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Linked collectors and determiners for: Western Palearctic migratory birds in continental Africa.

Natural history specimen data linked to collectors and determiners held within, "Western Palearctic migratory birds in continental Africa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/84c58b60-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/84c58b60-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/84c58b60-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/84c58b60-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.

Fig. S1 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore

Fig. S1. Average monthly high tide peak counts of seven shorebird species from Sungei Buloh Wetland Reserve. Counts were conducted from 2000 to 2006. Error bars indicate standard deviation. Raw data from Gan (2007).

Fig. 5 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore

Fig. 5. Plots of linear least square regression showing relationship between nereidid (Family Nereididae) worm abundance and shorebird density at the pond/mudflat level. A, regression with all 20 ponds/mudflats with benthic infauna data; B, regression with three outlier ponds/mudflats removed.

Fig. 4. A in Distribution and prey of migratory shorebirds on the northern coastline of Singapore

Fig. 4. A, Plot of transects; and B, polychaete families along NMDS axes one and two. A, transects are labeled as "site name", followed by "transect name" (if there were more than one transect in that site) and sampling cycle (one or two). C, D, Transects belonging to different sites and sampling cycles are connected by lines to form minimum convex polygons (e.g., polygon labeled as MD-1 encompasses all transects from Sungei Mandai sampled during cycle one). In the plotting of polygons, transects from SDN and SDS are combined, and collectively labeled as SD. See Table 1 for full site names.

Fig. 2 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore

Fig. 2. Monthly counts of the eight most common shorebird species, summed across all study sites. Solid lines represent high tide counts and dashed lines low tide counts.

Fig. 1 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore

Fig. 1. Map of Singapore showing the study sites on the north coast (enlarged). See Table 1 for full site names. Insert shows position of Singapore in relation the Malay Peninsula and other Southeast Asian islands.

Fig. 3 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore

Fig. 3. Average number of birds per month at different tide levels at the study sites during: A, southward migration; B, northward migration; and C, the wintering period. See Table 1 for full site names.

Fig. 6 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 6. Above: Retreat of the Pilcomayo River and dynamic creation of new flood plains due to self-blockage (silting up) of the river channel. This caused a retreat of hundreds of kilometers of the choke point in a few decades (indicated by the black arrow) and an upstream migration of the flood plains. Bullets indicate migrating Sábalo population in the Pilcomayo River (white) and Sábalo population in the La Plata basin (black). Below: Breakthrough of Pilcomayo River bank inundating new areas in the Chaco floodplain area.

Fig. 5 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 5. (a) Mean annual discharge and Sábalo catches over the years in the Pilcomayo River near Villa Montes. (b) Calculated and observed Sábalo catches based on the data presented in Fig. 4a. Correlations were obtained by stepwise multiple linear regression with backward selection (SPSS v. 15.0). The river discharge of the seven preceding years (Y1-Y7) plus the current year (Y0) were used in the analyses. The solid line is based upon the years 1980-2006. The dashed line is based upon the years 1997-2007. (c) Observed Sábalo catches plotted against the calculated Sábalo catches for the years 1980-1996 and 1997- 2006. Data of Sábalo catches and mean river discharges were obtained from Proyecto Pilcomayo (Tarija, Bolivia).

Fig. 4 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 4. (a) Mean annual discharge for the Pilcomayo River since 1960. The values were calculated for the hydrological year, which runs from October of the previous year until September of the current year. Data were obtained from Proyecto Pilcomayo (Tarija, Bolivia). (b) Mean monthly values of the Southern Oscillation Index (dots) and mean annual discharges of the Pilcomayo River (open circles), since 1976. Mean annual discharge values were calculated from data obtained from Proyecto Pilcomayo (Tarija, Bolivia). The values were calculated for the hydrological year, which runs from October of the previous year until September of the current year.

Fig. 3 in Population dynamics of the migratory fish Prochilodus lineatus in a neotropical river: the relationships with river discharge, flood pulse, El Niño and fluvial megafan behaviour

Fig. 3. Total dissolved solids concentration (TDS) in Pilcomayo River water (a) or water temperature (b) and gonadal maturation indices of Sábalo (Prochilodus lineatus) fish versus time (May 1998 until February 1999). The gonadal maturation indices are scaled from 1 to 6 in which 6 represents spawning.

Fig. 3 in Blockage of migration routes by dam construction: can migratory fish find alternative routes?

Fig. 3. Relationship between the time of recapture (days) and the movement (km) of individuals of the curimba P. lineatus, after the fish were caught and tagged near the Porto Primavera Dam. The movements above the 0 km axis represent upstream movements, and movements below the axis indicate downstream travels. The release locality of the fish is indicated in the figure (downstream or upstream).

Fig. 2 in Blockage of migration routes by dam construction: can migratory fish find alternative routes?

Fig. 2. Mean (±SE) of release-recapture time lag (a), distance traveled (b) and speed developed (c) by individual curimba Prochilodus lineatus in the Upper Paraná River region, tagged and released downstream (Down) and upstream (Up) from the Porto Primavera Dam. Location indicates, respectively, the "release point – recapture point" in relation to the Porto Primavera Dam.

Fig. 8 in Swimming performance of the migratory Neotropical fish Leporinus reinhardti (Characiformes: Anostomidae)

Fig. 8. Scatterplot of the relationship between time to fatigue (min) and percent fatigued for piaus of three different speed classes (lines represent fit of the models for each size class).

Fig. 7 in Swimming performance of the migratory Neotropical fish Leporinus reinhardti (Characiformes: Anostomidae)

Fig. 7. Mean (± standard deviation – SD; minimum – Min; and Maximum – Max) values of prolonged speed (length/s) per fatigue time (min/10) for the piau Leporinus reinhardti.

Fig. 6 in Swimming performance of the migratory Neotropical fish Leporinus reinhardti (Characiformes: Anostomidae)

Fig. 6. Mean (± standard deviation – SD; minimum – Min; and Maximum – Max) values of time to fatigue (min) per speed class (lengths/s) for piau Leporinus reinhardti.

Fig. 5 in Swimming performance of the migratory Neotropical fish Leporinus reinhardti (Characiformes: Anostomidae)

Fig. 5. Curves representing the relationship between critical speed (m/s) and length (m) for the piau at different temperatures, compared to two salmonids (Salmo salar and Oncorhynchus nerka).

Fig. 4 in Swimming performance of the migratory Neotropical fish Leporinus reinhardti (Characiformes: Anostomidae)

Fig. 4. Curves representing the relationship between critical swimming speed (m/s) and length (m) for the piau (continuous line in the squares on the top left of the figure) and some species from the temperate zone. Full names of some species are given in Table 2).

Fig. 1 in Blockage of migration routes by dam construction: can migratory fish find alternative routes?

Fig. 1. Map of the study area, which includes the stretch of the Paraná River between the Jupiá and Itaipu reservoirs. Numbers between parentheses are the numbers of individuals of curimba (Prochilodus lineatus) recaptured in each place (details given in Results).

Fig. 5 in Can north american fish passage tools work for South american migratory fishes?

Fig. 5. Patterns in velocity magnitude (m/s) and total hydraulic strain (s-1) for the Lower Granite Dam SBC in 2000 [A] and RSW in 2003 [B]. Dam operations described in Goodwin et al. (2006). Each of the two configurations is described with 4 paired velocity magnitude and total hydraulic strain plots. For each grouping, top plots depict a cross-section through the bypass structure (middle entrance of SBC in 2000 and RSW in 2003), 3-D plots in each grouping are cross-sections parallel to dam face at 50 m intervals, and the two bottom plots are horizontal plan views (z = 37 and 42.25 m) showing the change in hydrodynamic pattern at different locations and depths.