Incorporating low-resolution historic species location data decreases performance of distribution models

Reside, April E., Watson, Ian, VanDerWal, Jeremy, and Kutt, Alex S. (2011) Incorporating low-resolution historic species location data decreases performance of distribution models. Ecological Modelling, 222 (18). pp. 3444-3448.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1016/j.ecolmodel.20...

Abstract

Developing robust species distribution models is important as model outputs are increasingly being incorporated into conservation policy and management decisions. A largely overlooked component of model assessment and refinement is whether to include historic species occurrence data in distribution models to increase the data sample size. Data of different temporal provenance often differ in spatial accuracy and precision. We test the effect of inclusion of historic coarse-resolution occurrence data on distribution model outputs for 187 species of birds in Australian tropical savannas. Models using only recent (after 1990), fine-resolution data had significantly higher model performance scores measured with area under the receiver operating characteristic curve (AUC) than models incorporating both fine- and coarse-resolution data. The drop in AUC score is positively correlated with the total area predicted to be suitable for the species (R2 = 0.163–0.187, depending on the environmental predictors in the model), as coarser data generally leads to greater predicted areas. The remaining unexplained variation is likely to be due to the covariate errors resulting from resolution mismatch between species records and environmental predictors. We conclude that decisions regarding data use in species distribution models must be conscious of the variation in predictions that mixed-scale datasets might cause.

Item ID: 20971
Item Type: Article (Refereed Research - C1)
Keywords: species distribution models; AUC; maxent; birds; Australian tropical savannas; environmental covariates
ISSN: 1872-7026
Date Deposited: 14 Mar 2012 07:01
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0501 Ecological Applications > 050101 Ecological Impacts of Climate Change @ 100%
SEO Codes: 96 ENVIRONMENT > 9603 Climate and Climate Change > 960303 Climate Change Models @ 100%
Citation Count from Web of Science Web of Science 2
Downloads: Total: 3
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page