Plant trait covariance and nonlinear averaging: a reply to Koussoroplis et al.

Q1 Agricultural and Biological Sciences Rethinking Ecology Pub Date : 2019-02-07 DOI:10.3897/RETHINKINGECOLOGY.4.32767
William C. Wetzel, Heather M. Kharouba, M. Robinson, M. Holyoak, R. Karban
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Abstract

SADIE (Spatial Analysis by Distance Indices) is designed specifically to quantify patterns in spatially-referenced count-based data. It was developed for dealing with data that can be considered ‘patchy’. Such distributions are commonly found, for example, in insect populations where discrete patches of individuals are often evident. The distributions of such populations have ‘hard edges’, with patches and gaps occurring spatially. In these cases variance of abundance does not vary smoothly, but discontinuously. In this paper we outline the use of SADIE and provide free access to the SADIE software suite, establishing Rethinking Ecology as its permanent home. Finally, we review the use of SADIE and demonstrate its use in a wide variety of sub-disciplines within the general field of ecology.
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植物性状协方差和非线性平均:对Koussoropolis等人的答复。
SADIE(通过距离指数进行空间分析)专门用于量化基于空间参考计数的数据中的模式。它是为处理可能被认为是“不完整”的数据而开发的。例如,这种分布通常在昆虫种群中发现,其中个体的离散斑块往往很明显。这些种群的分布具有“硬边”,在空间上存在斑块和间隙。在这些情况下,丰度的变化不是平稳的,而是不连续的。在本文中,我们概述了SADIE的使用,并提供了对SADIE软件套件的免费访问,将重新思考生态学作为其永久的家园。最后,我们回顾了SADIE的使用,并展示了它在生态学一般领域的各种子学科中的使用。
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Rethinking Ecology
Rethinking Ecology Environmental Science-Ecology
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