<?xml version="1.0" encoding="utf-8"?><article><front><Journal-meta><journal-id journal-id-type='publisher'>CWE/1292/2018</journal-id><journal-title >Current World Environment</journal-title><issn pub-type='PPub'>0973-4929</issn><issn pub-type='ePub'>2320-8031</issn><publisher><publisher-name>Enviro Research Publishers</publisher-name></publisher></Journal-meta><article-meta><article-id pub-id-type='other'>CWE--62-00</article-id><title-group><article-title>An Assessment of Vulnerability of Fishers Livelihood to Climate Change in Coastal Odisha, India</article-title></title-group><contrib-group><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib><contrib contrib-type='author'><name><surname></surname><given-names></given-names></name><xref ref-type='aff' rid='aff00'><sup></sup></xref></contrib></contrib-group><aff id='aff001'><sup>1</sup><instname></instname>,<deptname>Fisheries Economics, Extension, and Statistics Division</deptname>, <instaddress>ICAR-Central Institute Of Fisheries Education, Panch Marg, Andheri(W)</instaddress>, <instcity>Mumbai</instcity>, <instpincode>400061</instpincode>, <instcountry>India</instcountry>.</aff><pub-date pub-type='ppub'><publicationDate></publicationDate></pub-date><doi>10.12944/CWE.14.1.08</doi><volume>Volume 14</volume><issue>Volume 14</issue><page>60-67</page><abstract><title>Abstract</title><p>&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;&lt;span style=&quot;font-size:14px&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt;A study was conducted in Odisha, a state on the east coast of India, with the objective of assessing the vulnerability of fishers&amp;rsquo; livelihood to climate change. The state was chosen for study since it is considered as one of the most vulnerable states due to climate change. A total of 120 fishers were interviewed from two districts, Balasore and Ganjam, to assess their livelihood vulnerability by considering their exposure, sensitivity and adaptive capacity to climate change. A composite livelihood vulnerability &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;&lt;span style=&quot;font-size:14px&quot;&gt;index by&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;&lt;span style=&quot;font-size:14px&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt;suggesting that fishers are vulnerable to climate change. For fishers of &lt;u&gt;+&lt;/u&gt; 0.03 and for Ganjam it was 0.5 minima 0, and maxima 1 was used for the purpose. &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-size:14px&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;Baleswar&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt; the score was 0.56&lt;/span&gt;&lt;/span&gt; 0.04, s&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt;. The aggregated vulnerability score was found to be 0.54&lt;u&gt;+&lt;/u&gt;&lt;/span&gt;&lt;/span&gt;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 &lt;/span&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;capacity&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-family:Arial,Helvetica,sans-serif&quot;&gt;&lt;span style=&quot;font-size:12.0pt&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt;&lt;u&gt;&lt;span style=&quot;font-size:14px&quot;&gt;+&amp;nbsp;&lt;/span&gt;&lt;/u&gt;&lt;span style=&quot;font-size:14px&quot;&gt;0.04.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-size:14px&quot;&gt;&lt;span style=&quot;background-color:white&quot;&gt;&lt;span style=&quot;color:#111111&quot;&gt; 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.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;
&lt;span style=&quot;font-size:14px&quot;&gt;&amp;nbsp;&lt;/span&gt;</p></abstract><kwd-group><title>Keywords</title><kwd>Adaptive Capacity</kwd><kwd> Exposure</kwd><kwd> Livelihood Vulnerability Index (LVI)</kwd><kwd> Marine Fishers</kwd><kwd> Odisha</kwd><kwd> Sensitivity</kwd><kwd> Vulnerability</kwd></kwd-group><counts><ref-count count='' /><page-count count='' /></counts></article-meta></front></article>