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Рис. 3. ÀенΑрограмма биоценотического схоΑства зоопΛанктона техногенных воΑоемов: 4–6 — ШерΛовогорское месторожΑение:4 — ШГ-10 — карьерное озеро, 5 — ШГ-8 — озеро поΑ отваΛами руΑного карьера, 6 — ШГ-9 — поΑпруΑное озеро у пгт. ШерΛовая Гора;7–8 — ОрΛовское месторожΑение: 7 — ОР-1, ОР-3 — хвостохраниΛище, 8 — ОР-7 — озеро ниже хвостохраниΛища; 9 — МаΛокуΛунΑинское месторожΑение: МК-2 — поΑпруΑное озеро р. МаΛая КуΛинΑа; 10 — Спокойнинское месторожΑение: ОР-8 — хвостохраниΛище; 11 — Жипкошинское месторожΑение: ЖП-2 — карьер Fig. 3. Dendrogram of zooplankton biocenotic similarity in technogenic reservoirs: 4–6 — Sherlovogorskoye deposit: 4 — ShG-10 pit lake, 5 — ShG-8, a lake under the dumps of an ore quarry, 6 — ShG-9 dammed lake near the village of Sherlovaya Gora;7 –8 — Orlovskoye deposit: O R-1, OR-3 — tailing dump, OR-7— lake below the tailing dump; 9 — Malokulundinskoye deposit: MK-2 — dammed lake on the Malaya Kulinda River; 10 — Spokoininskoye deposit: OR-8 — tailing dump; 11 — Zhipkoshinskoye deposit; ZhP-2 — pit lake in Zooplankton species diversity in technogenic reservoirs of the Southeastern Transbaikalia

Рис. 3. ÀенΑрограмма биоценотического схоΑства зоопΛанктона техногенных воΑоемов: 4–6 — ШерΛовогорское месторожΑение:4 — ШГ-10 — карьерное озеро, 5 — ШГ-8 — озеро поΑ отваΛами руΑного карьера, 6 — ШГ-9 — поΑпруΑное озеро у пгт. ШерΛовая Гора;7–8 — ОрΛовское месторожΑение: 7 — ОР-1, ОР-3 — хвостохраниΛище, 8 — ОР-7 — озеро ниже хвостохраниΛища; 9 — МаΛокуΛунΑинское месторожΑение: МК-2 — поΑпруΑное озеро р. МаΛая КуΛинΑа; 10 — Спокойнинское месторожΑение: ОР-8 — хвостохраниΛище; 11 — Жипкошинское месторожΑение: ЖП-2 — карьер Fig. 3. Dendrogram of zooplankton biocenotic similarity in technogenic reservoirs: 4–6 — Sherlovogorskoye deposit: 4 — ShG-10 pit lake, 5 — ShG-8, a lake under the dumps of an ore quarry, 6 — ShG-9 dammed lake near the village of Sherlovaya Gora;7 –8 — Orlovskoye deposit: O R-1, OR-3 — tailing dump, OR-7— lake below the tailing dump; 9 — Malokulundinskoye deposit: MK-2 — dammed lake on the Malaya Kulinda River; 10 — Spokoininskoye deposit: OR-8 — tailing dump; 11 — Zhipkoshinskoye deposit; ZhP-2 — pit lake

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Figure. Lateral view and mouth shape of (A) Capoeta damascina, NUIC-1519, 158.9 mm SL; Malatya prov.: Sürgü Stream. TigrisEuphrates basin (B) C. damascina, NUIC-1520, 163.5 mm SL; Gaziantep prov.: Merzimen Stream, Tigris-Euphrates basin (C) C. damascina, NUIC-1521, 152.3 mm SL; Adıyaman prov.: Input of Atatürk Dam Lake, Tigris-Euphrates basin (D) C. damascina, NUIC-1817, 127.3 mm SL; Kilis prov.: Sapkanlı Pond, Orontes basin (E) C. kosswigi, NUIC-1907, 179.3 mm SL; Van prov.: Karasu Stream, Lake Van basin (All from Turkey). in Capoeta kosswigi Karaman, 1969 a junior synonym of Capoeta damascina (Valenciennes, 1842) (Teleostei: Cyprinidae)

Figure. Lateral view and mouth shape of (A) Capoeta damascina, NUIC-1519, 158.9 mm SL; Malatya prov.: Sürgü Stream. TigrisEuphrates basin (B) C. damascina, NUIC-1520, 163.5 mm SL; Gaziantep prov.: Merzimen Stream, Tigris-Euphrates basin (C) C. damascina, NUIC-1521, 152.3 mm SL; Adıyaman prov.: Input of Atatürk Dam Lake, Tigris-Euphrates basin (D) C. damascina, NUIC-1817, 127.3 mm SL; Kilis prov.: Sapkanlı Pond, Orontes basin (E) C. kosswigi, NUIC-1907, 179.3 mm SL; Van prov.: Karasu Stream, Lake Van basin (All from Turkey).

Figure 4 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake

Figure 4. Abundance (a), polymer characterization (b), and shape (c) of microplastics collected from sediment samples from three lakes.

Figure 2 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake

Figure 2. Evaluation of the extracted microplastics (MPs) from sediments and mussels. a) Appearance of MPs under a fluorescence microscope using Nile Red fluorescent dye, b) FTIR spectrums of MPs, and c) appearance of MPs under a stereo microscope.

Figure 3 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake

Figure 3. Characterization of microplastics (MPs) obtained from sediments and mussel samples. The upper panel is the shape, the middle is the polymer type, and the lower panel is the MPs' size.

Figure 1 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake

Figure 1. Sampling area. Red circles represent the locations of the lakes where sediments and mussels were collected.

Fig. 5. Average and 95 in Larvae occurrences of Rhamdia quelen (Quoy & Gaimard, 1824) (Siluriformes: Heptapteridae) in an area under dam influence in the upper Paraná River region, Brazil

Fig. 5. Average and 95% confidence interval for the mean log (Dens. + 1) observed in the different sampling stations 10 during the period (Different letters indicate significant differences according to the Unequal HSD test).

Fig. 4 in Larvae occurrences of Rhamdia quelen (Quoy & Gaimard, 1824) (Siluriformes: Heptapteridae) in an area under dam influence in the upper Paraná River region, Brazil

Fig. 4. Monthly average values of environmental variables in different spawning periods in Ilha Grande National Park.

Fig. 2 in Larvae occurrences of Rhamdia quelen (Quoy & Gaimard, 1824) (Siluriformes: Heptapteridae) in an area under dam influence in the upper Paraná River region, Brazil

Fig. 2. Average abundance of R. quelen larvae by spawning period (a), month (b), and sampling station (c).

Fig. 3 in Larvae occurrences of Rhamdia quelen (Quoy & Gaimard, 1824) (Siluriformes: Heptapteridae) in an area under dam influence in the upper Paraná River region, Brazil

Fig. 3. Monthly density and per sampling stations of the larval development stages of Rhamdia quelen in Ilha Grande National Park.

Fig. 1 in Larvae occurrences of Rhamdia quelen (Quoy & Gaimard, 1824) (Siluriformes: Heptapteridae) in an area under dam influence in the upper Paraná River region, Brazil

Fig. 1. Location of sampling stations (black dots). (1: Bandeirantes right channel; 2: Amambaí; 3: Triângulo; 4: Porto Santo Antônio; 5: Peruzzi; 6: Paraná/Iguatemi; 7: Iguatemi; 8: Paraná/Saraiva; 9: Saraiva middle; 10: Saraiva channel; 11: Ilha Grande right channel; 12: Bandeirantes left channel; 13: Ilha Grande Pontal; 14: Alvarenga; 15: Esmeralda; 16: Três Coqueiros; 17: São João; 18: Porto Luiz; 19 Porto Cerâmica; 20: Piquiri; 21: Porto Terra Roxa; 22: Ilha Grande left channel).

Fig. 2 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Fig. 2. Detrended Correspondence Analysis (DCA) (biplot) considering the fish species of each stretch and the different trophic categories in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil. Acronym of the species in the Table III.

Fig. 3 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Fig. 3. Importance of trophic guilds (in numeric abundance and biomass) by stretch (lotic, transition, and lentic) of Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.

Fig. 4 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Fig. 4. Proportion of the resources used by the species in the three studied zones in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil: 1, Lotic; 2, Transition; 3, Lentic.

Figs 5-7 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Figs 5-7. Trophic interactions networks built with fish species (black) and resources consumed (gray): Fig. 5, Stretch 1 (lotic); Fig. 6, Stretch 2 (transition) and Fig. 7, Stretch 3 (lentic) in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.

Fig. 1 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region

Fig. 1. Map of Jurumirim Reservoir (Upper Paranapanema River, state of São Paulo, Brazil) indicating the three samplings zones.

Fig. 4 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances

Fig. 4. Repletion Index (righ) and condition factor (left) of the analysed species from Iguaçu River in the Salto Caxias Reservoir influence, before and after damming and sites (RE - reservoir region; DO - downstream; UP - upstream from the Iguaçu River; TL - tributaries lower section; TU - tributaries upper section). Vertical bars= standard error.

Fig. 3 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances

Fig. 3. Piscivory (%) and mean condition factor of the analysed species from Iguaçu River in the Salto Caxias Reservoir influence, before and after damming and sites (RE - reservoir region; DO - downstream; UP - upstream from the Iguaçu River; TL - tributaries lower section; TU - tributaries upper section). Vertical bars= standard error.

Fig. 2 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances

Fig. 2. Median abundance (Capture per unit effort - CPUE; unit: number of individuals/1,000 m² of nets set for 24 h) of the most consumed prey and analysed species from Iguaçu River in the Salto Caxias Reservoir area of influence, before and after damming (RE - reservoir region; DO - downstream; UP - upstream from the Iguaçu River; TL - tributaries lower section; TU - tributaries upper section). Vertical bars=Min and Max values.

Fig. 1 in Effects of river damming in Neotropical piscivorous and omnivorous fish: feeding, body condition and abundances

Fig. 1. Location of the sample stations in the Iguaçu River and the dam influence area. a) Before damming. b) After damming. [Point 1-2 = upstream from the Iguaçu river (UP); point 3 = reservoir region (RE); point 4 = downstream (DO); 5-9 = tributaries low section (TL); 10-14= tributaries upper section (TU)].