DOI: 10.5061/dryad.8cz8w9gx0
title: Infrastructure and the ethnographic-cartographic production of urban bird species richness

description: The qualitative bio-geographies of human geographers and the quantitative
 mappings of biogeographers share a goal: how to understand living with
 non-human life. Yet they rarely bridge the conceptual and methodological
 gap between them. This paper theorizes how the concept of infrastructure
 can bridge this ethnographic-cartographic divide. Infrastructure is not
 just an inanimate shell. It is also a system of relation, a dynamic
 patterning of socionatural form emerging out of the experiences and
 affective moments of its constituents. As a proof of concept, we
 quantified and compared urban bird species richness and frequency for
 Tallahassee, Florida over a 17-year period (2000–2017) for two
 co-occurring observational infrastructures, eBird and a wildlife
 rehabilitation center that serves the city. Species common to both
 infrastructures comprised 94% of all eBird observations and 99% of all
 rehab records. Their differences reflected contrasts in how the
 motivations for experiencing birds intersected with bird habitat
 preferences, behavior, and contingencies of urban history and development.
 eBird observations had high species richness (295 spp) and reflected the
 growing popularity among birds and a small number of active birders for
 visiting stormwater retention lakes recently modified to improve bird
 habitat. Rehabilitation records had a lower richness (194 spp) and
 exhibited a much more even distribution of bird encounters among
 individual residents as well as community institutions like schools,
 universities, law enforcement, and other government organizations.
 Infrastructural perspectives convey how affective and individualistic
 encounters with non-humans can link to emergent biogeographic mappings and
 how urban biodiversity is relationally and heterogeneously produced rather
 than simply contained in cities. 
description: The raw wildlife rehabilitation data set was obtained from St
 Francis Wildlife Association and Rehabilitation Center in Quincy, Florida.
 These data consisted of the records of birds brought in for rehabilitation
 over the period 2000–2017. These data were cleaned up to include only
 complete records. Addresses for each record are associated with the
 individual or entity that brought the birds in for rehab. These were
 geocoded to produce a distribution of point locations for these rehab
 events. eBird data was obtained from the online website. These were
 filtered to include only those observations that were part of completed
 checklists. 
description: QGIS or ESRI ArcGIS products
description: ## Infrastructure and the ethnographic-cartographic production of urban
 bird species richness *** These are the data sets used in the research
 article Infrastructure and the ethnographic-cartographic production of
 urban bird species richness published in Environment and Planning F (Sage
 Publishers). There are two data sets, one consists of the records of birds
 brought into a wildlife rehabilitation center and the other is eBird
 records for the same geographic area. These data were geocoded and
 analyzed to ascertain their differences in bird relative percent frequency
 and species richness across the study and through time. For further
 information consult the publication or contact the author, J. Anthony
 Stallins (ja.stallins@uky.edu). Stallins JA, Lally N, Luther E, 2023.
 Infrastructure and the ethnographic-cartographic production of urban bird
 species richness. Environment and Planning F. ## Description of the data
 Shared\_species\_only.csv This data set lists bird species common to the
 eBird and the wildlife rehab datasets within the circular study area
 employed in this study. * Col 1 Row label - Species name * Col 2 eBirdRP -
 Relative percent frequency of occurrence in the eBird data * Col 3 eBirdC
 - Number of observations that recorded the presence of this species in
 eBird * Col 4 RehabRP - Relative percent frequency of occurrence in the
 rehab data * Col 5 RehabC - Number of rehab observations * Col 6 Status -
 Identifier only, C (common to both datasets) Unique\_eBird\_species.csv
 This data set lists bird species unique to the eBird observations within
 the circular study area. These are bird species that did not appear in the
 rehab observations. * Col 1 Name - Species * Col 2 eBirdRP - Relative
 percent frequency of occurrence in the eBird data * Col 3 eBirdC - Number
 of observations that recorded the presence of this species in eBird * Col
 4 Status Identifier only, UE (Unique to eBird) Unique\_rehab\_species.csv
 This data set lists bird species unique to the rehab data within the
 circular study area. These species did not appear within the study area
 for the eBird data at the time of the analysis. * Col 1 Name - Species *
 Col 2 RehabRP - Relative percent frequency of occurrence * Col 3 RehabC -
 Number of observations that recorded the presence of this species in rehab
 data * Col 4 Status Identifier only, UR (Unique to rehab) * Col 5 Common -
 Common name * Col 6 Notes - Possible explanations for uniqueness
 NMDS\_study\_area.csv This is the data set used to perform non-metric
 multidimensional scaling of how frequencies have changed through time for
 wildlife rehab and eBird data * Col 1 YEARDATA - Year and dataset (E -
 eBird, R - rehab) * Col 2 DATA - Category (1 - eBird, 2 - rehab) * Cols 3
 - 305 Species relative percent frequency. Species are listed by the first
 three letters of their genus name and the first three letters of their
 species name Raw\_geocoded\_rehab\_data\_Leon\_County.csv These are
 wildlife rehabilitation observations for 2000-2017. Coordinates represent
 the location associated with the address of the individual who brought in
 a bird for rehab. Projection coordinate system: WGS 1984 Web Mercator.
 Projection: Mercator Auxilliary Sphere. * Col 1 X - Meters west * Col 2 Y
 - Meters north * Col 3 DATE * Col 4 YEAR * Col 5 MONTH * Col 6 DAY - Day
 of the month * Col 7 SCIENTIFIC - Species name * Col 8 CLASS - Taxonomic
 class (Aves) * Col 9 COMMON - Common name * Col 10 ABRV - Abbreviated
 common name using first three letters of the genus name and the first
 three letters of the species name
 Circular\_statistics\_data\_rehab\_study\_area.csv This data set was used
 to calculate the annual distribution of rehab recoveries. This data lists
 all the rehab recoveries by date as recorded on intake paperwork at the
 rehab center. Count and frequency data can be used to summarize across
 species and time intervals. * Col 1 CALENDAR Date (Month/Day/Year) * Col 2
 DOTM - Day of the month (1-31) * Col 3 YR - Year (2000-2017) * Col 4 MNTH
 - Month (1-12) * Col 5 SCIENTIFIC - Species name * Col 6 COMMON - Common
 name * Col 7 COUNT - Count variable only (1) used to summarize rehab
 recoveries by species and date * Col 8 RELPER - Relative percent frequency
 of each rehab recovery * Col 9 WOTY - Week of the year (1-52) * Col 10
 DATASET - Rehab data set identifier only (1) Rehab\_locations.zip
 Rehab\_locations.shp This shapefile shows the point locations of rehab
 recoveries for the circular study area. Projection coordinate system: WGS
 1984 Web Mercator. Projection: Mercator Auxilliary Sphere. Shapefiles can
 be viewed in QGIS (open source) or ESRI ArcGIS software. Attributes
 contained in this shapefile in the .dbf file * Col 1 ID - Unique
 identifier * Col 2 ADDRESS - Street address of rescuer * Col 3 X - Meters
 west (geocoded address) * Col 4 Y - Meters north (geocoded address) * Col
 5 DATE - MM/DD/YYYY * Col 6 YEAR - 2000-2017 * Col 7 MONTH - 1-12 * Col 8
 DAY - Day of the month (1-31) * Col 9 REASON - Rehabber remarks on reason
 for injury * Col 10 CITY * Col 11 SCIENTIFIC - Scientific name * Col 12
 CLASS - Taxonomic class (AVES) * Col 13 COMMON - Common name * Col 14 ABRV
 - Abbreviated common name using first three letters of the genus name and
 the first three letters of the species name Sampling\_area.zip
 Sampling\_area.shp This is a polygon shapefile demarcating the circular
 study area centered over Tallahassee, Florida. All data used in the
 analyses for this study were contained within this circular area.
 Projection coordinate system: WGS 1984 Web Mercator. Projection: Mercator
 Auxilliary Sphere. ## Sharing/Access information Raw eBird data are
 available from the eBird website. Only eBird summary results are presented
 in these files. ## Code/Software Non-metric multidimensional scaling was
 performed on PC-Ord Version 7.