Integration of remote sensing and GIS in studying vegetation trends and conditions in the gum arabic belt in North Kordofan, Sudan

The gum arabic belt in Sudan plays a significant role in environmental, social and economical aspects. The belt has suffered from deforestation and degradation due to natural hazards and human activities. This research was conducted in North Kordofan State, which is affected by modifications in conditions and composition of vegetation cover trends in the gum arabic belt as in the rest of the Sahelian Sudan zone. The application of remote sensing, geographical information system and satellites imageries with multi-temporal and spatial analysis of land use land cover provides the land managers with current and improved data for the purposes of effective management of natural resources in the gum arabic belt. This research investigated the possibility of identification, monitoring and mapping of the land use land cover changes and dynamics in the gum arabic belt during the last 35 years. Also a newly approach of object-based classification was applied for image classification. Additionally, the study elaborated the integration of conventional forest inventory with satellite imagery for Acacia senegal stands. The study used imageries from different satellites (Landsat and ASTER) and multi-temporal dates (MSS 1972, TM 1985, ETM+ 1999 and ASTER 2007) acquired in dry season (November). The imageries were geo-referenced and radiometrically corrected by using ENVI-FLAASH software. Image classification (pixel-based and object-based), post-classification change detection, 2x2 and 3x3 pixel windows and accuracy assessment were applied. A total of 47 field samples were inventoried for Acacia senegal tree’s variables in Elhemmaria forest. Three areas were selected and distributed along the gum arabic belt. Regression method analysis was applied to study the relationship between forest attributes and the ASTER imagery. Application of multi-temporal remote sensing data in gum arabic belt demonstrated successfully the identification and mapping of land use land cover into five main classes. Also NDVI categorisation provided a consistent method for land use land cover stratification and mapping. Forest dominated by Acacia senegal class was separated covering an area of 21% and 24% in the year 2007 for areas A and B, respectively. The land use land cover structure in the gum arabic belt has obvious changes and reciprocal conversions between the classes indicating the trends and conditions caused by the human interventions as well as ecological impacts on Acacia senegal trees. The study revealed a drastic loss of Acacia senegal cover by 25% during the period of 1972 to 2007.The results of the study revealed to a significant correlation (p ≤ 0.05) between the ASTER bands (VNIR) and vegetation indices (NDVI, SAVI, RVI) with stand density, volume, crown area and basal area of Acacia senegal trees. The derived 2x2 and 3x3 pixel windows methods successfully extracted the spectral reflectance of Acacia senegal trees from ASTER imagery. Four equations were developed and could be widely used and applied for monitoring the stand density, volume, basal area and crown area of Acacia senegal trees in the gum arabic belt considering the similarity between the selected areas. The pixel-based approach performed slightly better than the object-based approach in land use land cover classification in the gum arabic belt. The study come out with some valuable recommendations and comments which could contribute positively in using remotely sensed imagery and GIS techniques to explore management tools of Acacia senegal stands in order to maintain the tree component in the farming and the land use systems in the gum arabic belt

Assesment of Vegetation Cover Status in Dry Lands of The Sudan Using Social and Terrestrial Data

The current study was conducted in 2015 in Bara Locality, North Kordofan, Sudan. The study area has experienced recurrent drought spells since 1970s of the past century. The main objective of this study was to assess and map the vegetation cover in the area using social, terrestrial and remotely sensed data. To accomplish the above mentioned objective, the study was based on qualitative and quantitative data. In qualitative data, household survey was conducted in which 100 respondents were randomly interviewed. Quantitative data was collected using terrestrial inventory and satellite imageries. In terrestrial inventory, 22 ground control points (GCPs) were randomly registered using GPS in order to get general overview of the land cover of the study area. In each GCP, tree species by number was inventoried within an area of 1 ha. Remote sensing data, covering the target study area, were acquainted using LANDSAT5 imageries (2014) with spatial resolution of 30×30 m. Results of the household survey revealed that only 13 shrub/tree species mentioned by 45% of the respondents, while only 9 woody species were identified, belonging to 8 families from terrestrial inventory. The results of the household survey, 45% of the respondents, indicated that vegetation cover was very good 20 years ago. The study categorized the present land cover as woody vegetation (19%), Acacia senegal stands (5%), shrubs i.e. Leptadenia pyrotechnica and Acacia nubica (18%), small scale farms and grasses (19%) and sandy soil and dunes (39%). The results of the land cover distribution indicated that vegetation cover decreased by 24% while sand/sand dunes was increased by 21% from 1985 to 2015. The study concluded that the study area is under threat of land degradation that may lead to depletion of vegetation cover and decline land productivity. Pengukuran Status Penutupan Vegetasi di Lahan Kering Sudan Menggunakan Data Sosial dan TerestrialIntisariPenelitian ini dilakukan pada tahun 2015 di Lokalitas Bara, Kordofan Utara, Sudan. Lokasi penelitian telah mengalami masa kekeringan yang berulang sejak dekade 1970-an. Tujuan utama dari penelitian ini adalah untuk menilai dan memetakan tutupan vegetasi di lokasi penelitian dengan menggunakan data sosial, terestrial, dan penginderaan jauh. Untuk mencapai tujuan dimaksud, penelitian ini menggunakan data kualitatif dan kuantitatif. Untuk data kualitatif, survei rumah tangga dengan wawancara terhadap 100 responden yang dipilih secara acak. Data kuantitatif dikumpulkan dengan menggunakan inventarisasi terestrial dan satelit citra. Untuk inventarisasi terestrial, 22 titik kontrol (GCP) didaftar secara acak dengan menggunakan GPS untuk mendapatkan gambaran umum dari tutupan lahan daerah penelitian. Pada setiap GCP, jumlah spesies pohon diinventarisasi dalam area 1 ha. Data penginderaan jauh yang mencakup wilayah studi diambil dengan citra LANDSAT5 (2014) dengan resolusi spasial 30 × 30 m. Hasil survei rumah tangga menunjukkan bahwa hanya 13 jenis semak/pohon yang disebutkan oleh 45% responden, sementara hanya 9 spesies kayu yang terindentifikasi, milik 8 keluarga dari inventarisasi terestrial. Berdasarkan hasil survei rumah tangga, 45% dari responden menyatakan bahwa tutupan vegetasi yang sangat baik 20 tahun yang lalu. Penelitian ini mengelompokkan tutupan lahan saat ini ke dalam vegetasi berkayu (19%), tegakan Acacia senegal (5%), semak yaitu Leptadenia pyrotechnica dan Acacia nubica (18%), pertanian skala kecil dan rerumputan (19%), dan tanah dan bukit pasir (39%). Hasil dari distribusi tutupan lahan menunjukkan bahwa tutupan vegetasi mengalami penurunan sebesar 24%, sedangkan proporsi pasir/bukit pasir meningkat 21% dari 1985 ke 2015. Penelitian ini menyimpulkan bahwa daerah penelitian berada di bawah ancaman degradasi lahan yang dapat menyebabkan penipisan vegetasi tutupan dan menurunkan produktivitas lahan

Evaluation of Guiera senegalenses on Prevention of Type 2 Diabetes Among Sudanese Adult Patients

Guiera senegalensis (GS) reflects the reduced glucose exposure of erythrocytes over a preceding time frame proportional to erythrocyte survival. GS is thus an anti-diabetic function of the glucose-time curve, an educationally useful concept to aid teaching and clinical judgment. Sixty-one newly diagnosed patients with an average age of 48.2 years and a weight of 64.9 kg have participated in the study. Participants were significantly different in their educational, socioeconomic levels, and most of them have no family history of diabetes. To evaluate the hypoglycemic effect of GS, the patients were divided into four groups (G1, G2, G3, and G4) and treated with four different doses of the aqueous extract of the herb ( 0.5, 1, 1.5 and 2 Oz of GS boiled for 10 minutes in 0.5-liter water). The experiment has lasted for five days for each group, and the blood glucose level of the patients was checked using GOD–POD method, at fasting (FBS), and following two hours after the breakfast (RBS). Another group of 30 patients (control) received Douniel drug (5mg/day/person) instead of the GS herb extract and checked for glucose level with the same procedure mentioned above. The results revealed that blood glucose level (mg/dl) for all patients lowered by 9% after every 24 hours of the treatment and by 35% at the end of the treatment. The average fasting and random blood glucose levels were significantly (P<0.001) reduced from 326.21 and 322.95 mg/dl at the start of the treatment to 213.57 and 202.87 mg/dl sequentially at the end of the treatment. The herb significantly (P<0.001) reduced the blood glucose levels, however, with negligible side effects (vomiting on two patients of group G4). Similar hypoglycemic effects on random blood sugar for both the herb extract and Daniel drugs noticed. However, the average fasting blood glucose level of patients treated with herb extract (266.21 mg/dl) was significantly (P<0.001) lower than that of patients treated with the Daniel drug (280.47 mg/dl). Accordingly, the action of this herb may be similar to that of Douniel drug. However, it might have more prolonged action than Douniel. The study strongly recommends GS as a potential herb for the treatment of type II diabetes

Screening of some sorghum genotypes for resistance to sorghum midge, Stenodiplosis (= Contarinia) sorghicola Coqillet (diptera: Cecidomyiidae) under gedarif rainfed conditions

Preliminary experiments were conducted at Northern area, Gedarif State during seasons of 2002-03, 2006-07.Where as advanced trials during 2008/2009 to 2012/2013 at northern and Southern areas. The objective was to evaluate selected sorghum genotypes for sorghum midge resistance. A total of 3000 accessions were obtained from Gene Bank Resources. Resistant genotype, DJ 6514 (Resistant Check already released in 2007) was obtained from International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). Result showed that the midge damage rating was significantly different among genotypes. The midge damage rating scores ranged between, 1.3- 8.6; 1.1- 9.2; 1.4- 9.0; 1.1 – 9.4; and 1.2- 9.2 for all seasons (2008/09; 2009/10; 2010/11; 2011/12 and 2012/13). However, the lowest midge damage rating was recorded by DJ 6514 (Resistant check), followed by P₁ 570162 (Hag Abbakar); GBM 30 (Early Feterita); Wad Baco; and Safra (1.4; 1.5; 1.5, 1.6 and 1.7), respectively. Genotypes, P₁ 570162 (Hag Abbakar); GBM 30 (Early Feterita); Wad Baco; Safra and Harerai showed lowest % yield loss and performed similar to the resistant check (14.2; 14.5; 14.5; 17.0 and 17.3%), respectively. The combined analysis showed that a significant difference was observed between genotypes. The genotypes were significantly different in panicle types, compact and semi-compact headed genotypes showed lower % glumes coverage (1.3- 4.5%), while semi-compact headed genotypes ranged between 5.5 – 7.8%. Genotypes, Wad Baco; P₁ 570162 (Hag Abbakar); GBM 30 (Early Feterita); Safra; Wad Ahmed; Harerai and Wad Akar showed the shortest glumes coverage (1.3; 1.3; 1.5; 1.5; 1.6; 1.7 and 1.8 %). Compact headed genotypes recorded lowest midge density (6.5 adults/ 5 heads), while the semi-compact headed genotypes were recorded 15.7 adults/ 5 heads compared with others types of heads

Active fractions of methanol crude obtained from acacia seyal gum and their anti-proliferative effects against human breast cancer cell lines

Background: This study is on Acacia seyal gum, which is an exudate from Talha (Acacia seyal) tree. It provides a rich source of prebiotic that is used traditionally in folk medicine. Aims: The anti-proliferative effect (APE) of Acacia seyal gum (ASG) and Prebio-T-commercial (PTC) samples on human breast cancer (MCF-7) cell lines and their antioxidant activities (AA) were investigated. Methods: The methanol crude extracts of both Acacia seyal gum and Prebio-T-commercial were fractioned into acetone and methanol, respectively. The antiproliferative effect on human breast cancer cell lines for each fraction was examined using sulphorhodamine assay (SRB assay). Methanol crude extracts and their active compositions were analysed carefully using gas chromatography-mass spectrometry technique. Results: The most anti-proliferative effect was detected in the sample collected from Prebio-T-commercial (IC50=8.97µg/mL) as compared to Acacia seyal gum (IC50=9.56µg/mL). Regarding total phenolic content (TPC), the methanol crude extracts values are 694±2.58mg, GAE/100g for Prebio-T-commercial as compared to 155.78±2.58, GAE/100g for Acacia seyal gum. However, both acetone and methanol fractions of Acacia seyal gum and Prebio-T-commercial were found to be highly anti-proliferative to human breast cancer. For bioactive compounds determinations, the methanol crude extract from Acacia seyal gum is mainly dominated by Isovitamin C (42.37%), Crypton (5.86%), and Hydroquinone (4.86%) as major components. Conclusion: Finally, the antioxidant and anti-proliferative properties of the active fraction have shown some evidence regarding its use in traditional medicine as well as the prevention of cancer cell growth. This suggests the potential use of their bioactive compounds as natural anticancer agents

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Integration of remote sensing and GIS in studying vegetation trends and conditions in the gum arabic belt in North Kordofan, Sudan

The gum arabic belt in Sudan plays a significant role in environmental, social and economical aspects. The belt has suffered from deforestation and degradation due to natural hazards and human activities. This research was conducted in North Kordofan State, which is affected by modifications in conditions and composition of vegetation cover trends in the gum arabic belt as in the rest of the Sahelian Sudan zone. The application of remote sensing, geographical information system and satellites imageries with multi-temporal and spatial analysis of land use land cover provides the land managers with current and improved data for the purposes of effective management of natural resources in the gum arabic belt. This research investigated the possibility of identification, monitoring and mapping of the land use land cover changes and dynamics in the gum arabic belt during the last 35 years. Also a newly approach of object-based classification was applied for image classification. Additionally, the study elaborated the integration of conventional forest inventory with satellite imagery for Acacia senegal stands. The study used imageries from different satellites (Landsat and ASTER) and multi-temporal dates (MSS 1972, TM 1985, ETM+ 1999 and ASTER 2007) acquired in dry season (November). The imageries were geo-referenced and radiometrically corrected by using ENVI-FLAASH software. Image classification (pixel-based and object-based), post-classification change detection, 2x2 and 3x3 pixel windows and accuracy assessment were applied. A total of 47 field samples were inventoried for Acacia senegal tree’s variables in Elhemmaria forest. Three areas were selected and distributed along the gum arabic belt. Regression method analysis was applied to study the relationship between forest attributes and the ASTER imagery. Application of multi-temporal remote sensing data in gum arabic belt demonstrated successfully the identification and mapping of land use land cover into five main classes. Also NDVI categorisation provided a consistent method for land use land cover stratification and mapping. Forest dominated by Acacia senegal class was separated covering an area of 21% and 24% in the year 2007 for areas A and B, respectively. The land use land cover structure in the gum arabic belt has obvious changes and reciprocal conversions between the classes indicating the trends and conditions caused by the human interventions as well as ecological impacts on Acacia senegal trees. The study revealed a drastic loss of Acacia senegal cover by 25% during the period of 1972 to 2007.The results of the study revealed to a significant correlation (p ≤ 0.05) between the ASTER bands (VNIR) and vegetation indices (NDVI, SAVI, RVI) with stand density, volume, crown area and basal area of Acacia senegal trees. The derived 2x2 and 3x3 pixel windows methods successfully extracted the spectral reflectance of Acacia senegal trees from ASTER imagery. Four equations were developed and could be widely used and applied for monitoring the stand density, volume, basal area and crown area of Acacia senegal trees in the gum arabic belt considering the similarity between the selected areas. The pixel-based approach performed slightly better than the object-based approach in land use land cover classification in the gum arabic belt. The study come out with some valuable recommendations and comments which could contribute positively in using remotely sensed imagery and GIS techniques to explore management tools of Acacia senegal stands in order to maintain the tree component in the farming and the land use systems in the gum arabic belt

Integration of remote sensing and GIS in studying vegetation trends and conditions in the gum arabic belt in North Kordofan, Sudan

The gum arabic belt in Sudan plays a significant role in environmental, social and economical aspects. The belt has suffered from deforestation and degradation due to natural hazards and human activities. This research was conducted in North Kordofan State, which is affected by modifications in conditions and composition of vegetation cover trends in the gum arabic belt as in the rest of the Sahelian Sudan zone. The application of remote sensing, geographical information system and satellites imageries with multi-temporal and spatial analysis of land use land cover provides the land managers with current and improved data for the purposes of effective management of natural resources in the gum arabic belt. This research investigated the possibility of identification, monitoring and mapping of the land use land cover changes and dynamics in the gum arabic belt during the last 35 years. Also a newly approach of object-based classification was applied for image classification. Additionally, the study elaborated the integration of conventional forest inventory with satellite imagery for Acacia senegal stands. The study used imageries from different satellites (Landsat and ASTER) and multi-temporal dates (MSS 1972, TM 1985, ETM+ 1999 and ASTER 2007) acquired in dry season (November). The imageries were geo-referenced and radiometrically corrected by using ENVI-FLAASH software. Image classification (pixel-based and object-based), post-classification change detection, 2x2 and 3x3 pixel windows and accuracy assessment were applied. A total of 47 field samples were inventoried for Acacia senegal tree’s variables in Elhemmaria forest. Three areas were selected and distributed along the gum arabic belt. Regression method analysis was applied to study the relationship between forest attributes and the ASTER imagery. Application of multi-temporal remote sensing data in gum arabic belt demonstrated successfully the identification and mapping of land use land cover into five main classes. Also NDVI categorisation provided a consistent method for land use land cover stratification and mapping. Forest dominated by Acacia senegal class was separated covering an area of 21% and 24% in the year 2007 for areas A and B, respectively. The land use land cover structure in the gum arabic belt has obvious changes and reciprocal conversions between the classes indicating the trends and conditions caused by the human interventions as well as ecological impacts on Acacia senegal trees. The study revealed a drastic loss of Acacia senegal cover by 25% during the period of 1972 to 2007.The results of the study revealed to a significant correlation (p ≤ 0.05) between the ASTER bands (VNIR) and vegetation indices (NDVI, SAVI, RVI) with stand density, volume, crown area and basal area of Acacia senegal trees. The derived 2x2 and 3x3 pixel windows methods successfully extracted the spectral reflectance of Acacia senegal trees from ASTER imagery. Four equations were developed and could be widely used and applied for monitoring the stand density, volume, basal area and crown area of Acacia senegal trees in the gum arabic belt considering the similarity between the selected areas. The pixel-based approach performed slightly better than the object-based approach in land use land cover classification in the gum arabic belt. The study come out with some valuable recommendations and comments which could contribute positively in using remotely sensed imagery and GIS techniques to explore management tools of Acacia senegal stands in order to maintain the tree component in the farming and the land use systems in the gum arabic belt

Gum Arabic more than emulsifier and food additive: a new experimental validation of anti-proliferative against colorectal colon cancer cell lines

The aim of this paper is to discover the cytotoxicity activity of Acacia seyal gum and Prebio-Tcommercial (PTC) samples on human colon cancer (HCT-116) cell lines; in addition, its polyphenolic properties are investigated. Approach: The methodology used in this paper involves fractionating methanol crude extracts of both Acacia seyal gum and Prebio-T-commercial, respectively. The cytotoxicity activity on human colon cancer cell lines for each fraction was studied using sulforhodamine B assay (SRB assay). Both samples, Acacia seyal gum and Prebio-T-commercial (PTC), were analysed precisely using high performance liquid chromatography (HPLC) technique. Findings: Based on the analysis, more cytotoxicity activity was identified in the sample obtained from Acacia seyal gum (IC50=13.36µg/mL) compared to PTC (IC50=17.18µg/mL). Regarding the flavonoids content (FC), quercetin was the only flavonoids detected in the samples, found to be approximate of 4,640µg/100g for Acacia seyal gum, almost double the value of 2,560µg/100g for PTC. Implications: The implications of this study are the evidence of flavonoids content and anti-cancer activity for both Acacia seyal gum and PTC used in folk medicine, as well as anticipation of cancer cell growth. It is expected that the proposed methods will give a noble contribution to the possible use of their bioactive compounds as natural anti-cancer agents