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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The Impacts of Environmental factors on the Population Dynamics of the Formosan landlocked salmon

Lee, Cheng-Chiang 13 June 2007 (has links)
The impacts that environmental factors brought to the population of the Formosan landlocked salmon are discussed in this paper and the evidence results indicate that the air temperature and typhoon have taken negative effect during past 15 years. Under the population simulations, without considering the environmental factors, it is clear that the population growth rate tends towards a steady state in the long run. On the contrary, the population would be in decline or suffer the extermination while we consider those factors.
2

Data oriented analysis techniques for the habitat evaluations in two National Parks

Lin, Kai-Wei 18 August 2008 (has links)
An ecosystem always involves some implicit relations between habitat environment and inhabitants, whose reciprocal links can not be identified easily. Three sets of ecological monitoring data were analyzed in this study, including coral reef, algae (Thalassia hemprichii Aschers) in Kenting National Park, and Formosan landlocked salmon (Oncorhynchus masou formosanus) in the basin of Chichiawan Stream. Two data-oriented analysis techniques, which are Habitat Evaluation Procedure (HEP) and Group Method of Data Handling (GMDH), were applied to retrieve the embedded patterns from these data sets. Eventually, for each data set, a forecasting model based on the technique of combined forecasting were developed, which is to integrate the results from HEP and GMDH, for improving the overall modeling precision. The results of this study show that the data-oriented analyses, such as HEP and GMDH, are useful for finding valid information from the ecological data. Furthermore, the combined forecasting technique can really improve the performance of model prediction even for the ecological research. In order to acquire the most important habitat environmental factors affecting the inhabitants, this study also performed sensitivity analysis of the models. The contributions of this study are to identify effective knowledge for future ecological research and to provide reasonable suggestions for formulating conservation strategy.

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