Supplement 1. The entire raw data set used for the anthropocline framework analysis, including all records that contributed to the final analysis.

File List
RawData_Seiferling.csv (MD5: c9366992cef3ef974b30f37cae4d7dad)

Description
The RawData_Seiferling.csv file is a comma separated file. This file contains the complete raw data set used for the anthropocline framework meta-analysis, including all records that contributed to the final analysis, as well as variables that were tested but found not to have any significant effect on the dependent variable.

Record = Identification number of the study record.

1st Author = First listed author of the study article for each record.

Title = Article title of the study the record is extracted from.

Year = Publication year of the article that the record is extracted from.

Model# = number of the statistical model extracted from the study record. For studies that contributed multiple records (e.g., tested for a relationship between 2 or more variables of environmental heterogeneity and a measure of species diversity) each reported relationship within the study was given a Model#.

Spat_Extent = Categorical sampling spatial extent (3 levels) that the record statistic was derived from. This can include the total area encompassing sampling points or sampling blocks that are separated by un-sampled space.

Extent_km2 = The spatial extent in continuous (square kilometer units).

Grain_m2 = The spatial grain in continuous and explicit form (square meter units).

Spat_Grain = Categorical (3 levels) spatial area of the sampling points within the extent used to derive the EH measure for the sampling extent, to which then enter the model of the recorded statistic.

Terres_Aquat = The type of system the study area is defined by in terms of terrestrial systems vs. aquatic systems.

Ecosystem = The ecosystem and/or landcover type that dominates the study sampling extent for each record.

Humanfoot = The level of human modification to the study area (extent). If the human footprint includes 2 or more differing landuse types, or it is comprised of some natural landcover and some exploited landcover, then it falls into the semi-natural category.

Remote_Ground = The collection mode of the EH data for the record; remotely-sensed vs. ground-based sampling methods or some combination of both.

Spat_Temp = Indicates whether the EH variable denotes spatial variability or temporal variability of the environmental feature measured.

A_Biot_Het = Indicates whether the record's EH variable is a measure of an abiotic feature (e.g., elevation, soil texture, precipitation, temperature) or a biotic feature (e.g., vegetation structure, plant species richness, landcover classes).

Multi_Uni = Indicates whether the statistic reported for each record is based on a single EH variable and EH-BD correlation or is (A) a model result from a variable that integrates two or more environmental variables, at least one of which is a measure of EH (e.g., a regression model using a PCA axis as its independent variable) or (B) a multi-variate analysis (e.g., multiple regression) where at least one of the independent variables entered in the model is a measure of EH.

Plant_Animal = The study organism representing the record's measure of biodiversity.

Direction = The overall direction of the model result and, thus, EH-BD relationship. Moreover the relationship direction always refers to the effect of the environmental heterogeneity variable where possible. In cases where only one variable in a multi-variate model represents EH, then the variable's partial r² or weight or F value is extracted when possible.

N = The sample size for the model statistic reported in the record.