caa a22 4500 606226885 CHVBK 20210128101155.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s10641-014-0288-x doi (NATIONALLICENCE)springer-10.1007/s10641-014-0288-x Fish community structure as an indicator of the long-term effects of the damming of an Amazonian river [Elektronische Daten] [Júlio Sá-Oliveira, Victoria Isaac, Stephen Ferrari] In order to provide guidelines for the management of fish stocks in artificial reservoirs in the Amazon region, the present study analyzed the composition and structure of the fish communities of four sectors (upstream, lake, reservoir, and downstream) of the area affected by the Coaracy Nunes hydroelectric reservoir on the Araguari River in the Brazilian state of Amapá. Variation in ecological parameters was analyzed in the context of the impacts suffered since the damming of the river approximately 40years ago. Standardized samples of fish were collected in gillnets during eight campaigns in 2009 and 2010. Abundance and biomass were initially evaluated by Analysis of Variance (ANOVA), and lognormal, log-series, geometric series, and broken stick models were then calculated. The K-dominance and Abundance-Biomass (ABC) curves were also analyzed, together with the size-spectrum of the specimens. The results indicated that the sector downstream from the dam had the highest species richness, and was most consistent with the broken stick model. The ABC and K-dominance analyses also confirmed that this sector was the most balanced, in ecological terms. The lake sector had the only community that fitted the geometric series model, and all the analyses indicated a predominance of small individuals, typical of impacted communities. The analyses of the reservoir sector indicated a disturbed environment, whereas the upstream sector was characterized by a more balanced community, reflecting its greater resilience to the impacts caused by the reservoir, and its potential of this area for the conservation of local fish communities. The results also confirmed the applicability of the analytical tools employed for the study of fish communities in reservoir environments. Springer Science+Business Media Dordrecht, 2014 Fish community nationallicence Species richness nationallicence Indicator nationallicence Environmental impact nationallicence Amazonia nationallicence Reservoir nationallicence Sá-Oliveira Júlio Ichthyology and Limnology Laboratory, Federal University of Amapá, Macapá, AP, Brazil aut Isaac Victoria Fisheries Biology Laboratory, Federal University of Pará, Belém, PA, Brazil aut Ferrari Stephen Laboratory of Conservation Biology, Department of Ecology, Federal University of Sergipe, São Cristóvão, SE, Brazil aut Environmental Biology of Fishes Springer Netherlands 98/1(2015-01-01), 273-286 0378-1909 98:1<273 2015 98 10641 https://doi.org/10.1007/s10641-014-0288-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10641-014-0288-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sá-Oliveira Júlio Ichthyology and Limnology Laboratory, Federal University of Amapá, Macapá, AP, Brazil aut NATIONALLICENCE 700 1- Isaac Victoria Fisheries Biology Laboratory, Federal University of Pará, Belém, PA, Brazil aut NATIONALLICENCE 700 1- Ferrari Stephen Laboratory of Conservation Biology, Department of Ecology, Federal University of Sergipe, São Cristóvão, SE, Brazil aut NATIONALLICENCE 773 0- Environmental Biology of Fishes Springer Netherlands 98/1(2015-01-01), 273-286 0378-1909 98:1<273 2015 98 10641