| Titre : | Predicting loss and fragmentation of habitat of the vulnerable subtropical rainforest tree Macadamia integrifolia with models developed from compiled ecological data |
| Auteurs : | Michael Powell, Auteur ; Arnon Accad, Auteur ; Mike P. Austin, Auteur ; Samantha Low Choy, Auteur ; Kristen J. Williams, Auteur ; Alison Shapcott, Auteur |
| Type de document : | Article |
| Dans : | Biological Conservation (143(6) JUN 2010) |
| Article en page(s) : | 1385-1396 |
| Langues: | Anglais |
| Résumé : | Habitat models are widely used in ecology, however there are relatively few studies of rare species, primarily because of a paucity of survey records and lack of robust means of assessing accuracy of modelled spatial predictions. We investigated the potential of compiled ecological data in developing habitat models for Macadamia integrifolia, a vulnerable mid-stratum tree endemic to lowland subtropical rainforests of southeast Queensland, Australia. We compared performance of two binomial models Classification and Regression Trees (CART) and Generalised Additive Models (GAM) with Maximum Entropy (MAX-ENT) models developed from (i) presence records and available absence data and (ii) developed using presence records and background data. The GAM model was the best performer across the range of evaluation measures employed, however all models were assessed as potentially useful for informing in situ conservation of M. integrifolia, A significant loss in the amount of M. integrifolia habitat has occurred (p |



