https://scholars.lib.ntu.edu.tw/handle/123456789/453364
標題: | Influences of temporal independence of data on modelling species distributions | 作者: | Ko C.-Y. Ko C.-J. Lin R.-S. PEI-FEN LEE |
公開日期: | 2013 | 卷: | 14 | 期: | 4 | 起(迄)頁: | 309-319 | 來源出版物: | Basic and Applied Ecology | 摘要: | Modelling species distributions has been widely used to understand present and future potential distributions of species, and can provide adaptation and mitigation information as references for conservation and management under climate change. However, various methods of data splitting to develop and validate functions of the models do not get enough attention, which may mislead the interpretation of predicted results. We used the Taiwanese endemic birds to test the influences of temporal independence of datasets on model performance and prediction. Training and testing data were considered to be independent if they were collected during different survey periods (1993-2004 and 2009-2010). The results indicated no significant differences of six model performance measures (AUC, kappa, TSS, accuracy, sensitivity, and specificity) among the combinations of training and testing datasets. Both species- and grid cell-based assessments differed significantly between predictions by the annual and pooled training data. We also found an average of 85.8% similarity for species presences and absences in different survey periods. The remaining dissimilarity was mostly caused by species observed in the late survey period but not in the early one. The method of data splitting, yielding training and testing data, is critical for resulting model species distributions. Even if similar model performance exists, different methods can lead to different species distributional maps. More attention needs to be given to this issue, especially when amplifying these models to project species distributions in a changing world. © 2013 Gesellschaft für Ökologie. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/453364 | ISSN: | 14391791 | DOI: | 10.1016/j.baae.2013.04.003 | SDG/關鍵字: | Aves |
顯示於: | 生態學與演化生物學研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。