Hydrodynamics and seed dispersal in the lower Amazon.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086024 |
Resumo: | The transport of seeds by water, i.e. hydrochory, is a key mechanism of long-distance dispersal constrained by the attributes of the seed and hydrodynamics. In the freshwater Amazon estuary, river hydrodynamics are influenced by seasonal changes in precipitation and tidal cycles. It is not known to what extent a hydrodynamic model may be able to predict seed dispersal. Here we parameterised a simulation model (SisBaHia) to estimate maximum seed dispersal distances per tidal cycle, which were then compared with data from in situ seed dispersal experiments. The study was conducted along a 27-km stretch of a tributary of the Amazon estuary, using the seeds of a widely distributed riparian tree?Carapa guianensis (Meliaceae). Based on the simulation model, maximum potential seed dispersal distance was higher in the rainy season (c. 8.7 km) when compared with the dry season (5.6 km), for one tidal cycle (12 hr). The seeds of C. guianensis were dispersed further during the ebb than flood tide during the rainy season, the period of seed dispersal. Average dispersal distances observed in seed dispersal experiments conducted during the rainy season, and those predicted by SisBaHia for the same period were within the same order of magnitude. The results of this study confirm that the period of higher precipitation provides favourable hydrological conditions for hydrochory in the Amazon river-estuary complex. The fact that the time taken for the tide to fall is longer in relation to the time taken for it to rise also favours the arrival of the seeds in the main channel of the Amazon, thereby increasing the probability of long-distance dispersal events. |
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Hydrodynamics and seed dispersal in the lower Amazon.Long-distance dispersalModellingSimulationTidal riverCarapa guianensisThe transport of seeds by water, i.e. hydrochory, is a key mechanism of long-distance dispersal constrained by the attributes of the seed and hydrodynamics. In the freshwater Amazon estuary, river hydrodynamics are influenced by seasonal changes in precipitation and tidal cycles. It is not known to what extent a hydrodynamic model may be able to predict seed dispersal. Here we parameterised a simulation model (SisBaHia) to estimate maximum seed dispersal distances per tidal cycle, which were then compared with data from in situ seed dispersal experiments. The study was conducted along a 27-km stretch of a tributary of the Amazon estuary, using the seeds of a widely distributed riparian tree?Carapa guianensis (Meliaceae). Based on the simulation model, maximum potential seed dispersal distance was higher in the rainy season (c. 8.7 km) when compared with the dry season (5.6 km), for one tidal cycle (12 hr). The seeds of C. guianensis were dispersed further during the ebb than flood tide during the rainy season, the period of seed dispersal. Average dispersal distances observed in seed dispersal experiments conducted during the rainy season, and those predicted by SisBaHia for the same period were within the same order of magnitude. The results of this study confirm that the period of higher precipitation provides favourable hydrological conditions for hydrochory in the Amazon river-estuary complex. The fact that the time taken for the tide to fall is longer in relation to the time taken for it to rise also favours the arrival of the seeds in the main channel of the Amazon, thereby increasing the probability of long-distance dispersal events.ALAN CAVALCANTI DA CUNHA, Unifap; KAREN MUSTIN, Bolsista CPAF-AP; ELDO SILVA DOS SANTOS, Unifap; EWERTON WANDERSON GONCALVES DOS SANTOS, Unifap; MARCELINO CARNEIRO GUEDES, CPAF-AP; HELENILZA FERREIRA ALBUQUERQUE CUNHA, Unifap; PAULO CESAR COLONNA ROSMAN, COPPE; LEONEL DA SILVEIRA LOBO STERNBERG, University of Miami.CUNHA, A. C. daMUSTIN, K.SANTOS, E. S. dosSANTOS, E. W. G. dosGUEDES, M. C.CUNHA, H. F. A.ROSMAN, P. C. C.STERNBERG, L. da S. L.2018-01-23T00:34:55Z2018-01-23T00:34:55Z2018-01-2220172018-01-23T00:34:55Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFreshwater Biology, p. 1-9, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/108602410.1111/fwb.12982enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-01-23T00:35:02Zoai:www.alice.cnptia.embrapa.br:doc/1086024Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-01-23T00:35:02falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-01-23T00:35:02Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Hydrodynamics and seed dispersal in the lower Amazon. |
title |
Hydrodynamics and seed dispersal in the lower Amazon. |
spellingShingle |
Hydrodynamics and seed dispersal in the lower Amazon. CUNHA, A. C. da Long-distance dispersal Modelling Simulation Tidal river Carapa guianensis |
title_short |
Hydrodynamics and seed dispersal in the lower Amazon. |
title_full |
Hydrodynamics and seed dispersal in the lower Amazon. |
title_fullStr |
Hydrodynamics and seed dispersal in the lower Amazon. |
title_full_unstemmed |
Hydrodynamics and seed dispersal in the lower Amazon. |
title_sort |
Hydrodynamics and seed dispersal in the lower Amazon. |
author |
CUNHA, A. C. da |
author_facet |
CUNHA, A. C. da MUSTIN, K. SANTOS, E. S. dos SANTOS, E. W. G. dos GUEDES, M. C. CUNHA, H. F. A. ROSMAN, P. C. C. STERNBERG, L. da S. L. |
author_role |
author |
author2 |
MUSTIN, K. SANTOS, E. S. dos SANTOS, E. W. G. dos GUEDES, M. C. CUNHA, H. F. A. ROSMAN, P. C. C. STERNBERG, L. da S. L. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
ALAN CAVALCANTI DA CUNHA, Unifap; KAREN MUSTIN, Bolsista CPAF-AP; ELDO SILVA DOS SANTOS, Unifap; EWERTON WANDERSON GONCALVES DOS SANTOS, Unifap; MARCELINO CARNEIRO GUEDES, CPAF-AP; HELENILZA FERREIRA ALBUQUERQUE CUNHA, Unifap; PAULO CESAR COLONNA ROSMAN, COPPE; LEONEL DA SILVEIRA LOBO STERNBERG, University of Miami. |
dc.contributor.author.fl_str_mv |
CUNHA, A. C. da MUSTIN, K. SANTOS, E. S. dos SANTOS, E. W. G. dos GUEDES, M. C. CUNHA, H. F. A. ROSMAN, P. C. C. STERNBERG, L. da S. L. |
dc.subject.por.fl_str_mv |
Long-distance dispersal Modelling Simulation Tidal river Carapa guianensis |
topic |
Long-distance dispersal Modelling Simulation Tidal river Carapa guianensis |
description |
The transport of seeds by water, i.e. hydrochory, is a key mechanism of long-distance dispersal constrained by the attributes of the seed and hydrodynamics. In the freshwater Amazon estuary, river hydrodynamics are influenced by seasonal changes in precipitation and tidal cycles. It is not known to what extent a hydrodynamic model may be able to predict seed dispersal. Here we parameterised a simulation model (SisBaHia) to estimate maximum seed dispersal distances per tidal cycle, which were then compared with data from in situ seed dispersal experiments. The study was conducted along a 27-km stretch of a tributary of the Amazon estuary, using the seeds of a widely distributed riparian tree?Carapa guianensis (Meliaceae). Based on the simulation model, maximum potential seed dispersal distance was higher in the rainy season (c. 8.7 km) when compared with the dry season (5.6 km), for one tidal cycle (12 hr). The seeds of C. guianensis were dispersed further during the ebb than flood tide during the rainy season, the period of seed dispersal. Average dispersal distances observed in seed dispersal experiments conducted during the rainy season, and those predicted by SisBaHia for the same period were within the same order of magnitude. The results of this study confirm that the period of higher precipitation provides favourable hydrological conditions for hydrochory in the Amazon river-estuary complex. The fact that the time taken for the tide to fall is longer in relation to the time taken for it to rise also favours the arrival of the seeds in the main channel of the Amazon, thereby increasing the probability of long-distance dispersal events. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2018-01-23T00:34:55Z 2018-01-23T00:34:55Z 2018-01-22 2018-01-23T00:34:55Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Freshwater Biology, p. 1-9, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086024 10.1111/fwb.12982 |
identifier_str_mv |
Freshwater Biology, p. 1-9, 2017. 10.1111/fwb.12982 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1086024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503448300879872 |