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Determining spatio-temporal distribution of bee forage species of al-Baha region based on ground inventorying supported with GIS applications and remote sensed satellite image analysis
المؤلفون المشاركون
Sharma, Deepak
al-Ghamidi, Ahmad
Adgaba, Nuru
Tadesse, Yilma
Ansari, Muhammad Javid
Sammoud, Rashid
Shenkute, Awraris
Hepburn, Colleen
المصدر
Saudi Journal of Biological Sciences
العدد
المجلد 24، العدد 5 (31 يوليو/تموز 2017)، ص ص. 1038-1044، 7ص.
الناشر
تاريخ النشر
2017-07-31
دولة النشر
السعودية
عدد الصفحات
7
التخصصات الرئيسية
الموضوعات
الملخص EN
In arid zones, the shortage of bee forage is critical and usually compels beekeepers to move their colonies in search of better forages.
Identifying and mapping the spatiotemporal distribution of the bee forages over given area is important for better management of bee colonies.
In this study honey bee plants in the target areas were inventoried following, ground inventory work supported with GIS applications.
The study was conducted on 85 large plots of 50 50 m each.
At each plot, data on species name, height, base diameter, crown height, crown diameter has been taken for each plant with their respective geographical positions.
The data were stored, and processed using Trimble GPS supported with ArcGIS10 software program.
The data were used to estimate the relative frequency, density, abundance and species diversity, species important value index and apicultural value of the species.
In addition, Remotely Sensed Satellite Image of the area was obtained and processed using Hopfield Artificial Neural Network techniques.
During the study, 182 species from 49 plant families were identified as bee forages of the target area.
From the total number of species; shrubs, herbs and trees were accounting for 61%, 27.67 %, and 11.53 % respectively.
Of which Ziziphus spina-christi, Acacia tortilis, Acacia origina, Acacia asak, Lavandula dentata, and Hypoestes forskaolii were the major nectar source plants of the area in their degree of importance.
The average vegetation cover values of the study areas were low (<30%) with low Shannon’s species diversity indices (H0) of 0.5–1.52 for different sites.
Based on the eco-climatological factors and the variations in their flowering period, these major bee forage species were found to form eight distinct spatiotemporal categories which allow beekeepers to migrate their colonies to exploit the resources at different seasons and place.
The Remote Sensed Satellite Image analysis confirmed the spatial distribution of the bee forage resources as determined by the ground inventory work.
An integrated approach, combining the ground inventory work with GIS and satellite image processing techniques could be an important tool for characterizing and mapping the available bee forage resources leading to their efficient and sustainable utilization.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Adgaba, Nuru& al-Ghamidi, Ahmad& Sammoud, Rashid& Shenkute, Awraris& Tadesse, Yilma& Ansari, Muhammad Javid…[et al.]. 2017. Determining spatio-temporal distribution of bee forage species of al-Baha region based on ground inventorying supported with GIS applications and remote sensed satellite image analysis. Saudi Journal of Biological Sciences،Vol. 24, no. 5, pp.1038-1044.
https://search.emarefa.net/detail/BIM-781970
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Adgaba, Nuru…[et al.]. Determining spatio-temporal distribution of bee forage species of al-Baha region based on ground inventorying supported with GIS applications and remote sensed satellite image analysis. Saudi Journal of Biological Sciences Vol. 24, no. 5 (Jul. 2017), pp.1038-1044.
https://search.emarefa.net/detail/BIM-781970
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Adgaba, Nuru& al-Ghamidi, Ahmad& Sammoud, Rashid& Shenkute, Awraris& Tadesse, Yilma& Ansari, Muhammad Javid…[et al.]. Determining spatio-temporal distribution of bee forage species of al-Baha region based on ground inventorying supported with GIS applications and remote sensed satellite image analysis. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 5, pp.1038-1044.
https://search.emarefa.net/detail/BIM-781970
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 1043-1044
رقم السجل
BIM-781970
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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