The "Fish Disease Index"
The health status of marine fishes - tools for the analysis and assessement
How can the health status of marine fishes be described? To answer this question, many data have to be collected. The health status of a fish is depending on the sum of its diseases, their effects on the fish and the risk to get sick. With the "Fish Disease Index", we have developed a tool that takes into account these complex interactions and, thus, facilitates the analysis and assessment of regional patterns and trends in the framework of marine environmental monitoring.
Background and Objective
Since the 1980s, the Thünen Institute of Fisheries Ecology is studying (as part of its monitoring programme on the status of the marine environment) the prevalence and regional distribution of fish diseases in the North Sea and Baltic Sea. We apply internationally standardised ICES procedures that are also used by other countries with similar monitoring programmes. In past, only regional patterns and temporal trends of single diseases were addressed and related to environmental stressors, such as contaminants, temperature, oxygen concentrations and salinity. With this approach, various and partly contradictory relationships were identified, and, thus, a more holistic assessment of the status of the marine environment was difficult to achieve. Therefore, we are developing a "Fish Disease Index (FDI)", which a) mathematically combines information on all diseases of an individual fish as well as impact factors and b) enables the analysis and assessment of regional and temporal patterns in the overall health status of fishes. The development of the FDI for dab (Limanda limanda) is almost finalised, for cod (Gadus morhua) and flounder (Platichthys flesus) it is underway.
For the calculation of the "Fish Disease Index (FDI)", the presence (yes/no), the severity (3 grades) and the effects of the diseases on the host (according to expert judgement) are taken into account. For dab, e.g., the FDI encompasses 9 regularly recorded externally visible diseases and parasites, and is presently expanded to also include data on liver tumours and liver histopathology. Since the risk of a fish to get sick is depending on its sex, age, length as well on the season, these variables derived from empirical data are mathematically incorporated in the FDI calculation as adjustment factors. For each fish, we calculate a FDI value. From this, mean values can be calculated for representative groups of fish, enabling conclusions on the health status of populations. For the assessment of the health status (good, medium, bad), the results are compared to longterm FDI data from the region under study. It is tested if the FDI exceeds threshold values which lead to proven negative impacts on the fitness of the fish (measured as condition factor). An assessment based on such criteria is a prerequisite for the use of the FDI as indicator meeting the requirements of the international marine protection conventions (OSPAR, HELCOM) and the EU Marine Strategy Framework Directive.
Data and Methods
Longterm data of the FI on diseases of marine fishes of the North Sea, Baltic Sea and adjacent areas are the basis for the calculation of the FDI. They have been obtained during reserach vessel cruises by applying internationally standardised procedures. We currently transfer the data to the newly established joint database of the Thünen fisheries research institutes.
Our Research Questions
How can the health status of marine fishes be mathematically described and assessed?
Which impact factors have to be taken into account in the calculations?
Based on which data can numerical assessment citeria be developed?
Results of the project have been published in numerous publications.
Example: Our FDI results indicate that there are regional differences in the health status of North Sea dab. In most areas, the mean FDI currently reflects a good or medium health status, but there are also areas where the health status of dab is bad and is apparently getting worse over time.
Dabrowska H, Kopko O, Lehtonen KK, Lang T, Waszak I, Balode M, Strode E (2017) An integrated assessment of pollution and biological effects in flounder, mussels and sediment in the southern Baltic Sea coastal area. Environ Sci Pollut Res 24(4):3626-3639, DOI:10.1007/s11356-016-8117-8
Vethaak AD, Davies IM, Thain JE, Gubbins MJ, Martinez-Gomez C, Robinson CD, Moffat CF, Burgeot T, Maes T, Wosniok W, Giltrap M, Lang T, Hylland K (2017) Integrated indicator framework and methodology for monitoring and assessment of hazardous substances and their effects in the marine environment. Mar Environ Res 124:11-20, DOI:10.1016/j.marenvres.2015.09.010
Lang T, Kruse R, Haarich M, Wosniok W (2017) Mercury species in dab (Limanda limanda) from the North Sea, Baltic Sea and Icelandic waters in relation to host-spacific variables. Mar Environ Res 124:32-40, DOI:10.1016/j.marenvres.2016.03.001
Lang T, Feist SW, Noguera PA, Bruno D (2015) Hyperpigmentation of common dab (Limanda limanda L.). Copenhagen: ICES, 5 p, ICES Ident Leafl Dis Paras Fish Shellfish 62
Lang T, Feist SW, Wosniok W, Vethaak AD (2012) Background document: externally visible fish diseases, macroscopic liver neoplasms, and liver histopathology. ICES Coop Res Rep 315:84-103
Davies IM, Gubbins MJ, Hylland K, Thain JE, Maes T, Martinez-Gomez C, Giltrap M, Burgeot T, Wosniok W, Lang T, Vethaak AD (2012) Technical annex: assessment criteria for biological effects measurements.. ICES Coop Res Rep 315:209-212
Vethaak AD, Lang T, Davies IM (2012) Technical annex: sampling and analysis for integrated chemical and biological effects monitoring in fish and shellfish. ICES Coop Res Rep 315:182-190
Wosniok W, Lang T (2009) Annex 7: Progress made in the modification of the Fish Disease Index (FDI) and the assessment of the ICES fish disease (update of OSPAR request 13/2008). In: Report of the Working Group on Pathology and Diseases of Marine Organisms. Copenhagen: ICES, pp 59-76
Lang T, Wosniok W (2008) Assessment of ICES fish disease data for the OSPAR quality status report 2010 using the Fish Disease Index (FDI) approach. ICES WGPDMO Rep 2008:52-60
Lang T, Wosniok W (2008) Status of the development and application of the Fish Disease Index (FDI), a tool of the assessment of wild fish disease data : OSPAR ASMO Document 08/6/6 Add. 1. OSPAR, 14 p
Lang T, Wosniok W (2008) The Fish Disease Index : a method to assess wild fish disease data in the context of marine environmental monitoring. Copenhagen: ICES, 13 p