Size-dependent response of tropical wetland fish communities to changes in vegetation cover and habitat connectivity
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The replacement of native vegetation by exotic grasses for livestock production is driving landscape homogenization, habitat fragmentation and reducing connectivity between habitat patches in floodplains ecosystems.
In this context we examined how changes in native and exotic vegetation cover, connectivity and water depth affect the attributes of the small [standard length (SL) < 80 mm as adults] and large-sized fish assemblages (SL ≥ 80 mm as adults).
We assessed the effects of water depth, exotic and native vegetation cover and habitat connectivity on the abundance, species richness, body size and biomass of fish assemblages in a 25 km2 area of the seasonal habitats of the Pantanal wetland over 5 years.
We showed that fish assemblage response to meso-scale variation in water depth, vegetation cover and habitat connectivity in seasonal habitats is size-dependent. The gradient from exotic to natural vegetation cover did not affect the assemblages of small-sized fish, which were mostly regulated by water depth, habitat connectivity and the gradient from grassland to forest. However, besides being affected by water depth and habitat connectivity, large-sized fish were also affected by the gradient from exotic to natural vegetation cover.
Our results indicate that transformations in the landscape and changes in the dynamics of inundation may have negative consequences for the long-term persistence of fish assemblages in the Pantanal wetlands.
KeywordsTemporary habitat Effective distance Landscape connectivity Exotic species Water depth Cattle ranching impacts Pantanal
We would like to thank the Pantanal Research Center for their financial support. We would also like to thank the National Council for Scientific and Technological Development (CNPq) for productivity grants given to Jansen Zuanon (Proc. 307464/2009-1) and the Postgraduate scholarship given to Izaias Fernandes. Our sincere thanks to S. Magela, M. Bini, F. Costa, W. E. Magnusson and C. E. C. Freitas and two anonymous referees for reviews of earlier versions of the manuscript that greatly improved it.
- Agostinho AA, Gomes LC, Zalewski M (2001) The importance of floodplains for the dynamics of fish communities of the upper river Paraná. Ecohydrol Hydrobiol 1:209–217Google Scholar
- Bolker B (2014) bblme: Tools for general maximum likelihood estimation. R package version 1.0.17Google Scholar
- Burnham KP, Anderson DR (2002) Model selection and multimodel inference. A practical information theoretic approach, 2nd edn. Springer, New YorkGoogle Scholar
- Dray S, Pélissier R, Couteron P, Fortin MJ, Legendre P, Peres-Neto PR, Bellier E, Bivand R, Blanchet FG, De Cáceres M, Dufour AB, Heegaard E, Jombart T, Munoz F, Oksanen J, Thioulouse J, Wagner HH (2012) Community ecology in the age of multivariate multiscale spatial analysis. Ecol Monogr 82(3):257–275Google Scholar
- ESRI (2006) ArcGIS 9.2. Environmental Systems Research Institute, Redlands, California, USAGoogle Scholar
- Etten JV (2012) gdistance: distances and routes on geographical grids. R package version 1.1-3. http://CRAN.R-project.org/package=gdistance
- Fantin-Cruz I, Girard P, Zeilhofer P, Collischonn W (2010b) Dinâmica de inundação. In: Fernandes IM, Signor CA, Penha J (eds) Biodiversidade no Pantanal de Poconé. Centro de Pesquisas do Pantanal, Cuiabá, pp 25–35Google Scholar
- Fernandes IM, Henriques-Silva R, Penha J, Zuanon J, Peres-Neto PR (2014) Spatiotemporal dynamics in a seasonal metacommunity structure is predictable: the case of floodplain-fish communities. Ecography 37:464–475Google Scholar
- Girard P (2011) Hydrology of surface and ground waters in the Pantanal floodplains. In: Junk WJ, da Silva CJ, Nunes da Cunha C, Wantzen KM (eds) The Pantanal: ecology, biodiversity and sustainable management of a large neotropical seasonal wetland. Pensoft Publishers, Sofia, pp 103–126Google Scholar
- Goulding M (1980) The fish and the forests—explorations in Amazonian natural history. California Academy Press, BerkeleyGoogle Scholar
- Harris MB, Arcangelo C, Pinto ECT, Camargo G, Ramos Neto MB, Silva SM (2005) Estimativas de perda da área natural da Bacia do Alto Paraguai e Pantanal Brasileiro. Relatório técnico, Conservação Internacional, Campo GrandeGoogle Scholar
- Hoffmann WA, Lucatelli VM, Silva FJ, Azeuedo INC, Marinho MS, Albuquerque AMS, Lopes AOL, Moreira SP (2004) Impact of the invasive alien grass Melinis minutiflora at the savanna-forest ecotone in the Brazilian Cerrado. Divers Distrib 10(2):99–103Google Scholar
- Junk WJ, Bayley PB, Sparks RS (1989) The flood pulse concept in river—floodplain systems. In: Dodge DP (ed) Proceedings of the international larger river symposium (LARS). Can J Fish Aquat Sci 106:110–127Google Scholar
- Junk WJ, Piedade MTF, Lourival R, Wittmann F, Kandus P, Lacerda LD, Bozelli RL, Esteves FA, Nunes da Cunha C, Maltchik L, Schöngart J, Schaeffer-Novelli Y, Agostinho AA (2014) Brazilian wetlands: their definition, delineation, and classification for research, sustainable management, and protection. Aquat Conserv 24(1):5–22Google Scholar
- Legendre P, Legendre LF (2012) Numerical ecology, vol 20. Elsevier, OxfordGoogle Scholar
- Magurran AE (2004) Measuring biological diversity. Blackwell Science, OxfordGoogle Scholar
- Nunes da Cunha C, Rebellato L, Costa CP (2010) Vegetação e flora: uma experiência pantaneira no sistema de grade. In: Signor C, Fernandes I, Penha J (eds) Biodiversidade no Pantanal de Poconé, vol 01. 1ed.Manaus, Attema, pp 37–57Google Scholar
- Penha JMF, Da Silva CJ, Bianchini Júnior I (1998) Análise do crescimento da macrófita aquática Pontederia lanceolata em área alágavel do Pantanal Mato-grossense, Brasil. Braz J Biol 58(2):287–300Google Scholar
- Prado AL, Heckman CW, Martins FR (1994) The seasonal succession of biotic communities in wetlands of the tropical wet-and-dry climatic zone: II. The aquatic macrophyte vegetation in the Pantanal of Mato Grosso, Brazil. Internatertionale Revue gesamten Hydrobiologie 79(4):569–589CrossRefGoogle Scholar
- Reis RE, Kullander O, Ferraris CJ Jr (2003) Check list of the freswater fishes of South and Central America. Edipucrs, Porto Alegre, p 742Google Scholar
- R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org/
- Schessl M (1999) Floristic composition and structure of floodplain vegetation in northern Pantanal of Mato Grosso, Brasil. Phyton 39(2):303–336Google Scholar
- Silva JSV, Seidl AF, Moraes AS (2000) Evolucao da agropecuaria do Pantanal Brasileiro, 1975–1985. EMBRAPA-CPAP, CorumbaGoogle Scholar
- Simberloff D, Martin JL, Genovesi P, Maris V, Wardle DA, Aronson J, Courchamp F, Galil B, García-Berthou E, Pascal M, Pysek P, Sousa R, Tabacchi E, Vilà M (2013) Impacts of biological invasions: what’s what and the way forward. Trends Ecol Evol 28(1):58–66Google Scholar
- Sokal RR, Rohlf JF (1995) Biometry: the principles and practice of statistics in biological research. W.H. Freeman, New YorkGoogle Scholar
- Taylor PD, Hafrig L, Henein K, Merriam G (1993) Connectivity as a vital element of landscape structure. Oikos 68(571):573Google Scholar
- Thomaz SM, Dibble ED, Evangelista LR, Higuti J, Bini LM (2008) Influence of aquatic macrophyte habitat complexity on invertebrate abundance and richness in tropical lagoons. Fresh Biol 53(2):358–367Google Scholar
- Zhao Q, Liu S, Deng L, Dong S, Yang Z, Yang J (2012) Landscape change and hydrologic alteration associated with dam construction. Int J Appl Earth Obs Geoinf 16:17–26Google Scholar