首页> 外文会议>Policy Workshop on Scaling Issues in Inegrated Assessment Jul 12-19, 2000 Mechelen >Strategic Cyclical Scaling: Bridging Five Orders of Magnitude Scale Gaps in Climatic and Ecological Studies
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Strategic Cyclical Scaling: Bridging Five Orders of Magnitude Scale Gaps in Climatic and Ecological Studies

机译:战略周期性扩展:在气候和生态研究中弥合五个数量级的尺度缺口

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We have suggested that progress in bridging orders of magnitude differences in scale may be aided by use of the cycling across scales in which micro information of processes and mechanisms is used to make predictions at larger scales, and then data at larger scales is used to test to predictions, after which future micro refinements are performed in light of the testing at macro levels. We show that this process is easiest to apply when the distances across the disciplines that are coupled is not too great - within ecology or ecology coupled to climate - our prime examples developed above. We also suggest -and give an example - that this becomes more difficult in practice when natural and social scientific sub-models are coupled - at least until an interdisciplinary epistemic community emerges in which each sub-discipline learns enough about the methods and traditions of the other sub-disciplines to communicate meaningfully. We also note that although convergence of cycling across scales may occur for some problems, where fundamental data is lacking to test - at micro or macro scales - or where functional relationships among variables are still highly uncertain, convergence may not be easily obtained. It is difficult to fashion a set of rules for applying SCS, but clearly the keys are to have (a) a reasonable idea of processes/mechanisms at smaller scales (b) some relevant data sets at large scales to test the predictions of models built on the micro level understanding, and (c) the development and fostering of interdisciplinary teams, and eventually, interdisciplinary communities, capable of unbiased peer reviewing of cross-scale, cross-disciplinary analyses in which the bulk of the originality is in the integrative aspects, rather than advances in the sub-disciplines that are coupled. Several of the contributions in this volume are excellent examples of the progress that is being made in fostering the development of such an interdisciplinary community, progress that is essential to the growth and credibility of the integrated assessment of climate change.
机译:我们已经建议,跨尺度的循环可以帮助弥合尺度上数量级差异的进展,其中使用过程和机制的微信息来进行较大规模的预测,然后使用较大规模的数据进行测试预测,然后根据宏观水平的测试进行未来的微细化。我们表明,当上述学科之间的距离不太远时(在生态学或与气候相关的生态学范围内),我们最容易应用此过程。我们还建议并举个例子,当自然科学模型与社会科学子模型耦合在一起时,这在实践中将变得更加困难-至少直到跨学科的认识论社区出现,在该学科中,每个子学科都充分了解该学科的方法和传统。其他子学科进行有意义的交流。我们还注意到,尽管对于某些问题,跨尺度循环可能会发生收敛,但是在微观或宏观尺度上缺乏基础数据测试的情况下,或者变量之间的函数关系仍然高度不确定的情况下,收敛可能并不容易。制定一套适用于SCS的规则很困难,但是很明显,关键是要(a)在较小规模上具有合理的过程/机制构想(b)在较大规模上具有一些相关数据集以测试所构建模型的预测(c)跨学科团队,以及最终跨学科社区的发展和培养,能够公正地对跨规模,跨学科的分析进行同行评审,其中大部分原创性在于整合方面,而不是相关子学科的进步。本卷中的几篇文稿很好地说明了在促进这种跨学科社区发展方面取得的进展,这些进展对于气候变化综合评估的增长和可信度至关重要。

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