RiverEyes

Data Description

The purpose for data collection is to understand how flow management affect Rio Grande Silvery Minnow habitat in the Isleta and San Acacia reaches of the MRG. The data were compiled to produce a data format of date, upstream, and downstream ends of river drying.

Data collected from 2002 through 2006 (PPSA) are derived from GPS coordinates identifying the end of downstream flow in each reach. These data were spatially joined to 0.1 river mile (RM) segments using ArcGIS 10.5.1 to create upstream river mile (URM) locations. Downstream river mile (LRM) locations were inferred from established locations of pumps or return flows into the MRG. Drying downstream of Bosque del Apache NWR (RM 74) was set to RM 57.5 as the southern boundary of the water management action area at the Power Lines. Flow in the Low Flow Conveyance Channel (LFCC) was assumed to be too low for the pumps at Ft. Craig (RM 64.5) to provide water to the river channel.

Data collected from 2007 through 2016 (SWCA) are derived from Excel spreadsheets graphically identifying the URM and DRM at 0.5 RM intervals by date. The URM and LRM cells were populated with ‘1s’ for URM and ‘2s’ for DRM to use Excel lookup functions to convert the graphical data into RM locations associated with dates.

Data within the compiled notes from 2011 through 2014 (SWCA) includes GPS coordinates for the top of river drying (downstream end of flow, URM), and the bottom of river drying (LRM). Data compiled and condensed for spatial analysis. These data were spatially joined to 0.1 river mile (RM) segments using ArcGIS 10.5.1 to create upstream river mile (URM) and downstream river mile (LRM) locations.

Data collected from 2016 through 2018 (Geosystems Analysis) were recorded as URM and LRM at 0.1 mile intervals.

Data exported from R script [drying_data_mgt_06062019.R].

RiverEyes_compilation_2002_2018.csv – river drying data: 1918 observations with variables Date, URM, LRM, Distance, Year.

Rio.Grande.Dry.RM.csv – 204469 observations with variables Date, Year, ID (event), mile (0.1).

Rio.Grande.Dry.summary.csv – 6364 observations with variables mile (0.1), Year, days (dry).