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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/20252
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Title: | Occurrence and abundance models of threatened plant species: Applications to mitigate the impact of hydroelectric power dams |
Authors: | Guarino, E.D.S.G. Barbosa, A. Márcia Waechter, J.L. |
Issue Date: | 2012 |
Citation: | Guarino, E.D.S.G.; Barbosa, A.M.; Waechter, J.L.Occurrence and abundance models of threatened plant species: Applications to mitigate the impact of hydroelectric power dams, Ecological Modelling, 230, 1, 22-33, 2012. |
Abstract: | Species occurrence and abundance models are important tools that can be used in biodiversity conservation,
and can be applied to predict or plan actions needed to mitigate the environmental impacts of
hydropower dams. In this study our objectives were: (i) to model the occurrence and abundance of threatened
plant species, (ii) to verify the relationship between predicted occurrence and true abundance, and
(iii) to assess whether models based on abundance are more effective in predicting species occurrence
than those based on presence–absence data. Individual representatives of nine species were counted
within 388 randomly georeferenced plots (10 m
×
50 m) around the Barra Grande hydropower dam reservoir
in southern Brazil. We modelled their relationship with 15 environmental variables using both
occurrence (Generalised Linear Models) and abundance data (Hurdle and Zero-Inflated models). Overall,
occurrence models were more accurate than abundance models. For all species, observed abundance was
significantly, although not strongly, correlated with the probability of occurrence. This correlation lost significance
when zero-abundance (absence) sites were excluded from analysis, but only when this entailed
a substantial drop in sample size. The same occurred when analysing relationships between abundance
and probability of occurrence from previously published studies on a range of different species, suggesting
that future studies could potentially use probability of occurrence as an approximate indicator
of abundance when the latter is not possible to obtain. This possibility might, however, depend on life
history traits of the species in question, with some traits favouring a relationship between occurrence
and abundance. Reconstructing species abundance patterns from occurrence could be an important tool
for conservation planning and the management of threatened species, allowing scientists to indicate the
best areas for collection and reintroduction of plant germplasm or choose conservation areas most likely
to maintain viable populations. |
URI: | http://hdl.handle.net/10174/20252 |
Type: | article |
Appears in Collections: | CIBIO-UE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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