Literature DB >> 32248297

Ecological types and bioindicator macrophyte species of pollution of riparian vegetation of Oued Lârbaa in Taza City of Morocco.

Nezha Mherzi1, Fatima Lamchouri2, Abdelmajid Khabbach1, Mohamed Boulfia1, Abdelouahab Zalaghi1, Hamid Toufik1.   

Abstract

The object of our study is devoted to the Spermatophyta of the wetlands of Oued Lârbaa, the main river of the city of Taza, Morocco, and which is under strong anthropic pressure. Our work involved a floristic inventory, to define ecological types and groups of dominant plants in relation to seasonal factors and types of pollution, explaining the meaning of their presence. For this purpose, floristic sampling was carried out along the Oued during the dry periods (2017 and 2018) and the wet period (2018). A total of 66 plant species belonging to 54 genera and 30 families were identified, including 44 species during the wet period (2018) and 27 species during the dry periods (2017 and 2018). This difference is due to the favorable conditions for vegetation development during the period of precipitation and to the increase in pollution rates during the dry season. The inventoried flora shows the dominance of 10 ecological types characterized by the following plants: Cynodon dactylon, Arundo donax, Olea europaea, and Tamarix gallica (common between the two periods); Dittrichia viscosa, Visnaga daucoides, Typha angustifolia, and Ricinus communis (during the dry periods of 2017 and 2018); and Juncus maritimus and Populus nigra (during the wet period of 2018). The ecological types identified in this work decrease from the dry season to the rainy season, while specific richness increases. These dominant plants are all considered as bioindicators of the presence of heavy metals.

Entities:  

Keywords:  Ecological types; Heavy metals; Moroccan wetlands; Pollution; Seasonal factors; Spermatophyta

Mesh:

Substances:

Year:  2020        PMID: 32248297     DOI: 10.1007/s10661-020-8205-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  9 in total

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Journal:  Ecotoxicol Environ Saf       Date:  1999-05       Impact factor: 6.291

2.  Estimating the size of the world's threatened flora.

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Journal:  Science       Date:  2002-11-01       Impact factor: 47.728

Review 3.  Plant phenotypic plasticity in a changing climate.

Authors:  A B Nicotra; O K Atkin; S P Bonser; A M Davidson; E J Finnegan; U Mathesius; P Poot; M D Purugganan; C L Richards; F Valladares; M van Kleunen
Journal:  Trends Plant Sci       Date:  2010-10-21       Impact factor: 18.313

4.  Sensitivity of submersed freshwater macrophytes and endpoints in laboratory toxicity tests.

Authors:  Gertie H P Arts; J Dick M Belgers; Conny H Hoekzema; Jac T N M Thissen
Journal:  Environ Pollut       Date:  2007-09-10       Impact factor: 8.071

5.  Influence of soil properties on trace element availability and plant accumulation in a Mediterranean salt marsh polluted by mining wastes: implications for phytomanagement.

Authors:  H M Conesa; A María-Cervantes; J Alvarez-Rogel; M N González-Alcaraz
Journal:  Sci Total Environ       Date:  2011-08-17       Impact factor: 7.963

6.  Arundo donax as a potential biomonitor of trace element contamination in water and sediment.

Authors:  Giuseppe Bonanno
Journal:  Ecotoxicol Environ Saf       Date:  2012-02-25       Impact factor: 6.291

7.  Strategies for Cd accumulation in Dittrichia viscosa (L.) Greuter: role of the cell wall, non-protein thiols and organic acids.

Authors:  R Fernández; D Fernández-Fuego; A Bertrand; A González
Journal:  Plant Physiol Biochem       Date:  2014-03-03       Impact factor: 4.270

8.  Bioaccumulation of heavy metals by submerged macrophytes: looking for hyperaccumulators in eutrophic lakes.

Authors:  Wei Xing; Haoping Wu; Beibei Hao; Wenmin Huang; Guihua Liu
Journal:  Environ Sci Technol       Date:  2013-04-26       Impact factor: 9.028

9.  Typha latifolia (broadleaf cattail) as bioindicator of different types of pollution in aquatic ecosystems-application of self-organizing feature map (neural network).

Authors:  Agnieszka Klink; Ludmiła Polechońska; Aurelia Cegłowska; Andrzej Stankiewicz
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-05       Impact factor: 4.223

  9 in total

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