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原文連結
論文資訊
- 類型：已發表論文
- 日期：2005
摘要
Creative approaches at the interface of 生態學, statistics, mathematics, informatics, and 計算 science are essential for improving our understanding of complex ecological systems. For example, new 資訊 technologies, including powerful computers, spatially embedded sensor 網絡s, and Semantic Web tools, are emerging as potentially r演化ary tools for studying ecological phenomena. These technologies can play an important role in developing and testing detailed models that describe real-world systems at multiple scales. Key challenges include choosing the appropriate level of model complexity necessary for understanding 生物 patterns across space and time, and applying this understanding to solve problems in conservation biology and resource management.. Meeting these challenges requires novel 統計 and 數學 te
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