-
Abstract: China (herein referred as China’s mainland, and excluding Hong Kong, Macau and Taiwan) ranks as the world’s leading fishing nation, with approximately 11.1 million tons of domestic marine catch acquired in 2017. Marine fisheries resources in China are mainly exploited by its 11 coastal provinces and municipalities, and the development of fishing industry varies among them. However, few studies have examined the exploitation history of the 11 coastal provinces and municipalities. In this paper, we systematically quantified the exploitation history of marine fishery resources in China and then measured the vulnerability of the 11 coastal provinces and municipalities of China to a reduction in marine catches. Our analysis suggested that Chinese marine fisheries experienced rapid growth from the mid-1980s to the end of the 20th century, and this rapid increase in marine catches were mainly promoted by increased fishing effort. The total primary production required level amounted to approximately 80% of the average primary productivity in 2017, and Zhejiang, Fujian, Shandong, Hainan and Guangdong provinces were the main fishing provinces in China. By assessing three dimensions of vulnerability (exposure, sensitivity and adaptive capacity) to the impacts of a reduction in marine catches in the 11 coastal provinces and municipalities, we found that Hainan, Guangxi, Zhejiang and Fujian provinces had high or very high vulnerability, while the municipalities of Shanghai and Tianjin had low vulnerability. Identifying suitable adaptation policies and management plans based on the differences in vulnerability among coastal provinces is important in sustainable fisheries management.
-
Table 1. Summary of the variables and data sources used to calculate the exposure, sensitivity and adaptive capacity of coastal provinces to fishery vulnerability associated with a reduction in marine catches
Component Interpretation Variable Data sources Exposure reliance on marine capture fisheries (2015–2017) marine catches as a percentage of total fishery production China Fishery Statistical Yearbook 2016–2018 Sensitivity food security dependency (2015–2017) $\large \displaystyle\frac{\rm{fish protein intake/total animal protein intake}}{\rm{total animal protein intake/required animal protein intake}}$ China Statistical Yearbook 2016–2018 employment dependency (2015–2017) marine capture fisheries employment as a percentage of the total employment China Fishery Statistical Yearbook 2016–2018 and Statistical Yearbook of Related Provinces 2016–2018 economic dependency (2015–2017) economic value of marine capture fisheries as a percentage of the GDP China Fishery Statistical Yearbook 2016–2018 and China Statistical Yearbook 2016–2018 Adaptive capacity assets (2015–2017) GDP per capita China Statistical Yearbook 2016–2018 flexibility (2010) life expectancy at birth China Population and Employment Statistics Yearbook 2017 learning (2015–2017) average years of education China Statistical Yearbook 2016–2018 social organization (2015–2017) input intensity of R&D China Statistical Yearbook on Science and Technology 2016–2018 Table 2. The percentage of fishery production of different fishery sectors in total fishery production for the 11 coastal provinces and municipalities of China, averaged over 2015–2017
Fishing provinces
and municipalitiesMarine capture
fishery/%Distant water
fishery/%Freshwater capture
fishery /%Aquaculture/% Tianjin 10.5 4.1 2.2 83.2 Hebei 20.0 2.8 5.7 71.5 Liaoning 14.6 5.7 1.0 78.7 Shanghai 5.7 47.3 0.7 46.3 Jiangsu 10.6 0.5 6.1 82.8 Zhejiang 55.0 8.2 1.6 35.2 Fujian 25.7 4.7 1.0 68.6 Shandong 22.0 5.3 1.0 71.7 Guangdong 17.6 0.6 1.4 80.4 Guangxi 19.6 0.2 3.5 76.7 Hainan 65.1 0 0.9 34.0 Note: Data source: China Fishery Statistical Yearbook. -
[1] Adger W N. 2006. Vulnerability. Global Environmental Change, 16(3): 268–281. doi: 10.1016/j.gloenvcha.2006.02.006 [2] Akpan S B, Patrick I V, Udoka S J, et al. 2013. Determinants of credit access and demand among poultry farmers in Akwa Ibom State, Nigeria. American Journal of Experimental Agriculture, 3(2): 293–307. doi: 10.9734/AJEA/2013/2810 [3] Allison E H, Perry A L, Badjeck M C, et al. 2009. Vulnerability of national economies to the impacts of climate change on fisheries. Fish and Fisheries, 10(2): 73–196 [4] Barange M, Merino G, Blanchard J L, et al. 2014. Impacts of climate change on marine ecosystem production in societies dependent on fisheries. Nature Climate Change, 4(3): 211–216. doi: 10.1038/nclimate2119 [5] Bell J D, Watson R A, Ye Yimin. 2017. Global fishing capacity and fishing effort from 1950 to 2012. Fish and Fisheries, 18(3): 489–505. doi: 10.1111/faf.12187 [6] Blomeyer R, Goulding I, Pauly D, et al. 2012. The Role of China in World Fisheries. Directorate General for Internal Policies. Policy Department B: Structural and Cohesion Policies. European Parliament [7] Cao Ling, Chen Yong, Dong Shuanglin, et al. 2017. Opportunity for marine fisheries reform in China. Proceedings of the National Academy of Sciences of the United States of America, 114(3): 435–442. doi: 10.1073/pnas.1616583114 [8] Cinner J, Fuentes M M P B, Randriamahazo H. 2009. Exploring social resilience in Madagascar’s marine protected areas. Ecology and Society, 14(1): 41. doi: 10.5751/ES-02881-140141 [9] Cinner J E, Huchery C, Darling E S, et al. 2013. Evaluating social and ecological vulnerability of coral reef fisheries to climate change. PLoS One, 8(9): e74321. doi: 10.1371/journal.pone.0074321 [10] Cinner J E, McClanahan T R, Graham N A J, et al. 2012. Vulnerability of coastal communities to key impacts of climate change on coral reef fisheries. Global Environmental Change, 22(1): 12–20. doi: 10.1016/j.gloenvcha.2011.09.018 [11] Clausen R, York R. 2008. Economic growth and marine biodiversity: influence of human social structure on decline of marine trophic levels. Conservation Biology, 22(2): 458–466. doi: 10.1111/j.1523-1739.2007.00851.x [12] Coll M, Libralato S, Pitcher T J, et al. 2013. Sustainability implications of honouring the code of conduct for responsible fisheries. Global Environmental Change, 23(1): 157–166. doi: 10.1016/j.gloenvcha.2012.10.017 [13] Cutter S L. 1996. Vulnerability to environmental hazards. Progress in Human Geography, 20(4): 529–539. doi: 10.1177/030913259602000407 [14] Ding Qi, Chen Xinjun, Hilborn R, et al. 2017b. Vulnerability to impacts of climate change on marine fisheries and food security. Marine Policy, 83: 55–61. doi: 10.1016/j.marpol.2017.05.011 [15] Ding Qi, Wang Yali, Chen Xinjun, et al. 2017a. Effects of economics and demographics on global fisheries sustainability. Conservation Biology, 31(4): 799–808. doi: 10.1111/cobi.12873 [16] FAO. 2016. The state of world fisheries and aquaculture 2014. Rome: Food and Agriculture Organization of the United Nations Press [17] Fisheries Bureau of the Ministry of Agriculture. 1950–2018. China Fisheries Statistical Yearbook (in Chinese). Beijing: China Agricultural Press, 1–181 [18] Huang Yunfeng, Li Fangyi, Bai Xuemei, et al. 2012. Comparing vulnerability of coastal communities to land use change: Analytical framework and a case study in China. Environmental Science & Policy, 23: 133–143 [19] Hughes S, Yau A, Max L, et al. 2012. A framework to assess national level vulnerability from the perspective of food security: The case of coral reef fisheries. Environmental Science & Policy, 23: 95–108 [20] Johnson J E, Welch D J. 2009. Marine fisheries management in a changing climate: a review of vulnerability and future options. Reviews in Fisheries Science, 18(1): 106–124. doi: 10.1080/10641260903434557 [21] Liu J Y. 2013. Status of marine biodiversity of the China Seas. PLoS One, 8(1): e50719. doi: 10.1371/journal.pone.0050719 [22] Mamauag S S, Aliño P M, Martinez R J S, et al. 2013. A framework for vulnerability assessment of coastal fisheries ecosystems to climate change-Tool for understanding resilience of fisheries (VA-TURF). Fisheries Research, 147: 381–393. doi: 10.1016/j.fishres.2013.07.007 [23] McClanahan T, Allison E H, Cinner J E. 2015. Managing fisheries for human and food security. Fish and Fisheries, 16(1): 78–103. doi: 10.1111/faf.12045 [24] Monnereau I, Mahon R, McConney P, et al. 2015. Vulnerability of the fisheries sector to climate change impacts in Small Island Developing States and the Wider Caribbean: early findings. CERMES Technical Report No 77. Barbados: University of the West Indies [25] Niu Mingxiang, Wang Jun. 2017. Variation in the distribution of wintering anchovy Engraulis japonicus and its relationship with water temperature in the central and southern Yellow Sea. Chinese Journal of Oceanology and Limnology, 35(5): 1134–1143. doi: 10.1007/s00343-017-6134-1 [26] Pauly D, Belhabib D, Blomeyer R, et al. 2014. China’s distant-water fisheries in the 21st century. Fish and Fisheries, 15(3): 474–488. doi: 10.1111/faf.12032 [27] Pauly D, Christensen V. 1995. Primary production required to sustain global fisheries. Nature, 374(6519): 255–257. doi: 10.1038/374255a0 [28] Pauly D, Zeller D. 2015. Sea Around Us concepts, design and data. Vancouver, B. C: Sea Around Us, University of British Columbia. http://www.seaaroundus.org/ [2018–01–12] [29] Pelletier N, André J, Charef A, et al. 2014. Energy prices and seafood security. Global Environmental Change, 24: 30–41. doi: 10.1016/j.gloenvcha.2013.11.014 [30] Shen Gongming, Heino M. 2014. An overview of marine fisheries management in China. Marine Policy, 44: 265–272. doi: 10.1016/j.marpol.2013.09.012 [31] Swartz W, Sala E, Tracey S, et al. 2010. The spatial expansion and ecological footprint of fisheries (1950 to present). PLoS One, 5(12): e15143. doi: 10.1371/journal.pone.0015143 [32] Watson R, Zeller D, Pauly D. 2014. Primary productivity demands of global fishing fleets. Fish and Fisheries, 15(2): 231–241. doi: 10.1111/faf.12013 [33] Watson R A, Cheung W W L, Anticamara J A, et al. 2013. Global marine yield halved as fishing intensity redoubles. Fish and Fisheries, 14(4): 493–503. doi: 10.1111/j.1467-2979.2012.00483.x [34] Worm B, Hilborn R, Baum J K, et al. 2009. Rebuilding global fisheries. Science, 325(5940): 578–585. doi: 10.1126/science.1173146 [35] Wu Jian, Yang Aiting. 2012. The analysis of regional economic vulnerability and obstacle factors of Guangdong province based on set pair analysis. Economic Geography (in Chinese), 32(9): 32–38 [36] Yu Huiguo, Yu Yunjun. 2008. Fishing capacity management in China: Theoretic and practical perspectives. Marine Policy, 32(3): 351–359. doi: 10.1016/j.marpol.2007.07.004 [37] Zhao Keqin. 2000. Set Pair Analysis and Its Preliminary Application (in Chinese). Hangzhou: Zhejiang Science and Technology Press, 1–198