JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Application of Habitat Suitability Models for Assessing Climate Change Effects on Fish Distribution
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Ecology and Resilient Infrastructure
  • Volume 3, Issue 2,  2016, pp.134-142
  • Publisher : Korean Society of Ecology and Infrastructure Engineering
  • DOI : 10.17820/eri.2016.3.2.134
 Title & Authors
Application of Habitat Suitability Models for Assessing Climate Change Effects on Fish Distribution
Shim, Taeyong; Bae, Eunhye; Jung, Jinho;
  PDF(new window)
 Abstract
Temperature increase and precipitation changes caused by change alter aquatic environments including water quantity and quality that eventually affects the habitat of aquatic organisms. Such changes in habitat lead to changes in habitat suitability of the organisms, which eventually determines species distribution. Therefore, conventional habitat suitability models were investigated to evaluate habitat suitability changes of freshwater fish cause by change. Habitat suitability models can be divided into habitat-hydraulic (PHABSIM, CCHE2D, CASiMiR, RHABSIM, RHYHABSIM, and River2D) and habitat-physiologic (CLIMEX) models. Habitat-hydraulic models use hydraulic variables (velocity, depth, substrate) to assess habitat suitability, but lack the ability to evaluate the effect of water quality, including temperature. On the contrary, CLIMEX evaluates the physiological response against climatic variables, but lacks the ability to interpret the effects of physical habitat (hydraulic variables). A new concept of ecological habitat suitability modeling (EHSM) is proposed to overcome such limitations by combining the habitat-hydraulic model (PHABSIM) and the habitat-physiologic model (CLIMEX), which is able to evaluate the effect of more environmental variables than each conventional model. This model is expected to predict fish habitat suitability according to climate change more accurately.
 Keywords
Climate change;Habitat-hydraulic model;Habitat-physiologic model;Habitat suitability;Fish;
 Language
Korean
 Cited by
 References
1.
Ahn, J.M. and Lyu, S. 2013. Analysis of flow bed change on hydraulic structure using CCHE2D:Focusing on Changnyong-Haman. Journal of Korea Water Resources Association 46: 707-717. (in Korean) crossref(new window)

2.
Bovee, K.D., Lamb, B.L., Bartholow, J.M., Stalnaker, C.B., Taylor, J. and Henriksen, J. 1998. Stream Habitat Analysis Using the Instream Flow Incremental Methodology. U.S. Geological Survey, Biological Resources Division Information and Technology Report USGS/BRD-1998-0004, Fort Collins, CO, USA.

3.
Bradley, B.A., Olsson, A.D., Wang, O., Dickson, B.G., Pelech, L., Sesnie, S.E. and Zachmann, L.J. 2012. Species detection vs. habitat suitability: Are we biasing habitat suitability models with remotely sensed data? Ecological Modelling 244: 57-64. crossref(new window)

4.
Choi, H.S., 2008. Effect on water quality and fish habitat improvement of Wonju cheon by instream flow increasing. Journal of Wetlands Research 10: 57-68. (in Korean)

5.
Dyer, F., Sawah, S.E., Lucena-Moya, P., Harrison, E., Croke, B., Tschierschke, A., Griffiths, R., Brawata, R., Kath, J., Reynoldson, T. and Jakeman, T. 2013. Predicting Water Quality and Ecological Responses. National Climate Change Adaption Research Facility, Gold Coast, Australia.

6.
Franklin, J. 2009. Mapping Species Distributions: Spatial Inference and Prediction. Cambridge University Press, Cambridge, UK.

7.
Gallien, L., Munkemüller, T., Albert, C.H., Boulangeat, I. and Thuiller, W. 2010. Predicting potential distributions of invasive species: where to go from here? Diversity and Distributions 16: 331-342. crossref(new window)

8.
Gard, M. 2009. Comparison of spawning habitat predictions of PHABSIM and River2D models. International Journal of River Basin Management 7: 55-71. crossref(new window)

9.
Hirzel, A.H. and Lay, G.L. 2008. Habitat suitability modelling and niche theory. Journal of Applied Ecology 45: 1372-1381. crossref(new window)

10.
Hooper, M.J., Andley, G.T., Cristol, D.A., and Maryoung, L.A., Noyes, P.D. and Pinkerton, K.E. 2013. Interactions between chemical and climate stressors: A role for mechanistic toxicology in assessing climate change risk. Environmental Toxicology and Chemistry 32: 32-48. crossref(new window)

11.
Hudson, H.R., Byrom, A.E. and Chadderton, L. 2003. A Critique of IFIM - Instream Habitat Simulation in the New Zealand Context. Science for Conservation 231, Department of Conservation, Wellington, New Zealand.

12.
IPCC. 2013. Climate Change 2013: Physical Science Basis. Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK.

13.
Joo, G.J., Kim, D.H., Yoon, J.D. and Jeong, K.S. 2008. Climate changes and freshwater ecosystems in South Korea. Korean Society of Environmental Engineers 30: 1190-1196. (in Korean)

14.
Jung, S., Jang, J. and Choi, S-U. 2012. Physical habitat modeling in Dalcheon stream using fuzzy logic. Journal of Korea Water Resources Association 45: 229-242. (in Korean) crossref(new window)

15.
Kearney, M. 2006. Habitat, environment and niche:what are we modelling? Oikos 115: 186-191. crossref(new window)

16.
Kearney, M. and Porter, W. 2009. Mechanistic niche modelling: combining physiological and spatial data to predict species ranges. Ecology Letters 12: 334-350. crossref(new window)

17.
Kim, K-O. 2015. Estimation of Ecological Flow and Habitat Suitability Index for Species at Jeoju-cheon upstream. Master Thesis, Chonbuk National University, Jeonju, Korea. (in Korean)

18.
Kim, S.J. 2011. Impact of Climate Change on Water Resources and Ecological Habitat in a River Basin. Ph.D. Dissertation, Inha University, Incheon, Korea. (in Korean)

19.
Kim, S.K., and Choi, S-U. 2015. Simulation of change in physical habitat of fish using the mobile bed model in a downstream river of dam. Ecology and Resilient Infrastructure 2: 317-323. (in Korean) crossref(new window)

20.
Koehn, J.D. 2004. Carp (Cyprinus carpio) as a powerful invader in Australian waterways. Freshwater Biology 49: 882-894. crossref(new window)

21.
Kriticos, D.J., Maywald, G.F., Yonow, T., Zurcher, E.J., Herrmann, N.I. and Sutherst, R.W. 2015. CLIMEX Version 4: Exploring the Effects of Climate on Plants, Animals and Diseases. Commonwealth Scientific and Industrial Research Organisation, Canberra, Australia.

22.
Lee, J.H., Jeong, S.M., Lee, M.H. and Lee, Y.S. 2006. Estimation of instream flow for fish habitat using instream flow incremental methodology (IFIM) for major tributaries in Han river basin. Journal of the Korean Society of Civil Engineers B 26: 153-160. (in Korean)

23.
Lee, S., Kim, S.K. and Choi, S-U. 2014. Physical habitat simulation considering stream morphology change due to flood. Journal of the Korean Society of Civil Engineers 34: 805-812. (in Korean) crossref(new window)

24.
Li, J., Xia, Z. and Wang, Y. 2013. A time-series model for assessing instantaneous physical conditions in carp habitats. Ecohydrology 6: 393-401. crossref(new window)

25.
Macura, V., Stefunkova, Z. and Skrinar, A. 2016. Determination of the effect of water depth and flow velocity on the quality of an in-stream habitat in terms of climate change. Advances in Meteorology doi:10.1155/2016/4560378. crossref(new window)

26.
Milhous, R. 1999. History, Theory, Use, and Limitations of the Physical Habitat Simulation System. Proceedings of the 3rd International Symposium on Ecohydraulics, Utah, USA.

27.
MOE. 2013. Development of Integrated Prediction Model in Aquatic Ecosystem (I). Ministry of Environment, Sejong, Korea. (in Korean)

28.
Mouton, A.M., Schneider, M., Depestele, J., Goethals, P.L.M. and Pauw, N.D. 2007. Fish habitat modelling as a tool for river management. Ecological Engineering 29: 305-315. crossref(new window)

29.
Oh, K.R., Jeong, S.M., Lee, J.H., Choi, G.W. and Kim, D.H. 2008. Estimation of optimum flow needed for fish habitat by application of one and two dimensional physical habitat simulation model focused on Zacco Platypus. Journal of Korean Society of Hazard Mitigation 8: 117-123. (in Korean)

30.
Park, C-S. 2010. Evaluation of Instreamflow for Fish Habitat and Water Quality in the Seonghwan Stream. Master Thesis. Kongju National University, Kongju, Korea. (in Korean)

31.
Park, M.O. 2012. Study on Physical Characteristics Variation of Fish Habitat by Influence of Climate Change. Ph.D. Dissertation. Dong-Shin University, Naju, Korea. (in Korean)

32.
Rose, G.A., Young, B., Kulka, D.W., Goddard, S.V. and Fletcher, G.L. 2000. Distribution shifts and overfishing the northern cod (Gadus morhua): a view from the ocean. Canadian Journal of Fisheries and Aquatic Science 57: 644-663. crossref(new window)

33.
Schneider, M., Noack, M., Gebler, T. and Kopecki, I. 2010. Handbook for the Habitat Simulation Model CASiMiR. Translated by Tuhtan, J., Schneider & Jorde Ecological Engineering GmbH and University of Stuttgart Institute of Hydraulic Engineering, Stuttgart, Germany.

34.
Sung, Y.D., Park, B.J., Joo, G.J. and Jung, K.S. 2005. The estimation of ecological flow recommendations for fish habitat. Journal of Korea Water Resources Association 38: 545-554. (in Korean) crossref(new window)

35.
Taylor, S. and Kumar, L. 2013. Potential distribution of an invasive species under climate change scenarios using CLIMEX and soil drainage: A case study of Lantana carnara L. in Queensland, Australia. Journal of Environmental Management 114: 414-422. crossref(new window)

36.
Thorn, P. and Conallin, J. 2006. RHYHABSIM as a stream management tool: Case study in the river Kornerup catchment, Denmark. The Journal of Transdisciplinary Environmental Studies 5: 1-18.

37.
Vigano, G., Confortola, G., Fornaroli, R., Cabrini, R., Canobbio, S., Mezzanotte, V. and Bocchiola, D. 2015. Effects of future climate change on a river habitat in an Italian alpine catchment. Journal of Hydrologic Engineering 10.1061/(ASCE)HE.1943-5584.0001293,04015063. crossref(new window)

38.
WDFW. 1996. Instream Flow Study Guidelines. Washington Department of Fish and Wildlife, Olympia, WA, USA.

39.
Wu, W., Inthasaro, P., He, Z. and Wang, S.S.Y. 2006. Comparison of 1-D and depth-averaged 2-D fish habitat suitability models. Proceedings of the Seventh International Conference on Hydroscience and Engineering. Philadelphia, USA. pp. 1-10.