Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.sjbs.2017.01.009 |
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 | |
Adgaba, Nuru1; Alghamdi, Ahmed1; Sammoud, Rachid2; Shenkute, Awraris1; Tadesse, Yilma1; Ansari, Mahammad J.1; Sharma, Deepak1; Hepburn, Colleen3 | |
通讯作者 | Adgaba, Nuru |
会议名称 | 13th Conference of the Asian-Apicultural-Association (AAA) |
会议日期 | APR 24-26, 2016 |
会议地点 | Jeddah, SAUDI ARABIA |
英文摘要 | 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 x 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 (H') 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. (C) 2017 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. |
英文关键词 | Bee forage Plant inventory GIS Satellite image Flowering period Saudi Arabia |
来源出版物 | SAUDI JOURNAL OF BIOLOGICAL SCIENCES |
ISSN | 1319-562X |
出版年 | 2017 |
卷号 | 24 |
期号 | 5 |
页码 | 1038-1044 |
出版者 | ELSEVIER SCIENCE BV |
类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | Saudi Arabia;South Africa |
收录类别 | SCI-E ; CPCI-S |
WOS记录号 | WOS:000404566700013 |
WOS关键词 | APIS-MELLIFERA ; SAUDI-ARABIA ; LAND-COVER ; VEGETATION ; PHENOLOGY ; FOREST ; PLANT ; BIOMASS ; TREES ; SEGMENTATION |
WOS类目 | Biology |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/306003 |
作者单位 | 1.King Saud Univ, Coll Food & Agr Sci, Dept Plant Protect, Bee Res, POB 1460, Riyadh 11451, Saudi Arabia; 2.King Saud Univ, Coll Comp & Informat Sci, Riyadh, Saudi Arabia; 3.Rhodes Univ, Dept Zool, Grahamstown, South Africa |
推荐引用方式 GB/T 7714 | Adgaba, Nuru,Alghamdi, Ahmed,Sammoud, Rachid,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[C]:ELSEVIER SCIENCE BV,2017:1038-1044. |
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