< / span > < / span > < / span > < span风格=“字体大小:12.0 pt”> < span风格=“背景颜色:白色”> <跨风格= "颜色:# 111111 " > <跨风格=“字体类型:Arial, Helvetica,无衬线”> <跨风格= >“字体大小:14 px”指数by  < / span > < / span > < / span > < / span > < / span > <跨风格=“字体类型:Arial, Helvetica,无衬线”> suggesting that fishers are vulnerable to climate change. For fishers of + 0.03 and for Ganjam it was 0.5 minima 0, and maxima 1 was used for the purpose. Baleswar the score was 0.56 0.04, s. The aggregated vulnerability score was found to be 0.54+The composite livelihood vulnerability index approach calculates vulnerability by aggregating data for a set of indicators for the components of vulnerability which include exposure, sensitivity, and adaptive capacity + 0.04. Vulnerability score was relatively higher in Baleswar due to higher scores on the exposure and sensitivity parameters overshadowing the higher adaptive capacity. The study shows evidence that marine fishers of Odisha are vulnerable to climate change. Also, it throws light on the location and context specificity of livelihood vulnerability.