Studies on the arthropod community in Shuilien coastal forest ecosystem of eastern Taiwan

碩士 === 國立中興大學 === 昆蟲學系 === 90 === The arthropod fauna at the understory of eight vegetation types of coastal forest ecosystem in Shuilien, eastern Taiwan were investigated from October, 2000 to September, 2001. Eight vegetation types include different succession stages, namely sand dunes vegetation...

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Bibliographic Details
Main Authors: Shih-chiang Kuo, 郭仕強
Other Authors: Jeng-Tze Yang
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/38425895826135894934
Description
Summary:碩士 === 國立中興大學 === 昆蟲學系 === 90 === The arthropod fauna at the understory of eight vegetation types of coastal forest ecosystem in Shuilien, eastern Taiwan were investigated from October, 2000 to September, 2001. Eight vegetation types include different succession stages, namely sand dunes vegetation (N2), cliff vegetation (N3), grassland and shrubland (N4 and N8), thorn forest (N5) and coastal forest (N6, N7 and N9). Arthropod fauna were studied by pitfall trap and net-sweeping. Microclimate (air temperature, relative humidity and light intensity) were also investigated. Totally, 4563 individuals belonging to 694 morphospecies, 118 families, 25 orders, 5 classes, were collected. The insect arthropods were 69.5% and non-insect arthropods were 30.5% . The investigated data and diversity index data of the eight plots were analyzed by using the program NTSYS-PC ver2.02. N2 and N4 plots, and N7and N8 plots were clustered together by the similar data of the whole arthropod fauna. Hymenoptera data are similar clustering pattern with the whole arthropod fauna. Local microclimate also affect the vegetation type, but the effects on whole arthropod fauna are not obvious. The coastal forest ecosystem is in the early stages of succession. It is an unstable ecosystem. The coastal arthropod fauna are affected not only by vegetation types, but also by the variation of environmental factor and microclimate. This data obtained in this study are useful for the modeling as well as the management of coastal forest ecosystem.