Inferring population trends ofAraucaria angustifolia(Araucariaceae) using a transition matrix model in an old-growth forest
| Autor: | Adelar Mantovani, Giovani Festa Paludo, Maurício Sedrez dos Reis, Miguel B Lauterjung |
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| Rok vydání: | 2016 |
| Předmět: |
0106 biological sciences
education.field_of_study geography geography.geographical_feature_category Ecology Population Endangered species Araucariaceae Forestry Biology Old-growth forest biology.organism_classification 010603 evolutionary biology 01 natural sciences Critically endangered Abundance (ecology) education Matrix population models Araucaria 010606 plant biology & botany |
| Zdroj: | Southern Forests: a Journal of Forest Science. 78:137-143 |
| ISSN: | 2070-2639 2070-2620 |
| Popis: | Matrix population models may generate important information to prevent undesirable outcomes for endangered species. This is the case for Araucaria angustifolia, a Critically Endangered conifer, with little knowledge regarding its life history and trends in development over time. This study sought to investigate life-history trends of an A. angustifolia population in a subtropical forest in Santa Catarina, Brazil. Predictions based on the Lozenge regeneration model were established in order to determine if this model could predict changes in the species’ population dynamics: (1) the established individuals exhibit long persistence and (2) seedling and sapling abundance, as well as population descriptors, should exhibit behaviour that indicates one of the stages prescribed by the model. All A. angustifolia individuals were evaluated within a 5.1 ha plot at the study site over a six-year period. Lefkovitch’s transition model was used and population descriptors were calculated. Both predictions were fulfilled... |
| Databáze: | OpenAIRE |
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