Literature DB >> 32076844

Mangrove health along the hyper-arid southern Red Sea coast of Saudi Arabia.

Muhammad Arshad1, Ebrahem M Eid2,3, Mudassir Hasan4.   

Abstract

Changes in land use and land cover have severely influenced the sustainability of mangrove vegetation, especially in the hyper-arid, hyper-saline Red Sea coastal waters of Saudi Arabia. The present study investigates the effect of effluents released from an adjoining shrimp farm on the sustainability of a nearby mangrove woodland during operation and after closure of the farm. In addition, the consequences of dredging activities to fill coastal waters for land reclamation to develop a mega seaport at Jazan Economic City are explored. A band image-difference algorithm was applied to Landsat 5 Thematic Mapper and Landsat 08 Operational Land Imager satellite images obtained on different dates, which revealed a prominent vigour boom in the mangrove forest while the shrimp farm operated but a gradual decrease in vigour after its closure. During the investigation time frame of 2016 and 2017, spectral vegetation analysis of Sentinel-2A satellite images highlighted a strong negative correlation between dredging operations for seaport construction and the adjacent fragile mangrove forest. Dredging operations were responsible for a reduction of 19.30% in the Normalized Difference Vegetation Index, 27.5% in the Leaf Area Index, and 19.0% in the Optimized Soil Adjusted Vegetation Index. The results clearly show the potential application of spectral vegetation indices in the monitoring and analysis of anthropogenic impacts on coastal vegetation. We suggest strong management efforts for monitoring, assessing, and regulating measures to offset the negative trends in the sustainability of mangroves in Red Sea coastal regions.

Entities:  

Keywords:  Coastal wetlands; Dredging; Ecosystems; Mangrove forests; Multispectral; Remote sensing; Water pollution

Mesh:

Year:  2020        PMID: 32076844     DOI: 10.1007/s10661-020-8140-6

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


  11 in total

1.  Platform of integrated tools to support environmental studies and management of dredging activities.

Authors:  Alessandra Feola; Iolanda Lisi; Andrea Salmeri; Francesco Venti; Andrea Pedroncini; Massimo Gabellini; Elena Romano
Journal:  J Environ Manage       Date:  2015-10-30       Impact factor: 6.789

2.  Assessment of MODIS-EVI, MODIS-NDVI and VEGETATION-NDVI composite data using agricultural measurements: an example at corn fields in western Mexico.

Authors:  Pei-Yu Chen; Gunar Fedosejevs; Mario Tiscareño-López; Jeffrey G Arnold
Journal:  Environ Monit Assess       Date:  2005-12-17       Impact factor: 2.513

3.  Using the satellite-derived NDVI to assess ecological responses to environmental change.

Authors:  Nathalie Pettorelli; Jon Olav Vik; Atle Mysterud; Jean-Michel Gaillard; Compton J Tucker; Nils Chr Stenseth
Journal:  Trends Ecol Evol       Date:  2005-06-09       Impact factor: 17.712

4.  A world without mangroves?

Authors:  N C Duke; J-O Meynecke; S Dittmann; A M Ellison; K Anger; U Berger; S Cannicci; K Diele; K C Ewel; C D Field; N Koedam; S Y Lee; C Marchand; I Nordhaus; F Dahdouh-Guebas
Journal:  Science       Date:  2007-07-06       Impact factor: 47.728

5.  Monitoring mangrove forests after aquaculture abandonment using time series of very high spatial resolution satellite images: A case study from the Perancak estuary, Bali, Indonesia.

Authors:  Christophe Proisy; Gaëlle Viennois; Frida Sidik; Ariani Andayani; James Anthony Enright; Stéphane Guitet; Niken Gusmawati; Hugues Lemonnier; Gowrappan Muthusankar; Adewole Olagoke; Juliana Prosperi; Rinny Rahmania; Anaïs Ricout; Benoit Soulard
Journal:  Mar Pollut Bull       Date:  2017-06-24       Impact factor: 5.553

Review 6.  The blue dimensions of aquaculture: A global synthesis.

Authors:  Nesar Ahmed; Shirley Thompson
Journal:  Sci Total Environ       Date:  2018-10-12       Impact factor: 7.963

7.  An assessment of commonly employed satellite-based remote sensors for mapping mangrove species in Mexico using an NDVI-based classification scheme.

Authors:  L Valderrama-Landeros; F Flores-de-Santiago; J M Kovacs; F Flores-Verdugo
Journal:  Environ Monit Assess       Date:  2017-12-14       Impact factor: 2.513

8.  Spatial coverage of mangrove communities in the Arabian Gulf.

Authors:  Hanan Almahasheer
Journal:  Environ Monit Assess       Date:  2018-01-18       Impact factor: 2.513

9.  Using time-series Sentinel-1 data for soil prediction on invaded coastal wetlands.

Authors:  Ren-Min Yang; Wen-Wen Guo
Journal:  Environ Monit Assess       Date:  2019-06-25       Impact factor: 2.513

10.  Low Carbon sink capacity of Red Sea mangroves.

Authors:  Hanan Almahasheer; Oscar Serrano; Carlos M Duarte; Ariane Arias-Ortiz; Pere Masque; Xabier Irigoien
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

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  3 in total

Review 1.  Exploring the Mangrove Fruit: From the Phytochemicals to Functional Food Development and the Current Progress in the Middle East.

Authors:  Fitri Budiyanto; Eman A Alhomaidi; Afrah E Mohammed; Mohamed A Ghandourah; Hajer S Alorfi; Nahed O Bawakid; Wailed M Alarif
Journal:  Mar Drugs       Date:  2022-04-28       Impact factor: 6.085

2.  Insights Into the Cultivable Bacterial Fraction of Sediments From the Red Sea Mangroves and Physiological, Chemotaxonomic, and Genomic Characterization of Mangrovibacillus cuniculi gen. nov., sp. nov., a Novel Member of the Bacillaceae Family.

Authors:  Fatmah O Sefrji; Ramona Marasco; Grégoire Michoud; Kholoud A Seferji; Giuseppe Merlino; Daniele Daffonchio
Journal:  Front Microbiol       Date:  2022-02-18       Impact factor: 5.640

3.  Mangrovivirga cuniculi gen. nov., sp. nov., a moderately halophilic bacterium isolated from bioturbated Red Sea mangrove sediment, and proposal of the novel family Mangrovivirgaceae fam. nov.

Authors:  Fatmah O Sefrji; Grégoire Michoud; Ramona Marasco; Giuseppe Merlino; Daniele Daffonchio
Journal:  Int J Syst Evol Microbiol       Date:  2021-07       Impact factor: 2.747

  3 in total

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