Long-term datasets in biodiversity research and monitoring: Assessing change in ecological communities through time

Trends in Ecology and Evolution

Volumn 25, Issue 10, 2010, Pages 574-582

  Magurran, Anne E ^a   Baillie, Stephen R ^b   Buckland, Stephen T ^a   Dick, Jan McP ^c   Elston, David A ^d   Scott, E Marian ^e   Smith, Rognvald I ^c   Somerfield, Paul J ^f   Watt, Allan D ^c  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

^b THE NUNNERY   (United Kingdom)

^c CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^d BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

^e UNIVERSITY OF GLASGOW   (United Kingdom)

^f PLYMOUTH MARINE LABORATORY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITY DYNAMICS; DATA SET; ECOLOGICAL MODELING; HABITAT TYPE; HUMAN ACTIVITY; MONITORING SYSTEM; RESEARCH AND DEVELOPMENT; SPECIES DIVERSITY; TEMPORAL ANALYSIS;

ANIMAL; BIODIVERSITY; ECOLOGY; FACTUAL DATABASE; HUMAN; METHODOLOGY; REVIEW; TIME;

ANIMALS; BIODIVERSITY; DATABASES, FACTUAL; ECOLOGY; HUMANS; TIME FACTORS;

EID: 77956647815     PISSN: 01695347     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tree.2010.06.016     Document Type: Review

References (76)

1. Butchart S.H.M., et al. Global biodiversity: indicators of recent declines. Science 2010, 328:1164-1168.
2. McLean A.R., May R.M. Introduction. Theoretical Ecology 2007, 1-6. Oxford University Press. 3rd ed. R.M. May, A.R. McLean (Eds.).
3. Holmes R. The Age of Wonder 2009, Harper Press.
4. Silvertown J., et al. The Park Grass Experiment 1856-2006: its contribution to ecology. J. Ecol. 2006, 94:801-814.
5. Lawes J., Gilbert J. Agricultural, botanical and chemical results of experiments on the mixed herbage of permanent grassland, conducted for many years in succession on the same land. Phil. Trans. R. Soc. B. 1880, 171:189-416.
6. Lawes J., et al. Agricultural, botanical and chemical results of experiments on the mixed herbage of permanent meadow, conducted for more than twenty years on the same land. II. The botanical results. Phil. Trans. R. Soc. B. 1882, 173:1181-1413.
7. Richardson A.J., et al. Using continuous plankton recorder data. Prog. Oceanogr. 2006, 68:27-74.
8. Kirby R.R., et al. Climate effects and benthic-pelagic coupling in the North Sea. Mar. Ecol. Prog. Ser. 2007, 330:31-38.
9. Sauer J.R., et al. The North American Breeding Bird Survey, Results and Analysis 1966-2007 2008, USGS Patuxent Wildlife Research Center.
10. Morecroft M.D., et al. The UK Environmental Change Network: emerging trends in terrestrial biodiversity and the physical environment. Biol. Conserv. 2009, 142:2814-2832.
11. Rijnsdorp A.D., et al. Changes in the abundance of demersel fish species in the North Sea between 1906-1909 and 1990-1995. ICES J. Mar. Sci. 1996, 53:1054-1062.
12. Bezemer T.J., van der Putten W.H. Ecology: diversity and stability in plant communities. Nature 2007, 446:E6-E7.
13. Tilman D., et al. Biodiversity and ecosystem stability in a decade-long experimental grassland. Nature 2006, 441:629-632.
14. Wolfe D.A., et al. Long-term biological data sets: their role in research, monitoring, and management of estuarine and coastal marine systems. Estuaries 1987, 10:181-193.
15. Hawkins B.A., et al. Energy, water, and broad-scale geographic patterns of species richness. Ecology 2003, 84:3105-3117.
16. Chown S.L., et al. Hemispheric asymmetries in biodiversity: A serious matter for ecology. PLoS Biol. 2004, 2. 10.1371/journal.pbio.0020406.
17. Darwin C. On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life 1859, John Murray.
18. MacArthur R.H., Wilson E.O. The Theory of Island Biogeography 1967, Princeton University Press.
19. Rosenzweig M.L. Species Diversity in Space and Time 1995, Cambridge University Press.
20. van der Gast C.J., et al. Temporal scaling of bacterial taxa is influences by both stochastic and deterministic ecological factors. Environ. Microbiol. 2008, 10:1411-1418.
21. White E.P. Spatiotemporal scaling of species richness: patterns, processes, and implications. Scaling biodiversity 2007, 325-346. Cambridge University Press. D. Storch (Ed.).
22. White E.P., et al. A comparison of the species-time relationship across ecosystems and taxonomic groups. Oikos 2006, 112:185-195.
23. Magurran A.E. Measuring biological diversity in time (and space). Biological Diversity: Frontiers in Measurement and Assessment 2010, Oxford University Press. A.E. Magurran, B.J. McGill (Eds.).
24. Shurin J.B. How is diversity related to species turnover through time?. Oikos 2007, 957-965.
25. Korhonen J.J., et al. A quantitative analysis of temporal turnover in aquatic assemblages across ecosystems. Ecology 2010, 508-517.
26. Werner E.E., et al. Turnover in an amphibian metacommunity: the role of local and regional factors. Oikos 2007, 116:1713-1725.
27. Svensson J.R., et al. Equal rates of disturbance cause different patterns of diversity. Ecology 2009, 90:496-505.
28. Chytrý M., et al. Species richness and species turnover in a successional heathland. Appl. Veg. Sci. 2009, 4:89-96.
29. Jost, L. et al. (2010) Compositional similarity and beta diversity. In Biological Diversity: Frontiers in Measurement and Assessment (Magurran, A.E. and McGill, B.J., eds), Oxford University Press. (in press).
30. MacNally R. Use of the abundance spectrum and relative-abundance distributions to analyze assemblage change in massively altered landscapes. Am. Nat. 2007, 170:319-330.
31. Collins S.L., et al. Rank clocks and plant community dynamics. Ecology 2008, 89:3534-3541.
32. Chao A., et al. Abundance-based similarity indices and their estimation where there are unseen species in samples. Biometrics 2006, 62:361-371.
33. McGill B.J., et al. Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework. Ecol. Lett. 2007, 10:995-1015.
34. Buckland, S.T. et al. (2010) Biodiversity monitoring: the relevance of detectability. In Biological Diversity: Frontiers in Measurement and Assessment (Magurran, A.E. and McGill, B.J., eds), Oxford University Press. (in press).
35. Magurran A.E., McGill B.J. Biological Diversity: Frontiers in Measurement and Assessment 2010, Oxford University Press.
36. Buckland S.T., et al. Monitoring change in biodiversity through composite indices. Phil. Trans. R. Soc. B. 2005, 243-254.
37. Pavoine S., et al. Hierarchical partitioning of evolutionary and ecological patterns in the organization of phylogenetically-structured species assemblages: application to rockfish (genus: Sebastes) in the Southern California Bight. Ecol. Lett. 2009, 12:898-908.
38. Warwick R.M., Clarke K.R. New 'biodiversity' measures reveal a decrease in taxonomic distinctness with increasing stress. Mar. Ecol. Prog. Ser. 1995, 129:301-305.
39. White E.P., et al. Trade offs in community properties through time in a desert rodent community. Am. Nat. 2004, 164:670-676.
40. Thibault K.M., et al. Temporal dynamics in the structure and composition of a desert rodent community. Ecology 2004, 85:2649-2655.
41. Trenkel V.M., Rochet M.-J. Performance of indicators derived from abundance estimates for detecting the impact of fishing on a fish community. Can. J. Fish. Aquat. Sci. 2003, 60:67-85.
42. Wantiez L. Comparison of fish assemblages sampled by a shrimp trawl and a fish trawl in St Vincent Bay, New Caledonia. J. Mar. Biol. Assoc. UK 1996, 76:759-775.
43. Thomas L., et al. Temporal inferences from distance sampling surveys. Advanced Distance Sampling 2004, Oxford University Press. S.T. Buckland (Ed.).
44. Buckland S.T., et al. Embedding population dynamics models in inference. Stat. Sci. 2007, 22:44-58.
45. Jackson J.B.C., et al. Historical overfishing and the recent collapse of coastal ecosystems. Science 2001, 293:629-637.
46. Scheffer M., et al. Catastrophic shifts in ecosystems. Nature 2001, 413:591-596.
47. Carpenter S.R., Brock W.A. Rising variance: a leading indicator of ecological transition. Ecol. Lett. 2006, 9:311-318.
48. Biggs R., et al. Turning back from the brink: detecting an impending regime shift in time to avert it. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:826-831.
49. Loh J., et al. The Living Planet Index: using species population time series to track trends in biodiversity. Phil. Trans. R. Soc. B. 2005, 360:289-295.
50. Stuart S.N., et al. Status and trends of amphibian declines and extinctions worldwide. Science 2004, 306:1783.
51. Gregory, R.D. et al. (1999) National and Site Based Alert Systems for UK Birds. Research report 226, British Trust for Ornithology.
52. Christie S.M., et al. Are mobile speed cameras effective? A controlled before and after study. Inj. Prev. 2003, 9:302-306.
53. Baillie, S.R. and Rehfish, M.M., eds (2006) National and Site-based Alert Systems for UK Birds. Research report 226, British Trust for Ornithology.
54. Brooks S.P., et al. Quantifying conservation concern - Bayesian statistics and the Red Data Lists. Biol. Conserv. 2008, 141:1436-1441.
55. Field, S.A. et al. (2005) Optimizing allocation of monitoring effort under economic and observational constraints. Journal Information 69.
56. Eaton, M.A. et al. (2009) The State of the UK's Birds 2008. RSPB, BTO, WWT, CCW, NIEA, JNCC, NE and SNH.
57. Wonham M.J., Pachepsky E. A null model of temporal trends in biological invasion records. Ecol. Lett. 2006, 9:663-672.
58. Fisher R.A., et al. The relation between the number of species and the number of individuals in a random sample of an animal population. J. Anim. Ecol. 1943, 12:42-58.
59. Preston F.W. The commonness, and rarity, of species. Ecology 1948, 29:254-283.
60. Preston F.W. Time and space and the variation of species. Ecology 1960, 41:612-627.
61. Magurran A.E. Species abundance distributions over time. Ecol. Lett. 2007, 10:347-354.
62. Jost L. Partitioning diversity into independent alpha and beta components. Ecology 2007, 88:2427-2439.
63. Sobek S., et al. Spatiotemporal changes of beetle communities across a tree diversity gradient. Divers. Distrib. 2009, 15:660-670.
64. Tomašových A., Kidwell S.M. Fidelity of variation in species composition and diversity partitioning by death assemblages: time-averaging transfers diversity from beta to alpha levels. Paleobiology 2009, 35:94-118.
65. Gardner T.A., et al. The cost-effectiveness of biodiversity surveys in tropical forests. Ecol. Lett. 2007, 11:139-150.
66. Braschler B., et al. Realizing a synergy between research and education: how participation in ant monitoring helps raise biodiversity awareness in a resource-poor country. J. Insect Conserv. 2010, 14:19-30.
67. Wagner P.J., Lyons S.K. Examining extinction in the fossil record. Biological Diversity: Frontiers in Measurement and Extinction 2010, Oxford University Press. A.E. Magurran, B.J. McGill (Eds.).
68. Tolley K.A., et al. Deconstructing a controversial local range expansion: conservation biogeography of the painted reed frog (Hyperolius marmoratus) in South Africa. Divers. Distrib. 2007, 14:400-411.
69. Walther G.R., et al. Alien species in a warmer world: risks and opportunities. Trends Ecol. Evol. 2009, 24:686-693.
70. Sims M., et al. Incorporating variance uncertainty into a power analysis of monitoring designs. J. Ag. Biol. Envir. St. 2007, 12:236-249.
71. Freeman S.N., et al. Modelling population changes using data from different surveys: the Common Birds Census and the Breeding Bird Survey. Bird Study 2007, 54:61-72.
72. Bonney R., et al. Citizen science: a developing tool for expanding science knowledge and scientific literacy. BioScience 2009, 59:977-984.
73. Spiegelhalter D.J. Understanding uncertainty. Ann. Fam. Med. 2008, 6:196.
74. Harremois P., et al. Late Lessons from Early Warnings: The Precautionary Principle 1896-2000 2001, Office for Official Publications of the European Communities.
75. IPCC (2005) AR4 Guidance Notes for Lead Authors of the IPCC Fourth Assessment Report on Addressing Uncertainties.
76. Gaston K.J., Blackburn T.M. Macroecology 2000, Blackwell Science.