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Predicting the distribution of Green Peafowl Pavo muticus in Java, Indonesia, using a species distribution model

2012Predicting the distribution of Green Peafowl Pavo muticus in Java, Indonesia, using a species distribution model.TEDI SETIADI (Indonesia)
Organisation:University of East Anglia, Norwich (UK)Supervisor :Richard G. Davies
Summary: The Green Peafowl Pavo muticus is placed in the international Red List threat category ‘Endangered’. It faces a diverse range of threats including widespread hunting, coupled with the degradation and loss of its open forest and woodland habitat. Java Island is the only island in Indonesia where the bird occurs. However, the knowledge of distribution and population for this bird across the island is limited. This present study has assessed the density estimate across different habitat type using distance-based line transect, investigated habitat characteristics of Peafowl location and predicted potential current distribution using species distribution model. Results showed that open habitat types (wooded savanna, savanna, and grassland) have higher density estimates compare to denser habitat type (deciduous forest, teak forest, and evergreen lowland forest). There were four habitat characteristics appeared as strongest predictor for the occurrence of Green peafowl which were grass dominance, distance to human settlement, height of grass, and shrub/undergrowth dominance. Ecological niche modelling showed that annual precipitation, April NDVI, altitude, and temperature seasonality variables appear as the most important variables contributing to the final result of the potential distribution prediction. The predicted suitable habitat distribution map has shown a good match with historical and present records of Green Peafowl, succeeded in capturing a wide range of habitat patches from tiny spots to fairly large suitable habitat. Availability of grassland or grassy patches will be instrumental for the Green Peafowl occurrence. Conservation efforts are urgently required especially within the distribution range outside protected areas.
Keywords:Ecological niche model, Density, Habitat characteristic, Predicted distribution