Data/hora: 24/06/2024 14:22:28

Biblioteca(s): | Embrapa Acre.
Data corrente: | 28/02/2012
Data da última atualização: | 06/07/2021
Autoria: | GUARINO, E. de S. G.; BARBOSA, A. M.; WAECHTER, J. L.
Afiliação: | ERNESTINO DE SOUZA GOMES GUARINO, CPAF-AC; ANA MÁRCIA BARBOSA, UNIVERSIDADE DE ÉVORA; JORGE LUIZ WAECHTER, IMPERIAL COLLEGE LONDON.
Título: | Occurrence and abundance models of threatened plant species: applications to mitigate the impact of hydroelectric power dams.
Ano de publicação: | 2012
Fonte/Imprenta: | Ecological Modelling, Maryland, v. 230, p. 22-33, Apr. 2012.
ISSN: | 0304-3800
DOI: | 10.1016/j.ecolmodel.2012.01.007
Idioma: | Inglês
Conteúdo: | 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.
Palavras-Chave: | Análisis estadístico; Barra Grande (RS); Biodiversidad; Energía hidroeléctrica; Madera tropical; Modelo de ocorrência e abundância; Pelotas (RS); Presence-absence model; Protección ambiental; Rio Grande do Sul.
Thesagro: | Análise estatística; Biodiversidade; Essência florestal; Hidrelétrica; Impacto ambiental; Proteção ambiental.
Thesaurus Nal: | Biodiversity; Environmental impact; Environmental protection; Hydroelectric power; Statistical analysis; Tropical wood.
Categoria do assunto: | F Plantas e Produtos de Origem Vegetal
Registro original: | Embrapa Acre (CPAF-AC)

Exemplares:

CPAF-AC - (24139-1) - UPC - AP - PP - SP 377 -  - 2012.00165 - DES
CPAF-AC - (24139-2) - UPC - AP - DD -  -  -  - DIS