Mapping breeding bird species richness at management-relevant resolutions across the United States

OVERALL SPECIES RICHNESS
Spatial Resolution:
500m 2500m 5000m
LAYER OPACITY
LEGEND
Number of species
0-20
20-40
40-60
60-80
80+

DOWNLOADS

Group Variable Description Resolutions
Biodiversity Predictors Cloudiness Index Landsat 8-based cloudiness index. To calculate a standardized cumulative cloud count, or Cloudiness Index, we took the sum of cloudy pixels across our image stack and divided this by the total number of available images. 500m 2500m 5000m
Biodiversity Predictors Cumulative DHI Cumulative Dynamic Habitat Indices from Landsat-8 2013 to 2020. This metric is created by summing up all monthly median NDVI values. 500m 2500m 5000m
Biodiversity Predictors Minimum DHI Minimum Dynamic Habitat Indices from Landsat-8 2013 to 2020. This metric is created by selecting the minimum NDVI. 500m 2500m 5000m
Biodiversity Predictors Variation DHI Variation Dynamic Habitat Indices from Landsat-8 2013 to 2020. This metric is created by calculating the coefficient of variation of NDVI. 500m 2500m 5000m
Biodiversity Predictors Median Greenness EVI Mean Greenness Enhanced Vegetation Index (EVI) based on composite image of median EVI values between May and August (2013-2019) as a representative measure of vegetation greenness during the growing season. 500m 2500m 5000m
Biodiversity Predictors Peak Greenness EVI Peak Greenness Enhanced Vegetation Index (EVI) based on 90th percentile greenness values across our image stack between May and August (2013-2019). 500m 2500m 5000m
Biodiversity Predictors Housing density The block-level housing density from the 2010 housing dataset, resampled from (http://silvis.forest.wisc.edu/data/housing-block- change/). 500m 2500m 5000m
Biodiversity Predictors Texture Contrast All texture metrics are based on the cumulative DHI. This is a second order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Correlation All texture metrics are based on the cumulative DHI. This is a second order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Dissimilarity All texture metrics are based on the cumulative DHI. This is a second order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Entropy All texture metrics are based on the cumulative DHI. This is a second order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Mean All texture metrics are based on the cumulative DHI. This is a first order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Standard Deviation All texture metrics are based on the cumulative DHI. This is a first order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Uniformity All texture metrics are based on the cumulative DHI. This is a second order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Texture Variance All texture metrics are based on the cumulative DHI. This is a first order texture metric, based on a 17×17 moving window. For specific information on texture visit https://silvis.forest.wisc.edu/webmaps/landsat8-evi- textures/ 500m 2500m 5000m
Biodiversity Predictors Summer Relative Temperature Metric based on data from Landsat 8’s Thermal Infrared Sensor (TIRS), from 2014 to 2020. Summer (June to August) relative temperature is derived by assigning the mean value within a moving window to the central pixel, and then taking the median value of those means across the image stack. Based on 17×17 moving window. 500m 2500m 5000m
Biodiversity Predictors Summer Thermal Heterogeneity Metric based on data from Landsat 8’s Thermal Infrared Sensor (TIRS), from 2014 to 2020. Summer (June to August) thermal heterogeneity is derived by assigning the standard deviation value within a moving window to the central pixel, and then taking the median value of those standard deviations across the image stack. Based on 17×17 moving window. 500m 2500m 5000m
Biodiversity Predictors Temperature Amplitude Metric based on data from Landsat 8’s Thermal Infrared Sensor (TIRS), from 2014 to 2020. To evaluate the potential effects of the magnitude of seasonal differences in temperature on birds, we calculated a measure of temperature amplitude by taking the difference between median summer and winter relative temperatures. Based on 17×17 moving window. 500m 2500m 5000m
Biodiversity Predictors Winter Relative Temperature Metric based on data from Landsat 8’s Thermal Infrared Sensor (TIRS), from 2014 to 2020. Winter (December to February) relative temperature is derived by assigning the mean value within a moving window to the central pixel, and then taking the median value of those means across the image stack. Based on 17×17 moving window. 500m 2500m 5000m
Biodiversity Predictors Winter Thermal Heterogeneity Metric based on data from Landsat 8’s Thermal Infrared Sensor (TIRS), from 2014 to 2020. Winter (December to February) thermal heterogeneity is derived by assigning the standard deviation value within a moving window to the central pixel, and then taking the median value of those standard deviations across the image stack. Based on 17×17 moving window. 500m 2500m 5000m
Biodiversity Predictors Frozen Ground (no snow) WHIs are based on temporally harmonized Landsat 8 and Sentinel-2 data (30 m). This metric represents frequency of frozen ground without snow days (requires additional data for frozen ground status from PRISM). It is calculated for the core winter months only (Dec- Feb), derived from 8-day composites of snow observations, and captures freeze/thaw dynamics and approximate subnivean conditions to varying degrees. 500m 2500m 5000m
Biodiversity Predictors Snow Cover Variability WHIs are based on temporally harmonized Landsat 8 and Sentinel-2 data (30 m). This metric represents It is calculated for the core winter months only (Dec- Feb), derived from 8-day composites of snow observations, and captures freeze/thaw dynamics and approximate subnivean conditions to varying degrees. 500m 2500m 5000m
Biodiversity Predictors Snow Season Length WHIs are based on temporally harmonized Landsat 8 and Sentinel-2 data (30 m). This metric represents snow season length. Snow season length is comparable to overall winter length, indicates how long birds are exposed to winter conditions, and is calculated by taking the difference between the first and last snow dates. 500m 2500m 5000m