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State of knowledge on the development of multimetric index based on benthic macroinvertebrates in West Africa

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Houeyi BP Capo-Chichi, Delphine Adandedjan, Thierry M Agblononon Houelome, Philippe A Laleye

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J. Bio. Env. Sci.18( 6), 48-63, June 2021


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The use of bioindicators is a widely used approach to assess the ecological status of aquatic ecosystems with respect to its many benefits. This work provides a literature review on the state of knowledge on the development of multimetric index based on benthic macroinvertebrates in West Africa. Thus, after a brief definition of benthic macroinvertebrates, the reasons for the use of benthic macroinvertebrates in bioindication were presented. This was followed by a presentation of the different methods of water quality assessment based on benthic macroinvertebrates. Finally, the different multimetric indexes based on benthic macroinvertebrates developed in West Africa were summarized. The development of multimetric index based on benthic macroinvertebrates is a recent approach in West Africa. African researchers have therefore adopted this approach, which can be used for the assessment of aquatic ecosystems in sub-Saharan Africa. This innovative approach opens the prospect of the elaboration of Beninese multimetric index based on bio-indicators present in the waters of coastal lagoons and channels of Benin in the perspective of a better knowledge of the richness of these environments.


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State of knowledge on the development of multimetric index based on benthic macroinvertebrates in West Africa

Adandédjan D. 2012. Diversity and determinism of benthic macroinvertebrate populations in two lagoons of South Benin: the Porto-Novo Lagoon and the Coastal Lagoon. PhD thesis, University of Abomey-Calavi-Benin 261 p.

AFNOR. 2004. Determination of the global normalized biological index (GNI).

Agblonon Houelome TM, Adandedjan D, Chikou A, Imorou Toko I, Bonou C, Youssao I, Laleye P. 2016. Evaluation of the water quality of streams in the middle course of the Alibori River by studying benthic macroinvertebrates in the cotton basin of Benin (West Africa). International Journal of Biological and Chemical Sciences 10(6), 2461-2476, December 2016.

Agblonon Houelome TM, Adandedjan D, Chikou A, Imorou Toko I, Koudenoukpo C, Bonou C, Youssao I, Laleye P. 2017. Inventory and faunal characteristics of macroinvertebrates of the Alibori River in the cotton basin of Benin. International Journal of Innovation and Applied Studies, ISSN 2028-9324 21, 433-448.

Agblonon Houelome TM. 2018. Macroinvertebrates and ecological quality of the Alibori River in the cotton basin of Benin. PhD thesis, University of Abomey-Calavi, Benin 249 p.

Alonso C, García de Jalón D, Marchamalo M. 2011. Fish communities as indicators of biological conditions of rivers: methods for reference conditions. Ambientalia SPI 1-12.

Apfelbeck R. 2001. Montana reference condition questionnaire summary, Reference Condition Subgroup, Montana Department of Environmental Science. http://www.water. montana. edu/ watersheds /mwcc/workgroups/RCresponse.

Applegate JM, Baumann PC, Emery EB, Wooten MS. 2007. First step in developing multimetric macroinvertebrates index for the Ohio River. River Research and Applications 23, 683-697.

Archaimbault V, Usseglio-Polatera P, Garric J, Wasson JG, Babut M. 2010. Assessing in situ toxic sediment pollution in streams with benthic macroinvertebrate bio- ecological traits. Freshwater Biology 55, 1430-1446.

Archaimbault V, Usseglio-Polatera P, Vanden Bossche J-P. 2005. Functional differences among benthic macroinvertebrate communities in reference streams of same order in a given biogeographic area. Hydrobiologia 551, 171-182.

Archaimbault V. 2003. Bio-ecological responses of benthic macroinvertebrates to disturbances: the basis of a functional diagnostic tool for flowing water ecosystems. Biodiversity and Ecosystem Functioning Laboratory. Metz, Université Paul Verlaine 332.

Aura CM, Kimani E, Musa S, Kundu R, Njiru JM. 2017. Spatio-temporal macroinvertebrate multi-index of biotic integrity (MMiBI) for a coastal river basin: A case study of River Tana, Kenya. Ecohydrology & Hydrobiology 17, 113-124. https://doi.org/10.1016/j. ecohyd.2016.10.001.

Bailey RC, Norris RH, Reynoldson TB. 2004. Bioassessment of freshwater ecosystems using the reference condition approach (p. 170). Norwell: Kluwer Academic Publishers.

Barbour MT, Gerritsen J, Griffith GE, Frydenborg R, McCarron E, White JS, Bastian ML. 1996. A framework for biological criteria for Florida streams using benthic macroinvertebrates. Journal of the North American Benthological Society 15, 185-211.

Barbour MT, Gerritsen J, Snyder BD, Stribling JB. 1999. Rapid Bioassessment Protocols for Use in Streams and Wadeable Rivers: Periphyton, Benthic Macroinvertebrates and Fish. Second Edition. U.S. Environmental Protection Agency, Office of Water, Washington, DC, USA. WA. EPA 841-B-99-002.

Barbour MT, Paul MJ. 2010. Adding value to water resource management through biological assessment of rivers. Hydrobiologia 651, 17-24.

Barbour MT, Stribling JB, Karr JR. 1995. Multimetric approach for establishing biocriteria and measuring biological condition. In: Davis, W.S., Simon, T.P. (Eds.), Biological Assessment and Criteria: Tools for Water Resources Planning and Decision Making. Lewis Publishers, Boca Raton, Florida pp. 63-77.

Barbour MT, Swietlik WF, Jackson SK, Courtemanch DL, Davies SP, Yoder CO. 2000. Measuring the attainment of biological integrity in the USA: a critical element of ecological integrity. Hydrobiologia 422 (423), 453-464.

Beauchamp J. 2003. Coastal pollution, D.E.S.S. Water Quality and Management, University of Picardy Jules Verne, http://www.U-picardie.fr/ beauchamp/ cours.qge/pol- litt/pol-litt.htm.

Ben Moussa A, Chahlaoui A, Rour E, Chahboune M. 2014. Taxonomic diversity and structure of the benthic macrofauna of the surface waters of the Khouman wadi. Journal of Materials and Environmental Science 5(1), 183-198.

Bergé A. 2012. Identification of sources of alkylphenols and phthalates in urban areas. Comparison of predominantly urban (Domestic) versus purely industrial discharges. PhD thesis in environmental and universal sciences. Université Paris-Est 290 p.

Bloundi MK. 2005. Geochemical study of the lagoon of Nador (Eastern Morocco): Impacts of anthropogenic factors, Thesis in joint supervision of the School and Observatory of Earth Sciences, University Mohamed V- Agdal 215 p.

Bonada N, Prat N, Resh VH, Statzner B. 2006. Developments in aquatic insect biomonitoring: A comparative analysis of recent approaches. Annual Review of Entomology 51, 495-523.

Bournaud M, Richoux P, Usseglio-Polatera P. 1992. An approach to the synthesis of qualitative ecological information from aquatic coleoptera communities. Regulated Rivers: Research and Management 7, 165-180.

Bryce SA, Hughes RM, Kaufmann PR. 2002. Development of a Bird Integrity Index: Using bird assemblages as indicators of riparian condition. Environmental Management  30, 294-310.

Cadotte MW, Carscadden K, Mirotchnick N. 2011. Beyond species: functional diversity and the maintenance of ecological processes and services. Journal of Applied Ecology: no-no.

Cairns JJr, Dickson KL. 1971. A simple method for the biological assessment of the effects of waste discharges on aquatic bottom-dwelling organisms. J Water Pollut Control Fed 43, 755-772.

Cao Y, Hawkins CP. 2005. Simulating biological impairment to evaluate the accuracy of ecological indicators. Journal of Applied Ecology 42, 954-965.

Capo-Chichi HBP, Adandédjan D, Agadjihouèdé H, Agblonon Houélomè MT, Lalèyè PA. 2018. Diversity of benthic macroinvertebrates in the Toho-Todougba lagoon complex in Southwest Benin. Bulletin de la Recherche Agronomique du Bénin (BRAD). Special Issue on Sustainable Agricultural Development (DAD)-December 2018. ISSN on paper: 1025-2355.

Charvet S, Kosmala A, Statzner B. 1998. Biomonitoring through biological traits of benthic macroinvertebrates: perspectives for a general tool in stream management. Archiv Fur Hydrobiologie 142, 415-432.

Chevenet F, Dolédec S, Chessel D. 1994. A fuzzy coding approach for the analysis of long-term ecological data. Freshwater Biology 31, 295-309.

Chirwa ER, Chilima L. 2017. Use of benthic macroinvertebrate index as bioindication of ecosystem health for the detection of degraded landscape in Malawi. International Journal of Agriculture, Forestry and Fisheries 5(6), 128-134.

Colas F, Archaimbault V, Devin S. 2011. Scale-dependency of macroinvertebrate communities: Responses to contaminated sediments within run-of-river dams. Science of the Total Environment 409, 1336-1343.

Devin S, Beisel JN, Usseglio-Polatera P, Moreteau JC. 2005. Changes in functional biodiversity in an invaded freshwater ecosystem: the Moselle River. Hydrobiologia 542, 113-120.

Diomande D, Kpai N, Kouadio KN, Da Costa SK, Gourene G. 2013. Spatial distribution and structure of benthic macroinvertebrates in an artificial reservoir: Taabo Lake (Ivory Coast). International Journal of Biological and Chemical Sciences 7, 1503-1514.

Dolédec S, Olivier JM, Statzner B. 2000. Accurate description of the abundance of taxa and their biological traits in stream invertebrate communities: effects of taxonomic and spatial resolution. Archiv Fur Hydrobiologie 148, 25-43.

Dolédec S, Statzner B, Bournaud M. 1999. Species traits for future biomonitoring across ecoregions: patterns along a human-impacted river. Freshwater Biology 42, 737-758.

Dolédec S. 2009. Development of bioassessment methods in flowing waters: from biotic index to biological traits. La Houille Blanche. DOI: 10.1051/lhb/2009051.

Economou N. 2002. Development, evaluation & implementation of a standardised fish- based assessment method for the ecological status of European rivers-a contribution to the Water Framework Directive (FAME). Defining reference conditions (D3) Final Report Alcibiades N. Economou. National Centre for Marine Research, EL 59.

Edegbene AO, Arimoro FO, Odume ON. 2019b. Developing and applying a macroinvertebrate-based multimetric index for urban rivers in the Niger Delta, Nigeria. Ecology and Evolution 9, 12869–12885. DOI: 10.1002/ece3.5769.

Edegbene AO, Elakhame LA, Arimoro FO, Osimen EC, Odume ON. 2019a. Development of macroinvertebrates multimetric index for ecological evaluation of a river in North Central Nigeria. Environmental Monitoring and Assessment 191, 274. https://doi. org/10.1007/s10661-019-7438-8.

EPA 2002. Amphibian Index of Biotic Integrity (AmphIBI) for Wetlands; Ohio Environmental Protection Agency, Wetland Ecology Group, Division of Surface Water: Columbus, Ohio, USA 2002.

Friberg N, Bonada N, Bradley DC, Dunbar MJ, Edwards FK, Grey J, Hayes RB, Hildrew AG, Lamouroux N, Trimmer M. 2011. Biomonitoring of human impacts in freshwater ecosystems: the good, the bad and the ugly. Advances in Ecological Research 44, 1-68.

Gabriels W, Lock K, De Pauw N, Goethals PLM. 2010. Multimetric Macroinvertebrate Index Flanders (MMIF) for biological assessment of rivers and lakes in Flanders (Belgium). Limnologica 40, 199-207.

Gayraud S, Statzner B, Bady P, Haybach A, Schöll F, Usseglio-Polatera P, Bacchi M. 2003. Invertebrate traits for biomonitoring of large European rivers: An initial assessment of alternative metrics. Freshwater Biology 48, 2045-2064.

Gerhardt A, Janssens De Bisthoven L, Soares AMVM. 2004. Macroinvertebrate response to acid mine drainage: community metrics and on-line behavioural toxicity bioassay. Environmental Pollution 130, 263-274.

Gilbert F, Hulth S, Grossi V, Poggiale JC, Desrosiers G, Rosenberg R, Gérino M, François-Carcaillet F, Michaud E, Stora G. 2007. Sediment Reworking by Marine Benthic Species from the Gullmar Fjord (Western Sweden): Importance of Faunal Biovolume. Journal of Experimental Marine Biology and Ecology 348(1-2), 133-44.

GREBE. 1991. The Global Biological Index. Assessment of the application to the National Basin Network of the AFNOR experimental standard. Inter-Agency Water Contract Report.

Haybach A, Schöll F, König B, Kohmann F. 2004. Use of biological traits for interpreting functional relationships in large rivers. Limnologica 34, 451-459.

Hellawell JM. 1978. Biological surveillance of Rivers. Water Research Center, Stevenage, England.

Hering D, Christian K, Otto Moog F, Ofenböck T. 2006b. Cook book for the development of a Multimetric Index for biological condition of aquatic ecosystems: experiences from the European AQEM and STAR projects and related initiatives. Hydrobiologia 566, 311-324.

Hering D, Johnson RK, Buffagni A. 2006a. Linking organism groups- major results and conclusions from the STAR project. Hydrobiologia 566, 109-113.

Hill BH, Herlihy AT, Kaufmann PR, De Celles SJ, Vander Borgh MA. 2003. Assessment of streams of the eastern United States using a periphyton index of biotic integrity. Ecological Indicator 2, 325-338.

Kaboré I, Moog O, Ouéda A, Sendzimir J, Ouédraogo R, Guenda W, Melcher AH. 2017. Developing reference criteria for the ecological status of West African rivers. Environmental Monitoring and Assessment (2018) 190, 2 https://doi. org/10.1007/s10661-017-6360-1.

Kaboré I. 2016. Benthic invertebrate assemblages and assessment of ecological status of water bodies in the Sahelo Soudanian area (Burkina Faso, West Africa). Doctorat Thesis. University of Natural Resources and Life Sciences, Vienna Austria. 242p.

Kangalawe RYM, Liwenga ET. 2005. Livelihoods in the wetlands of Kilombero Valley in Tanzania: opportunities and challenges to integrated water resource management. Physics and Chemistry of the Earth 30 (11-16), 968-975.

Karr JR, Chu EW. 1999. Restoring life in running waters. Better Biological. Monitoring. Island Press, Washington, DC.

Karr JR. 1981. Assessment of Biotic Integrity Using Fish Communities. Fisheries 6, 21-27.

Keefe TJ, Bergersen EP. 1977. A simple diversity index based on the theory of runs. Water Resources 11, 689-691.

Kengne Fotsing J. 2018. Bio-assessment of rivers in the West region of Cameroon using benthic macroinvertebrates and construction of a regional multimetric index. PhD thesis, University of Lille 222p.

Kimberling DN, Karr JR, Fore LS. 2001. Measuring human disturbance using terrestrial invertebrates in the shrub-steppe of eastern Washington (USA). Ecological Indicator 1, 63-81.

Klemm DJ, Blocksom KA, Thoeny WT, Fulk FA, Herlihy AT, Kaufmann PR, Cormier SM. 2002. Methods development and use of macroinvertebrates as indicators of ecological conditions for streams in the mid-Atlantic highlands region. Environmental Monitoring and Assessment  78, 169-212.

Kokes J, Zahradkova S, Nemejcova D, Hodovsky J, Jarkovsky J, Soldan T. 2006. The PERLA system in the Czech Republic: a multivariate approach for assessing the ecological status of running waters. Hydrobiologia 566, 343-354.

Kolkwitz R, Marsson M. 1902. Grundsa ¨tze fu ¨r die biologische Beurteilung des Wassers nach seiner Flora und Fauna. Mitteilungen der ko ¨niglichen Pru ¨fanstalt fu ¨r Wasserversorgung und Abwasserbeseitigung 1, 33-72.

Kouadio KN, Diomande D, Ouattara A, Kone YJM, Gourène G. 2008. Taxonomic diversity and structure of benthic macroinvertebrates in Aby Lagoon (Ivory Coast, West Africa). Pakistan Journal of Biological Sciences 11, 2224-2230.

Lakew A, Moog O. 2015. A multimetric index based on benthic macroinvertebrates for assessing the ecological status of streams and rivers in central and southeast highlands of Ethiopia. Hydrobiologia 751, 229-242. 

Leaute F. 2008. Biogeochemistry of organic contaminants PAHs, PCBs and organochlorine pesticides in the sediments of the Thau Lagoon. Doctoral thesis from the Pierre and Marie Curie University 255 p.

Lecerf A, Usseglio-Polatera P, Charcosset JY, Lambrigot D, Bracht B, Chauvet E. 2006. Assessment of functional integrity of eutrophic streams using litter breakdown and benthic macroinvertebrates. Archiv für Hydrobiologie 165, 105-126.

Linke S, Norris RH, Faith DP, Stockwell D. 2005. ANNA: a new prediction method for biossessment programs. Freshwater Biology 50, 147-158.

Lücke JD, Johnson RK. 2009. Detection of ecological change in stream macroinvertebrate assemblages using single metric, multimetric or multivariate approaches. Ecological Indicators 9(4), 659-669. DOI: 10.1016/j.ecolind.2008.08.005.

MacArthur RH. 1972. Geographical ecology patterns in the distribution of species, New York Harper & Row. 269 pp.

Margalef R. 1958. Information theory in Ecology. General Systems 3, 36-71.

Marzin A, Archaimbault V, Belliard J, Chauvin C, Delmas F, Pont D. 2012. Ecological assessment of running waters: Do macrophytes, macroinvertebrates, diatoms and fish show similar responses to human pressures? Ecological Indicators 23, 56-65.

Masese FO, Raburu PO, Muchuri M. 2009. A preliminary benthic macroinvertebrate index of biotic integrity (B-IBI) for monitoring the Moiben River, Lake Victoria Basin, Kenya. African Journal of Aquatic Science 34, 1-14.

Menetrey N, Oertli B, Lachavanne JB. 2011. The CIEPT: a macroinvertebrates based multimetric index for assessing the ecological quality of Swiss lowland pond. Ecological Indicator 11, 590-600.

Menétrey Perrottet N. 2009. Development of a method for assessing the ecological quality of small water bodies based on macroinvertebrate communities. PhD thesis, University of Geneva 188p.

Menezes S, Baird DJ, Soares A. 2010. Beyond taxonomy: A review of macroinvertebrate trait-based community descriptors as tools for freshwater biomonitoring. Journal of Applied Ecology 47, 711-719.

Menhinick EF. 1964. Comparison of Some Species-Individuals Diversity Indexes Applies to Samples of Field Insects. Ecology 45, 859-861.

Mereta ST, Boets P, De Meester L, Goethals PL. 2013. Development of a multimetric index based on benthic macroinvertebrates for the assessment of natural wetlands in Southwest Ethiopia. Ecological Indicators 29, 510-521.

Metcalfe JL. 1989. Biological Water Quality Assessment of Running Waters Based on Macroinvertebrate Communities: History and Present Status in Europe. Environmental Pollution 60, 101-139.

Mondy CP, Usseglio-Polatera P. 2013. Using conditional tree forests and life history traits to assess specific risks of stream degradation under multiple pressure scenario. Science of the Total Environment 461/462, 750-760.

Mondy CP, Villeneuve B, Archaimbault V, Usseglio-Polatera P. 2012. A new macroinvertebrate-based multimetric index (I2M2) to evaluate ecological quality of French wadeable streams fulfilling the WFD demands: A taxonomical and trait approach. Ecological Indicators 18, 452-487.

Moog O, Sharma S. 2005. Guidance for pre-classifying the ecological status of HKH Rivers. Deliverable 7b for ASSESSHKH, European Commission: 27p. Available from: http:// www. assess-hkh.at

Moog O, Stubauer I. 2003. Adapting and implementing common approaches and methodologies for stress and impact analysis with particular attention to hydromorphological conditions. Final report, UNDP/GEF DANUBE REGIONAL PROJECT strengthening the implementation capacities for nutrient reduction and transboundary cooperation in the Danube River basin; activity 1.1.2

Moss D, Wright JF, Furse MT, Clarke RT. 1999. A comparison of alternative techniques for prediction of the fauna of running-water sites in Great Britain. Freshwater Biology 41, 167-181.

Murphy JF, Davy-Bowker J, McFarland B, Ormerod SJ. 2013. A diagnostic biotic index for assessing acidity in sensitive streams in Britain. Ecological Indicators 24, 562- 572.

Nichols S, Weber S, Shaw B. 2000. A proposed aquatic plant community biotic index for Wisconsin lakes. Environmental Management 26, 491-502.

Nijboer RC, Jhonson RK, Verdonschot PFM, Sommerhaüser M, Buffagni A. 2004. Establishing reference conditions for European streams. Hydrobiologia 516, 91 -105.

Nyamsi TNL, Foto MS, Zébazé TSH, Onana FM, Adandédjan D, Tchakonté S, Yémélé TC, Koji E, Njiné T. 2014. Multimetric Index of Benthic Macroinvertebrates in Yaoundé (IMMY) for the Biological Evaluation of the Quality of River Water in the South Central Forest Region of Cameroon. European Journal of Scientific Research. ISSN 1450-216X / 1450-202X 123(4), 412-430.

Odountan H, Abou Y. 2015. Can macroinvertebrate assemblage changes be used as biological indicator of water quality of the Nokoue Lake (Benin). Journal of Environmental Protection 6, 1402-1416.

Odume ON, Muller WJ, Arimoro FO, Palmer CG. 2012. The impact of water quality deterioration on macroinvertebrate communities in the Swartkops River, South Africa: A multimetric approach. African Journal of Aquatic Science 37, 191-200.

Ofenböck T, Moog O, Gerritsen J, Barbour M. 2004. A stressor specific multimetric approach for monitoring running waters in Austria using benthic macro- invertebrates. Hydrobiologia 516, 251- 268.

Ollis DJ, Dallas HF, Esler KJ, Boucher C. 2006. Bioassessment of the ecological integrity of river ecosystems using aquatic macroinvertebrates: an overview with a focus on South Africa. African Journal of Aquatic Science 31, 205-227.

Parsons M, Norris RH. 1996. The effect of habitat-specific sampling on biological assessment of water quality using a predictive model. Freshwater Biology 36, 419-434.

Raburu PO, Masese FO, Mulanda CA. 2009. Macroinvertebrate Index of Biotic Integrity (M-IBI) for monitoring rivers in the upper catchment of Lake Victoria Basin, Kenya. Aquatic Ecosystem Health & Management 12(2), 197-205.

Reynoldson TB, Bailey RC, Day KE, Norris RH. 1995. Biological guidelines for freshwater sediment based on Benthic Assessment of SedimenT (BEAST) using a multivariate approach for predicting biological state. Australian Journal of Ecology 20, 198-219.

Rosenberg DM, Resh VH. 1993. Freshwater biomonitoring and benthic macroinvertebrates. New York, Chapman & Hall 488 pp.

Rosgen PH. 1998. the reference reach- a blueprint for natural chennal design. Wetlands Engineering and River Restoration Conference 1998, March 22-27, 1998, Denver, Colorado, United States. https:// doi.org /10.1061/40382(1998)166

Rossaro B, Marziali L, Cardoso AC, Solimini A, Free G, Giacchini R. 2007. A biotic index using benthic macroinvertebrates for Italian lakes. Ecological Indicators 7, 412- 429.

Sanogo S. 2014. Inventory of macroinvertebrates in different water bodies of the Volta Basin for the identification of bioindicator taxa in a continuum of hydro-agricultural dam-effluent-River in Burkina Faso. Single PhD thesis in rural development 198p.

Shannon CE, Weaver W. 1949. The mathematical theory of communication, Urbana, IL: University of Illinois Press 117 pp.

Sharma S, Moog O. 1996. The applicability of biotic index and scores in water quality assessment of Nepalese rivers. Proceedings of the Ecohydrology Conference in High Mountain Area, Katmandu 641-657.

Simpson EH. 1949. Measurement of Diversity. Nature 163, 688.

Snook DL, Milner AM. 2002. Biological traits of macroinvertebrates and hydraulic conditions in a glacier-fed catchment (French Pyrenees). Archiv Fur Hydrobiologie 153, 245-271.

Sommerhäuser M, Robert S, Birk S, Hering D, Moog O, Stubauer I, Ofenböck T. 2003. Activity 1.1.6 Developing the typology of surface waters and defining the relevant reference conditions. Final Report, 97 pp. UNDP/GEF DANUBE REGIONAL PROJECT strengthening the implementation capacities for nutrient reduction and transboundary cooperation in the Danube.

Statzner B, Bis B, Dolédec S, Usseglio-Polatera P. 2001. Perspectives for biomonitoring at large spatial scales: a unified measure for the functional composition of invertebrate communities in European running waters. Basic and Applied Ecology 2, 73-85.

Statzner B, Resh VH, Dolédec S. 1994. Ecology of the Upper Rhône River: a test of habitat templet theories. Freshwater Biology 31, 253-556.

Stoddard JL, Larsen DP, Hawkins CP, Johnson RK, Norris RH. 2006. Setting expectations for the ecological condition of streams: the concept for reference condition. Ecological Applications 16(4), 1267-1276. Doi: 10.1890/1051- 0761(2006)016[1267:seftec] 2.0.co;2

Sylvestre S. 2006. Invertebrate biomonitoring field and laboratory manual for running water habitats. Canadian Aquatic Biomonitoring Network (CABIN), Environment Canada, Pacific and Yukon Region 56 pp.

Tachet H, Richoux P, Bournaud M, Usseglio-Polatera P. 2002. Invertebrates in freshwater. Systematics, biology, ecology. CNRS Editions, Paris, France 587 p.

Tachet H, Richoux P, Bournaud M, Usseglio-Polatera P. 2010. Invertebrates in fresh water. Systematics, Biology, Ecology. (Ed.) Paris, CNRS Editions.

Tachet H, Richoux P, Bourneau M, Richoux Ph. 1987. Introduction à l’étude des macroinvertébés des eaux fraîces (Systématique élémentaire et aperçu écologique),3rd edition 151 p.

Tampo L, Lazar IM, Kaboré I, Oueda A, Akpataku KV, Djaneye- Boundjou G, Bawa LM, Lazar G, Guenda W. 2020. A multimetric index for assessment of aquatic ecosystem health based on macroinvertebrates for the Zio river basin in Togo, Limnologica 83 (2020) 125783.

Ter Braak CJF, Verdonschot PFM. 1995. Canonical correspondence analysis and related multivariate methods in aquatic ecology. Aquatic Sciences 57, 255 -289.

Thorne RSTJ, Williams WP. 1997. The response of benthic macroinvertebrates to pollution in developing coun- tries: a multimetric system of bioassessment. Freshwater Biology 37, 671-686.

Townsend CR, Hildrew AG. 1994. Species traits in relation to a habitat templet for river systems. Freshwater Biology 31, 265-276.

Trichet-Arce E. 2013. Interest of the functional traits of macrobenthic communities in the dynamic diagnosis of biotic recovery of a river following restoration actions. PhD thesis. University of Lorraine 322p.

Tuffery G, Verneaux J. 1968. Method for determining the biological quality of running water. Codified use of bottom fauna inventories. Ministry of Agriculture (France), National Center for Technical Studies and Technological Research for Agriculture, Forests and Rural Equipment, Fishing and Fish Culture Section.

Turak E, Hose G, Waddell N. 2000. Australia Wide Assessment of River Health; New South Wales Bioassessment Report. 2a Final Report, Milestone Report 4. National River Health Program 65 pp.

Usseglio-Polatera P, Beisel JN. 2002. Longitudinal changes in macroinvertebrate assemblages in the Meuse River: anthropogenic effects versus natural change. River Research and Applications 18, 197-211.

Usseglio-Polatera P, Bournaud M, Richoux P, Tachet H. 2000. Biological and ecological traits of benthic freshwater macroinvertebrates: relationships and definition of groups with similar traits. Freshwater Biology 43, 175-205.

Van Den Broeck M, Waterkeyn A, Rhazi L, Grillas P, Brendonck L. 2015. Assessing the ecological integrity of endorheic wetlands, with focus on Mediterranean temporary ponds. Ecological Indicators 54, 1-11.https://doi.org/10.1016 /j.ecolind .2015.02.016.

Verdonschot PFM, Nijboer RC. 2004. Testing the European stream typology of the Water Framework Directive for macroinvertebrates. Hydrobiologia 516, 35-54.

Vieira NKM, Poff NL, DM Carlisle, Moulton II SR, Koski ML, Kondratieff BC. 2006. A database of lotic invertebrate traits for North America: U.S. Geological Survey Data Series 187, http:// pubs. water. usgs.gov/ds187.

Wallin M, Wiederholm T, Johnson RK. 2003. Final guidance on establishing reference conditions and ecological status class boundaries for inland surface waters. EU Common Implementation Strategy (CIS) for the Water Framework Directive.

Washington HG. 1984. Diversity, Biotic and Similarity Indexes. A Review with Special Relevance to Aquatic Ecosystems. Water Research 18, 653-694.

Woodiwiss FS. 1964. The Biological System of Stream Classification used by the Trent River Board. Chem. Ind-London. March 14, 443-447.

Wright JF, Sutcliffe DW, Furse MT. 2000. Assessing the biological quality of fresh waters: RIVPACS and other techniques. Freshwater Biological Association, Ambleside.

Zinsou HL. 2017. Ecology and diversity of benthic macroinvertebrates in the Ouémé Delta in Benin. Single doctorate in Agronomic Sciences from the University of Abomey-Calavi 204.