Mapping uncertainty due to missing data in the global ocean health index

PLoS ONE

Volumn 11, Issue 8, 2016, Pages

  Frazier, Melanie ^a   Longo, Catherine ^b   Halpern, Benjamin S ^a,c,d  

^a NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

^b Science and Standards Department   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION PROCESSING; QUANTITATIVE STUDY; RELIABILITY; SEA; TOURISM; UNCERTAINTY; ECOSYSTEM; ENVIRONMENTAL PROTECTION; HUMAN; PROCEDURES; STATISTICS AND NUMERICAL DATA;

CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; HUMANS; OCEANS AND SEAS; UNCERTAINTY;

EID: 84982171446     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0160377     Document Type: Article

References (48)

1. Halpern BS, Frazier M, Potapenko J, Casey KS, Koenig K, Longo C, et al. Spatial and temporal changes in cumulative human impacts on the world's ocean. Nat Commun. 2015; 6: 7615. doi: 10.1038/ncomms8615 PMID: 26172980
2. Halpern BS, Walbridge S, Selkoe KA, Kappel CV, Micheli F, D'Agrosa C, et al. A global map of human impact on marine ecosystems. Science. 2008; 319: 948-952. doi: 10.1126/science.1149345 PMID: 18276889
3. McCauley DJ, Pinsky ML, Palumbi SR, Estes JA, Joyce FH, Warner RR. Marine defaunation: animal loss in the global ocean. Science. 2015; 347: 1255641. doi: 10.1126/science.1255641 PMID: 25593191
4. Foley JA, Monfreda C, Ramankutty N, Zaks D. Our share of the planetary pie. Proc Natl Acad Sci. 2007; 104: 12585-12586. doi: 10.1073/pnas.0705190104 PMID: 17646656
5. Haberl H, Erb KH, Krausmann F, Gaube V, Bondeau A, Plutzar C, et al. Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems. Proc Natl Acad Sci. 2007; 104: 12942-12947. doi: 10.1073/pnas.0704243104 PMID: 17616580
6. Krausmann F, Erb K-H, Gingrich S, Haberl H, Bondeau A, Gaube V, et al. Global human appropriation of net primary production doubled in the 20th century. Proc Natl Acad Sci. 2013; 110: 10324-10329. doi: 10.1073/pnas.1211349110 PMID: 23733940
7. Millennium Ecosystem Assessment. Ecosystems and human well-being: wetlands and water synthesis. Washington, D.C., USA: World Resources Institute; 2005.
8. Millennium Ecosystem Assessment (Program). Ecosystems and human well-being: synthesis. Washington, DC: Island Press; 2005.
9. Costanza R, de Groot R, Sutton P, van der Ploeg S, Anderson SJ, Kubiszewski I, et al. Changes in the global value of ecosystem services. Glob Environ Change. 2014; 26: 152-158. doi: 10.1016/j.gloenvcha.2014.04.002
10. Costanza R, d'Arge R, de Groot R, Farber S, Grasso M, Hannon B, et al. The value of the world's ecosystem services and natural capital. Nature. 1997; 387: 253-260. doi: 10.1038/387253a0
11. Jørgensen SE, Burkhard B, Müller F. Twenty volumes of ecological indicators - An accounting short review. Ecol Indic. 2013; 28: 4-9. doi: 10.1016/j.ecolind.2012.12.018
12. Müller F, Achtziger R, Joergensen S-E, Marques JC. 10 years Ecological Indicators! Ecol Indic. 2013; 28: 1-3. doi: 10.1016/j.ecolind.2012.12.007
13. Armon RH, Hänninen O, editors. Environmental indicators. 2015 edition. New York: Springer; 2015.
14. European Commission, Joint Research Centre, Organisation for Economic Co-operation and Development. Handbook on constructing composite indicators methodology and user guide. [Internet]. Paris: OECD; 2008. Available: http://site.ebrary.com/id/10251719
15. Nardo M, Saisana M, Saltelli A, Tarantola S. Tools for composite indicator building. European Commission, EUR 21682 EN; 2005.
16. Singh RK, Murty HR, Gupta SK, Dikshit AK. An overview of sustainability assessment methodologies. Ecol Indic. 2012; 15: 281-299. doi: 10.1016/j.ecolind.2011.01.007
17. Saltelli A. Composite indicators between analysis and advocacy. Soc Indic Res. 2007; 81: 65-77. doi: 10.1007/s11205-006-0024-9
18. Frederiksen P, Gudmundsson H. Policy use and influence of indicators. Ecol Indic. 2013; 35: 1-2. doi: 10.1016/j.ecolind.2013.05.016
19. Niemi GJ, McDonald ME. Application of ecological indicators. Annu Rev Ecol Evol Syst. 2004; 35: 89-111.
20. Saisana M, Saltelli A, Tarantola S. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. J R Stat Soc Ser A Stat Soc. 2005; 168: 307-323. doi: 10.1111/j.1467-985X.2005.00350.x
21. Saltelli A, Ratto M, Andres T, Campolongo F, Cariboni J, Gatelli D, et al. Global sensitivity analysis: the primer. John Wiley & Sons; 2008.
22. Munda G, Nardo M, Saisana M, Srebotnjak T. Measuring uncertainties in composite indicators of sustainability. Int J Environ Technol Manag. 2009; 11: 7-26. doi: 10.1504/IJETM.2009.027185
23. Böhringer C, Jochem PEP. Measuring the immeasurable-a survey of sustainability indices. Ecol Econ. 2007; 63: 1-8. doi: 10.1016/j.ecolecon.2007.03.008
24. Dobbie MJ, Dail D. Robustness and sensitivity of weighting and aggregation in constructing composite indices. Ecol Indic. 2013; 29: 270-277. doi: 10.1016/j.ecolind.2012.12.025
25. Parris TM, Kates RW. Characterizing and measuring sustainable development. Annu Rev Environ Resour. 2003; 28: 559-586. doi: 10.1146/annurev.energy.28.050302.105551
26. Saisana M, Saltelli A. Uncertainty and sensitivity analysis of the 2010 Environmental Performance Index [Internet]. Luxembourg: European Commission, Joint Research Centre, Institute for the Protection and Security of the Citizen; 2010. Available: http://dx.publications.europa.eu/10.2788/67623
27. Dobbie MJ, Clifford D. Quantifying uncertainty in environmental indices: an application to an estuarine health index. Mar Freshw Res. 2015; 66: 95-105.
28. Halpern BS, Longo C, Hardy D, McLeod KL, Samhouri JF, Katona SK, et al. An index to assess the health and benefits of the global ocean. Nature. 2012; 488: 615-620. doi: 10.1038/nature11397 PMID: 22895186
29. Halpern BS, Longo C, Lowndes JSS, Best BD, Frazier M, Katona SK, et al. Patterns and emerging trends in global ocean health. PLoS ONE. 2015; 10: e0117863. doi: 10.1371/journal.pone.0117863 PMID: 25774678
30. Ocean Health Index [Internet]. [cited 12 Apr 2016]. Available: http://ohi-science.org/
31. United Nations Statistics Division - standard country and area codes classifications (M49) [Internet]. [cited 13 Apr 2016]. Available: http://unstats.un.org/unsd/methods/m49/m49regin.htm
32. Hemminga MA, Duarte CM. Seagrass ecology. Cambridge University Press; 2000.
33. World Economic Forum. The Travel & Tourism Competitiveness Report [Internet]. 2015. Available: http://www3.weforum.org/docs/TT15/WEF-Global-Travel&Tourism-Report-2015.pdf
34. Trujillo P. Using a mariculture sustainability index to rank countries' performance. In: Alder J, Pauly D, editors. Fisheries Centre Research Reports. University of British Columbia, Vancouver, Canada: Fisheries Centre Research Reports; 2008. Available: https://circle.ubc.ca/handle/2429/40933
35. Nations United. FAO Fisheries & Aquaculture - Fishery Statistical Collections - Fishery Commodities and Trade [Internet]. [cited 13 Apr 2016]. Available: http://www.fao.org/fishery/statistics/global-commodities-production/en
36. Nations United. FAO Statistics Division-Inputs [Internet]. [cited 13 Apr 2016]. Available: http://faostat3.fao.org/browse/R/&z.ast;/E
37. Convention on Biological Diversity. List of parties [Internet]. [cited 13 Apr 2016]. Available: https://www.cbd.int/convention/
38. Arlot S, Celisse A. A survey of cross-validation procedures for model selection. Stat Surv. 2010; 4: 40-79. doi: 10.1214/09-SS054
39. Chai T, Draxler RR. Root mean square error (RMSE) or mean absolute error (MAE)?-Arguments against avoiding RMSE in the literature. Geosci Model Dev. 2014; 7: 1247-1250. doi: 10.5194/gmd-7-1247-2014
40. R Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2015. Available: https://www.R-project.org/
41. VanDerWal J, Falconi L, Januchowski S, Shoo L, Storlie C. SDMTools: Species Distribution Modelling Tools: Tools for processing data associated with species distribution modelling exercises. R Package Version 11-221. 2014; Available: http://CRAN.R-project.org/package=SDMTools
42. Joppa LN, O'Connor B, Visconti P, Smith C, Geldmann J, Hoffmann M, et al. Filling in biodiversity threat gaps. Science. 2016; 352: 416-418. doi: 10.1126/science.aaf3565 PMID: 27102469
43. Pauly D, Zeller D, editors. Sea around us concepts, design and data. 2015; Available: seaaroundus.org
44. Selig ER, Frazier M, O'Leary JK, Jupiter SD, Halpern BS, Longo C, et al. Measuring indicators of ocean health for an island nation: The ocean health index for Fiji. Ecosyst Serv. 2015; 16: 403-412. doi: 10.1016/j.ecoser.2014.11.007
45. Selig ER, Longo C, Halpern BS, Best BD, Hardy D, Elfes CT, et al. Assessing Global Marine Biodiversity Status within a Coupled Socio-Ecological Perspective. PLOS ONE. 2013; 8: e60284. doi: 10.1371/journal.pone.0060284 PMID: 23593188
46. Baraldi AN, Enders CK. An introduction to modern missing data analyses. J Sch Psychol. 2010; 48: 5-37. doi: 10.1016/j.jsp.2009.10.001 PMID: 20006986
47. Ng CG, Yusoff MSB. Missing values in data analysis: ignore or impute? Educ Med J. 2011; 3. doi: 10.5959/eimj.3.1.2011.or1
48. Lowndes JSS, Pacheco EJ, Best BD, Scarborough C, Longo C, Katona SK, et al. Best practices for assessing ocean health in multiple contexts using tailorable frameworks. PeerJ. 2015; 3: e1503. doi: 10.7717/peerj.1503 PMID: 26713251