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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Ecological food webs: High-quality data facilitate theoretical unification
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Ecological food webs: High-quality data facilitate theoretical unification

机译：生态食物网：高质量数据促进理论统一

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摘要

Despite the enormous diversity and complexity of ecological systems, when data for many individuals of many different species are analyzed, there are emergent regularities in the statistical distributions of numerical abundance, spatial dispersion, trophic relations, and species richness, and in bivariate and multivariate relationships among these variables (e.g., refs. 1―3). These empirical macroeco-logical patterns have been known for many decades, but now ecology is beginning to understand the mechanistic processes that produce them. This conceptual unification is being facilitated by two breakthroughs. First, intensive, technology-assisted empirical studies are generating vast quantities of new and better data. Second, theoretical ad- vances are characterizing the interrelationships among ecological phenomena and explaining them in terms of first principles of physics, chemistry, and biology. There is much still to be done, but recent progress is encouraging.
机译：尽管生态系统具有巨大的多样性和复杂性，但在分析许多不同物种的许多个体的数据时，数值丰度，空间分布，营养关系和物种丰富度以及双变量和多变量关系的统计分布出现了规律性。这些变量中（例如参考文献1-3）。这些经验宏观经济学模式已经有几十年了，但是现在生态学开始理解产生它们的机制过程。两个突破促进了这一概念上的统一。首先，深入的，技术辅助的实证研究正在产生大量新的更好的数据。第二，理论上的进步描述了生态现象之间的相互关系，并用物理学，化学和生物学的第一原理对其进行了解释。还有许多工作要做，但是最近的进展令人鼓舞。

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