An objective framework to test the quality of candidate indicators of good environmental status

Frontiers in Marine Science

Volumn 3, Issue MAY, 2016, Pages

  Queirós, Ana M ^a   Strong, James A ^b   Mazik, Krysia ^b   Carstensen, Jacob ^c   Bruun, John ^a   Somerfield, Paul J ^a   Bruhn, Annette ^c   Ciavatta, Stefano ^a   Flo, Eva ^d   Bizsel, Nihayet ^e   özaydinli, Murat ^e   Chuševe, Romualda ^f   Muxika, Iñigo ^g   Nygård, Henrik ^h   Papadopoulou, Nadia ⁱ   Pantazi, Maria ⁱ   Krause Jensen, Dorte ^c  

^a PLYMOUTH MARINE LABORATORY   (United Kingdom)

^b UNIVERSITY OF HULL   (United Kingdom)

^c AARHUS UNIVERSITY   (Denmark)

^d INSTITUT DE CIÈNCIES DEL MAR   (Spain)

^e DOKUZ EYLUL UNIVERSITY   (Turkey)

^f KLAIPEDA UNIVERSITY   (Lithuania)

^g MARINE RESEARCH DIVISION   (Spain)

^h FINNISH ENVIRONMENT INSTITUTE   (Finland)

ⁱ INSTITUTE OF OCEANOGRAPHY   (Greece)

Author keywords

Ecosystems; European union; Good environmental status; Indicator; Marine strategy framework directive; Pressure; Water framework directive (WFD)

Indexed keywords

EID: 85008889477     PISSN: None     EISSN: 22967745     Source Type: Journal    
DOI: 10.3389/fmars.2016.00073     Document Type: Article

References (105)

1. Anderson, D. M., Glibert, P. M., and Burkholder, J. M. (2002). Harmful algal blooms and eutrophication: nutrient sources, composition, and consequences. Estuaries 25, 704-726. doi: 10.1007/BF02804901
2. Balsby, T. J., Carstensen, J., and Krause-Jensen, D. (2013). Sources of uncertainty in estimation of eelgrass depth limits. Hydrobiologia 704, 311-323. doi: 10.1007/s10750-012-1374-8
3. Bloomfield, P. (2004). Fourier Analysis of Time Series: An Introduction. New York, NY: John Wiley & Sons.
4. Borenstein, M., Hedges, L. V., Higgins, J. P., and Rothstein, H. R. (2011). Introduction to Meta-Analysis. West Sussex, UK: John Wiley & Sons.
5. Borja, A., Elliott, M., Andersen, J. H., Cardoso, A. C., Carstensen, J., Ferreira, J. G., et al. (2013). Good Environmental Status of marine ecosystems: What is it and how do we know when we have attained it? Mar. Pollut. Bull. 76, 16-27. doi: 10.1016/j.marpolbul.2013.08.042
6. Borja, A., Galparsoro, I., and Franco, J. (2004). Observatorio de la Biodiversidad del Medio Marino de la Costa Vasca: Indicadores Medioambientales Marinos. Informe de la Fundaci3n AZTI para la Dirección de Biodiversidad del Departamento de Ordenación del Territorio y Medio Ambiente, del Gobierno Vasco, p. 115
7. Borja, A., Prins, T. C., Simboura, N., Andersen, J. H., Berg, T., Marques, J.-C., et al. (2014). Tales from a thousand and one ways to integrate marine ecosystem components when assessing the environmental status. Front. Mar. Sci. 1:72. doi: 10.3389/fmars.2014.00072
8. Boström, C., Baden, S., Bockelmann, A. C., Dromph, K., Fredriksen, S., Gustafsson, C., et al. (2014). Distribution, structure and function of Nordic eelgrass (Zostera marina) ecosystems: implications for coastal management and conservation. Aquat. Conserv. 24, 410-434. doi: 10.1002/aqc.2424
9. Bubinas, A., and Vaitonis, G. (2003). The analysis of the structure, productivity, and distribution of zoobenthocenoses in the Lithuanian economic zone of the Baltic Sea and the importance of some benthos species to fish diet. Acta Zool. Litu. 13, 114-124. doi: 10.1080/13921657.2003.10512555
10. Burrows, M. T., Smale, D., O'Connor, N., Rein, H. V., and Moore, P. (2014). Marine Strategy Framework Directive Indicators for UK Kelp Habitats Part 1: Developing Proposals for Potential Indicators. SAMS/MBA/QUB/UAber for JNCC Peterborough.
11. Carstensen, J., and Krause-Jensen, D. (2009). Fastlœggelse af Miljømål og Indsatsbehov ud fra Ålegrœs i de Indre Danske Farvende. Arbejdsrapport fra DMU nr. 256, Danmarks Miljøundersøgelser, Aarhus Universitet.
12. Carstensen, J., Conley, D. J., Andersen, J. H., and Ærtebjerg, G. (2006). Coastal eutrophication and trend reversal: A Danish case study. Limnol. Oceanogr. 51, 398-408. doi: 10.4319/lo.2006.51.1_part_2.0398
13. CBD (1999). Development of Indicators of Biological Diversity. Nairobi: Convention on Biological Diversity, subsidiary Body on Scientific, Technical and Technological Advice.
14. Chuševe, R., Nygård, H., Vaiciue, D., Daunys, D., and Zaiko, A. (2016). Application of signal detection theory approach for setting thresholds in benthic quality assessments. Ecol. Indic. 60, 420-427. doi: 10.1016/j.ecolind.2015.07.018
15. Ciavatta, S., and Pastres, R. (2011). Exploring the long-term and interannual variability of biogeochemical variables in coastal areas by means of a data assimilation approach. Estuar. Coast. Shelf Sci. 91, 411-422. doi: 10.1016/j.ecss.2010.11.006
16. Cloern, J. E. (2001). Our evolving conceptual model of the coastal eutrophication problem. Mar. Ecol. Prog. Ser. 210, 223-253. doi: 10.3354/meps210223
17. Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., et al. (1997). The value of the world's ecosystem services and natural capital. Nature 387, 253-260. doi: 10.1038/387253a0
18. Dale, V. H., and Beyeler, S. C. (2001). Challenges in the development and use of ecological indicators. Ecol. Indic. 1, 3-10. doi: 10.1016/S1470-160X(01)00003-6
19. Dixon, L., Kirkpatrick, G., Hall, E., and Nissanka, A. (2014). Nitrogen, phosphorus and silica on the West Florida Shelf: Patterns and relationships with Karenia spp. occurrence. Harmful Algae 38, 8-19. doi: 10.1016/j.hal.2014.07.001
20. Dobson, A. J. (2001). An Introduction to Generalized Linear Models. Boca Raton, FL: CRC press.
21. Doren, R. F., Trexler, J. C., Gottlieb, A. D., and Harwell, M. C. (2009). Ecological indicators for system-wide assessment of the greater everglades ecosystem restoration program. Ecol. Indic. 9, S2-S16. doi: 10.1016/j.ecolind.2008.08.009
22. Duarte, C. M. (1991). Seagrass depth limits. Aquat. Bot. 40, 363-377. doi: 10.1016/0304-3770(91)90081-F
23. Duarte, C. M., Borja, A., Carstensen, J., Elliot, M., Krause-Jensen, D., and Marba, N. (2015). Paradigms in the recovery of estuarine and coastal ecosystems. Estuaries and Coasts 38, 1202-1212. doi: 10.1007/s12237-013-9750-9
24. Duarte, C. M., Losada, I. J., Hendriks, I. E., Mazarrasa, I., and Marbà, N. (2013). The role of coastal plant communities for climate change mitigation and adaptation. Nat. Clim. Chang. 3, 961-968. doi: 10.1038/nclimate1970
25. Duarte, C. M., Marbà, N., Krause-Jensen, D., and Sánchez-Camacho, M. (2007). Testing the predictive power of seagrass depth limit models. Estuar. Coasts 30, 652-656. doi: 10.1007/BF02841962
26. EC (2008). Marine Strategy Framework Directive. 2008/56/EC. Official Journal of the European Union, 19-40 in EU.
27. EEA (2005). EEA Core Set of Indicators-Guide. Copenhagen: European Environment Agency.
28. Elliott, M. (2011). Marine science and management means tackling exogenic unmanaged pressures and endogenic managed pressures-a numbered guide. Mar. Pollut. Bull. 62, 651-655. doi: 10.1016/j.marpolbul.2010.11.033
29. EU (2014). Establishing a Framework for Maritime Spatial Planning. 2014/89/EU. Brussels: Official Journal of the European Union.
30. Fleischer, D., Grémare, A., Labrune, C., Rumohr, H., Berghe, E. V., and Zettler, M. L. (2007). Performance comparison of two biotic indices measuring the ecological status of water bodies in the Southern Baltic and Gulf of Lions. Mar. Pollut. Bull. 54, 1598-1606. doi: 10.1016/j.marpolbul.2007.06.011
31. Fleischer, D., and Zettler, M. L. (2009). An adjustment of benthic ecological quality assessment to effects of salinity. Mar. Pollut. Bull. 58, 351-357. doi: 10.1016/j.marpolbul.2008.10.016
32. Graneli, E., Weberg, M., and Salomon, P. S. (2008). Harmful algal blooms of allelopathic microalgal species: the role of eutrophication. Harmful Algae 8, 94-102. doi: 10.1016/j.hal.2008.08.011
33. Greve, T., and Krause-Jensen, D. (2005). Predictive modelling of eelgrass (Zostera marina) depth limits. Mar. Biol. 146, 849-858. doi: 10.1007/s00227-004-1498-0
34. Gutiérrez, J. L., Jones, C. G., Byers, J. E., Arkema, K. K., Berkenbusch, K., Commito, J. A., et al. (2011). Physical ecosystem engineers and the functioning of estuaries and coasts, in Treatise on Estuarine and Coastal Science, Vol. 7, eds E. Wolanski and D. S. McLusky (Waltham, MA: Academic Press), 53-81.
35. Haines-Young, R., and Potschin, M. (2013). Common International Classification of Ecosystem Services (CICES): Consultation on Version 4, August-December 2012 (EEA Framework Contract No EEA/IEA/09/003).
36. Hale, S. S., and Heltshe, J. F. (2008). Signals from the benthos: development and evaluation of a benthic index for the nearshore Gulf of Maine. Ecol. Indic. 8, 338-350. doi: 10.1016/j.ecolind.2007.04.004
37. Halliday, S., Skeffington, R., Wade, A., Neal, C., Reynolds, B., Norris, D., et al. (2013). Upland streamwater nitrate dynamics across decadal to sub-daily timescales: a case study of Plynlimon, Wales. Biogeosciences 10, 8013-8038. doi: 10.5194/bg-10-8013-2013
38. Hansen, J. (2013). Marine områder (2012). NOVANA. Videnskabelig rapport fra DCE-Nationalt Center for Miljø og Energi, Aarhus Universitet, DCE-Nationalt Center for Miljø og Energi, 162 s.
39. Harwell, M. A., Myers, V., Young, T., Bartuska, A., Gassman, N., Gentile, J. H., et al. (1999). A framework for an ecosystem integrity report card. Bioscience 49, 543-556. doi: 10.2307/1313475
40. Hastie, T. J., and Tibshirani, R. J. (1990). Generalized Additive Models. London: Chapman and Hall/CRC.
41. HELCOM (2012). Development of a set of core indicators: interim report of the HELCOM CORESET project. Part A. Description of the selection process, in Baltic Sea Environment Proceedings. No. 129A.
42. Hoagland, P., and Scatasta, S. (2006). Ecology of harmful algae, in The Economic Effects of Harmful Algal Blooms, eds E. Granéli and J. T. Turner (Springer), 391-402.
43. Hummel, H., Frost, M., Juanes, J. A., Kochmann, J., Bolde, C. F. C. P., Aneiros, F., et al. (2015). A comparison of the degree of implementation of marine biodiversity indicators by European countries in relation to the Marine Strategy Framework Directive (MSFD). J. Mar. Biol. Assoc. U.K. 95, 1519-1531. doi: 10.1017/S0025315415000235
44. Hyder, K., Rossberg, A. G., Allen, J. I., Austen, M. C., Barciela, R. M., Bannister, H. J., et al. (2015). Making modelling count-increasing the contribution of shelf-seas community and ecosystem models to policy development and management. Mar. Policy 61, 291-302. doi: 10.1016/j.marpol.2015.07.015
45. ICES (2013a). OSPAR Special Request on Review of the Technical Specification and Application of Common Indicators under D1, D2, D4, and D6. Report of the ICES Advisory Committee (2013). ICESAdvice, (2013). International Council for the Exploration of the Sea, Denmark.
46. ICES (2013b). Report of the Working Group on the Ecosystem Effects of Fishing Activities (WGECO). Headquarters, Copenhagen.
47. ICES (2015). Report of the Working Group on Biodiversity Science (WGBIODIV), ICES Headquarters, Copenhagen.
48. James, C. A., Kershner, J., Samhouri, J., O'Neill, S., and Levin, P. S. (2012). A methodology for evaluating and ranking water quantity indicators in support of ecosystem-based management. Environ. Manage. 49, 703-719. doi: 10.1007/s00267-012-9808-7
49. Jackson, L. E., Kurtz, J., and Fisher, W. S. (2000). Evaluation Guidelines for Ecological Indicators. Durham, NC: Environmental Protection Agency, Office of Research and Development.
50. JCN/HBDSEG (2012). Final Project Report C2343: Environmental Indicators: A Structured Approach to the Evaluation of Impacts Arising from Human Activities at Sea (by CEFAS and IECS, funded by Defra). Available online at: http://sciencesearch.defra.gov.uk/Default.aspx?Menu=Menu&Module=More&Location=None&Completed=0&ProjectID=13013
51. Jennings, S. (2005). Indicators to support an ecosystem approach to fisheries. Fish Fish. 6, 212-232. doi: 10.1111/j.1467-2979.2005.00189.x
52. Jørgensen, S. E., Xu, L., and Costanza, R. (2010). Handbook of Ecological Indicators for Assessment of Ecosystem Health. Boca Ratan, FL: CRC press.
53. Kendall, M., and Widdicombe, S. (1999). Small scale patterns in the structure of macrofaunal assemblages of shallow soft sediments. J. Exp. Mar. Biol. Ecol. 237, 127-140. doi: 10.1016/S0022-0981(98)00224-X
54. Kershner, J., Samhouri, J. F., James, C. A., and Levin, P. S. (2011). Selecting indicator portfolios for marine species and food webs: a Puget Sound case study. PLoS One 6:e25248. doi: 10.1371/journal.pone.0025248
55. Krause-Jensen, D., Bruhn, A., Queiros, A., Bruun, J., Somerfield, P., Mazik, K., et al. (2015). Report on the Criteria for Good Indicators Selection. Deliverable 3.2. DEVOTES, EU. Available online at: http://www.devotes-project.eu
56. Krause-Jensen, D., and Carstensen, J. (2012). Udvikling i ålegræssets dybdeudbredelse i udvalgte områder, Chap. 12, in Marine områder 2011. NOVANA, ed J. W. Hansen (Aarhus Universitet, DCE-Danish Centre for Environment and Energi), 154. Scientific Report from DCE no. 34 (Danish with English summary). Available online at: http://www.dmu.dk/Pub/SR34.pdf
57. Krause-Jensen, D., Carstensen, J., Nielsen, S. L., Dalsgaard, T., Christensen, P. B., Fossing, H., et al. (2011). Sea bottom characteristics affect depth limits of eelgrass Zostera marina. Mar. Ecol. Prog. Ser. 425, 91-102. doi: 10.3354/meps09026
58. Krause-Jensen, D., Markager, S., and Dalsgaard, T. (2012). Benthic and pelagic primary production in different nutrient regimes. Estuar. Coasts 35, 527-545. doi: 10.1007/s12237-011-9443-1
59. Kurtz, J. C., Jackson, L. E., and Fisher, W. S. (2001). Strategies for evaluating indicators based on guidelines from the Environmental Protection Agency's Office of Research and Development Ecological Indicators. Ecol. Indic. 1, 49-60. doi: 10.1016/S1470-160X(01)00004-8
60. Landres, P. B., Verner, J., and Thomas, J. W. (1988). Ecological uses of vertebrate indicator species: a critique. Conserv. Biol. 2, 316-328. doi: 10.1111/j.1523-1739.1988.tb00195.x
61. Leonardsson, K., Blomqvist, M., Magnusson, M., Wikström, A., and Rosenberg, R. (2015). Calculation of species sensitivity values and their precision in marine benthic faunal quality indices. Mar. Pollut. Bull. 93, 94-102. doi: 10.1016/j.marpolbul.2015.02.010
62. Leonardsson, K., Blomqvist, M., and Rosenberg, R. (2009). Theoretical and practical aspects on benthic quality assessment according to the EU-Water Framework Directive-examples from Swedish waters. Mar. Pollut. Bull. 58, 1286-1296. doi: 10.1016/j.marpolbul.2009.05.007
63. Marbà, N., Krause-Jensen, D., Alcoverro, T., Birk, S., Pedersen, A., Neto, J. M., et al. (2013). Diversity of European seagrass indicators: patterns within and across regions. Hydrobiologia 704, 265-278. doi: 10.1007/s10750-012-1403-7
64. Mazik, K., Boyes, S., McManus, E., Ducrotoy, J.-P., Rogers, S., and Elliott, M. (2010). Healthy and Biologically Diverse Seas Evidence Group: Evaluation and Gap Analysis of Current and Potential Indicators for Sediment Habitats. Technical Report Series, United Kingdom Marine Monitoring and Assessment Strategy (UKMMAS), JNCC, Peterborough, 47.
65. MEA (2005). Ecosystems and Human Well-Being: Our Human Planet: Summary for Decision Makers. Washington, DC: Island Press.
66. Mee, D., Efferson, R., Affoley, D. A., and Elliott, M. (2008). Review: how good is good? Human values and Europe's proposed Marine Strategy Directive. Mar. Pollut. Bull. 56, 187-204.
67. Moy, F. E., and Christie, H. (2012). Large-scale shift from sugar kelp (Saccharina latissima) to ephemeral algae along the south and west coast of Norway. Mar. Biol. Res. 8, 309-321. doi: 10.1080/17451000.2011.637561
68. Munkes, B. (2005). Eutrophication, phase shift, the delay and the potential return in the Greifswalder Bodden, Baltic Sea. Aquat. Sci. 67, 372-381. doi: 10.1007/s00027-005-0761-x
69. Murtaugh, P. A. (1996). The statistical evaluation of ecological indicators. Ecol. Appl. 6, 132-139. doi: 10.2307/2269559
70. Nielsen, M. M., Krause-Jensen, D., Olesen, B., Thinggaard, R., Christensen, P. B., and Bruhn, A. (2014). Biomass and growth dynamics of Saccharina latissima (Laminariales, Phaeophyceae) in a temperate embayment and along the species distribution range. Mar. Biol. 161, 2011-2022.
71. Nielsen, S. L., Sand-Jensen, K., Borum, J., and Geertz-Hansen, O. (2002). Depth colonization of eelgrass (Zostera marina) and macroalgae as determined by water transparency in Danish coastal waters. Estuaries 25, 1025-1032. doi: 10.1007/BF02691349
72. Niemeijer, D., and de Groot, R. S. (2008). A conceptual framework for selecting environmental indicator sets. Ecol. Indic. 8, 14-25. doi: 10.1016/j.ecolind.2006.11.012
73. Noss, R. F. (1990). Indicators for monitoring biodiversity: a hierarchical approach. Conserv. Biol. 4, 355-364. doi: 10.1111/j.1523-1739.1990.tb00309.x
74. NRC (2000). Ecological Indicators for the Nation. Washington, DC: National Academy Press.
75. O'Connor, J. S., and Dewling, R. T. (1986). Indices of marine degradation: their utility. Environ. Manage. 10, 335-343. doi: 10.1007/BF01867257
76. OECD (2001). OECD Environmental Indicators: Towards Sustainable Development. Paris: Organisation for Economic Co-operation and Development.
77. Olenin, S., and Daunys, D. (2004). Coastal typology based on benthic biotope and community data: the Lithuanian case study, in Baltic Sea Typology Coastline Reports, Vol. 4, eds G. Schernewski and M. Wielgat (Leiden: EUCC-The Coastal Union), 65-84.
78. Olenin, S., Daunys, D., and Labanauskas, V. (1996). Classification principles of the Lithuanian coastal biotopes. Ann. Geogr. 29, 218-231.
79. OSPAR (2013). Report by ICG-COBAM on the Development of an OSPAR Common Set of Biodiversity Indicators. BDC 13/4/2-E. Prepared by the OSPAR Intersessional Correspondence Group on the Coordination of Biodiversity Assessment and Monitoring (ICG-COBAM).
80. Pannell, D. J., and Glenn, N. A. (2000). A framework for the economic evaluation and selection of sustainability indicators in agriculture. Ecol. Econ. 33, 135-149. doi: 10.1016/S0921-8009(99)00134-2
81. Pastres, R., Ciavatta, S., Cossarini, G., and Solidoro, C. (2003). Sensitivity analysis as a tool for the implementation of a water quality regulation based on the maximum permissible loads policy. Reliab. Eng. Syst. Saf. 79, 239-244. doi: 10.1016/S0951-8320(02)00235-1
82. Pearson, T. H., and Rosenberg, R. (1978). Macrobenthic succession in relation to organic enrichment and pollution of the marine environment. Oceanogr. Mar. Biol. Annu. Rev. 16, 229-311.
83. Pinheiro, J. C., and Bates, D. M. (2000). Mixed-Effects Models in S and S-Plus. New York, NY: Springer-Verlag.
84. Queirós, A. M., Stephens, N., Cook, R., Ravaglioli, C., Nunes, J., Dashfield, S., et al. (2015). Can benthic community structure be used to predict the process of bioturbation in real ecosystems? Prog. Oceanogr. 137, 559-569. doi: 10.1016/j.pocean.2015.04.027
85. Rice, J. (2003). Environmental health indicators. Ocean Coast. Manag. 46, 235-259. doi: 10.1016/S0964-5691(03)00006-1
86. Rice, J., Arvanitidis, C., Borja, A., Frid, C., Hiddink, J. G., Krause, J., et al. (2012). Indicators for sea-floor integrity under the European marine strategy framework directive. Ecol. Indic. 12, 174-184. doi: 10.1016/j.ecolind.2011.03.021
87. Rice, J. C., and Rochet, M.-J. (2005). A framework for selecting a suite of indicators for fisheries management. ICES J. Mar. Sci. 62, 516-527. doi: 10.1016/j.icesjms.2005.01.003
88. Riemann, B., Carstensen, J., Dahl, K., Fossing, H., Hansen, J. W., Jakobsen, H. H., et al. (2016). Recovery of Danish coastal ecosystems after reductions in nutrient loading: a holistic ecosystem approach. Est. Coasts 39, 82-97. doi: 10.1007/s12237-015-9980-0
89. Rosenberg, R., Blomqvist, M. C., Nilsson, H., Cederwall, H., and Dimming, A. (2004). Marine quality assessment by use of benthic species-abundance distributions: a proposed new protocol within the European Union Water Framework Directive. Mar. Pollut. Bull. 49, 728-739. doi: 10.1016/j.marpolbul.2004.05.013
90. Rossberg, A. G., Uusitalo, L., Berg, T., Zaiko, A., Chenuil-Maurel, A., Uyarra, M. C., et al. (2013). Choosing Indicators and Their Target Ranges to Assess Sustainable Use of Marine Ecosystems. Milestone Report 13 of DEVOTES Project, 4-30.
91. Sand-Jensen, K., and Borum, J. (1991). Interactions among phytoplankton, periphyton and macrophytes in temperate freshwaters and estuaries. Aquat. Bot. 41, 137-175. doi: 10.1016/0304-3770(91)90042-4
92. Schomaker, M. (1997). Development of Environmental Indicators in UNEP. Rome: FAO Land and Water Bulletin (FAO)
93. Schramm, W. (1999). Factors influencing seaweed responses to eutrophication: some results from EU-project EUMAC. J. Appl. Phycol. 11, 69-78. doi: 10.1023/A:1008076026792
94. Schwarz, G. (1978). Estimating the dimension of a model. Ann. Stat. 6, 461-464. doi: 10.1214/aos/1176344136
95. Šiaulys A Zaiko A Daunys D. (2011). Assessment of Benthic Quality Status in the Lithuanian Coastal Waters Based on the Benthic Quality Index (BQI). Technical Report: Norwegian Financial Mechanism/Project: A system for the sustainable management of Lithuanian marine resources using novel surveillance, modeling tools and ecosystem approach, Klaipeda, 13.
96. Soetaert, K., Middelburg, J. J., Heip, C., Meire, P., Van Damme, S., and Maris, T. (2006). Long-term change in dissolved inorganic nutrients in the heterotrophic Scheldt estuary (Belgium, the Netherlands). Limnol. Oceanogr. 51, 409-423. doi: 10.4319/lo.2006.51.1_part_2.0409
97. Sokal, R. R., and Rohlf, F. J. (1969). The Principles and Practice of Statistics in Biological Research. San Francisco, CA: WH Freeman and company.
98. Teixeira, H., Berg, T., Fürhaupter, K., Uusitalo, L., Papadopoulou, N., Bizsel, K. C., et al. (2014). Existing Biodiversity, Non-Indigenous Species, Food-Web and Seafloor Integrity GEnS Indicators (DEVOTES Deliverable 3.1) DEVOTES FP7 Project. 198. Available online at: http://www.devotes-project.eu
99. United Nations (1992). Convention on Biological Diversity. Rio de Janeiro, 28.
100. van der Heide, T., van Nes, E. H., van Katwijk, M. M., Olff, H., and Smolders, A. J. (2011). Positive feedbacks in seagrass ecosystems-evidence from large-scale empirical data. PLoS ONE 6:e16504. doi: 10.1371/journal.pone.0016504
101. Van Hoey, G., Permuy, D. C., Vandendriessche, S., Vincx, M., and Hostens, K. (2013). An ecological quality status assessment procedure for soft-sediment benthic habitats: Weighing alternative approaches. Ecol. Indic. 25, 266-278. doi: 10.1016/j.ecolind.2012.09.024
102. Whitlatch, R. B., Lohrer, A. M., Thrush, S. F., Pridmore, R. D., Hewitt, J. E., Cummings, V. J., et al. (1998). Scale-dependent benthic recolonization dynamics: life stage-based dispersal and demographic consequences. Hydrobiologia 375, 217-226. doi: 10.1023/A:1017084217011
103. 2 leakage on macrobenthic community structure and diversity. Int. J. Greenhouse Gas Control 38, 182-192. doi: 10.1016/j.ijggc.2015.01.003
104. Young, P. C., Pedregal, D. J., and Tych, W. (1999). Dynamic harmonic regression. J. Forecast. 18, 369-394. doi: 10.1002/(SICI)1099-131X(199911)18:6<369::AID-FOR748>3.0.CO;2-K
105. Zhang, Q., Warwick, R. M., McNeill, C. L., Widdicombe, C. E., Sheehan, A., and Widdicombe, S. (2015). An unusually large phytoplankton spring bloom drives rapid changes in benthic diversity and ecosystem function. Prog. Oceanogr. 137, 533-545. doi: 10.1016/j.pocean.2015.04.029