1.0 DCPLUS 20230510 16141800 20240710 16141800 https://www.arcgis.com/sharing/rest/content/items/31477ff2517f499a8be592a4f06e8613/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=31477ff2517f499a8be592a4f06e8613 31477ff2517f499a8be592a4f06e8613 Feature Service https://services3.arcgis.com/Bb8lfThdhugyc4G3/arcgis/rest/services/RO_v4/FeatureServer River Obstacles in England and Wales with fragmentation statistics 2023-05-10T16:14:18 2024-07-10T10:18:22 fragmentation river obstacles barriers weirs dams culverts sluices Fragmentation statistics for artificial barriers that could be snapped (50 m) and occur in basins with a total length greater than 5 km. Data on the location of each barrier were obtained from the River Obstacles database (downloaded 01/12/2021). For the river network we used the Ordnance Survey Water Network (OSWN) in England and Wales, which was filtered to retain the primary channel (primacy == 1) and exclude small ditches and drains (levelofdetail == ‘local’). Each unique outlet of the river network was assigned a basin IDs. Basins whose total length was <5 km were excluded from the analysis as these predominantly represented single channels or stranded channels that did not represent ‘source to sea’ catchments (Figure 1). The Tweed catchment was excluded from the analysis as 85% of the total catchment area was in Scotland. All filters applied to OSWN were made to avoid topological issues when processing small or incomplete basins.We calculated river fragmentation statistics (Table 1) for artificial barriers (origin == ‘man-made’) within 50 m of the filtered OSWN. Fragmentation statistics were calculated using custom tools built using the sfnetworks package (van der Meer et al., 2021) in R 4.1.2 (R Core Team, 2021). The R script is available at <a href='https://github.com/jahjones/batr' target='_blank' rel='nofollow ugc noopener noreferrer'>https://github.com/jahjones/batr</a>Table 1. Description of new fragmentation metrics. <table border='1' cellpadding='0' cellspacing='0' style='border-collapse:collapse; border:none;'> <tbody><tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> Attribute field </td> <td style='width:327.85pt; border:solid #BFBFBF 1.0pt; border-left:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> Description </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> UQIDO </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> OS Water Network inspireid </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> SYSID </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> OS Water Network catchmentid </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> SYSlength</td><td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'>Total catchment "SYSID" length to MHW (m) </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> LNEXT </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> Length upstream to next barrier(s) (or source if no barriers) - excludes locks (m). </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> LSOURCE </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> Length upstream (along primary flow path) to source (m). </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> SLENGTH </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> Length downstream (along primary path) to MHW (m) (-1 indicates below MHW) </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> STOTAL </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> Total number of barriers downstream to MHW </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> PrimaryPathTotal </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> Sum of LSOURCE and SLENGTH </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> %toNext </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> LNEXT as a percentage of PrimaryPathTotal </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> %DS </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> SLENGTH as a percentage of PrimaryPathTotal </td> </tr> <tr style='height:12.75pt;'> <td style='width:118.45pt; border:solid #BFBFBF 1.0pt; border-top:none; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='158'> %PPT_SystemLength </td> <td style='width:327.85pt; border-top:none; border-left:none; border-bottom:solid #BFBFBF 1.0pt; border-right:solid #BFBFBF 1.0pt; background:#F2F2F2; padding:0cm 5.4pt 0cm 5.4pt; height:12.75pt;' valign='top' width='437'> PrimaryPathTotal as a percentage of SYSlength (canals are identified as a separate system and therefore will not have a relationship to PrimaryPathTotal and should be excluded) </td> </tr> </tbody></table> -6.146331398450149 1.984714947747087 55.79159402928434 49.98518552119267 1 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 31477ff2517f499a8be592a4f06e8613 https://services3.arcgis.com/Bb8lfThdhugyc4G3/arcgis/rest/services/RO_v4/FeatureServer Feature Service EPSG