Skip to main content

Advertisement

Log in

Fuzzy Logic Method for Evaluating Habitat Suitability in an Estuary Affected by Land Reclamation

  • China Coastal Wetlands
  • Published:
Wetlands Aims and scope Submit manuscript

Abstract

This paper proposes an integrated approach to the assessment of estuarine habitat suitability based on a fuzzy logic method. Specifically, fuzzy logic is used to construct the Habitat Suitability Index (HSI) as a supplementary metric when field data is scarce. The HSI is used in turn to build the Habitat Aggregation Index (HAI) that considers the internal patches and fragmentation of the habitat. We applied the proposed tool to the Yellow River Estuary to demonstrate its implementation and efficacy. The habitat suitability of the estuary was evaluated under a host of scenarios with different terrain conditions to simulate the consequences of the long term land reclamation activities it has experienced during the past two decades. The findings indicate that from 1989 to 1999, the suitable habitat area (HSI ≥ 0.6) for jellyfish decreased by 2–6 % when flow was less than 500 m3/s, but increased 5–6.5 % when flow was greater than 800 m3/s. The suitable habitat area decreased by more than 30 % under the land reclamation that occurred from 1999 to 2009. The suitable habitat area for Chinese shrimp decreased by 9–13 % from 1989 to 1999 and 67–78 % from 1999 to 2009. Both the HAI of the habitat for jellyfish and Chinese shrimp decreased during 1989 to 1999 and then increased in 2009, indicating that the degree of habitat fragmentation that worsened under the reclamation during 1989–1999 was ameliorated during 1999–2009. This proposed approach provides a novel evaluation tool for habitat suitability in estuaries.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Able KW (2005) A re-examination of fish estuarine dependence: evidence for connectivity between estuarine and ocean habitats. Estuar Coast Shelf Sci 64(1):5–17

    Article  Google Scholar 

  • Beecher HA, Caldwell BA, DeMond SB (2002) Evaluation of depth and velocity preferences of juvenile coho salmon in Washington streams. N Am J Fish Manag 22(3):785–795

    Article  Google Scholar 

  • Bosserman RW, Ragade RK (1982) Ecosystem analysis using fuzzy set theory. Ecol Model 16(2):191–208

    Article  Google Scholar 

  • Bovee KD (1986) Development and evaluation of habitat suitability criteria for use in the instream flow incremental methodology. National Ecology Center, Division of Wildlife and Contaminant Research, Fish and Wildlife Service. US Department of the Interior, U.S.A

    Google Scholar 

  • Chen JK, Lu N, Liu CY, Jiang S, Lu XM (1994) Resource enhancement experiments in the edible medusea Rhopilema Esculenta Kishinouye in the coastal waters of northern Yellow Sea (in Chinese). Mar Fiah Res 15:103–113

    CAS  Google Scholar 

  • Chou WC, Lin WT, Lin CY (2007) Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: a case study in shihmen reservoir watershed, Taiwan. Ecol Eng 31(4):269–280

    Article  Google Scholar 

  • Deng JY, Ye CC, Liu YC (1990) Penaeid Prawn and its resource management in Bohai Sea and Yellow Sea (in Chinese). Ocean, Beijing

    Google Scholar 

  • Deng JY, Jin XS (2001) Study on fishery biodiversity and its conservation in Laizhou bay and yellow river estuary. Zool Res 21:76–82

    Google Scholar 

  • Dong LX, Su JL, Deng JY, Chen Q (2007) The importance of estuarine gravitational circulation in the early life of the BohaiPenaeid Prawn. J Mar Syst 67:253–262

    Article  Google Scholar 

  • Fraternali P, Castelletti A, Soncini-Sessa R, Vaca Ruiz C, Rizzoli AE (2012) Putting humans in the loop: social computing for water resources management. Environ Model Softw 37:68–77

    Article  Google Scholar 

  • Fukuda S (2009) Consideration of fuzziness: is it necessary in modelling fish habitat preference of Japanese medaka (Oryziaslatipes). Ecol Model 220(21):2877–2884

    Article  Google Scholar 

  • Fukuda S, De Baets B, Mouton AM, Waegeman W, Nakajima J, Mukai T, Onikura N (2011) Effect of model formulation on the optimization of a genetic Takagi–Sugeno fuzzy system for fish habitat suitability evaluation. Ecol Model 222(8):1401–1413

    Article  Google Scholar 

  • Gutiérrez García J, Romaguera S (2011) Examples of non-strong fuzzy metrics. Fuzzy Sets Syst 162(1):91–93

    Article  Google Scholar 

  • Li HB, Wu YG (1992) The quantitative research method of landscape ecology (in Chinese). In: Liu E (ed) The contemporary ecology theory. China Science and Technology Press, Beijing, pp 209–233

    Google Scholar 

  • Song HL, Liu XT (2013) The influence of reclamation activities on the estuarine delta in our country (in Chinese). Wetl Sci 11(002):297–304

    Google Scholar 

  • Hu QX, Lu JS (1990) Preliminary analysis of the relation of growth of penaeusorientaliskishinouye with environmental factors (in Chinese). Donghai Mar Sci 8:58–62

    Google Scholar 

  • Inglis GJ, Hurren H, Oldman J et al (2006) Using habitat suitability index and particle dispersion models for early detection of marine invaders. Ecol Appl 16(4):1377–1390

    Article  PubMed  Google Scholar 

  • Kang JW (1999) Changes in tidal characteristics as a result of the construction of sea-dike/sea-walls in the Mokpo Coastal Zone in Korea. Estuar Coast Shelf Sci 48(4):429–438

    Article  Google Scholar 

  • Koch EW (2001) Beyond light: physical, geological, and geochemical parameters as possible submersed aquatic vegetation habitat requirements. Estuaries 24(1):1–17

    Article  Google Scholar 

  • Kuang CP, Huang J, Lee JHW et al (2013) Impact of large-scale reclamation on hydrodynamics and flushing in Victoria harbour, Hong Kong. J Coast Res 29(6a):128–143

    Article  Google Scholar 

  • Kurup GR, Hamilton DP, Patterson JC (1998) Modelling the effect of seasonal flow variations on the position of salt wedge in a microtidal estuary. Estuar Coast Shelf Sci 47(2):191–208

    Article  Google Scholar 

  • Legleiter CJ, Goodchild MF (2005) Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic. Int J Geogr Inf Sci 19(1):29–50

    Article  Google Scholar 

  • Lee HJ, Chu YS, Park YA (1999) Sedimentary processes of fine-grained material and the effect of seawall construction in the Daehomacrotidal flat–nearshore area, northern west coast of Korea. Mar Geol 157(3):171–184

    Article  Google Scholar 

  • Lu N, Liu CY, Guo P (1989) Effect of salinity on larva of edible medusae (Rhopfilemaesculentakishinouye) at different development phases and a review on the cause of jelly fish resources falling greatly in Liao dong bay (in Chinese). Acta Ecol Sin 9:304–309

    Google Scholar 

  • Mouton AM, De Baets B, Goethals PL (2009) Knowledge-based versus data-driven fuzzy habitat suitability models for river management. Environ Model Softw 24(8):982–993

    Article  Google Scholar 

  • Mouton AM, Schneider M, Peter A, Holzer G, Müller R, Goethals PL, De Pauw N (2008) Optimisation of a fuzzy physical habitat model for spawning European grayling (< i > Thymallus thymallus</i > L.) in the Aare river (Thun, Switzerland). Ecol Model 215(1):122–132

    Article  Google Scholar 

  • Muñoz-Mas R, Martínez-Capel F, Schneider M et al (2012) Assessment of brown trout habitat suitability in the Jucar River Basin (SPAIN): Comparison of data-driven approaches with fuzzy-logic models and univariate suitability curves. Sci Total Environ 440:123–131

    Article  PubMed  Google Scholar 

  • Pasztalenieca A, Poniewozik M (2010) Phytoplankton based assessment of the ecological status of four shallow lakes (Eastern Poland) according to Water Framework Directive—a comparison of approaches. Limnologica 40:251–259

    Article  Google Scholar 

  • Peng S, Fu GYZ, Zhao XH, et al. (2011) Integration of Environmental Fluid Dynamics Code (EFDC) Model with Geographical Information System (GIS) Platform and Its Applications. Journal of Environmental Informatics 17 (2)

  • Poff NLR, Zimmerman JKH (2010) Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshw Biol 55(1):194–205

    Article  Google Scholar 

  • Poulos HM, Chernoff B, Fuller PL, et al. (2012) Ensemble forecasting of potential habitat for three invasive fishes. Aquatic Invasions, 7 (2)

  • Prato T (2007) Assessing ecosystem sustainability and management using fuzzy logic. Ecol Econ 1:171–177

    Article  Google Scholar 

  • Robins JB, Halliday IA, Staunton-Smith J et al (2005) Freshwater-flow requirements of estuarine fisheries in tropical Australia: a review of the state of knowledge and application of a suggested approach. Mar Freshw Res 56(3):343–360

    Article  Google Scholar 

  • Rüger N, Rüger N, Schlüter M, Matthies M, Matthies M (2005) A fuzzy habitat suitability index for < i > Populus euphratica</i > in the Northern Amudarya delta (Uzbekistan). Ecol Model 184(2):313–328

    Article  Google Scholar 

  • Ruiz GM, Carlton JT, Grosholz ED et al (1997) Global invasions of marine and estuarine habitats by non-indigenous species: mechanisms, extent, and consequences. Am Zool 37(6):621–632

    Article  Google Scholar 

  • Seo DG, Ahn JH (2012) Prediction of chlorophyll-a changes due to weir constructions in the Nakdong river using EFDC-WASP modelling. Environ Eng Res 17(2):95–102

    Article  Google Scholar 

  • Sklar FH, Browder JA (1998) Coastal environmental impacts brought about by alterations to freshwater inflow in the Gulf of Mexico. Environ Manag 22:547–562

    Article  Google Scholar 

  • Sun T, Xu J, Yang ZF (2012) Objective-based method for environmental flow assessment in estuaries and its application to the Yellow River Estuary, China. Estuar Coasts 35(3):892–903

    Article  Google Scholar 

  • Van Broekhoven E, Adriaenssens V, De Baets B, Verdonschot PFM (2006) Fuzzy rule-based macro-invertebrate habitat suitability models for running waters. Ecol Model 198:71–844

    Article  Google Scholar 

  • Wang H, Bi N, Saito Y et al (2010) Recent changes in sediment delivery by the Huanghe (Yellow River) to the sea: causes and environmental implications in its estuary. J Hydrol 391(3):302–313

    Article  Google Scholar 

  • Wang QY, Zhuang ZM, Deng JY, Ye YM (2006) Stock enhancement and translocation of the shrimp Penaeuschinensis in China. Fish Res 80:67–79

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  Google Scholar 

  • Zhang L, Liu C, Davis CJ, Solomon DS, Brann TB, Caldwell LE (2004) Fuzzy classification of ecological habitats from FIA data. For Sci 50(1):117–127

    Google Scholar 

  • Zhao B, Zhang XM, Chen SQ, Cheng YX, Zhang Y (2006) Effect of different environmental factors on early development of Jellyfish. RhopilemaEsculenta (in Chinese). Mar Fish Res 27:87–92

    Google Scholar 

  • Zhao Y, Zhou JZ, Chang JB, Zhang YC, Song LX, Bi S (2013) Application of fuzzy logic in the physical habitat simulation (in Chinese). Dev Water Sci 3(24):427–435

    Google Scholar 

Download references

Acknowledgments

This work was supported by the National Basic Research Program of China (973) (2013CB430402), the National Science Foundation for Innovative Research Group (No. 51121003), and the National Natural Science Foundation of China (No. 51279007).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Tao Sun or Dongdong Shao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, H., Sun, T., Shao, D. et al. Fuzzy Logic Method for Evaluating Habitat Suitability in an Estuary Affected by Land Reclamation. Wetlands 36 (Suppl 1), 19–30 (2016). https://doi.org/10.1007/s13157-014-0606-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13157-014-0606-2

Keywords

Navigation