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ID 44055
FullText URL
Title Alternative
エジプト紅海沿岸のマングローブ林の林分構造
Author
Inoue, Masaki
Yoshimori, Ichidou
Nakashima, Atsushi
Teraminami, Tomohiro
Matsuo, Naoko
Banjo, Ryo
Miyamoto, Chiharu
Abstract
Established mangrove forests along the coastal area of the Arabian Peninsula and African side of the Red Sea are uniquely different from mangrove forests in other parts of the world because of their low biodiversity and harsh habitat of arid and highly saline conditions. Therefore mangrove forests in this area appear in patchy and scattered patterns at mouths of wadi or in sheltered lagoons with rare and irregular flooding. Most of them are pure forests of Avicennia marina, occasionally mixed with Rhizophora mucronata in the southern part of the Red Sea. In this study, we analyze the forest structure of A. marina and discuss the regeneration strategy and the forest dynamics of this unique mangrove species. Three experimental plots of 1000 to 2000 trees/ha were selected from north to south along the Red Sea coast. The highest tree size (6.8m) suggested severe effects of the high salinity of the Red Sea (3.2 to 4.9%) on tree growth. Dense mantle vegetation had developed at the forest edge facing the open sea to protect the forest interior against strong waves and wind. Tree growth was also prevented by severe drought on the landside edge of the forest. All the forests had a dense seedling bank throughout the forest floor, with a very high rate of turnover and regeneration, which seldom occurred in other forests.
Keywords
Gray mangrove (Avicennia marina)
the Red Sea
forest structure
seedling bank
Note
原著論文
Published Date
2011-02-01
Publication Title
岡山大学農学部学術報告
Publication Title Alternative
Scientific Reports of the Faculty of Agriculture Okayama University
Volume
volume100
Publisher
岡山大学農学部
Publisher Alternative
Faculty of Agriculture, Okayama University
Start Page
39
End Page
51
ISSN
0474-0254 
NCID
AN00033029
Content Type
Departmental Bulletin Paper
language
English
File Version
publisher
Refereed
False
Eprints Journal Name
srfa