Predicting the trends of vertebrate species richness as a response to wind farms installation in mountain ecosystems of northwest Portugal.
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2010
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The main objectives of this work were to examine the performance of a holistic stochastic dynamic
methodology (StDM) in predicting the trends of the vertebrate species richness (amphibians, reptiles,
birds and mammals) in response to changes induced by the ongoing wind farminstallation in mountain
areas of northwest Portugal. The StDM is a sequential modelling process developed in order to estimate
the ecological status of changed ecosystems that have been damaged by anthropogenic disturbances.
The performance of two complementary temporal approaches was tested, taking into account either
annual or seasonal influences. The data used in the dynamic model construction included true gradients
of environmental changes and was sampled from 2004 to 2006. The dynamic model developed was
preceded by a conventional multivariate statistical procedure performed to discriminate the significant
relationships between the selected ecological components, such as the species richness of each
vertebrate group and the structural changes in habitat conditions. The results show the capacity of the
model in capturing the dynamics of the studied system by predicting consistent trends for the global
vertebrate species richness under complex and variable environmental scenarios. The average annual
approach is considered sufficient for the aims of the most Environmental Impact Assessments while the
seasonal approach is recommended for more detailed studies, namely regarding specific population,
guilds or community dynamics.
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Stochastic dynamic methodology , Wind farms , Ecological integrity , Vertebrates , Ecological indicators , Species richness , Ecological Impact Assessments
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Santos M. et al, 2010