Football Game Program 3 1965

Football Game Program 3 196

Appendix A. List of variables and their definitions for natural environmental setting, soils, topography, and ecoregions.

List of variables and their definitions for natural environmental setting, soils, topography, and ecoregions

Appendix B. List of variables and their definitions for landcover, infrastructure, and census.

List of variables and their definitions for landcover, infrastructure, and census

Appendix D. List of variables and their definitions for invertebrate metrics.

List of variables and their definitions for invertebrate metrics

Appendix C. List of variables and their definitions for hydrology, water temperature, water chemistry and pesticide indices, SPMD chemistry, and habitat.

List of variables and their definitions for hydrology, water temperature, water chemistry and pesticide indices, SPMD chemistry, and habitat

Appendix A. An example of a meta-analysis.

An example of a meta-analysis

Supplement 1. Computer programs in R and data sets used in the paper.

<h2>File List</h2><blockquote> <table> <tbody><tr> <td><a href="codewithcomments.txt">R code and comments</a></td> <td> </td> <td>Details of computer programs (in R) used in the paper.</td> </tr> <tr> <td><a href="N2Oemission.csv">N2O Emission</a></td> <td> </td> <td>Data for the N₂O emission Example.</td> </tr> <tr> <td><a href="rtol_MS.csv">rtol</a></td> <td> </td> <td>Richness tolerance data for the EUSE Example.</td> </tr> <tr> <td><a href="EUSE_NAT_ENV_MS.csv">EUSE_ENV_Data</a></td> <td> </td> <td>Data for the EUSE example, describing environmental characteristics of each metropolitan area.</td> </tr> <tr> <td><a href="City_AG_MS.csv">EUSE_AG_GRASS</a></td> <td> </td> <td>Data for the EUSE example, providing estimated background agricultural land use information.</td> </tr> </tbody></table> </blockquote><h2>Description</h2><blockquote> <p>R programs for the examples in the paper and in Appendix A are in <a href="codewithcomments.txt">this file</a>.</p> <p>The N₂O emission data set has seven columns:</p> -- TABLE: Please see in attached file. -- <p> </p> <p>The richness tolerance data set has eight columns:</p> -- TABLE: Please see in attached file. -- <p> </p> <p>Regional environmental data set has seven columns:</p> -- TABLE: Please see in attached file. -- <p> </p> <p>Background agricultural data set has five columns:</p> -- TABLE: Please see in attached file. -- </blockquote

Appendix A. Invertebrate responses to urbanization in the nine metropolitan areas based on EPT richness (EPT), ordination scores (NMDS), and organism tolerances (RICHTOL) summarized as linear and loess regressions and compared with change points defined by TITAN analysis.

Invertebrate responses to urbanization in the nine metropolitan areas based on EPT richness (EPT), ordination scores (NMDS), and organism tolerances (RICHTOL) summarized as linear and loess regressions and compared with change points defined by TITAN analysis

Interaction of riparian wetlands and average March runoff (mm) on RichTOL for N.E Highlands BRT model.

<p>Boosted regression tree partial dependency plot shows the response form of average taxa tolerance (y-axis  =  fitted function of RichTOL) based on the effect of the interaction of two individual explanatory variables along the response variable (all other variable responses removed). There is a relatively large interaction at high values of average March runoff when there are also high values of percent riparian wetland thus resulting in higher values of tolerant taxa (RichTOL) than would be expected. We believe that high values of riparian wetland are acting as a surrogate for high values of percent urban land use.</p

Interaction of manmade streams and mean elevation on RichTOL for Northern Piedmont BRT model.

<p>Boosted regression tree partial dependency plot shows the response form of average taxa tolerance (y-axis  =  fitted function of RichTOL) based on the effect of the interaction of two individual explanatory variables along the response variable (all other variable responses removed). There is a relatively strong interaction acting on RichTOL at low values of mean elevation and high values of percent manmade streams that cause high values of tolerant taxa to occur. This is a common pattern, higher urbanization occurring in the lower elevation valleys.</p