地景生態學文獻選讀1

115學年第1學期 選修課 1 學分
授課大綱
5
名額
1
已選
4
餘額
上課時間
二/B
授課教師
Office Hour:時間:二/1310-1500、四/1310-1500 地點:LS135
修課班級
生物博學程1,2 · 1年級以上
選課分析

課堂參與及討論 50 指定章節報告及作業
期末報告 50 期末報告

We need to better understand ecological complexity, as solution to many crucial environmental problems depends on it. In the context of modern global trade systems, human society has become so highly interconnected that nearly every component has the potential to influence others. As a result, the effects of human activities are now detectable almost everywhere, including regions traditionally regarded as wilderness. Furthermore, ecosystems cannot be understood or managed in isolation. Effective management of ecosystems and species in any given area requires an understanding of their position within the broader global environmental context. This challenge has become increasingly pressing, as environmental management is now often a race between conservation and exploitation. Modern computing technologies have equipped landscape ecology with a diverse set of tools, including geographic information systems (GIS) for analyzing landscapes, databases and data warehouses to for managing environmental information, and virtual reality for simulating environmental conditions. At the same time, advances in communication technologies have made these resources widely available online, such that “e-science” is now potentially accessible to users worldwide. The integration of landscape ecology with GIS and remote sensing is essential for understanding ecological complexity across multiple spatial and temporal scales.

1. Green, D.G., Klomp, N.I., Rimmington, G., Sadedin, S. (2020) Complexity in Landscape Ecology. Second edition. Springer, Springer Nature Switzerland.
2. 近年發表之重要期刊論文。

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