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Titlebook: Sabkha Ecosystems; Volume III: Africa a Münir ?ztürk,Benno B?er,Siegmar-W. Breckle Book 2011 Springer Science+Business Media B.V. 2011 Afri

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發(fā)表于 2025-3-21 16:07:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Sabkha Ecosystems
副標(biāo)題Volume III: Africa a
編輯Münir ?ztürk,Benno B?er,Siegmar-W. Breckle
視頻videohttp://file.papertrans.cn/861/860398/860398.mp4
概述Contains important information about the type of plants that are distributed in highly saline areas.Provides information about ecology and particularly edaphology of the sabkha system.Unique in coveri
叢書(shū)名稱Tasks for Vegetation Science
圖書(shū)封面Titlebook: Sabkha Ecosystems; Volume III: Africa a Münir ?ztürk,Benno B?er,Siegmar-W. Breckle Book 2011 Springer Science+Business Media B.V. 2011 Afri
描述This book is part of the Sabkha Ecosystems series. The series is designed to provide information on sabkha ecosystems of different regions. It will add to the collective knowledge available about saline ecosystems and also focuses on the African region where only limited information is currently available on.
出版日期Book 2011
關(guān)鍵詞Africa; Halophytes; Sabkha; Salinity; Water logging
版次1
doihttps://doi.org/10.1007/978-90-481-9673-9
isbn_softcover978-94-007-3449-4
isbn_ebook978-90-481-9673-9Series ISSN 0167-9406 Series E-ISSN 1875-130X
issn_series 0167-9406
copyrightSpringer Science+Business Media B.V. 2011
The information of publication is updating

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Book 2011This book is part of the Sabkha Ecosystems series. The series is designed to provide information on sabkha ecosystems of different regions. It will add to the collective knowledge available about saline ecosystems and also focuses on the African region where only limited information is currently available on.
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https://doi.org/10.1007/978-90-481-9673-9Africa; Halophytes; Sabkha; Salinity; Water logging
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Sabkha Ecosystems978-90-481-9673-9Series ISSN 0167-9406 Series E-ISSN 1875-130X
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Shahina A. Ghazanfar,Henk J. Beentjeent driving situations Electroencephalography (EEG) of the drivers has been studied intensely. However, in the literature, mostly, manual analytic methods are applied to extract and select features from the EEG signals to quantify drivers’ MWL. Nevertheless, the amount of time and effort required to
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