R script to execute the hierarchical structural equation model (model 2) using a piece-wise approach. The model analyzes direct and indirect effects of climate, herbivory and nutrient supply on total plant nutrient responses (the sum of N, P and K) at multiple spatial scales by combining site- and plot-level predictors in a multi-level structural equation model
International audienceStructural equation models (SEMs) provide a statistical framework for compact ...
Only significant paths are presented. Dashed arrows signify negative effects and solid arrows repres...
Models are essential in the study of plant responses to climate change. Most experimental studies ar...
<p><strong>Figure 6 from Scherber et al. (2013), Ecology and Evolution, http://dx.doi.org/10.1002/ec...
<h2>File List</h2><div> <p><a href="R_code.txt">R_code.txt</a> (MD5: b098d58a19eb29942...
R script to execute the analysis of covariance on the log response ratio of total plant nutrients in...
<p>Treatment (exogenous) variables are shown in yellow boxes and have direct effects (single-headed ...
Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of...
This repository includes R scripts to reproduce analyses and figures found in the article "Quantifyi...
Increasingly, funding agencies are investing in integrated and transdisciplinary research to tackle ...
<p>The saturated model (top) includes both direct effects of attenuated imperviousness (AI) and indi...
Models are essential in the study of plant responses to climate change. Most experimental studies ar...
The use of structural equation modeling (SEM) is often motivated by its utility for investigating co...
Variation in the abundance of species in space and/or time can be caused by a wide range of underlyi...
Structural equation modeling of grazing and drought to predict community structure and biodiversity ...
International audienceStructural equation models (SEMs) provide a statistical framework for compact ...
Only significant paths are presented. Dashed arrows signify negative effects and solid arrows repres...
Models are essential in the study of plant responses to climate change. Most experimental studies ar...
<p><strong>Figure 6 from Scherber et al. (2013), Ecology and Evolution, http://dx.doi.org/10.1002/ec...
<h2>File List</h2><div> <p><a href="R_code.txt">R_code.txt</a> (MD5: b098d58a19eb29942...
R script to execute the analysis of covariance on the log response ratio of total plant nutrients in...
<p>Treatment (exogenous) variables are shown in yellow boxes and have direct effects (single-headed ...
Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of...
This repository includes R scripts to reproduce analyses and figures found in the article "Quantifyi...
Increasingly, funding agencies are investing in integrated and transdisciplinary research to tackle ...
<p>The saturated model (top) includes both direct effects of attenuated imperviousness (AI) and indi...
Models are essential in the study of plant responses to climate change. Most experimental studies ar...
The use of structural equation modeling (SEM) is often motivated by its utility for investigating co...
Variation in the abundance of species in space and/or time can be caused by a wide range of underlyi...
Structural equation modeling of grazing and drought to predict community structure and biodiversity ...
International audienceStructural equation models (SEMs) provide a statistical framework for compact ...
Only significant paths are presented. Dashed arrows signify negative effects and solid arrows repres...
Models are essential in the study of plant responses to climate change. Most experimental studies ar...