Identifying agricultural disaster risk zones for future climate actions

Table 1. Comparative study to assess the effects of higher degree of entanglement in global supply and trade net- work and total agricultural production on cascaded agricultural production value losses from concurrent extreme weather events. Regions Total production(%) share losses(%) Degree of connection(Weight) China 21.06 9.14 10.69 India 11.96 15.15 4.57 Brazil 9.6 6.80 1.183 USA 8.3 1.48 18.28 Russia 2.47 5.50 2.32 Thailand 2.05 1.7 1.5 Mexico 1.78 1.82 0.73 Pakistan 1.7 0.3 0.69 Nigeria 1.67 0.2 0.38 Canada 1.01 3.29 1.52 South Africa 0.5 0.82 3.71 https://doi.org/10.1371/journal.pone.0260430.t001 Fig 4. Median production and consumption value losses over all concurrent forcing scenarios. Top 10 countries with most production value losses (a) and least production value losses/gains (b). (c) and (d) are top 10 consumption value losers and gainers respectively. This figure shows that India, Brazil, Russia, Canada Iran are very vulnerable regions. The USA, China, and the EU shows price hikes. https://doi.org/10.1371/journal.pone.0260430.g004 PLOS ONE Identifying agricultural disaster risk zones for future climate actions PLOS ONE | https://doi.org/10.1371/journal.pone.0260430 December 2, 2021 8 / 16