4.5 Article

Occurrence and abundance models of threatened plant species: Applications to mitigate the impact of hydroelectric power dams

期刊

ECOLOGICAL MODELLING
卷 230, 期 -, 页码 22-33

出版社

ELSEVIER
DOI: 10.1016/j.ecolmodel.2012.01.007

关键词

Species reintroduction; In situ and ex situ plant conservation; Environmental assessment; Model validation

类别

资金

  1. Embrapa Recursos Geneticos e Biotecnologia
  2. Brazilian National Council for Scientific and Technological Development (CNPq) [proc. 140712/2007-0]
  3. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) [proc. 2298/09-0]
  4. Fundacao para a Ciencia e a Tecnologia (Portugal) [SFRH/BPD/40387/2007]
  5. Delta Cafes
  6. FCT project [PTDC/AAC-AMB/098163/2008]
  7. Fundação para a Ciência e a Tecnologia [SFRH/BPD/40387/2007, PTDC/AAC-AMB/098163/2008] Funding Source: FCT

向作者/读者索取更多资源

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 x 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. (C) 2012 Elsevier B.V. All rights reserved.

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