Utilize este identificador para referenciar este registo: http://hdl.handle.net/10348/4342
Título: The Use of Stochastic Models as a Management Tool in a Shallow Temperate Estuary of South Europe (Mondego, Portugal). Chapter 5.
Autor: Silva-Santos, Pedro
Lopes, Ricardo Jorge
Múria, Tiago
Medeiros, Joana
Cardoso, Patricia
Dolbeth, Mariana
Pardal, Miguel Ângelo
Cabral, João Alexandre
Palavras-chave: Stochastic Models
Management Tool
Estuary
South Europe
Mondego
Portugal
Data: 2011
Editora: Robert S. Pirog (Ed)
Citação: Silva-Santos P. et al, 2011
Resumo: A long-term monitoring program has been carried out since the early 1990's in the Mondego estuary, on Portugal's west coast, which is presently under heavy human pressure. Likewise other coastal systems worldwide, the Mondego estuary has been exhibiting clear evidence of eutrophication as a result of nutrient loading from several industries and agricultural run-off, mainly from rice fields. In this shallow warmtemperate estuary, a significant macroalgal proliferation was observed, which represented a clear sign of nutrient enrichment. As a consequence of the eutrophication process, the seagrass meadows (mainly Zostera noltii) almost disappeared, reducing in extent from 15 ha in the early 1980's to 0.02 ha in the mid-1990's. The increase ofmacroalgal biomass and shift of other primary producers resulting from eutrophication had profound effects on estuarine trophic chain. In 1998, some mitigation measures were implemented aiming the recover of the Zostera noltii meadows. The hydraulic regime was improved and nutrient loadings from upstream agricultural areas were minimised due to better management and appropriate sluice handling. Management of coastal and estuarine systems has an increasing need for tools capable to relate environmental variables and system parameters with external factors that affect those systems. In this scope, the need for rapid, standardized and cost-saving assessment methodologies is crucial. This study examined the applicability of stochastic models in predicting the interactions between conceptually isolated key-components, such as primary producers ( macroalgae and seagrass ), some relevant benthic macroinvertebrates, wading birds and changes in local physicochemical conditions. Overall, the simulation results are encouraging since they seem to demonstrate the models reliability in capturing the trophic dynamics of the studied estuary, by predicting the behavioural pattern for the most part of the components selected under very complex and variable environmental scenarios, with a focus on the Zostera noltii meadows recovery after the implementation of important management measures. The ultimate objective is to encourage the discussion about the development and use of stochastic models from which management strategies can be designed to restore coastal ecosystems ftmctions and biological communities that have been damaged by anthropogenic disturbances.
Revisão por Pares: yes
URI: http://hdl.handle.net/10348/4342
ISBN: 978-1-61761-987-8
Tipo de Documento: Parte de Livro
Aparece nas colecções:DEBA - Capítulo ou Parte de Livro

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