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Editorial: Frontiers in Ecology and Environment

机译:社论:生态与环境前沿

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摘要

Ecological research is certainly entering a new era of integration and collaboration, building on a firm base of advancements in our ecological knowledge achieved in recent years, as we meet the challenge of understanding the great complexity of biological systems. Ecological sub-disciplines are rapidly combining and incorporating other biological, physical, mathematical, and sociological disciplines. The burgeoning base of theoretical and empirical work, made possible by new methods, technologies, and funding opportunities, is providing the opportunity to reach robust answers to major ecological questions. The United States National Science Foundation (1999) convened a white paper committee to evaluate what we know and do not know about important ecological processes, what hurdles currently hamper our progress, and what intellectual and conceptual interfaces need to be encouraged. The committee distilled the discussion into four frontiers in research on the ecological structure of the earth's biological diversity and the ways in which ecological processes continuously shape that structure. Environmental scientists are also increasingly concemed not only with explaining the present, but with anticipating the future. An understanding of the past isvital to both concerns. Paleo-ecology is playing an increasingly prominent role in environmental forecasting. As an example, paleo-fire records could be used to test the mechanistic models required for the prediction of future variations in fire. This paper highlights the discussions of those frontiers and explains why they are crucial to our understanding.
机译:随着近年来我们在理解生物系统的高度复杂性方面面临的挑战,我们的生态知识将在坚实的基础上不断发展,生态学研究无疑正在进入整合与协作的新时代。生态学子学科正在迅速地整合其他生物学,物理,数学和社会学学科。通过新方法,新技术和新的融资机会,理论和经验工作的蓬勃发展基础为解决重大生态问题提供了有力的答案。美国国家科学基金会(1999)召集了一个白皮书委员会,以评估我们对重要生态过程的了解和不了解,当前阻碍我们前进的障碍以及需要鼓励哪些智力和概念上的联系。该委员会将讨论分为四个前沿,以研究地球生物多样性的生态结构以及生态过程不断塑造该结构的方式。环境科学家不仅越来越了解当前情况,而且越来越期待未来。对过去的了解对这两个问题都是至关重要的。古生态在环境预测中发挥着越来越重要的作用。例如,古火记录可用于测试预测未来火势变化所需的机械模型。本文重点介绍了这些领域的讨论,并解释了为什么它们对我们的理解至关重要。

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