Using CASIMIR-VEGETATION Model in the context of modeling riparian woods and fish species to support a holistic approach for environmental flows to be used on river management and conservation

Autores

  • Rui Pedro Rivaes Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa
  • António Nascimento Pinheiro Instituto de Investigação e Inovação em Engenharia Civil para a Sustentabilidade (CERis), Instituto Superior Técnico, Universidade de Lisboa
  • Gregory Egger Environmental Consulting Klagenfurt
  • Maria Teresa Ferreira Centro de Estudos Florestais (CEF), Instituto Superior de Agronomia, Universidade de Lisboa

DOI:

https://doi.org/10.9771/gesta.v4i1.14292

Resumo

The CASiMiR-vegetation model is a software that recreates the physical processes influencing the survival and recruitment of riparian vegetation, based on the relationship between ecologically relevant flow regime components and riparian vegetation metrics that reflect the vegetation’s responses to flow regime change. Working at a flow response guild level, this tool outperforms equivalent models by overriding various restrictions of the conventional modeling approaches. The potential of the CASiMiR-vegetation model is revealed in its application to different case studies during the development of a holistic approach to determine environmental flows in lowland Mediterranean rivers, based on woody riparian vegetation and fish species. Various modeling circumstances are described where CASiMiR-vegetation model was used with the purpose of sustaining the research addressing the thesis objectives. The main findings already accomplished in this research are highlighted to illustrate the outcomes that can be attained from the use of such a model.

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Publicado

2016-12-14

Como Citar

Rivaes, R. P., Pinheiro, A. N., Egger, G., & Ferreira, M. T. (2016). Using CASIMIR-VEGETATION Model in the context of modeling riparian woods and fish species to support a holistic approach for environmental flows to be used on river management and conservation. Revista Eletrônica De Gestão E Tecnologias Ambientais, 4(1), 01–17. https://doi.org/10.9771/gesta.v4i1.14292

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