本研究由2015年5月至2016年4月於富源森林遊樂區由穿越線調查法與吊網誘集，共計調查到5科95屬148種蝴蝶，並發現88種不同蝴蝶種類的幼生期食草及42種成蟲蜜源植物。蝴蝶種類和數量於2015年10月和2016年4月達到高峰。物種群聚相似度分析中，主步道、環溪步道一、環溪步道二和環山步道4條調查樣線有60%相似度。潛在指標物種篩選出11種物種，分別為鳳蝶科的青鳳蝶，粉蝶科的緣點白粉蝶、異色尖粉蝶和黃蝶，灰蝶科的藍灰蝶，蛺蝶科的旖斑蝶、雙標紫斑蝶、枯葉蝶、密紋波眼蝶、森林暮眼蝶和藍紋鋸眼蝶。本研究透過詳盡調查及研究富源森林遊樂區內蝴蝶分布區域、出現月份和對植物利用之情況，將有助於管理單位對蝶類基礎資料的了解，並希望借由提供量化的多樣性指數數據、蝴蝶群聚組成分析和指標物種的篩選，有助於未來蝶類資源利用整體規劃與經營管理，亦可提升富源森林遊樂區之休憩、教育及保育功能。 In this project, A total of 148 species in 95 genera of butterflies were recorded in Fuyuan Forest Recreation Area from May 2015 to April 2016 by employing line transects and bait-trap nets. 88 larval host plants and 42 nectar plants for nectar were found in the study area. The diversity and abundance of butterfly species reached peaks in October 2015 and April 2016 respectively. In the analysis of community similarity, 4 lines (Main trail, Huanxi trail 1, Huanxi trail 2, and Huanshan trail) showed 60% similarity. 11 species were selected as potential indicator species, including Graphium sarpedon, Pieris canidia, Appias lyncida eleonora, Eurema hecabe, Zizeeria maha okinawana, Ideopsis similis, Euploea sylvester swinhoei, Kallima inachus, Ypthima multistriata, Melanitis phedima polishana, and Elymnias hypermnestra hainana. The present study provides basic information of butterflies in Fuyuan Forest Recreation Area via detailed investigation on of local distribution, months of occurrence, hostplant utilization. Besides, quantitative data of various diversity indices, analysis of butterfly communities and choice of indicator species provided in the present study may be useful for management and reasonable utilization of butterfly resources in the future. We believe the outcomes of the study may enhance the function on entertainment, education and conservation in Fuyuan Forest Recreation Area.
GBIF url: https://www.gbif.org/dataset/f6460062-1923-4a73-93af-c3d672ac7175
Citation: 徐堉峰, 梁家源, 沈玉婷 (2022). 富源森林遊樂區蝴蝶資源調查計畫 A Survey on Butterfly Resource in Fuyuan Forest Recreation Area. Version 1.3. Forestry and Nature Conservation Agency (FANCA). Occurrence dataset https://doi.org/10.15468/3mw8ck accessed via GBIF.org on 2024-04-29.