Improving methods in gap ecology: revisiting size and shape distributions using a model selection approach

Autor(es)

de Lima, Renato Augusto F. ^{[1, 2]} ; Prado, Paulo Inacio ^[1] ; Martini, Adriana Maria Z. ^[1] ; Fonseca, Leandro J. ^[3] ; Gandolfi, Sergius ^[4] ; Rodrigues, Ricardo R. ^[4]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Ecol, BR-05508090 Sao Paulo - Brazil

^[2] Univ Sao Paulo, Inst Biociencias, Programa Posgrad Ecol, BR-05508090 Sao Paulo - Brazil

^[3] Univ Estadual Paulista, Dept Ecol, BR-13506900 Rio Claro - Brazil

^[4] Univ Sao Paulo, Dept Ciencias Biol, BR-13018900 Piracicaba - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF VEGETATION SCIENCE; v. 24, n. 3, p. 484-495, MAY 2013.
• Citações Web of Science: 1

Resumo

Questions We assess gap size and shape distributions, two important descriptors of the forest disturbance regime, by asking: which statistical model best describes gap size distribution; can simple geometric forms adequately describe gap shape; does gap size or shape vary with forest type, gap age or the method used for gap delimitation; and how similar are the studied forests and other tropical and temperate forests? Location Southeastern Atlantic Forest, Brazil. Methods Analysing over 150 gaps in two distinct forest types (seasonal and rain forests), a model selection framework was used to select appropriate probability distributions and functions to describe gap size and gap shape. The first was described using univariate probability distributions, whereas the latter was assessed based on the gap areaperimeter relationship. Comparisons of gap size and shape between sites, as well as size and age classes were then made based on the likelihood of models having different assumptions for the values of their parameters. Results The log-normal distribution was the best descriptor of gap size distribution, independently of the forest type or gap delimitation method. Because gaps became more irregular as they increased in size, all geometric forms (triangle, rectangle and ellipse) were poor descriptors of gap shape. Only when small and large gaps (>100 or 400m2 depending on the delimitation method) were treated separately did the rectangle and isosceles triangle become accurate predictors of gap shape. Ellipsoidal shapes were poor descriptors. At both sites, gaps were at least 50% longer than they were wide, a finding with important implications for gap microclimate (e.g. light entrance regime) and, consequently, for gap regeneration. Conclusions In addition to more appropriate descriptions of gap size and shape, the model selection framework used here efficiently provided a means by which to compare the patterns of two different types of forest. With this framework we were able to recommend the log-normal parameters and sigma for future comparisons of gap size distribution, and to propose possible mechanisms related to random rates of gap expansion and closure. We also showed that gap shape varied highly and that no single geometric form was able to predict the shape of all gaps, the ellipse in particular should no longer be used as a standard gap shape. (AU)

• Processo FAPESP: 04/09554-0 - Estruturação espacial de quedas de árvores e relações com o padrão espacial de riqueza de espécies em diferentes formações vegetais do estado de São Paulo
• Beneficiário: Adriana Maria Zanforlin Martini
• Linha de fomento: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 99/09635-0 - Diversidade, dinâmica e conservação de árvores em florestas do estado de São Paulo: estudos em parcelas permanentes
• Beneficiário: Ricardo Ribeiro Rodrigues
• Linha de fomento: Auxílio à Pesquisa - Programa BIOTA - Temático