Spatial and seasonal assessment of physico-chemical characteristics of soil in Wadi El-Rayan lakes using GIS technique

Eid, Asmaa Nasser Mohamed; Olatubara, C.O.; Ewemoje, Temitayo Abayomi; El-Hennawy, Mohamed Talaat; Farouk, Haitham

doi:10.1007/s42452-020-03976-5

Cited by 7 publications

(3 citation statements)

References 33 publications

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“…The urban expansion and vegetation increase mainly occurred on expense of the bare lands along the coastal region. In general, human activity threatens biodiversity in at least five ways: the first is agricultural/industrial expansion, the second is overharvesting and logging of plant species, the third is pollution, the fourth is a significant driver of biodiversity loss, and the fifth is climate change, which exacerbates nature's loss (Eid et al, 2020). The class of moderate and dense vegetation was characterized by an expansion of agricultural fields along with urban sprawl and residential amenities.…”

Section: Monitoring Spatial and Environmental Changesmentioning

confidence: 99%

Environmental characterization and cartographic modeling of wild plant habitats at the northern coastal zone of Egypt

El-Zeiny,

Nour-Eldin,

Mohamed

et al. 2023

Front. Environ. Sci.

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Assessing natural vegetation through conventional methods faces considerable constraints, such as limited geographical scope, reduced precision, a lack of historical data, high expenses and time demands. The study aims to use environmental and spectral data to identify and map natural vegetation and plant species along the Mediterranean coast of Egypt. This involves employing spatial analyses and cartographic modeling techniques, marking an initial effort in this endeavor. To fulfill this aim, a total number of 70 wild plant habitats were surveyed and sampled for further laboratory identification of plant species. Multispectral and thermal bands of Landsat imagery were processed to generate land cover map, as well as calculate Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) to be integrated with the naturally grown plants in a cartographic model to predict the wild plant habitats. Coastal wild plant habitats were sparsely located and associated with a vegetation density ranging from 0.096 to 0.280 with an average of 0.167. Besides, the LST of these habitats fluctuated from 30.559 to 38.652 with an average of 34.361°C. Although the wild plant habitats at the Northern coastal region of Egypt are similar in environmental and climatic conditions, there are variability in NDVI and LST of each single habitat (pure or mixed). On the other hand, the lowest LST were associated with Erodium laciniatum/Rumex pictus and Erodium laciniatum habitats reporting 30.559 and 30.741°C, respectively. However, Lotus halophilus mixed with Ifloga spicata habitats reported the highest LST (38.652°C). The high vegetation density is mainly characterized by low LST which indicates the mixed wild plant habitats. The developed cartographic model showed a narrow strip along the Mediterranean region as highly suitable habitats for wild plant growth. The model can be used to map pure and mixed habitats of various wild plants with an accuracy exceeding 90%. The model was applied for mapping Arthrocnemum macrostachyum showing that the middle coastal region is most suitable for its growth. It’s recommended to integrate remotely sensed data with spatial analyses for the environmental analyses of natural plants. Present findings support researchers and scientists interested in environmental, botanic, and medical studies.

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Section: Monitoring Spatial and Environmental Changesmentioning

confidence: 99%

Environmental characterization and cartographic modeling of wild plant habitats at the northern coastal zone of Egypt

El-Zeiny,

Nour-Eldin,

Mohamed

et al. 2023

Front. Environ. Sci.

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“…Wise management of the environment requires a recognition of the dynamic of contemporary threats to ecosystems, including soils. Therefore, monitoring programmes have become standard [12][13][14], and their scale and scope vary in relation to the intensity of natural and anthropogenic transformation, society awareness and ecological policy [2,[15][16][17][18]. The results of monitoring studies support the sustainable management of soil resources and programmes for nature conservation, particularly in areas strongly exposed to unfavourable environmental conditions or substantially transformed by humans, as in the case of large-scale monoculture forests [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Geostatistical Tools to Assess Existing Monitoring Network of Forest Soils in a Mountainous National Park

Jezierski

Kabała

2021

Forests

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Environmental changes in national parks are generally subject to constant observation. A particular case is parks located in mountains, which are more vulnerable to climate change and the binding of pollutants in mountain ranges as orographic barriers. The effectiveness of forest soil monitoring networks based on a systematic grid with a predetermined density has not been analysed so far. This study’s analysis was conducted in the Stolowe Mountains National Park (SMNP), SW Poland, using total Pb concentration data obtained from an initial network of 403 circle plots with centroids arranged in a regular 400 × 400 m square grid. The number and distribution of monitoring plots were analysed using geostatistical tools in terms of the accuracy and correctness of soil parameters obtained from spatial distribution imaging. The analysis also aimed at reducing the number of monitoring plots taking into account the economic and logistic aspects of the monitoring investigations in order to improve sampling efficiency in subsequent studies in the SMNP. The concept of the evaluation and modification of the monitoring network presented in this paper is an original solution and included first the reduction and then the extension of plot numbers. Two variants of reduced monitoring networks, constructed using the proposed procedure, allowed us to develop the correct geostatistical models, which were characterised by a slightly worse mean standardised error (MSE) and root mean squared error (RMSE) compared to errors from the original, regular monitoring network. Based on the new geostatistical models, the prediction of Pb concentration in soils in the reduced grids changed the spatial proportions of areas in different pollution classes to a limited extent compared to the original network.

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“…NDWI is also widely used in determining the density of crops, which shows the amount of active photosynthetic biomass [6,8,9]. In practice, the processing of digital data and images from satellites provides tools for data analysis through mathematical indices and algorithms [10]. Remote satellite sensors provide digital and graphical data for monitoring of cultivation areas use and changes in the vegetation cover of these areas in approximately real-time at different scales [11,12].…”

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confidence: 99%

Normalized Differential Vegetation Index of Winter Wheat Depending on the Rates of Nitrogen Fertilizer and Nitrification Inhibitor

Muntyan,

Shatkovskyi,

Semenko

2023

LRaWM

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The article presents the results of experimental studies of the relationship between the normalized differential vegetation index and the yield of winter wheat at different rates of nitrogen fertilizers and the nitrification inhibitor 3,4-dimethylpyrazole phosphate with сarbamide-ammonia mixture (CAM-32). Field research was carried out in 2018-2021 in the research department of the Limited Liability Agricultural Company (LLAC) "Druzhba Nova" of the Varvyn district of the Chernihiv region (department of the «Kernel» agricultural holding). Analytical and mathematical and statistical methods were used to process experimental data. The normalized differential vegetation index (NDWI) was determined from the satellite images of WorldView-2, WorldView-3, Geoeye-1 (Maxar USA). The scheme of the one-factor field experiment was the use of options with different rates of nitrogen fertilizers (N100 and N120), as well as the use of the nitrification inhibitor 3,4-dimethylpyrazole phosphate in mixture to CAM-32. The control (backgroung) option was the application of fertilizers at the rate of N10P30K40. The results of experimental studies proved that NDWI is directly correlated with the yield of winter wheat for all 4 years of research. It was established that the NDWI, on average over three summer months, was higher in 2018 in the range of 0,56-0,67 and in 2020 – 0,53-0,66. The yield of winter wheat was also higher in 2018 and 2020, namely: in 2018 from 3,72 t/ha to 8,14 t/ha and in 2020 – from 3,77 t/ha to 7,25 t/ha. The NDWI, in 2019 and 2021, averaged over three summer months according to the experiment options was lower and amounted to 0,33-0,38 in 2019, and 0,30-0,33 in 2021. This trend correlates with winter wheat yields, which were also low during this period. So, in 2019 it was 3,63 t/ha – 5,10 t/ha and in 2021 – 3,83–4,81 t/ha. The correlation coefficient between NDWI and the yield of winter wheat was high: in July and August, it was from 0,93 to 0,97 on the options with nitrogen fertilizer rates N100 and N120.

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Spatial and seasonal assessment of physico-chemical characteristics of soil in Wadi El-Rayan lakes using GIS technique

Cited by 7 publications

References 33 publications

Environmental characterization and cartographic modeling of wild plant habitats at the northern coastal zone of Egypt

Environmental characterization and cartographic modeling of wild plant habitats at the northern coastal zone of Egypt

Geostatistical Tools to Assess Existing Monitoring Network of Forest Soils in a Mountainous National Park

Normalized Differential Vegetation Index of Winter Wheat Depending on the Rates of Nitrogen Fertilizer and Nitrification Inhibitor

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