Skip to content
Research Article Open access CC BY 4.0

Geospatial Analysis of the Distribution of Mangrove Species along the Shoreline in Akwa Ibom State, Nigeria

Robert Etim Ekpenyong, Imoh Ukpong, Sola Olajide, Idongesit Etuk, Mbotidem Ebong, Edidiong Robert Etim

Journal of Geography, Environment and Earth Science International · pp. 1–22 · Published 31 Dec 2018

10.9734/JGEESI/2018/45953

Abstract

Mangrove forest is an ecosystem that offers many goods and services which can sustain mankind for eternity. Unfortunately, in Akwa Ibom State, this very important ecosystem is declining because of deforestation arising from over exploitation and development activities in the area. Aim: The aim of this study was to analyze the distribution of mangrove species along the shoreline in Akwa Ibom State using a geospatial approach. Methodology: Remote sensing, Global Positioning System and Geographical Information Systems techniques were used to determine, map and analyse the locations and distribution of mangrove forest in the area. Results: The results of the study revealed that most mature stands of the different mangrove species, mainly A. Africana and R. racemosa occur on the braided islands found within the Cross River estuary in Okobo Local Government Area and along the Kwa Iboe Creek in Eastern Obolo Local Government Area. Conclusion: This study has shown how to map and analyze mangrove at the species level using geospatial technologies. It revealed the actual locations of the two dominant species of mangrove found along the Nigerian shoreline in Akwa Ibom State. With this approach, it is possible to monitor and manage mangrove ecosystem for sustainable goods and service provision, poverty alleviation and climate change mitigation.

Geospatial mangrove species ecosystem goods and services remote sensing geographic information systems.

Cited by 2

Analysis of Morphometric Traits and Ecological Threats in Stubbs Creek Forest Reserve, Akwa Ibom State, Nigeria

Umana S. Umana, Uwem J. Ituen, Imoh E. Ukpong, Unwana S. Koffi · Journal of Geography, Environment and Earth Science International · 2023

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

47

Page views

0

PDF downloads

26

Outbound clicks

2

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.