风会影响植被条纹的走向吗?基于copula的轴向和圆向数据混合模型

IF 1.5 3区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Environmetrics Pub Date : 2025-06-23 DOI:10.1002/env.70021
Marco Mingione, Francesco Lagona, Priyanka Nagar, Francois von Holtzhausen, Andriette Bekker, Janine Schoombie, Peter C. le Roux
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引用次数: 0

摘要

本文以植被模式为例,引入了一个带伴随变量的混合模型来研究植被条纹方向与风向之间的关系。该建议依赖于一种新的基于copula的二元分布,用于混合轴向和圆形观测,并提供了一种简洁和计算易于处理的方法来检查在复杂流形中观测到的两个环境变量的依赖性。研究结果表明,优势风通过邻近植物为下风个体提供遮风挡雨的机制来塑造植被条纹的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Wind Affect the Orientation of Vegetation Stripes? A Copula-Based Mixture Model for Axial and Circular Data

Motivated by a case study of vegetation patterns, we introduce a mixture model with concomitant variables to examine the association between the orientation of vegetation stripes and wind direction. The proposal relies on a novel copula-based bivariate distribution for mixed axial and circular observations and provides a parsimonious and computationally tractable approach to examine the dependence of two environmental variables observed in a complex manifold. The findings suggest that dominant winds shape the orientation of vegetation stripes through a mechanism of neighboring plants providing wind shelter to downwind individuals.

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来源期刊
Environmetrics
Environmetrics 环境科学-环境科学
CiteScore
2.90
自引率
17.60%
发文量
67
审稿时长
18-36 weeks
期刊介绍: Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.
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