Abstract
The results of recent theoretical studies suggest that food webs are size-structured, with top predators coupling across different energy sources. However, evidence supporting this hypothesis is still scarce, especially in highly diverse tropical rivers. In the present study, we explored the association between body size, trophic position, and the use of allochthonous and autochthonous basal production sources in the Volta Grande rapids of the Xingu River, a major clearwater tributary of the Amazon River, during the period prior to operation of the Belo Monte Hydropower Plant (BMHP). This section of the river contains a maze of channels with rocky shoals that support dozens of endemic fishes, mollusks and other aquatic taxa that may be impacted by flow regulation by the Pimental Dam located upstream. During the low-water season, we surveyed fish, crustaceans, mollusks, sponges, aquatic and terrestrial insects, zooplankton, and basal production sources to obtain tissue samples for analysis of stable isotope ratios of carbon (δ13C) and nitrogen (δ15N). The results indicated that the biomass of most aquatic organisms appears to be largely supported by riparian vegetation, highlighting the importance of the lateral connectivity between aquatic and terrestrial habitats. In contrast to expectation, we did not observe a gradual increase in the coupling of energy pathways with increasing body size and trophic position. These findings provide a baseline for the trophic ecology of this river under the natural flow regime that can be used for future impact assessments, and they also indicate that more complex food web models, potentially including additional functional traits (e.g., gut length) are needed to describe resource and habitat use in highly diverse tropical ecosystems.
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References
Agostinho AA, Pelicice FM, Gomes LC (2008) Dams and the fish fauna of the Neotropical region: impacts and management related to diversity and fisheries. Braz J Biol 68:1119–1132. https://doi.org/10.1590/S1519-69842008000500019
Agostinho AA, Gomes LC, Santos NC, Ortega JC, Pelicice FM (2016) Fish assemblages in neotropical reservoirs: colonization patterns, impacts and management. Fish Res 173:26–36. https://doi.org/10.1016/j.fishres.2015.04.006
Anderson EP, Jenkins CN, Heilpern S, Maldonado-Ocampo JA, Carvajal-Vallejos FM, Encalada AC, Rivadeneira JF, Hidalgo M, Cañas CM, Ortega H, Salcedo N, Maldonado M, Tedesco PA (2018) Fragmentation of Andes-to-Amazon connectivity by hydropower dams. Sci Adv 4(1):eaao1642. https://doi.org/10.1126/sciadv.aao1642
Andrade MC, Fitzgerald DB, Winemiller KO, Barbosa PS, Giarrizzo T (2019) Trophic niche segregation among herbivorous serrasalmids from rapids of the lower Xingu River, Brazilian Amazon. Hydrobiologia. https://doi.org/10.1007/s10750-018-3838-y
Arantes CC, Fitzgerald DB, Hoeinghaus DJ, Winemiller KO (2019) Impacts of hydroelectric dams on fishes and fisheries in tropical rivers through the lens of functional traits. Curr Opin Environ Sustain 37:28–40. https://doi.org/10.1016/j.cosust.2019.04.009
Bastos RF, Corrêa F, Winemiller KO, Garcia AM (2017) Are you what you eat? Effects of trophic discrimination factors on estimates of food assimilation and trophic position with a new estimation method. Ecol Ind 75:234–241. https://doi.org/10.1016/j.ecolind.2016.12.007
Bayley P, Petrere Jr M (1989) Amazon fisheries: assessment methods, current status and management options. Canadian Spec Publn Fish Aquat Sci 106:385
Begossi A, Salivonchyk SV, Hallwass G, Hanazaki N, Lopes PFM, Silvano RAM, Dumaresq D, Pittock J (2018) Fish consumption on the Amazon: a review of biodiversity, hydropower and food security issues. Brazilian J Biol 79:345–357
Camargo M, Giarrizzo T, Isaac VJ (2015) Population and biological parameters of selected fish species from the middle Xingu River, Amazon Basin. Brazilian J Biol 75(3):S112–S124. https://doi.org/10.1590/1519-6984.01914BM
Capitani L, Angelini R, Keppeler FW, Hallwass G, Silvano RAM (2021) Food web modeling indicates the potential impacts of increasing deforestation and fishing pressure in the Tapajós River, Brazilian Amazon. Regional Environ Change 21(2):1–12. https://doi.org/10.1007/s10113-021-01777-z
Castro-Diaz L, Lopez MC, Moran E (2018) Gender-differentiated impacts of the Belo Monte hydroelectric dam on downstream fishers in the Brazilian Amazon. Hum Ecol 46(3):411–422. https://doi.org/10.1007/s10745-018-9992-z
Correa SB, Winemiller K (2018) Terrestrial–aquatic trophic linkages support fish production in a tropical oligotrophic river. Oecologia 186(4):1069–1078. https://doi.org/10.1007/s00442-018-4093-7
Dawson TE, Siegwolf R (2011) Stable isotopes as indicators of ecological change. Elsevier, Academic Press, Cambridge
Estes JA, Terborgh J, Brashares JS, Power ME, Berger J, Bond WJ, Carpenter SR, Essington TE, Holt RD, Jackson JBC, Marquis RJ, Oksanen L, Oksanen T, Paine RT, Pikitch EK, Ripple WJ, Sandin SA, Scheffer M, Schoener TW, Shurin JB, Sinclair ARE, Soulé ME, Virtanen R, Wardle DA (2011) Trophic downgrading of planet Earth. Science 333(6040):301–306
Fitzgerald DB, Sabaj-Pérez MH, Sousa LM, Gonçalves AP, Rapp Py-Daniel L, Lujan NK, Zuanon J, Winemiller KO, Lundberg JG (2018) Diversity and community structure of rapids-dwelling fishes of the Xingu River: Implications for conservation amid large-scale hydroelectric development. Biolo Conserv 222(August 2017):104–112. https://doi.org/10.1016/j.biocon.2018.04.002
Frederico RG, Olden JD, Zuanon J (2016) Climate change sensitivity of threatened, and largely unprotected, Amazonian Fishes. Aquatic Conserv 26(2):91–102. https://doi.org/10.1002/aqc.2658
González-Bergonzoni I, D’Anatro A, Vidal N, Stebniki S, Tesitore G, Silva I, Teixeira de Mello F (2019) Origin of fish biomass in a diverse subtropical river: an allochthonic-supported biomass increase following flood pulses. Ecosystems 22(8):1736–1753. https://doi.org/10.1007/s10021-019-00370-0
Géry J (1977) Characoids of the world. T.F.H. Publications, New Jersey, pp 672
Goulding M (1980) The fishes and the forest. University of California Press, Berkeley
Goulding M, Carvalho ML, Ferreira EG (1988) Rio Negro, rich life in poor water. SPB Academic Publishing, Amsterdam
Goulding M, Barthem R, Ferreira E (2003) The Smithsonian atlas of the Amazon. Smithsonian Books, Washington DC
Hoeinghaus DJ, Winemiller KO, Agostinho AA (2007) Landscape-scale hydrologic characteristics differentiate patterns of carbon flow in large-river food webs. Ecosystems 10(6):1019–1033. https://doi.org/10.1007/s10021-007-9075-2
Hussey NE, Macneil MA, Mcmeans BC, Olin JA, Dudley SFJ, Cliff G, Wintner SP, Fennessy ST, Fisk AT (2014) Rescaling the trophic structure of marine food webs. Ecol Lett 17(2):239–250. https://doi.org/10.1111/ele.12226
Isaac VJ, Almeida MCD, Cruz REA, Nunes LG (2015) Artisanal fisheries of the Xingu River basin in Brazilian Amazon. Brazilian J Biol 75:125-137
Jackson AT, Adite A, Roach KA, Winemiller KO (2013) Fish assemblages of an African river floodplain: a test of alternative models of community structure. Ecol Freshw Fish 22(2):295–306. https://doi.org/10.1111/eff.12026
Jiang X, Lu D, Moran E, Calvi MF, Dutra LV, Li G (2018) Examining impacts of the Belo Monte hydroelectric dam construction on land-cover changes using multitemporal Landsat imagery. Appl Geogr 97:35–47. https://doi.org/10.1016/j.apgeog.2018.05.019
Junk WJ, Bayley PB, Sparks RE (1989) The flood pulse concept in river-floodplain systems. Can Spec Publ Fish Aquat Sci 106(1):110–127
Keppeler FW, Montaña CG, Winemiller KO (2020) The relationship between trophic level and body size in fishes depends on functional traits. Ecol Monogr 90(4):e01415. https://doi.org/10.1002/ecm.1415
Keppeler FW, Andrade MC, Trindade PA, Sousa LM, Arantes CC, Winemiller KO, Jensen OP, Giarrizzo T (2022) Early impacts of the largest Amazonian hydropower project on fish communities. Sci Total Environ 838(2):155951. https://doi.org/10.1016/j.scitotenv.2022.155951
Keys AB (1928) The weight-length relationship in fishes. Proc Nat Acad Sci USA 14:922–925
Layman CA, Winemiller KO, Arrington DA, Jepsen DB (2005) Body size and trophic position in a diverse tropical food web. Ecology 86(9):2530–2535. https://doi.org/10.1890/04-1098
Layman CA, Arrington DA, Montaña CG, Post DM (2007) Can stable isotope ratios provide for communitywide measures of trophic structure? Ecology 88:42–48. https://doi.org/10.1890/0012-9658(2007)88[42:csirpf]2.0.co;2
Lees AC, Peres CA, Fearnside PM, Schneider M, Zuanon JA (2016) Hydropower and the future of Amazonian biodiversity. Biodivers Conserv 25:451–466. https://doi.org/10.1007/s10531-016-1072-3
Lowe-Mcconnell R (1987) Ecological studies in tropical fish communities. Cambridge University Press, London
Lujan NK, German DP, Winemiller KO (2011) Do wood-grazing fishes partition their niche?: morphological and isotopic evidence for trophic segregation in Neotropical Loricariidae. Funct Ecol 25(6):1327–1338. https://doi.org/10.1111/j.1365-2435.2011.01883.x
Maavara T, Lauerwald R, Regnier P, Van Cappellen P (2017) Global perturbation of organic carbon cycling by river damming. Nat Commun 8:15347. https://doi.org/10.1038/ncomms15347
Madigan DJ, Litvin SY, Popp BN, Carlisle AB, Farwell CJ, Block BA (2012) Tissue turnover rates and isotopic trophic discrimination factors in the endothermic teleost, pacific bluefin tuna (Thunnus orientalis). PLoS ONE 7:e49220. https://doi.org/10.1371/journal.pone.0049220
McCann KS (2011) Food webs (MPB-50). Princeton University Press, Princeton
McCann KS, Rasmussen JB, Umbanhowar J (2005) The dynamics of spatially coupled food webs. Ecol Lett 8:513–523. https://doi.org/10.1111/j.1461-0248.2005.00742.x
Mérona BD, Rankin-de-Mérona J (2004) Food resource partitioning in a fish community of the central Amazon floodplain. Neotropical Ichthyol 2:75–84
Mill AC, Pinnegar JK, Polunin NVC (2007) Explaining isotope trophic-step fractionation: why herbivorous fish are different. Funct Ecol 21(6):1137–1145.https://doi.org/10.1111/j.1365-2435.2007.01330.x
Nagelkerken I, Goldenberg SU, Ferreira CM, Ullah H, Connell SD (2020) Trophic pyramids reorganize when food web architecture fails to adjust to ocean change. Science 369(6505):829–832. https://doi.org/10.1126/science.aax0621
Ou C, Winemiller KO (2016) Seasonal hydrology shifts production sources supporting fishes in rivers of the Lower Mekong Basin. Can J Fish Aquat Sci 73(9):1342–1362. https://doi.org/10.1139/cjfas-2015-0214
Ou C, Montaña CG, Winemiller KO (2017) Body size–trophic position relationships among fishes of the lower Mekong basin. R Soc Open Sci 4(1):160645. https://doi.org/10.1098/rsos.160645
Peterson CC, Keppeler FW, Saenz DE, Bower LM, Winemiller KO (2017) Seasonal variation in fish trophic networks in two clear-water streams in the Central Llanos region, Venezuela. Neotropical Ichthyol 15:e160125. https://doi.org/10.1590/1982-0224-20160125
Planquette P, Keith P, Le Bail PY (1996) Atlas des poissons d’eau douce de Guyane (tome 1). Collection du Patrimoine naturel 22
Post DM, Layman CA, Arrington DA, Takimoto G, Quattrochi J, Montana CG (2007) Getting to the fat of the matter: models, methods and assumptions for dealing with lipids in stable isotope analyses. Oecologia 152(1):179–189. https://doi.org/10.1007/s00442-006-0630-x
Potapov AM, Tiunov AV, Scheu S (2019) Uncovering trophic positions and food resources of soil animals using bulk natural stable isotope composition. Biol Rev 94(1):37–59. https://doi.org/10.1111/brv.12434
Pringle C (2003) What is hydrologic connectivity and why is it ecologically important? Hydrological Processes 17(13):2685–2689
Quezada-Romegialli C, Jackson AL, Hayden B, Kahilainen KK, Lopes C, Harrod C (2018) tRophicPosition, an R package for the Bayesian estimation of trophic position from consumer stable isotope ratios. Methods Ecol Evol 9:1592–1599. https://doi.org/10.1111/2041-210X.13009
R Development Core Team (2020) R: A language and environment for statistical computing. http://www.r-project.org/. Electronic version. Accessed 27 Nov 2022
Reiswig HM, Frost TM, Ricciardi A (2010) Porifera. In: Ecology and classification of North American freshwater invertebrates. Academic Press, pp 91–123
Ribeiro HM, Morato JR (2020) Social environmental injustices against indigenous peoples: the Belo Monte dam. Dis Prev Manag 29(6):865–876. https://doi.org/10.1108/DPM-02-2020-0033
Rooney N, McCann KS, Moore JC (2008) A landscape theory for food web architecture. Ecol Lett 11(8):867–881. https://doi.org/10.1111/j.1461-0248.2008.01193.x
Sabaj-Pérez M (2015) Where the Xingu Bends and Will Soon Break. Am Sci 103(6):395–403. https://doi.org/10.1511/2015.117.395
Santos GM, Juras AA, Mérona BD, Jégu M (2004) Peixes do baixo rio Tocantins. 20 anos depois da Usina Hidrelétrica Tucuruí
Santos NCL, de Santana HS, Ortega JCG, Dias RM, Stegmann LF, da Silva Araujo IM, Severi W, Bini LM, Gomes LC, Agostinho AA (2017) Environmental filters predict the trait composition of fish communities in reservoir cascades. Hydrobiologia 802:245–253
Saunders DL, Meeuwig JJ, Vincent AC (2002) Freshwater protected areas: strategies for conservation. Conserv Biol 16(1):30–41. https://doi.org/10.1046/j.1523-1739.2002.99562.x
Sroczyńska K, Williamson TJ, Claro M, González-Pérez JA, Range P, Boski T, Chícharo L (2020) Food web structure of three Mediterranean stream reaches along a gradient of anthropogenic impact. Hydrobiologia 847:2357–2375
Steffan SA, Chikaraishi Y, Dharampal PS, Pauli JN, Guédot C, Ohkouchi N (2017) Unpacking brown food‐webs: animal trophic identity reflects rampant microbivory. Ecol Evol 7(10):3532–3541
Timpe K, Kaplan D (2017) The changing hydrology of a dammed Amazon. Sci Adv 3(11):e1700611
Tundisi JG, Goldemberg J, Matsumura-Tundisi T, Saraiva AC (2014) How many more dams in the Amazon? Energy Policy 74:703–708. https://doi.org/10.1016/j.enpol.2014.07.013
Varela JL, Larrañaga A, Medina A (2011) Prey-muscle carbon and nitrogen stable-isotope discrimination factors in Atlantic bluefin tuna (Thunnus thynnus). J Exp Mar Biol Ecol 406(1–2):21–28. https://doi.org/10.1016/j.jembe.2011.06.010
Villamarín F, Jardine TD, Bunn SE, Marioni B, Magnusson WE (2018) Body size is more important than diet in determining stable-isotope estimates of trophic position in crocodilians. Scientific Reports 8(1):2020
West JB, Bowen GJ, Cerling TE, Ehleringer JR (2006) Stable isotopes as one of nature’s ecological recorders. Trends Ecol Evol 21(7):408–414. https://doi.org/10.1016/j.tree.2006.04.002
Winemiller KO, Jepsen DB (1998) Effects of seasonality and fish movement on tropical river food webs. J Fish Biol 53:267–296
Winemiller KO, McIntyre PB, Castello L, FluetChouinard E, Giarrizzo T, Nam S, Baird IG, Darwall W, Lujan NK, Harrison I, Stiassny MLJ, Silvano RAM, Fitzgerald DB, Pelicice FM, Agostinho AA, Gomes LC, Albert JS, Baran E, Petrere MJ, Zarfl C, Mulligan M, Sullivan JP, Arantes CC, Sousa LM, Koning AA, Hoeinghaus DJ, Sabaj M, Lundberg JG, Armbruster J, Thieme ML, Petry P, Zuanon J, Vilara GT, Snoeks J, Ou C, Rainboth W, Pavanelli CS, Akama A, van Soesbergen A, Saenz L (2016a) Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong. Science 351:128–129. https://doi.org/10.1126/science.aac7082
Winemiller KO, Humphries P, Pusey BJ (2016b) Protecting large apex predators. In: Closs G, Krkosek M, Olden JD (eds) Conservation of freshwater fishes. Cambridge University Press, Cambridge, pp 361–398
Woodward G, Ebenman B, Emmerson M, Montoya JM, Olesen JM, Valido A, Warren PH (2005a) Body size in ecological networks. Trends Ecol Evol 20(7):402–409
Woodward G, Speirs DC, Hildrew AG, Hal C (2005b) Quantification and resolution of a complex, size-structured food web. Adv Ecol Res 36:85–135
Yang C, Wenger SJ, Rugenski AT, Wehrtmann IS, Connelly S, Freeman MC (2020) Freshwater crabs (Decapoda: Pseudothelphusidae) increase rates of leaf breakdown in a neotropical headwater stream. Freshw Biol 65(10):1673–1684
Zarfl C, Lumsdon AE, Berlekamp J, Tydecks L, Tockner K (2015) A global boom in hydropower dam construction. Aquat Sci 77(1):161–170. https://doi.org/10.1007/s00027-014-0377-0
Zarfl C, Berlekamp J, He F, Jähnig SC, Darwall W, Tockner K (2019) Future large hydropower dams impact global freshwater megafauna. Sci Rep 9:18531. https://doi.org/10.1038/s41598-019-54980-8
Zuluaga-Gómez MA, Fitzgerald DB, Giarrizzo T, Winemiller KO (2016) Morphologic and trophic diversity of fish assemblages in rapids of the Xingu River, a major Amazon tributary and region of endemism. Environ Biol Fishes 99(8–9):647–658. https://doi.org/10.1007/s10641-016-0506-9
Acknowledgements
MAZG, JC, and OL were funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) addressed to the Programa de Pós-Graduação em Ecologia Aquática e Pesca of the Federal University of Pará. KW acknowledges support from the US National Science Foundation (DEB 1257813 and IGERT 0654377) and the Estate of George and Carolyn Kelso via the International Sportfish Fund (KOW), and FWK acknowledges support from the Merit, Excellence, and Tom Slick fellowships from Texas A&M University. TG is funded by National Council for Scientific and Technological Development (CNPq #308528/2022-0). MCA received a grant from the “Centro de Triagem de Invertebrados” (UFPA/FADESP project #4390/ITV-DS project #R100603.CT.02). The study was funded by Norte Energia, Project P&D of the Agência Nacional de Energia Elétrica - ANEEL code PD-07427-0221/2021.
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Conceptualization: MCA, FWK, KW, TG. Developing methods: MCA, FWK. Data analysis: MCA, FWK. Preparation of figures and tables: MCA, FWK. Conducting the research, data interpretation, writing: MCA, FWK, MAZG, JWSC, OPL, RA, KW, TG.
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Andrade, M.C., Keppeler, F.W., Zuluaga-Gómez, M.A. et al. Food web structure in the Xingu River rapids prior to operation of the Amazon’s largest hydropower plant. Aquat Sci 85, 74 (2023). https://doi.org/10.1007/s00027-023-00971-x
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DOI: https://doi.org/10.1007/s00027-023-00971-x