Spatial variation of soil carbon and nitrogen pools by using ordinary Kriging method in an area of north Nile Delta, Egypt

Elbasiouny, Heba; Abowaly, Mohamed; Abu_Alkheir, Adel; Gad, A.

doi:10.1016/j.catena.2013.09.008

Cited by 106 publications

(67 citation statements)

References 31 publications

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“…The mean vegetation C stocks of the mangrove forest in Hainan Island were 70.58 MgC ha -1 (Table 3). The result is similar to that reported for Yingluo Bay [34]. The study demonstrated that there were significant differences in C stocks among mangrove types, which was opposite to those along the Pacific and Caribbean coasts of Honduras [35].…”

Section: Stock Estimates Of Mangrove Ecosystemssupporting

confidence: 88%

“…Roots played an essential role in C stocks as decomposition of roots deeply influenced carbon sequestration [36]. The vegetation C stock of mangroves on Hainan Island was similar to that of mangroves in the Sundarbans [37] and Yingluo Bay [34], and substantially lower than that in Borneo and Sulawesi [14] and Palau, Micronesia [15]. Based on the height and DBH of the mangrove trees on Hainan Island, they are medium-sized forests compared to most others in the tropical zone.…”

Section: Stock Estimates Of Mangrove Ecosystemsmentioning

confidence: 98%

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Carbon Stocks of Coastal Wetland Ecosystems on Hainan Island, China

Gao¹,

Dongjing²,

Guan³

et al. 2018

Pol. J. Environ. Stud.

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Section: Stock Estimates Of Mangrove Ecosystemssupporting

confidence: 88%

Section: Stock Estimates Of Mangrove Ecosystemsmentioning

confidence: 98%

Carbon Stocks of Coastal Wetland Ecosystems on Hainan Island, China

Gao¹,

Dongjing²,

Guan³

et al. 2018

Pol. J. Environ. Stud.

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“…Recently, more researches have been conducted investigating the temporal and spatial variability of SOC and STN at different scales, especially on a large scale (Elbasiouny et al 2014;Huang et al 2007). In the last two decades, geostatistical methods such as kriging have been applied successfully to describe and predict the spatial variability of the physical and chemical parameters of soil (Castrignanòa et al 2000;Iqbal et al 2005;Yost et al 1982) and generate soil maps by the spatial interpolation in different scale regions (Cambardella et al 1994;Elbasiouny et al 2014).…”

Section: Introductionmentioning

confidence: 98%

Spatial and temporal variations of soil organic carbon and total nitrogen pools in the coastal reclamation area, eastern China

et al. 2015

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The spatial and temporal variation of soil organic carbon (SOC) and soil total nitrogen (STN) in a coastal reclamation area in eastern China were studied based on the ordinary kriging method. The 0-20 cm soil organic carbon pool (SOCP) and soil total nitrogen pool (STNP) ranged from 4.38 to 15.92 Mg/ha and from 0.24 to 2.37 Mg/ha, respectively, during the observed period. The results show there was a low level of spatial variation in both SOC and STN, which is to some extent the result of the same farmland management practiced in this region. The seasonal variation of SOC was attributed to plant growth and crop residue returning back to soil, while the spatial variation was mainly resulted from the fertilization practice. The average 0-20 cm SOCP and STNP were 10.38 ± 2.50 and 1.27 ± 0.38 Mg/ha, respectively, in the study region, both of which were much lower than in other ecosystems. Further analysis indicated that SOC was positively correlated with STN. This work revealed that the reclamation area from the tidal flat should be a potential sink for SOC and STN.

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“…The results reported that there was strong spatial dependence in topsoil, whereas moderate spatial dependence in subsoil. Elbasiouny et al (2014) conducted a survey about the spatial variability of soil carbon and nitrogen pools in north Nile Delta, which was significant to obtain a better understanding of biological process and was crucial to make good strategies and managements to develop sustainable agriculture by using ordinary Kriging method.…”

Section: Introductionmentioning

confidence: 99%

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

Liu

Zhang

et al. 2016

Ecological Engineering

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a b s t r a c tSoil salinization is one of serious ecological problems around the world, which seriously restricts the stability of ecosystem and the economic development of agriculture. Mapping and monitoring spatial distribution of soil salinity is important for management of ecology and agriculture. This study was carried out to explore the spatial distribution of soil salinity in the Yellow River Delta using the portable device EM38-MK2 with geostatistical analysis. Apparent soil electrical conductivities were measured under four kinds of measurement modes (0.5H, 0.5 V, 1.0H and 1.0 V, respectively). The results revealed that electrical conductivity of 1:5 soil to water extract (ECe) varied from 0.965 to 1.872 dS m −1 for all sampled soil profiles, and the salinity of topsoil was the highest, which indicated that soil soluble salts accumulated to the surface. The salinity in the top layer showed strong spatial variability while salinities of other layers were moderate. Soil salinity displayed a significant zonal distribution, gradually decreasing with the increase of distance to the coastline. The regions with high ECa values were located in the north and the east of the study area, whereas regions with low ECa values were located in the south and the west parts. The correlation coefficient showed that salinities of adjacent two soil layers reached a significant level of 0.01, and gradually decreased with increasing soil depth. The linear interpretation models with ECa as independent variables and ECe as dependent variables for each depth were with R 2 between 0.828 and 0.919. The interpretation models, taking ECa and ECe of 0-15 cm depth as independent variables, and ECe of each layer in 15-100 cm depth as dependent variables, were with higher R 2 between 0.930 and 0.953. The mean error (ME) showed that there was small positive deviation in 40-100 cm whereas a high positive deviation in the topsoil (0-40 cm). The scatter plots also indicated that the models had better accuracy of salinity estimation in the top soil layers (0-80 cm). The results provides solid basis for eco-restoring in the Yellow River delta.

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Spatial variation of soil carbon and nitrogen pools by using ordinary Kriging method in an area of north Nile Delta, Egypt

Cited by 106 publications

References 31 publications

Carbon Stocks of Coastal Wetland Ecosystems on Hainan Island, China

Carbon Stocks of Coastal Wetland Ecosystems on Hainan Island, China

Spatial and temporal variations of soil organic carbon and total nitrogen pools in the coastal reclamation area, eastern China

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

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