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Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models
The northeastern part of Ethiopia, particularly Raya area is a pilgrimage site famed for its antique civilization, archaeological sites, and rural landscapes. Despite existing ecotourism potentials, the area has not been utilized for tourism for millennia. While previous work looked at the availabil...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294842/ http://dx.doi.org/10.1007/s41685-022-00248-5 |
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author | Deribew, Kiros Tsegay Mihretu, Yared Abreha, Girmay Gemeda, Dessalegn Obsi |
author_facet | Deribew, Kiros Tsegay Mihretu, Yared Abreha, Girmay Gemeda, Dessalegn Obsi |
author_sort | Deribew, Kiros Tsegay |
collection | PubMed |
description | The northeastern part of Ethiopia, particularly Raya area is a pilgrimage site famed for its antique civilization, archaeological sites, and rural landscapes. Despite existing ecotourism potentials, the area has not been utilized for tourism for millennia. While previous work looked at the availability of natural resources, it did not identify and prioritize the resources, so knowledge gaps continue to exist in prioritization of potential ecotourism sites. This study attempted to identify various ecotourism indicators, evaluate and produce maps of suitable ecotourism sites, and prioritize optimum protected areas that are best suited for sustainable ecotourism development of Raya areas. For this analysis, 13 spatial indicators from physical, environmental, archaeological, socio-cultural, and socioeconomic sectors were considered. Analytic Hierarchical Process (AHP) was used to calculate the details of the spatial indicators and class weights. The suitability maps were classified into four classes as Highly Suitable (S1), Moderately Suitable (S2), Marginally Suitable (N1), and Not Suitable (N2). The results revealed 114.37 Km(2) (10.33%), 13.36 Km(2) (1.91%), and 10.39 Km(2) (1.62%) fall under the highly suitable class in Blocks B, A and C, respectively. AHP weights with ultimate criterion and field observations also ranked lake Ashenge, Hugumburda, and Gratkhassu national forest priority areas as 1st, 2nd, and 3rd optimal zones, respectively. The outcomes of this study are crucial for conservation pioneer work in ecological development, and should be used as an ideal blueprint by ecotourism planners and decision-makers for sustainable ecotourism development strategies. |
format | Online Article Text |
id | pubmed-9294842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-92948422022-07-19 Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models Deribew, Kiros Tsegay Mihretu, Yared Abreha, Girmay Gemeda, Dessalegn Obsi Asia-Pac J Reg Sci Article The northeastern part of Ethiopia, particularly Raya area is a pilgrimage site famed for its antique civilization, archaeological sites, and rural landscapes. Despite existing ecotourism potentials, the area has not been utilized for tourism for millennia. While previous work looked at the availability of natural resources, it did not identify and prioritize the resources, so knowledge gaps continue to exist in prioritization of potential ecotourism sites. This study attempted to identify various ecotourism indicators, evaluate and produce maps of suitable ecotourism sites, and prioritize optimum protected areas that are best suited for sustainable ecotourism development of Raya areas. For this analysis, 13 spatial indicators from physical, environmental, archaeological, socio-cultural, and socioeconomic sectors were considered. Analytic Hierarchical Process (AHP) was used to calculate the details of the spatial indicators and class weights. The suitability maps were classified into four classes as Highly Suitable (S1), Moderately Suitable (S2), Marginally Suitable (N1), and Not Suitable (N2). The results revealed 114.37 Km(2) (10.33%), 13.36 Km(2) (1.91%), and 10.39 Km(2) (1.62%) fall under the highly suitable class in Blocks B, A and C, respectively. AHP weights with ultimate criterion and field observations also ranked lake Ashenge, Hugumburda, and Gratkhassu national forest priority areas as 1st, 2nd, and 3rd optimal zones, respectively. The outcomes of this study are crucial for conservation pioneer work in ecological development, and should be used as an ideal blueprint by ecotourism planners and decision-makers for sustainable ecotourism development strategies. Springer Nature Singapore 2022-07-18 2022 /pmc/articles/PMC9294842/ http://dx.doi.org/10.1007/s41685-022-00248-5 Text en © The Japan Section of the Regional Science Association International 2022, corrected publication 2022Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Deribew, Kiros Tsegay Mihretu, Yared Abreha, Girmay Gemeda, Dessalegn Obsi Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models |
title | Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models |
title_full | Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models |
title_fullStr | Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models |
title_full_unstemmed | Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models |
title_short | Spatial analysis of potential ecological sites in the northeastern parts of Ethiopia using multi-criteria decision-making models |
title_sort | spatial analysis of potential ecological sites in the northeastern parts of ethiopia using multi-criteria decision-making models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294842/ http://dx.doi.org/10.1007/s41685-022-00248-5 |
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