UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK
Thailand's wild orchids, cherished for their beauty, face threats from habitat loss and over-collection. Urgent conservation is needed, with efforts including protected areas and sustainable practices. This study aims to model the distribution of wild orchids through the utilization of remote...
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| Format: | Article |
| Language: | English |
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Editura Universităţii din Oradea
2023-11-01
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| Series: | Geo Journal of Tourism and Geosites |
| Subjects: | |
| Online Access: | https://gtg.webhost.uoradea.ro/PDF/GTG-4-2023/gtg.50417-1135.pdf |
| _version_ | 1797341027117301760 |
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| author | Narueset PRASERTSRI Satith SANGPRADID |
| author_facet | Narueset PRASERTSRI Satith SANGPRADID |
| author_sort | Narueset PRASERTSRI |
| collection | DOAJ |
| description | Thailand's wild orchids, cherished for their beauty, face threats from habitat loss and over-collection. Urgent
conservation is needed, with efforts including protected areas and sustainable practices. This study aims to model the
distribution of wild orchids through the utilization of remote sensing and GIS techniques. The methodology involves
comprehensive surveys of wild orchid species within Phu Faek forest park. Spatial regression analysis explores intricate
relationships between wild orchid density and environmental factors such as NDWI, forest type, elevation, basin density, and
aspect. The results of field surveys identified 28 orchid species with diverse distribution patterns, including dominant species
like Aerides falcata Lindl. & Paxton, Aerides falcata Lindl., and Cleisostoma fuerstenbergianum F.Kranzl. The spatial
regression model revealed distribution patterns, with higher density in central and north regions. The NDWI indicator, which
reflects moisture content, provided additional insights into the distribution of orchids. |
| first_indexed | 2024-03-08T10:11:57Z |
| format | Article |
| id | doaj.art-a2df1d41d14d46f8981b7006ff3cd08d |
| institution | Directory Open Access Journal |
| issn | 2065-0817 |
| language | English |
| last_indexed | 2024-03-08T10:11:57Z |
| publishDate | 2023-11-01 |
| publisher | Editura Universităţii din Oradea |
| record_format | Article |
| series | Geo Journal of Tourism and Geosites |
| spelling | doaj.art-a2df1d41d14d46f8981b7006ff3cd08d2024-01-29T08:04:13ZengEditura Universităţii din OradeaGeo Journal of Tourism and Geosites2065-08172023-11-015041364137210.30892/gtg.50417-1135UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARKNarueset PRASERTSRI0Satith SANGPRADID1Department of Geoinformatics, Faculty of Informatics, Mahasarakham University, Maha Sarakham, Thailand, e-mail : naruset.p@msu.ac.thDepartment of Geoinformatics, Faculty of Informatics, Mahasarakham University, Maha Sarakham, Thailand, e-mail: satith.s@msu.ac.thThailand's wild orchids, cherished for their beauty, face threats from habitat loss and over-collection. Urgent conservation is needed, with efforts including protected areas and sustainable practices. This study aims to model the distribution of wild orchids through the utilization of remote sensing and GIS techniques. The methodology involves comprehensive surveys of wild orchid species within Phu Faek forest park. Spatial regression analysis explores intricate relationships between wild orchid density and environmental factors such as NDWI, forest type, elevation, basin density, and aspect. The results of field surveys identified 28 orchid species with diverse distribution patterns, including dominant species like Aerides falcata Lindl. & Paxton, Aerides falcata Lindl., and Cleisostoma fuerstenbergianum F.Kranzl. The spatial regression model revealed distribution patterns, with higher density in central and north regions. The NDWI indicator, which reflects moisture content, provided additional insights into the distribution of orchids.https://gtg.webhost.uoradea.ro/PDF/GTG-4-2023/gtg.50417-1135.pdfwild orchidsgeographic information system (gis)spatial regressionconservationenvironmental factorshabitat preferences |
| spellingShingle | Narueset PRASERTSRI Satith SANGPRADID UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK Geo Journal of Tourism and Geosites wild orchids geographic information system (gis) spatial regression conservation environmental factors habitat preferences |
| title | UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK |
| title_full | UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK |
| title_fullStr | UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK |
| title_full_unstemmed | UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK |
| title_short | UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK |
| title_sort | utilizing gis and remote sensing for modeling the spatial distribution of wild orchid species in phu faek forest park |
| topic | wild orchids geographic information system (gis) spatial regression conservation environmental factors habitat preferences |
| url | https://gtg.webhost.uoradea.ro/PDF/GTG-4-2023/gtg.50417-1135.pdf |
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