{"title":"UTILIZING GIS AND REMOTE SENSING FOR MODELING THE SPATIAL DISTRIBUTION OF WILD ORCHID SPECIES IN PHU FAEK FOREST PARK","authors":"Narueset Prasertsri, Satith Sangpradid","doi":"10.30892/gtg.50417-1135","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":38173,"journal":{"name":"Geojournal of Tourism and Geosites","volume":" 38","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geojournal of Tourism and Geosites","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30892/gtg.50417-1135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
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
期刊介绍：
GeoJournal of Tourism and Geosites is a scientific publication, with an international status. The Journal is issued under the aegis of the University of Oradea, Department of Geography, Tourism and Territorial Planning, Territorial Studies and Analysis Centre (Romania) and the Academy of Physical Education and Sports from Gdańsk, Faculty of Tourism and Recreation (Poland). At the initiative of an international group of specialists, based on an editorial and scientific committee with a wide international coverage, including leading figures in the field, in 2008 was published the first English issue of the GeoJournal of Tourism and Geosites. The printable format (2-3 issues per year) is supported by the on-line version. The journal aims to publish relevant contributions in tourism, geosites and other areas whose analysis is related to these fields, standing out through originality and scientific contribution to the knowledge and development of this area. An important objective is to promote academic and applied research based on interdisciplinarity with a complex local and global approach.
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