Effects of Different Land Uses and Cultivation Periods on Spatial Distribution of Soil Nutrients in Karst Mountainous Region*

2011 ◽  
Vol 17 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Chuanyan ZHOU ◽  
Xun CHEN ◽  
Guoyi ZHOU ◽  
Junhua YAN
Keyword(s):  
Spatial Distribution ◽  
Soil Nutrients ◽  
Mountainous Region ◽  
Land Uses

scholarly journals Effect of Soil Orders and Land Uses on Available Soil Nutrients in Meghalaya, India

2020 ◽  
pp. 62-71
Author(s):  
Chandan Goswami ◽  
Naorem Janaki Singh ◽  
Bijoy Krishna Handique
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Soil Nutrients ◽  
Land Management ◽  
Mean Value ◽  
Soil Samples ◽  
Land Uses ◽  
Sustainable Land Management ◽  
P2o5 Content ◽  
Zn Content

Understanding of spatial distribution of available soil nutrients is important for sustainable land management. An attempt has been made to assess the spatial distribution of available soil nutrients under different soil orders and land uses of RiBhoi, Meghalaya, India using geo-statistical techniques. Seven Land Use Land Cover (LULC) classes were selected from LULC map on 1:50,000 scale prepared by National Remote Sensing Centre (NRSC) viz. Abandoned Jhum (AJ), Current Jhum (CJ), Deciduous Forest (DF), Double Crop (DC), Evergreen Forest (EF), Kharif Crop (KC) and Wastelands (WL). Again, three soil orders were identified by National Bureau of Soil Survey and Land Use Planning (NBSS&LUP) in RiBhoi district of Meghalaya, India viz. Alfisols, Inceptisols and Ultisols. 105 soil samples were collected, 5 replicated soil samples from 21 strata derived from 7 LULC and 3 soil orders. Soil samples were analyzed for available nitrogen (N), available phosphorus (P2O5), available potassium (K2O) and available zinc (Zn) using standard procedures. One way ANOVA was carried out using IBM SPSS Statistics 20.0 software. Significance levels were tested at p≤0.05. N content varied from low (215.50 kg/ha) to medium (414.30 kg/ha) with mean value of 291.50 kg/ha. On the other hand, P2O5 content varied from low (19.90 kg/ha) to high (68.30 kg/ha) with mean value of 43.52 kg/ha. Similarly, K2O content varied from low (112.09 kg/ha) to high (567.84 kg/ha) with mean value of 273.68 kg/ha. Again, Zn also varied from low (0.26 ppm) to high (1.46 ppm) with mean value of 0.64 ppm. In Alfisols, N was found to be higher in EF, AJ & CJ than DF, DC, KC and WL. KC has been found to have lower N than all other LULC classes. Higher P2O5 has been found under EF over KC and WL. AJ has been found to have higher K2O than all other LULC classes. K2O has also been found to be higher in CJ over DC, KC and WL. DF and EF have been found to have higher K2O than KC and WL. Zn has been found to be higher in EF over CJ, DC and WL. In Inceptisols, higher amount of N was observed under EF over all other LULC classes. Higher N has also been found under CJ over DF, DC, KC and WL. P2O5 content was found to be higher under DF over all other LULC classes. Higher P2O5 content was also found under AJ, CJ and DC than KC and WL. Higher amount of K2O has been found under AJ over all other LULC. K2O content of soil under DF was also higher than CJ, EF, KC and WL. Zn has been found to be higher under EF over all other LULC classes. Zn content under CJ has also been found to be higher than AJ, DF, KC and WL. In Ultsols, higher amount of N has been found under EF compared to all other LULC classes. Lowest N content was found under KC. P2O5 content was found to be higher under EF, DF and AJ over all other LULC. K2O content has been found to be higher under CJ in comparison to all other LULC classes. K2O content of EF and DF were also found to be higher than AJ, DC, KC and WL. Again, K2O content has been found to be higher under DC compared to AJ, KC and WL. Zn content under EF and AJ was found to be higher than all other LULC classes. CJ, DF, DC, KC and WL have been found to have lower Zn content. It has been observed that P2O5 content is significantly higher in inceptisols irrespective of LULC classes. The study has highlighted the spatial distribution of available soil nutrients as a function of soil orders and LULC. This will be a useful input in sustainable land management programmes.

Modelling Agricultural Controls for Flooding and Soil Erosion

2018 ◽  
pp. 776-796
Author(s):  
Roger Moussa ◽  
Bruno Cheviron
Keyword(s):  
Spatial Distribution ◽  
Model Structure ◽  
Land Uses ◽  
Research Challenges ◽  
Water And Sediment ◽  
Flow Processes ◽  
Cultivation Practices ◽  
Modelling Strategies ◽  
The Impact ◽  
Significant Factors

Floods are the highest-impact natural disasters. In agricultural basins, anthropogenic features are significant factors in controlling flood and erosion. A hydrological-hydraulic-erosion diagnosis is necessary in order to choose the most relevant action zones and to make recommendations for alternative land uses and cultivation practices in order to control and reduce floods and erosion. This chapter first aims to provide an overview of the flow processes represented in the various possible choices of model structure and refinement. It then focuses on the impact of the spatial distribution and temporal variation of hydrological soil properties in farmed basins, representing their effects on the modelled water and sediment flows. Research challenges and leads are then tackled, trying to identify the conditions in which sufficient adequacy exists between site data and modelling strategies.

scholarly journals THE ASSOCIATION BETWEEN LAND-USE DISTRIBUTION AND RESIDENTIAL PATTERNS: THE CASE OF MIXED ARAB-JEWISH CITIES IN ISRAEL

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Ran GOLDBLATT ◽  
Itzhak OMER
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
High Resolution ◽  
Urban Environment ◽  
Residential Segregation ◽  
Large Scale ◽  
Land Uses ◽  
Residential Areas ◽  
Residential Patterns ◽  
Spatial Policy

The emergence of GIS and the availability of high resolution geographic data have improved our ability to investigate the residential segregation in cities and to identify the temporal changes of the spatial phenomena. Using GIS, we have quantitatively and visually analyzed the correspondence between land-use distribution and Arab residential patterns and their changes in the period between 1983 and 2008 in five mixed Arab-Jewish Israeli cities. Results show a correspondence between the dynamics of Arab/Jewish residential patterns and the spatial distribution of various land-uses. Arab residential patterns diffused faster towards areas with relatively inferior land-uses than towards areas with more attractive land-uses, in which a gentrification process occurred. Moreover, large-scale non-residential land-uses act as spatial partitions that divide between Arab and Jewish residential areas. Understanding the association between the urban environment and residential patterns can help in formulating an appropriate social and spatial policy concerning planning of land-uses and design of the built environment in mixed cities.

Soil C quantities of mangrove forests, their competing land uses, and their spatial distribution in the coast of Honda Bay, Philippines

Geoderma ◽  
2017 ◽  
Vol 293 ◽  
pp. 82-90 ◽  
Author(s):  
Jose Alan A. Castillo ◽  
Armando A. Apan ◽  
Tek Narayan Maraseni ◽  
Severino G. Salmo
Keyword(s):  
Spatial Distribution ◽  
Mangrove Forests ◽  
Land Uses ◽  
Soil C

scholarly journals DISTRIBUCIÓN ESPACIAL, COMPOSICIÓN Y DENSIDAD DE EDAFOFAUNA EN HOJARASCA DE BOSQUE Y CAFETAL (MONTENEGRO, COLOMBIA)

2016 ◽  
Vol 21 (2) ◽  
pp. 399-412
Author(s):  
Diana Marcela Rueda-Ramírez ◽  
Amanda Varela
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Functional Groups ◽  
Total Density ◽  
Land Uses ◽  
Coffee Plantation ◽  
Fauna Composition ◽  
Distribution Composition ◽  
Taxonomic Groups ◽  
Almost All

<p>Se determinaron los cambios en composición, densidad y distribución espacial de la edafofauna de hojarasca entre dos usos de suelo (cafetal y bosque subandino) para entender el efecto del uso de suelo. Asimismo, se establecieron las relaciones entre las variables de la edafofauna y atributos de la hojarasca. Se colectaron muestras de hojarasca superficial durante la época seca y se extrajo la edafofauna, manualmente y mediante embudos Berlese modificados. Esta se identificó hasta el menor nivel taxonómico posible y se clasificó en grupos funcionales<span>. La composición faunística fue diferente entre los usos de suelo. La similitud en la composición fue menor al 50 % en dos de los tres grupos funcionales encontrados, pero la densidad total no presentó diferencias. En general hubo coeficientes de variación altos en la densidad faunística intermuestral para los diferentes grupos taxonómicos y, en consecuencia, una baja detectabilidad del patrón espacial. Sin embargo, se detectó un patrón espacial en la abundancia para Coleoptera, larvas de Diptera y biomasa de hojarasca, en el cafetal. La estructura fue más difícil de detectar en bosque, por los pequeños parches en este. La varianza de la abundancia fue mayor en el cafetal, para todos los grupos, excepto Acaridida y Formicidae. La densidad de Formicidae aumentó al hacerlo la humedad de la hojarasca, pero solo en cafetal. Se concluye que el establecimiento del cafetal afecta de manera diferencial a taxones y grupos funcionales de la edafofauna. Esto sienta las bases para definir los efectos del cambio de uso de suelo y los factores ambientales asociados con la distribución espacial de la edafofauna.</span></p><p><strong>Spatial Distribution, Composition and Density of the Leaflitter Edaphofauna in Forest and Coffee Plantation (Montenegro,Colombia)</strong></p><p>Changes in composition, density and spatial distribution on the litter edaphic fauna between two land uses (a coffee plantation and a tropical Andean forest) were established, in order to understand the soil use effects. Also, the relationships between the biotic variables and some litter features were evaluated. Superficial litter samples were collected during dry season. The edaphic fauna was extracted manually and with modified Berlese funnels; it was identified up to the lower taxonomic level and classified in functional groups. Differences in fauna composition were observed between the two land uses. Composition similarity was lower than 50 % for almost all functional groups found, but total density did not differ between the land uses. In general, there was a high variation in density among samples resulting in higher coefficients of variation for different taxonomic groups and consequently low detectability of spatial pattern. However a spatial pattern was detected only for Coleoptera, Diptera larvae and litter biomass in the coffee plantation. The structure in forest was more difficult to detect, due to the smaller patches on it. The variance of abundance was significantly higher in the coffee plantation for all groups, except Acaridida and Formicidae. Density of Formicidae increased with the enhancement of litter moisture, but only in the coffee plantation. In conclusion, the establishment of coffee plantation differentially affects taxa and functional groups of soil fauna. This is the basis for establishing the effects of soil change use, and the environmental factors associated with spatial distribution of edaphic fauna.</p>

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