Mapping groundwater dependent ecosystems in a semi-arid environment: a case study from the Nigerian Sudan Savannah.
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| Title: | Mapping groundwater dependent ecosystems in a semi-arid environment: a case study from the Nigerian Sudan Savannah. |
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| Authors: | Olanrewaju, Michael Timilehin1 (AUTHOR), Aladejana, Olabanji Odunayo2 (AUTHOR) olabanjialadejana@gmail.com |
| Source: | Earth Science Informatics. Jan2025, Vol. 18 Issue 1, p1-20. 20p. |
| Abstract: | Identifying Groundwater Dependent Ecosystems (GDEs), especially in arid and semi-arid regions with limited water resources, is essential to their conservation and management. This study develops a methodology to delineate Groundwater-Dependent Ecosystem Zones (GDEZ) within the Sudan-Savannah region of Nigeria. Remote sensing technology was integrated with geographic information system (GIS) modeling to generate maps delineating the GDEZ of the Sudan-Savannah region of Nigeria. Using a diverse array of remote sensing datasets and geospatial analysis, thirteen (13) parameters, including geology, geomorphology, land cover, hydrological, and climatic parameters, were analyzed and ranked. This was achieved through fuzzy logic modelling to delineate and analyze significant changes in GDEZ over four time periods: 2002, 2008, 2014, and 2022. Five GDEZ classes comprising “very low”, “low”, “moderate”, “high”, and “very high” dependence were delineated. Results show changes in GDEs within these classes as follows: from 2002 to 2008, changes of -24.10%, -10.14%, -1.63%, 5.67%, and 3.54% were observed for the very low, low, moderate, high, and very high zones, respectively. Between 2008 and 2014, changes of -45.29%, -27.80%, -4.01%, 23.34%, and 26.94% were recorded in these zones, and from 2014 to 2022, changes of -14.20%, -9.02%, -2.11%, 8.05%, and 5.30% were observed, respectively. The validation of the GDEZs map for the year 2022 achieved an ROC-AUC of 0.85, indicating strong model performance. While the observed changes in the lower and higher dependence zones suggest potential shifts in groundwater reliance, these fluctuations may reflect the complex interactions of various factors. The results underscore the need for further research to understand the specific drivers of these changes. This approach highlights the utility of remote sensing and GIS in mapping GDEZs and offers insights for water resource management and conservation, particularly in regions with limited groundwater availability. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 182088848 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mapping groundwater dependent ecosystems in a semi-arid environment: a case study from the Nigerian Sudan Savannah. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Olanrewaju%2C+Michael+Timilehin%22">Olanrewaju, Michael Timilehin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aladejana%2C+Olabanji+Odunayo%22">Aladejana, Olabanji Odunayo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> olabanjialadejana@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Earth+Science+Informatics%22">Earth Science Informatics</searchLink>. Jan2025, Vol. 18 Issue 1, p1-20. 20p. – Name: Abstract Label: Abstract Group: Ab Data: Identifying Groundwater Dependent Ecosystems (GDEs), especially in arid and semi-arid regions with limited water resources, is essential to their conservation and management. This study develops a methodology to delineate Groundwater-Dependent Ecosystem Zones (GDEZ) within the Sudan-Savannah region of Nigeria. Remote sensing technology was integrated with geographic information system (GIS) modeling to generate maps delineating the GDEZ of the Sudan-Savannah region of Nigeria. Using a diverse array of remote sensing datasets and geospatial analysis, thirteen (13) parameters, including geology, geomorphology, land cover, hydrological, and climatic parameters, were analyzed and ranked. This was achieved through fuzzy logic modelling to delineate and analyze significant changes in GDEZ over four time periods: 2002, 2008, 2014, and 2022. Five GDEZ classes comprising “very low”, “low”, “moderate”, “high”, and “very high” dependence were delineated. Results show changes in GDEs within these classes as follows: from 2002 to 2008, changes of -24.10%, -10.14%, -1.63%, 5.67%, and 3.54% were observed for the very low, low, moderate, high, and very high zones, respectively. Between 2008 and 2014, changes of -45.29%, -27.80%, -4.01%, 23.34%, and 26.94% were recorded in these zones, and from 2014 to 2022, changes of -14.20%, -9.02%, -2.11%, 8.05%, and 5.30% were observed, respectively. The validation of the GDEZs map for the year 2022 achieved an ROC-AUC of 0.85, indicating strong model performance. While the observed changes in the lower and higher dependence zones suggest potential shifts in groundwater reliance, these fluctuations may reflect the complex interactions of various factors. The results underscore the need for further research to understand the specific drivers of these changes. This approach highlights the utility of remote sensing and GIS in mapping GDEZs and offers insights for water resource management and conservation, particularly in regions with limited groundwater availability. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=182088848 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12145-024-01680-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Titles: – TitleFull: Mapping groundwater dependent ecosystems in a semi-arid environment: a case study from the Nigerian Sudan Savannah. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Olanrewaju, Michael Timilehin – PersonEntity: Name: NameFull: Aladejana, Olabanji Odunayo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18650473 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: Earth Science Informatics Type: main |
| ResultId | 1 |
