Pearson’s correlation between number of <i>A</i>. <i>fulica</i> records and climatic factors.

<p>*P<0.05,</p><p>**P<0.01,</p><p>df = 10</p><p>Pearson’s correlation between number of <i>A</i>. <i>fulica</i> records and climatic factors.</p

Top 10 Indian states with >0.50% probability of invasion risk from <i>A</i>. <i>fulica</i> under present and future climate change scenarios.

<p>The values in table are in percentage.</p

Relative contribution of different bioclimatic variables to MaxEnt model for <i>A</i>. <i>fulica</i>.

<p>Percent contribution values are averages over 10 replicate runs.</p

Percent number of records of <i>A</i>.<i>fulica</i> invasion along the altitudinal gradient.

<p>Percent number of records of <i>A</i>.<i>fulica</i> invasion along the altitudinal gradient.</p

Environmental Data used for ENM for <i>A</i>. <i>fulica</i>.

<p>The highlighted variables were included in the model after testing for correlation between variables.</p

Potential distribution of <i>A</i>.<i>fulica</i> under current, and three climate change scenario (RCP 4.5, 6.0 and 8.0) a) for mainland India and b) Andaman and Nicobar Islands.

<p>Legend: Blue to red colour indicates unsuitable to highly suitable areas</p

Area under curve for training and test points under different scenarios.

<p>Area under curve for training and test points under different scenarios.</p

Percent difference in the area of different suitability category between RCP 4.5, RCP and 6.0 and RCP 8.0 and current scenario for <i>A</i>.<i>fulica</i>.

<p>Percent difference in the area of different suitability category between RCP 4.5, RCP and 6.0 and RCP 8.0 and current scenario for <i>A</i>.<i>fulica</i>.</p

Area with suitability scores under different climate scenarios.

<p>The percentage is given in the parenthesis. The value less the 0.10 is not given.</p