Environmental sensitivity index mapping of Lagos shorelines View Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000696</doi_batch_id><timestamp>1714062669</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 3</title></titles><publication_date><month>09</month><year>2024</year></publication_date><journal_volume><volume>13</volume></journal_volume><issue>3</issue></journal_issue><journal_article><titles><title>Environmental sensitivity index mapping of Lagos shorelines </title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p>Environmental Sensitivity Index (ESI) mapping of Atlas Cove, Lagos, Nigeria was carried out with the objective of producing an Environmental Analysis Index map of the shorelines. The study integrated methodologies developed by National Oceanic and Atmospheric Administration (NOAA) and Nigerian Oil Producing Trade Sector (OPTS) for the study. The result of the assessment was validated by comparison with the ESI standads in Nigeria. 9 ESI types were found in the area namely; ESI types 1b, 2a, 2b 3a, 4a, 6b, 9b, 9c, and 10a. Animal biodiversities such as shorebirds (Tringaly poleucos and Charadrinning marginatus), sea turtles (Dermocellys spp) and white crabs (Occipoda africana) were more prominent on the western shores. Spearman’s Correlation coefficient (r) value of -0.6 was obtained for the association between number of socioeconomic features and biological species along the shores. This shows that a cause and effect exists between biological productivity and anthropogenic activities along the shorelines. The study ranked Mangrove swamps, creeks and fresh water swamp highest with ESI values of 10a. Margalef’s index also shows that the same areas are the most sensitive with respect to species richness. The database developed from the study provides baseline information on the biophysical and socio-cultural condition of the environment and can serve as good decision support system for coastal managers. </p></abstract><publication_date><month>04</month><day>30</day><year>2013</year></publication_date><pages><first_page>277</first_page><last_page>287</last_page></pages><publisher_item><identifier id_type="pii">565</identifier></publisher_item><doi_data><doi>10.30955/gnj.000565</doi><timestamp>1714062669</timestamp><resource>https://journal.gnest.org/publication/565</resource></doi_data></journal_article></journal></body></doi_batch> </div>
