• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >A bivariate model for estimating reciprocal causality within biogeomorphic ecosystems: The cross-lagged panel model
【24h】

A bivariate model for estimating reciprocal causality within biogeomorphic ecosystems: The cross-lagged panel model

机译：估算生物果断生态系统中往复因果关系的双偏见模型：交叉滞后面板模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Biogeomorphic ecosystems (e.g. rivers, salt marshes, mangroves and coastal dunes) are shaped by feedbacks between geomorphology and engineer plants that occur at various spatiotemporal scales. The classical bivariate and multivariate statistical methods currently used in biogeomorphology do not permit clear identification of reciprocal causality between geomorphic and biological variables. The aim of this article is to present the potential of the cross-lagged panel model (CLPM) to estimate reciprocal associations (causality) between one geomorphic and one biological variable over time. This tool, which originates from behavioural, social, medical and educational sciences, has clear potential as a novel approach to causal analysis in the context of biogeomorphic ecosystems. We provide a case study of the application of CLPM for analysing biogeomorphic feedbacks between topography and Populus nigra L. physiognomy on a wooded point bar of the Garonne River, France. (c) 2018 John Wiley & Sons, Ltd.
机译：生物正常生态系统（例如河流，盐沼，红树叶和沿海沙丘）是通过在各种时空尺度发生的地貌和工程植物之间的反馈来塑造。目前用于生物果形态的经典双变量和多变量统计方法不允许清楚地识别地貌和生物变量之间的往复因果关系。本文的目的是呈现交叉滞后面板模型（CLPM）的潜力，以随着时间的推移估计一个地貌和一个生物变量之间的互惠关联（因果关系）。该工具源自行为，社会，医疗和教育科学，具有明显的潜力作为生物果断生态系统背景下的语气分析的新方法。我们提供了CLPM在法国Garonne River河的树木繁茂的栏杆上分析了CLPM以分析了地形和Populus nigra L. phy的生物果断反馈的案例研究。 （c）2018 John Wiley＆Sons，Ltd。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号