soil depths, and their effects on the soil productivity. The available water capacity, pH, organic matter and available phosphorus were found to increase with the degree of tillage, while the bulk density, iron oxide and aluminium oxide were found to decrease with the degree of tillage. The results show that the soil productivity index was significantly (P ≤ 0.05) affected by the tillage methods and found to increase with the degree of tillage.

scholarly journals Improvement of soil available water capacity using biopore infiltration hole with compost in a coffee plantation

2021 ◽  
Vol 8 (3) ◽  
pp. 2791-2799
Author(s):  
Atiqah Aulia Hanuf ◽  
Sugeng Prijono ◽  
S Soemarno
Keyword(s):  
Chlorophyll Content ◽  
Soil Depth ◽  
Block Design ◽  
Control Treatment ◽  
Coffee Plantation ◽  
Coffee Tree ◽  
Coffee Pulp ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity

Coffee plantation management has an important role in soil quality in order to increase coffee production. Biopore Infiltration Hole with Compost (BIHC) can increase soil available water capacity. In this study, the goal was to improve soil available water capacity in a coffee plantation with the implementation of the BIHC. This study was conducted at PTPN XII Bangelan, Malang, on March - August 2020. A randomized block design with seven treatments and four replications was used. The BIHC consisted of two-hole depths (30 cm and 60 cm) and two types of compost (goat manure and coffee pulp compost). The soil characteristics observed were water retention (pF) and C-organic at soil depths of 0-20, 20-40, and 40-60 cm. The coffee tree observed were number of leaves and chlorophyll content. Data obtained were subjected to analysis of variance (ANOVA) by the F test and Duncan's Multiple Distance Rate Test (DMRT) at 5% probability, using SPSS program. Results of the study showed that BIHC was able to increase the content of soil C-organic and the available water capacity significantly compared with control treatment. The BIHC implementation could increase soil available water capacity up to 65% at a soil depth of 0-20 cm, up to 60% at a soil depth of 20-40 cm, and up to 51% at a soil depth of 40-60 cm more than the control treatment. The soil available water capacity suggested a significant positive correlation (p≤0.05) with the leaves number of coffee tree and chlorophyll content of leaves.

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