Distribution modelling of brown trout Salmo trutta for predicting habitat expansion in the Himalayas, India

Author:

Singh Atul K1,Srivast Sharad C1

Affiliation:

1. National Bureau of Fish Genetic Resources

Abstract

Abstract Suitable habitat conditions for brown trout Salmo trutta, were modeled with MaxEnt software using sets of bioclimatic variables for current conditions and topographic variables for landscape and drainage conditions. Our model revealed that the most favorable conditions for brown trout were present in the Jammu & Kashmir, Himachal Pradesh, Uttarakhand, Arunachal and Sikkim regions of the Himalayas. We analyzed 83 parameters using the MaxEnt model for Salmo trutta which showed that it was an outstanding prediction model as area under curve (AUC) was 0.947 and was very much close to 1. The major climatic factors for expansion of Salmo trutta distribution revealed that contribution of the corresponding altitudinal variable (GMTED_DEM) was 55.9%, Precipitation of Driest Quarter (Bio_17) was 22.5%, and Precipitation Seasonality (Bio_15) was 12.5% and they were the drivers of further distribution expansion of Salmo trutta in the Himalayan states. Future projections revealed significant changes in the probability distribution of the fish, where they can be of interest developing organized angling in the Himalayan regions and can contribute to the prioritization of angling and restoration sites.

Publisher

Research Square Platform LLC

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