Nothing Special   »   [go: up one dir, main page]

Skip to main content

Advertisement

Log in

Influence Paths of Marine Ranching Ecological Security in China Based on Probabilistic Linguistic Term Sets and Qualitative Comparative Analysis

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

Marine ranching can increase the harvesting capacity of many species and help achieve planned and purposeful production of marine resources. However, marine ranching ecological security (MRES) has received limited attention, which has affected the management of marine ranching. To provide decision support for the management of MRES in China, we obtained the influence paths of MRES in China using probabilistic linguistic term sets (PLTSs) and qualitative comparative analysis (QCA). The DPSIR (Driver-Pressure-State-Impact-Response) framework was employed to construct the evaluation index system of MRES, and PLTSs were used to describe the multiple values resulting from three threshold setting methods. We selected 17 samples of marine ranching enterprises in China to apply our method and input their data into multi-value QCA to identify the influence paths of MRES relating to those enterprises. We found that there exists an influence path (configuration) that causes a high level of MRES, namely F1{2}*F2{2}*~F3*F4{2}*F5{1,2}. This means that for a high level of MRES, the driver, pressure and impact factors should be at their best levels, and the state factor can be at the normal level. MRES was at the high level whether the response factor was normal or positive. Our findings generate theoretical and practical implications managing MRES.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Moberg, O., Salvanes, A.G.V.: Ocean ranching. Academic Press, Oxford (2019)

    Book  Google Scholar 

  2. Han, Q., Keesing, J.K., Liu, D.: A review of sea cucumber aquaculture, ranching, and stock enhancement in China. Rev. Fish Sci. Aquac. 24(4), 326–341 (2016)

    Article  Google Scholar 

  3. Qin, M., Yue, C.X., Du, Y.W.: Evolution of China's marine ranching policy based on the perspective of policy tools. Marine Policy. 117, 10394 (2020)

    Article  Google Scholar 

  4. Kitada, S.: Economic, ecological and genetic impacts of marine stock enhancement and sea ranching: a systematic review. Fish Fish. 19(3), 511–532 (2018)

    Article  Google Scholar 

  5. Salvanes, A.G.V.: Encyclopedia of ocean sciences. Academic Press, Cambridge (2001)

    Google Scholar 

  6. Radiarta, I.N., Saitoh, S., Yasui, H.: Aquaculture site selection for Japanese kelp (Laminaria japonica) in southern Hokkaido, Japan, using satellite remote sensing and GIS-based models. ICES J. Mar. Sci. 68(4), 773–780 (2011)

    Article  Google Scholar 

  7. Taylor, A.L., Nowland, S.J., Hearnden, M.N., Hair, C.A., Fleming, A.E.: Sea ranching release techniques for cultured sea cucumber Holothuria scabra (Echinodermata: Holothuroidea) juveniles within the high-energy marine environments of northern Australia. Aquaculture 465, 109–116 (2016)

    Article  Google Scholar 

  8. Zion, B., Barki, A.: Ranching fish using acoustic conditioning: has it reached a dead end? Aquaculture 344–349, 3–11 (2012)

    Article  Google Scholar 

  9. Loneragan, N.R., Jenkins, G.I., Taylor, M.D.: Marine stock enhancement, restocking, and sea ranching in Australia: future directions and a synthesis of two decades of research and development. Rev. Fish. Sci. 21(3–4), 222–236 (2013)

    Article  Google Scholar 

  10. Taylor, M.D., Chick, R.C., Lorenzen, K., Agnalt, A., Leber, K.M., Blankenship, H.L., et al.: Fisheries enhancement and restoration in a changing world. Fish. Res. 186, 407–412 (2017)

    Article  Google Scholar 

  11. Lee, S.I., Zhang, C.I.: Evaluation of the effect of marine ranching activities on the Tongyeong marine ecosystem. Ocean Sci. J. 53(3), 557–582 (2018)

    Article  Google Scholar 

  12. Borja, A., Bricker, S.B., Dauer, D.M., Demetriades, N.T., Ferreira, J.G., Forbes, A.T., et al.: Overview of integrative tools and methods in assessing ecological integrity in estuarine and coastal systems worldwide. Mar. Pollut. Bull. 56(9), 1519–1537 (2008)

    Article  Google Scholar 

  13. Hao, H., Bin, C., Zhiyuan, M., Zhenghua, L., Senlin, Z., Weiwei, Y., et al.: Assessing the ecological security of the estuary in view of the ecological services—a case study of the Xiamen Estuary. Ocean Coast Manage. 137, 12–23 (2017)

    Article  Google Scholar 

  14. Solovjova, N.V.: Ecological risk modelling in developing resources of ecosystems characterized by varying vulnerability levels. Ecol. Model. 406, 60–72 (2019)

    Article  Google Scholar 

  15. Lu, W., Xu, C., Wu, J., Cheng, S.: Ecological effect assessment based on the DPSIR model of a polluted urban river during restoration: a case study of the Nanfei River, China. Ecol. Indic. 96, 146–152 (2019)

    Article  Google Scholar 

  16. Patrício, J., Elliott, M., Mazik, K., Papadopoulou, K., Smith, C.J.: DPSIR—two decades of trying to develop a unifying framework for marine environmental management? Front. Mar. Sci. 3, 177 (2016)

    Google Scholar 

  17. Gari, S.R., Newton, A., Icely, J.D.: A review of the application and evolution of the DPSIR framework with an emphasis on coastal social-ecological systems. Ocean Coast Manage. 103, 63–77 (2015)

    Article  Google Scholar 

  18. Pullanikkatil, D., Palamuleni, L., Ruhiiga, T.: Assessment of land use change in Likangala River catchment, Malawi: a remote sensing and DPSIR approach. Appl. Geogr. 71, 9–23 (2016)

    Article  Google Scholar 

  19. Ragin, C.: Redesigning social inquiry: fuzzy sets and beyond. University of Chicago Press, Chicago (2008)

    Book  Google Scholar 

  20. Fiss, P.C.: Building better causal theories A fuzzy set approach to typologies in organization research. Acad. Manage. J. 54(2), 393–420 (2011)

    Article  Google Scholar 

  21. Bodin, Ö., Österblom, H.: International fisheries regime effectiveness—activities and resources of key actors in the Southern Ocean. Global Environ. Change. 23(5), 948–956 (2013)

    Article  Google Scholar 

  22. Ide, T.: On the appropriate use of QCA in environmental management research: a comment on Hossu. AMBIO J. Hum. Environ. 47(7), 831–832 (2018)

    Article  Google Scholar 

  23. Aubin, D., Varone, F.: Getting access to water: property rights or public policy strategies? Environ. Plan. C 31(1), 154–166 (2013)

    Article  Google Scholar 

  24. Kunz, N.C., Fischer, M., Ingold, K., Hering, J.G.: Why do some water utilities recycle more than others? A qualitative comparative analysis in New South Wales, Australia. Environ. Sci. Technol. 49, 8287–8296 (2015)

    Article  Google Scholar 

  25. Andrea M. Herrmann LC. Contradictions in Qualitative Comparative Analysis (QCA): Ways Out of the Dilemma. Water Resources Engineering. (2006)

  26. Dy, S.M., Garg, P., Nyberg, D., Dawson, P.B., Pronovost, P.J., Morlock, L., et al.: Critical Pathway effectiveness: assessing the impact of patient, hospital care, and pathway characteristics using qualitative comparative analysis. Health Serv. Res. 40(2), 499–516 (2005)

    Article  Google Scholar 

  27. Pang, Q., Wang, H., Xu, Z.: Probabilistic linguistic term sets in multi-attribute group decision making. Inform Sci. 369, 128–143 (2016)

    Article  Google Scholar 

  28. Zschoch, M.: Configurational comparative methods: qualitative comparative analysis (QCA) and related techniques by Benoit Rihoux; Charles Ragin. Can. J. Pol. Sci. 44, 743–746 (2011)

    Article  Google Scholar 

  29. Cronqvist, L.: Tosmana: Tool for Small-n Analysis. University of Trier, Trier (2011)

    Google Scholar 

  30. Skaaning, S.E.: Assessing the robustness of crisp-set and fuzzy-set QCA results. Sociol. Methods Res. 40(2), 391–408 (2011)

    Article  MathSciNet  Google Scholar 

  31. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A sequential selection process in group decision making with a linguistic assessment approach. Inform Sci. 85(4), 223–239 (1995)

    Article  Google Scholar 

  32. Xu, Z., Wang, H.: On the syntax and semantics of virtual linguistic terms for information fusion in decision making. Inform Fusion. 34, 43–48 (2017)

    Article  Google Scholar 

  33. Zhang, Y., Xu, Z., Wang, H., Liao, H.: Consistency-based risk assessment with probabilistic linguistic preference relation. Appl. Soft Comput. 49, 817–833 (2016)

    Article  Google Scholar 

  34. Wang, H., Xu, Z.: Interactive algorithms for improving incomplete linguistic preference relations based on consistency measures. Appl. Soft Comput. 42, 66–79 (2016)

    Article  Google Scholar 

  35. OECD: Core set of indicators for environmental performance reviews. Environ. Monogr. 83, 1–39 (1993)

    Google Scholar 

  36. Wang, X., Zou, Z., Zou, H.: Using discriminant analysis to assess polycyclic aromatic hydrocarbons contamination in Yongding New River. Environ. Monit. Assess. 185(10), 8547–8555 (2013)

    Article  Google Scholar 

  37. Measures for annual evaluation and review of national marine ranching demonstration area (trial).(2018). http://www.moa.gov.cn/nybgb/2018/201811/201901/t20190102_6165928.htm

  38. Schneider, C.Q., Wagemann, C.: Standards of good practice in qualitative comparative analysis (QCA) and fuzzy-sets. Comp. Sociol. 9(3), 397–418 (2010)

    Article  Google Scholar 

Download references

Acknowledgement

This research was supported by the Major Program of National Social Science Foundation of China under Grant No. 18ZDA055, the National Natural Science Foundation of China (NSFC) under Grant Nos. 71874167, 71804170 and 71901199, the Fundamental Research Funds for the Central Universities under Grant No. 202041005, and the Special Funds of Taishan Scholars Project of Shandong Province under Grant No. tsqn20171205. The authors would like to thank anonymous referees and the editor for their valuable comments and suggestions that help to improve the quality of the paper to its current standard.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuan-Wei Du.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Du, YW., Sun, XL. Influence Paths of Marine Ranching Ecological Security in China Based on Probabilistic Linguistic Term Sets and Qualitative Comparative Analysis. Int. J. Fuzzy Syst. 23, 228–242 (2021). https://doi.org/10.1007/s40815-020-00894-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-020-00894-x

Keywords

Navigation