Vegetation Ecology Lab / 植群生態研究室

Institute of Ecology and Evolutionary Biology, National Taiwan University

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prospective_students [2018/01/28 14:33]
david
prospective_students [2018/09/13 00:54] (current)
david [What you can expect from me]
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 You can expect the open and friendly atmosphere in the lab, and opportunity for (hopefully) inspiring discussions related to different topics of vegetation ecology and doing science in general. I can help you to learn theoretical and practical background needed by vegetation ecologist, including field survey skills and data analysis. Please, expect that all communication (oral and written) will be in English. I understand that you may have difficulties in using English if it is not your mother language (it’s not mine neither), and I will be happy to help you with improving your English skills as long as you will be willing to work on yourself. You can expect the open and friendly atmosphere in the lab, and opportunity for (hopefully) inspiring discussions related to different topics of vegetation ecology and doing science in general. I can help you to learn theoretical and practical background needed by vegetation ecologist, including field survey skills and data analysis. Please, expect that all communication (oral and written) will be in English. I understand that you may have difficulties in using English if it is not your mother language (it’s not mine neither), and I will be happy to help you with improving your English skills as long as you will be willing to work on yourself.
  
 +===== Research philosophy =====
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 +I believe that to make research successful and enjoyable at the same time, the following things are overly important: a curiosity in discovering new things, good field and lab training, creating opportunities for fruitful discussion, open data policy, and transparent analytical procedure. Good ecologist should be able to combine field and lab approaches - it is important to touch nature in the field and collect good field data, but it is also important to process, analyze and interpret data correctly, and know how to present them.
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 +Considering numerical analysis, my belief is in methodological simplicity – although many fancy modern (and often complex) statistical methods exist, if the choice is to be done between more advanced method and simple or traditional one, both leading to results with similar interpretation,​ my choice would be to go for the simpler one, since more people will actually understand it. Also, transparent description of analysis and honest interpretation of their outcomes is a must. Although I often work with numbers, I think about ecology at the first place - all those numerical games are here to help us to understand and interpret what's going on in nature, not the other way around.