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  3. Ecology and Evolutionary Biology / 生態學與演化生物學研究所
  4. Influences of temporal independence of data on modelling species distributions
 
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Influences of temporal independence of data on modelling species distributions

Journal
Basic and Applied Ecology
Journal Volume
14
Journal Issue
4
Pages
309-319
Date Issued
2013
Author(s)
Ko C.-Y.  
Ko C.-J.
Lin R.-S.
PEI-FEN LEE  
DOI
10.1016/j.baae.2013.04.003
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/453364
URL
https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84878480435&doi=10.1016%2fj.baae.2013.04.003&partnerID=40&md5=462fea354d81bc9ea1f1b885bb5ec53b
Abstract
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.
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[SDGs]SDG13

Other Subjects
Aves
Type
journal article

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