Watercourse distance explains the taxonomic and functional composition of phytoplankton communities in tropical streams
Distância fluvial explica a composição taxonômica e funcional de comunidades fitoplanctônicas em riachos tropicais
Ana Clara Maciel David; João Carlos Nabout; Fabricio Barreto Teresa; Karine Borges Machado
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Referências
Allan, J.D., 2004. Landscapes and riverscapes: the influence of land use on stream ecosystems. Annu. Rev. Ecol. Evol. Syst. 35(1), 257-284.
American Public Health Association – APHA, 2005. Standard methods for the examination of water and wastewater. Washington: American Public Health Association.
Begon, M., Towsen, C.R., & Harper, J.L., 2007. Aplicações ecológicas no nível das comunidades e ecossistemas: manejo com base na teoria da sucessão, teias alimentares, funcionamento dos ecossistemas e biodiversidade. In: Begon, M., Towsen, C.R., & Harper, J.L., eds. Ecologia: de indivíduos a ecossistemas. Porto Alegre: Artmed, 752 p.
Beisner, B., Peres-Neto, P., Lindström, E., Barnett, B., & Longhi, M., 2006. The role of environmental and spatial processes in structuring lake communities from bacteria to fish. Ecology 87(12), 2985-2991. PMid:17249222.
Bengtsson, J., Baillie, S.R., & Lawton, J., 1997. Community variability increases with time. Oikos 78(2), 249-256.
Bergbusch, N.T., Hayes, N.M., Simpson, G.L., & Leavitt, P.R., 2021. Unexpected shift from phytoplankton to periphyton in eutrophic streams due to wastewater influx. Limnol. Oceanogr. 66(7), 2745-2761.
Bicudo, C.E.M., & Menezes, M., 2017. Gêneros de algas continentais do Brasil: chave para identificação e descrições. São Carlos: Rima, 3. ed., 552 p.
Bjørnstad, O.N., & Cai, J., 2016. Package ncf: Spatial nonparametric covariance functions. Retrieved in 2025, November 07, from
Blanchet, F.G., Legendre, P., & Borcard, D., 2008. Forward selection of explanatory variables. Ecology 89(9), 2623-2632. PMid:18831183.
Borges, P.P., Dias, M.S., Carvalho, F.R., Casatti, L., Pompeu, P.S., Cetra, M., Tejerina-Garro, L.F., Súarez, Y.R., Nabout, J.C., & Teresa, F.B., 2020. Stream fish metacommunity organisation across a Neotropical ecoregion: the role of environment, anthropogenic impact and dispersal-based processes. PLoS One 15(5), e0233733. PMid:32453798.
Bortolini, J.C., Pineda, A., Rodrigues, L.C., Jati, S., & Velho, L.F.M., 2017. Environmental and spatial process influencing phytoplankton biomass along a reservoirs-river-floodplain lakes gradient: a metacommunity approach. Freshw. Biol. 62(10), 1756-1767.
Bruggeman, J., 2011. A phylogenetic approach to the estimation of phytoplankton Traits 1. J. Phycol. 47(1), 52-65.
Camana, M., Dala-Corte, R.B., Collar, F.C., & Becker, F.G., 2022. Assessing the legacy of land use trajectories on stream fish communities of southern Brazil. Hydrobiologia 849(20), 4431-4446.
Carey, J.C., & Fulweiler, R.W., 2013. Watershed land use alters riverine silica cycling. Biogeochemistry 113(1-3), 525-544.
Chase, J.M., & Leibold, M.A., 2002. Spatial scale dictates the productivity biodiversity relationship. Nature 416(6879), 427-430. PMid:11919631.
Clune, J.W., Crawford, J.K., Chappel, W.T., & Boyer, E.W., 2020. Differential effects of land use on nutrient concentrations in streams of Pennsylvania. Environ. Res. Commun. 2(11), 115003.
Costa, A.P.T., Crossetti, L.O., Hartz, S.M., Becker, F.G., Hepp, L.U., Bohnenberger, J.E., Lima, M.S., & Schneck, F., 2020. Land cover is the main correlate of phytoplankton beta diversity in subtropical coastal shallow lakes. Aquat. Ecol. 54(4), 1015-1028.
da Silva, T.T., Bortolini, J.C., Iatskiu, P., Pilatti, M.C., Medeiros, G., Amaral, M.W.W., Guicho, R., & Bueno, N.C., 2024. Local environmental factors are the main drivers of phytoplankton biovolume in subtropical streams of Brazil. Sci. Total Environ. 926, 171663. PMid:38485007.
Dala‐Corte, R.B., Melo, A.S., Siqueira, T., Bini, L.M., Martins, R.T., Cunico, A.M., Pes, A.M., Magalhães, A.L.B., Godoy, B.S., Leal, C.G., Monteiro-Júnior, C.S., Stenert, C., Castro, D.M.P., Macedo, D.R., Lima-Junior, D.P., Gubiani, É.A., Massariol, F.C., Teresa, F.B., Becker, F.G., Souza, F.N., Valente-Neto, F., Souza, F.L., Salles, F.F., Brejão, G.L., Brito, J.G., Vitule, J.R.S., Simião-Ferreira, J., Dias-Silva, K., Albuquerque, L., Juen, L., Maltchik, L., Casatti, L., Montag, L., Rodrigues, M.E., Callisto, M., Nogueira, M.A.M., Santos, M.R., Hamada, N., Pamplin, P.A.Z., Pompeu, P.S., Leitão, R.P., Ruaro, R., Mariano, R., Couceiro, S.R.M., Abilhoa, V., Oliveira, V.C., Shimano, Y., Moretto, Y., Súarez, Y.R., & Roque, F.O., 2020. Thresholds of freshwater biodiversity in response to riparian vegetation loss in the Neotropical region. J. Appl. Ecol. 57(7), 1391-1402.
De Bie, T., De Meester, L., Brendonck, L., Martens, K., Goddeeris, B., Ercken, D., Hampel, H., Denys, L., Vanhecke, L., Van der Gucht, K., Van Wichelen, J., Vyverman, W., & Derclerck, S.A.J., 2012. Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms. Ecol. Lett. 15(7), 740-747. PMid:22583795.
Devercelli, M., Scarabotti, P., Mayora, G., Schneider, B., & Giri, F., 2016. Unravelling the role of determinism and stochasticity in structuring the phytoplanktonic metacommunity of the Paraná River floodplain. Hydrobiologia 764(1), 139-156.
Diniz-Filho, J.A.F., Siqueira, T., Padial, A.A., Rangel, T.F., Landeiro, V.L., & Bini, L.M., 2012. Spatial autocorrelation analysis allows disentangling the balance between neutral and niche processes in metacommunities. Oikos 121(2), 201-210.
Dodds, W.K., & Oakes, R.M., 2008. Headwater influences on downstream water quality. Environ. Manage. 41(3), 367-377. PMid:17999108.
Dray, S., Bauman, D., Blanchet, G., Borcard, D., Clappe, S., Guénard, G., Jombart, T., Larocque, G., Legendre, P., Madi, N., & Wagner, H.H., 2023. adespatial: Multivariate Multiscale Spatial Analysis. Retrieved in 2025, November 07, from
Dray, S., & Dufour, A., 2007. The ade4 Package: implementing the duality diagram for ecologists. J. Stat. Softw. 22(4), 1-20.
Dray, S., Legendre, P., & Peres-Neto, P.R., 2006. Spatial modelling: A comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Ecol. Modell. 196(3-4), 483-493.
Duarte, L.D.S., Debastiani, V.J., Carlucci, M.B., & Diniz-Filho, J.A., 2018. Analyzing community-weighted trait means across environmental gradients: should phylogeny stay or should it go? Ecology 99(2), 385-398. PMid:29121389.
Dudgeon, D., 2019. Multiple threats imperil freshwater biodiversity in the Anthropocene. Curr. Biol. 29(19), 960-967.
Eggers, S.L., Eriksson, B.K., & Matthiessen, B., 2012. A heat wave and dispersal cause dominance shift and decrease biomass in experimental metacommunities. Oikos 121(5), 721-733.
Elser, J.J., Bracken, M.E.S., Cleland, E.E., Gruner, D.S., Harpole, W.S., Hillebrand, H., Ngai, J.T., Seabloom, E.W., Shurin, J.B., & Smith, J.E., 2007. Global analysis of nitrogen and phosphorus limitation of primary producers in freshwater, marine and terrestrial ecosystems. Ecol. Lett. 10(12), 1135-1142. PMid:17922835.
Faquim, R.C.P., Teresa, F.B., Borges, P.P., Machado, K.M., & Nabout, J.C., 2022. Differential responses of fish assemblages to environmental and spatial factors are mediated by dispersal-related traits in Neotropical streams. Freshw. Sci. 41(4), 549-563.
Faraway, J., 2022. faraway: Functions and datasets for books by Julian faraway. R package version 1.0.8. Retrieved in 2025, November 07, from
Field, C.B., Behrenfeld, M.J., Randerson, J.T., & Falkowski, P., 1998. Primary production of the biosphere: integrating terrestrial and oceanic components. Science 281(5374), 237-240. PMid:9657713.
Gauch Junior, H.G., & Whittaker, R.H., 1972. Coenocline simulation. Ecology 53(3), 446-451.
Golterman, H.L., Clymo, R.S., & Ohnstad, A.M., 1978. Methods for physical and chemical analysis of freshwaters. Oxford: Blackwell Scientific Publication.
Griffith, D., & Peres-Neto, P., 2006. Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses. Ecology 87(10), 2603-2613. PMid:17089668.
Guiry, M.D., & Guiry, G.M., 2026. AlgaeBase [online]. Retrieved in 2025, November 07, from
Guo, K., Wu, N., Wang, C., Yang, D., He, Y., Luo, J., Chai, Y., Duan, M., Huang, X., & Riis, T., 2019. Trait dependent roles of environmental factors, spatial processes and grazing pressure on lake phytoplankton metacommunity. Ecol. Indic. 103, 312-320.
Hao, L., Zhang, Y., Shen, Y., Liu, Y., Gao, H., & Guo, P., 2024. Driving mechanism of land use and landscape pattern to phytoplankton and zooplankton community and their trophic interactions in river ecosystems. J. Environ. Manage. 370, 122691. PMid:39357447.
Harding, J.S., Benfield, E.F., Bolstad, P.V., Helfman, G.S., & Jones III, E.B.D., 1998. Stream biodiversity: the ghost of land use past. Proc. Natl. Acad. Sci. USA 95(25), 14843-14847. PMid:9843977.
Harrison, S., & Taylor, A.D., 1997. Empirical evidence for metapopulation dynamics. In: Hanski, I. & Gilpin, M. E., eds. Metapopulation biology: ecology, genetics, and evolution. San Diego: Academic Press, 27-42.
Heino, J., Melo, A.S., Siqueira, T., Soininen, J., Valanko, S., & Bini, L.M., 2015. Metacommunity organization, spatial extent and dispersal in aquatic systems: patterns, process and prospects. Freshw. Biol. 60(5), 845-869.
Hillebrand, H., Dürselen, C.D., Kirschtel, D., Pollingher, U., & Zohary, T., 1999. Biovolume calculation for pelagic and benthic microalgae. J. Phycol. 35(2), 403-424.
HilleRisLambers, J., Adler, P.B., Harpole, W.S., Levine, J.M., & Mayfield, M.M., 2012. Rethinking community assembly through the lens of coexistence theory. Annu. Rev. Ecol. Evol. Syst. 43(1), 227-248.
Hutchinson, G.E., 1957. Concluding remarks. CSH Symp. Quant. Biol., 22, 415-427.
Kruk, C., Devercelli, M., & Huszar, V.L.M., 2021. Reynolds Functional Groups: a trait- based pathway from patterns to predictions. Hydrobiologia 848(1), 113-129.
Kruk, C., Huszar, V.L.M., Peeters, E.T.H.M., Bonilla, S., Costa, L., Lürling, M., Reynolds, C.S., & Scheffer, M., 2010. A morphological classification capturing functional variation in phytoplankton. Freshw. Biol. 55(3), 614-627.
Lavorel, S.K., Grigulis, S., McIntyre, N.S.G., Williams, D., Garden, J., Dorrough, S., Berman, F., Quétier, A., Thebault, A.B., & Bonis, A., 2008. Assessing functional diversity in the field-methodology matters! Funct. Ecol. 22(1), 134-147.
Legendre, P., & Legendre, L., 2012. Numerical Ecology. Amsterdam: Elsevier Science.
Leibold, M., Holyoak, A.M., Mouquet, N., Amarasekare, P., Chase, J.M., Hoopes, M.F., Holt, R.D., Shurin, J.B., Law, R., Tilman, D., Loreau, M., & Gonzalez, A., 2004. The metacommunity concept: a framework for multi-scale community ecology. Ecol. Lett. 7(7), 601-613.
Lewis, W.M.J., Hamilton, S.K., Lasi, M.A., Rodríguez, M., & Saunders, J.M., 2000. Ecological determinism on the Orinoco floodplain. Bioscience 50(8), 681-692.
Lindström, E.S., & Langenheder, S., 2012. Local and regional factors influencing bacterial community assembly. Environ. Microbiol. Rep. 4(1), 1-9. PMid:23757223.
Litchman, E., & Klausmeier, C.A., 2008. Trait-based community ecology of phytoplankton. Annu. Rev. Ecol. Evol. Syst. 39(1), 615-639.
Litchman, E., Klausmeier, C.A., Schofield, O.M., & Falkowski, P.G., 2007. The role of functional traits and trade-offs in structuring phytoplankton communities: scaling from cellular to ecosystem level. Ecol. Lett. 10(12), 1170-1181. PMid:17927770.
Litchman, E., Pinto, P.T., Klausmeier, C.A., Thomas, M.K., & Yoshiyama, K., 2010. Linking traits to species diversity and community structure in phytoplankton. Hydrobiologia 653(1), 15-28.
Liu, J., Soininen, J., Han, B., & Declerck, S.J.A., 2013. Effects of connectivity, dispersal directionality and functional traits on the metacommunity structure of river benthic diatoms. J. Biogeogr. 40(12), 2238-2248.
Locke, A., 2024. Modelling relationships between land use and water quality using statistical methods: a critical and applied review. J. Environ. Manage. 362, 121290. PMid:38823300.
Loyola-Bartra, O., Landeiro, V.L., Dala-Corte, R.B., Hidalgo, M., & Penha, J., 2022. Historical processes explain fish diversity in the upper Amazon River basin. Hydrobiologia 849(16), 3449-3462.
Machado, K.B., Teresa, F.B., Vieira, L.C.G., Huszar, V.L.M., & Nabout, J.C., 2016. Comparing the effects of landscape and local environmental variables on taxonomic and functional composition of phytoplankton communities. J. Plankton Res. 38(5), 1334-1346.
Martiny, J.B.H., Bohannan, B.J.M., Brown, J.H., Colwell, R.K., Fuhrman, J.A., Green, J.L., Horner-Devine, M.C., Kane, M., Krumins, J.A., Kuske, C.R., Morin, P.J., Naeem, S., Ovreas, L., Reysenbach, A.L., Smith, V.H., & Staley, J.T., 2006. Microbial biogeography: putting microorganism on the map. Nat. Rev. Microbiol. 4(2), 102-112. PMid:16415926.
Maurer, B.A., 1999. Untangling ecological complexity: the macroscopic perspective. Chicago: University of Chicago Press.
Meier, S., & Soininen, J., 2014. Phytoplankton metacommunity structure in subarctic rock pools. Aquat. Microb. Ecol. 73(1), 81-91.
Moresco, G.A., Bortolini, J.C., Rodrigues, L.C., Jati, S., & Velho, L.F.M., 2020. A functional deconstructive approach to mixotrophic phytoplankton responds better to local, regional and biogeographic predictors than species. Austral Ecol. 45(2), 249-263.
Mouquet, N., & Loreau, M., 2003. Community patterns in source-sink metacommunities. Am. Nat. 162(5), 544-557. PMid:14618534.
Nascimento, D.T.F., & Novais, G.T., 2020. Clima do Cerrado: dinâmica atmosférica e características, variabilidades e tipologias climáticas. Élisée. Rev. Geogr. 9(2), e922021.
O’Brien, R.M., 2007. A caution regarding rules of thumb for variance inflaction factor. Qual. Quant. 41(5), 673-690.
Oksanen, J., Simpson, G., Blanchet, F., Kindt, R., Legendre, P., Minchin, P., O’Hara, R., Solymos, P., Stevens, M., Szoecs, E., Wagner, H., Barbour, M., Bedward, M., Bolker, B., Borcard, D., Carvalho, G., Chirico, M., De Caceres, M., Durand, S., Evangelista, H., FitzJohn, R., Friendly, M., Furneaux, B., Hannigan, G., Hill, M., Lahti, L., McGlinn, D., Ouellette, M., Ribeiro Cunha, E., Smith, T., Stier, A., Ter Braak, C., & Weedon, J., 2022. vegan: Community Ecology Package. R package version 2.6-4. Retrieved in 2025, November 07, from
Oliveira, P.H.F., Machado, K.B., Teresa, F.B., Carvalho, R.A., Tejerina-Garro, F.L., Carvalho, P., Ferragut, C., Melo, A.S., & Nabout, J.C., 2023. Spatial distance explains periphyton metacommunity structure of a neotropical stream network. Hydrobiologia 850(8), 1869-1884.
Oliveira, P.H.F., Machado, K.B., Teresa, F.B., Heino, J., & Nabout, J.C., 2020. Spatial process determine planktonic diatom metacommunity structure of headwater streams. Limnologica 84, 125813.
Padial, A., Ceschin, F., Declerck, S.A.J., De Meester, L., Bonecker, C.C., Lansac-Tôha, F.A., & Bini, L.M., 2014. Dispersal ability determines the role of environmental, spatial and temporal drivers of metacommunity structure. PLoS One 9(10), e111227. PMid:25340577.
Parmar, T.K., Rawtani, D., & Agrawal, Y.K., 2016. Bioindicators: the natural indicator of environmental pollution. Front. Life Sci. 9(2), 110-118.
R Core Team, 2025. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved in 2025, November 07, from
Reynolds, C.S., 2000. Hydroecology of river plankton: the role of variability inchannel flow. Hydrol. Processes 14(16-17), 3119-3132.
Reynolds, C.S., 2006. Ecology of Phytoplankton. Cambridge: Cambridge University Press.
Ribeiro, J.F., Sano, S.M., Macêdo, J., & Silva, J.A., 1983. Os principais tipos fitofisionômicos da região dos Cerrados. Planaltina, DF: Embrapa-CPAC. Boletim de Pesquisa.
Rocha, B.S., Souza, C., Machado, K.B., & Nabout, J.C., 2020. The relative influence of the environment, land use and space on the functional and taxonomic structures of phytoplankton and zooplankton metacommunities in tropical reservoirs. Freshw. Sci. 39(2), 321-333.
Rodrigues, L.C., Simões, N.R., Bovo-Scomparin, V.M., Jati, S., Santana, N.F., Roberto, M.C., & Train, S., 2015. Phytoplankton alpha diversity as an indicator of environmental changes in a neotropical floodplain. Ecol. Indic. 48, 334-341.
Rusanov, A.G., Bíró, T., Kiss, K.T., Buczkó, K., Grigorszky, I., Hidas, A., & Ács, E., 2022. Relative importance of climate and spatial processes in shaping species composition, functional structure and beta diversity of phytoplankton in a large river. Sci. Total Environ. 807(Pt 2), 150891. PMid:34637877.
Salmaso, N., & Tolotti, M., 2021. Phytoplankton and anthropogenic changes in pelagic environments. Hydrobiologia 848(1), 251-284.
Sharma, R.C., Singh, N., & Chauhan, A., 2016. The influence of physico-chemical parameters on phytoplankton distribution in a head water stream of Garhwal Himalayas: a case study. Egypt. J. Aquat. Res. 42(1), 11-21.
Silva, M.L.D., Camargo, P.B., McDowell, W.H., Vieira, I., Salomão, M.S.M.B., & Martinelli, L.A., 2012. Influence of land use changes in water chemistry in streams in the state of São Paulo, southeast Brazil. Ana. Acad. Bras. Ciênc. 84(4), 919-930.
Siqueira, T., Lacerda, C.G., & Saito, V.S., 2015. How does landscape modification induce biological homogenization in tropical stream communities? Biotropica 47(4), 509-516.
Siqueira, T.S., Pessoa, L.A., Vieira, L., Cionek, V.M., Singh, S.K., Benedito, E., & Couto, E.V., 2023. Evaluating land use impacts on water quality: perspectives for watershed management. Sustain. Water Resour. Manag. 9(6), 192.
Soininen, J., Korhonen, J.J., Karhu, J., & Vetterli, A., 2011. Disentangling the spatial patterns in community composition of prokaryotic and eukaryotic lake plankton. Limnol. Oceanogr. 56(2), 508-520.
Tucci, A., Sant’Anna, C.L., Azevedo, M.T.P., Malone, C.F.S., Werner, V.R., Rosini, E.F., Gama, W.A., Hentschke, G.S., Osti, J.A.S., Dias, A.S., Jacinavicius, F.R., & Santos, K.R.S., 2019. Atlas de cianobactérias e microalgas continentais brasileiras. São Paulo: Instituto de Botânica, 2. ed., 233 p.
Utermöhl, H., 1958. Zurvervoll kommung der continuous phytoplankton-methodik. Mitt. -. Int. Ver. Theor. Angew. Limnol. 9, 1-38.
Vollenweider, R.A., 1974. A manual on methods for measuring primary production in aquatic environments. London: Blackwell Scientific Publications.
Weithoff, G., 2003. The concepts of ‘plant functional types’ and ‘functional diversity’ in lake phytoplankton – a new understanding of phytoplankton ecology. Freshw. Biol. 48(9), 1669-1675.
Zeng, C., Xing, R., Huang, B., Cheng, X., Shi, W., & Liu, S., 2023. Phytoplankton in headwater streams: spatiotemporal patterns and underlying mechanisms. Front. Plant Sci. 14, 1276289. PMid:37941677.
Submetido em:
07/11/2025
Aceito em:
02/07/2026
Publicado em:
22/09/2026
