Management by proxy? The use of indices in applied ecology

Journal of Applied Ecology

Volumn 52, Issue 1, 2015, Pages 1-6

  Stephens, Philip A ^a   Pettorelli, Nathalie ^b   Barlow, Jos ^c,d   Whittingham, Mark J ^e   Cadotte, Marc W ^f  

^a DURHAM UNIVERSITY   (United Kingdom)

^b INSTITUTE OF ZOOLOGY   (United Kingdom)

^c LANCASTER UNIVERSITY   (United Kingdom)

^d MUSEU PARAENSE EMÍLIO GOELDI   (Brazil)

^e NEWCASTLE UNIVERSITY   (United Kingdom)

^f UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84921457311     PISSN: 00218901     EISSN: 13652664     Source Type: Journal    
DOI: 10.1111/1365-2664.12383     Document Type: Editorial

References (67)

1. Ayanu, Y.Z., Conrad, C., Nauss, T., Wegmann, M. & Koellner, T. (2012) Quantifying and mapping ecosystem services supplies and demands: a review of remote sensing applications. Environmental Science & Technology, 46, 8529-8541.
2. Balvanera, P., Pfisterer, A.B., Buchmann, N., He, J.-S., Nakashizuka, T., Raffaelli, D. & Schmid, B. (2006) Quantifying the evidence for biodiversity effects on ecosystem functioning and services. Ecology Letters, 9, 1146-1156.
3. Banks-Leite, C., Pardini, R., Boscolo, D., Cassano, C.R., Püttker, T., Barros, C.S. & Barlow, J. (2014) Assessing the utility of statistical adjustments for imperfect detection in tropical conservation science. Journal of Applied Ecology, 51, 849-859.
4. Bässler, C., Ernst, R., Cadotte, M., Heibl, C. & Müller, J. (2014) Near-to-nature logging influences fungal community assembly processes in a temperate forest. Journal of Applied Ecology, 51, 939-948.
5. Bean, W.T.W., Prugh, L.R.L., Stafford, R., Butterfield, H.S., Westphal, M. & Brashares, J.S. (2014) Species distribution models of an endangered rodent offer conflicting measures of habitat quality at multiple scales. Journal of Applied Ecology, 51, 1116-1125.
6. Best, R.J. & Stachowicz, J.J. (2013) Phylogeny as a proxy for ecology in seagrass amphipods: which traits are most conserved? PLoS ONE, 8, e57550.
7. Cadotte, M.W. (2013) Experimental evidence that evolutionarily diverse assemblages result in higher productivity. Proceedings of the National Academy of Sciences, 110, 8996-9000.
8. Cadotte, M.W., Albert, C.H. & Walker, S.C. (2013) The ecology of differences: integrating evolutionary and functional distances. Ecology Letters, 16, 1234-1244.
9. Cadotte, M.W., Carscadden, K. & Mirotchnick, N. (2011) Beyond species: functional diversity and the maintenance of ecological processes and services. Journal of Applied Ecology, 48, 1079-1087.
10. Cardinale, B.J., Srivastava, D.S., Duffy, J.E., Wright, J.P., Downing, A.L., Sankaran, M. & Jouseau, C. (2006) Effects of biodiversity on the functioning of trophic groups and ecosystems. Nature, 443, 989-992.
11. Caughley, G. (1977) Analysis of Vertebrate Populations. Wiley, Oxford.
12. Cianfrani, C., Le Lay, G., Hirzel, A.H. & Loy, A. (2010) Do habitat suitability models reliably predict the recovery areas of threatened species? Journal of Applied Ecology, 47, 421-430.
13. CITES (1973) Convention on International Trade in Endangered Species of Wild Fauna and Flora. CITES, Washington, DC.
14. Eigenbrod, F., Armsworth, P.R., Anderson, B.J., Heinemeyer, A., Gillings, S., Roy, D.B., Thomas, C.D. & Gaston, K.J. (2010) The impact of proxy-based methods on mapping the distribution of ecosystem services. Journal of Applied Ecology, 47, 377-385.
15. Falcucci, A., Ciucci, P., Maiorano, L., Gentile, L. & Boitani, L. (2009) Assessing habitat quality for conservation using an integrated occurrence-mortality model. Journal of Applied Ecology, 46, 600-609.
16. Flynn, D.F.B., Mirotchnick, N., Jain, M., Palmer, M.I. & Naeem, S. (2011) Functional and phylogenetic diversity as predictors of biodiversity-ecosystem function relationships. Ecology, 92, 1573-1581.
17. Hayward, M.W. & Marlow, N. (2014) Will dingoes really conserve wildlife and can our methods tell? Journal of Applied Ecology, 51, 835-838.
18. Hopcraft, J.G.C., Olff, H. & Sinclair, A.R.E. (2010) Herbivores, resources and risks: alternating regulation along primary environmental gradients in savannas. Trends in Ecology & Evolution, 25, 119-128.
19. Houston, A.I. & McNamara, J.M. (1993) A theoretical investigation of the fat reserves and mortality levels of small birds in winter. Ornis Scandinavica, 24, 205-219.
20. Hunter, M.D. & Price, P.W. (1992) Playing chutes and ladders: heterogeneity and the relative roles of bottom-up and top-down forces in natural communities. Ecology, 73, 724-732.
21. Jenkins, K.J. & Manly, B.F.J. (2008) A double-observer method for reducing bias in faecal pellet surveys of forest ungulates. Journal of Applied Ecology, 45, 1339-1348.
22. Jennelle, C.S., Runge, M.C. & MacKenzie, D.I. (2002) The use of photographic rates to estimate densities of tigers and other cryptic mammals: a comment on misleading conclusions. Animal Conservation, 5, 119-120.
23. Johnson, M. (2007) Measuring habitat quality: a review. The Condor, 109, 489-504.
24. Johnson, D.H. (2008) In defense of indices: the case of bird surveys. Journal of Wildlife Management, 72, 857-868.
25. Jones, J.P.G. (2011) Monitoring species abundance and distribution at the landscape scale. Journal of Applied Ecology, 48, 9-13.
26. Keane, A., Jones, J.P.G. & Milner-Gulland, E.J. (2011) Encounter data in resource management and ecology: pitfalls and possibilities. Journal of Applied Ecology, 48, 1164-1173.
27. Keeping, D. (2014) Rapid assessment of wildlife abundance: estimating animal density with track counts using body mass-day range scaling rules. Animal Conservation, 17, 486-497.
28. Larson, M.A., Thompson, F.R., Millspaugh, J.J., Dijak, W.D. & Shifley, S.R. (2004) Linking population viability, habitat suitability, and landscape simulation models for conservation planning. Ecological Modelling, 180, 103-118.
29. Laundré, J.W. (2010) Behavioral response races, predator-prey shell games, ecology of fear, and patch use of pumas and their ungulate prey. Ecology, 91, 2995-3007.
30. Mace, G.M., Collar, N.J., Gaston, K.J., Hilton-Taylor, C., Akçakaya, H.R., Leader-Williams, N., Milner-Gulland, E.J. & Stuart, S.N. (2008) Quantification of extinction risk: IUCN's system for classifying threatened species. Conservation Biology, 22, 1424-1442.
31. Marra, P.P. & Holberton, R.L. (1998) Corticosterone levels as indicators of habitat quality: effects of habitat segregation in a migratory bird during the non-breeding season. Oecologia, 116, 284-292.
32. Martin, J., Revilla, E., Quenette, P.-Y., Naves, J., Allainé, D. & Swenson, J.E. (2012) Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data. Journal of Applied Ecology, 49, 621-631.
33. McDonald, R.A. & Harris, S. (1999) The use of trapping records to monitor populations of stoats Mustela erminea and weasels M. nivalis: the importance of trapping effort. Journal of Applied Ecology, 36, 679-688.
34. McNamara, J. & Houston, A. (1987) Starvation and predation as factors limiting population size. Ecology, 68, 1515-1519.
35. Millennium Ecosystem Assessment (2005) Ecosystems and Human Well-Being: Synthesis. Island Press, Washington DC.
36. Morrison, M.L., Marcot, B.G. & Mannan, R.W. (1992) Wildlife-Habitat Relationships: Concepts and Applications. University of Wisonsin Press, Madison, WI.
37. Mouchet, M.A., Villéger, S., Mason, N.W.H. & Mouillot, D. (2010) Functional diversity measures: an overview of their redundancy and their ability to discriminate community assembly rules. Functional Ecology, 24, 867-876.
38. Nieberding, C.M. & Olivieri, I. (2007) Parasites: proxies for host genealogy and ecology? Trends in Ecology & Evolution, 22, 156-165.
39. Nimmo, D., Watson, S., Forsyth, D. & Bradshaw, C. (2015) Dingoes can help conserve wildlife and our methods can tell. Journal of Applied Ecology, 52, doi: 10.1111/1365-2664.12369.
40. Perrings, C., Naeem, S., Ahrestani, F., Bunker, D.E., Burkill, P., Canziani, G. et al. (2010) Conservation. Ecosystem services for 2020. Science, 330, 323-324.
41. Petchey, O.L. & Gaston, K.J. (2006) Functional diversity: back to basics and looking forward. Ecology Letters, 9, 741-758.
42. Peters, R.H. (1991) A Critique for Ecology. Cambridge University Press, Cambridge.
43. Pettorelli, N. (2013a) Satellite data based indices to monitor land use and habitat changes. Biodiversity Monitoring and Conservation: Bridging the Gaps between Global Commitment and Location Action (eds C. Collen, N. Pettorelli, J.E.M. Baillie & S.M. Durant), pp. 97-119. Wiley-Blackwell, Oxford.
44. Pettorelli, N. (2013b) The Normalised Difference Vegetation Index. Oxford University Press, Oxford.
45. Pettorelli, N., Laurance, W.F., O'Brien, T.G., Wegmann, M., Nagendra, H. & Turner, W. (2014) Satellite remote sensing for applied ecologists: opportunities and challenges. Journal of Applied Ecology, 51, 839-848.
46. Pilastro, A., Tavecchia, G. & Marin, G. (2003) Long living and reproduction skipping in the fat dormouse. Ecology, 84, 1784-1792.
47. Pollock, K.H., Nichols, J.D., Simons, T.R., Farnsworth, G.L., Bailey, L.L. & Sauer, J.R. (2002) Large scale wildlife monitoring studies: statistical methods for design and analysis. Environmetrics, 13, 105-119.
48. Ravindranath, N.H. (2010) IPCC: accomplishments, controversies and challenges. Current Science, 99, 26-35.
49. Rovero, F., Marshall, A.R., Tridentino, M., Calepina, V., Ecological, U., Centre, M., Mountains, U., Park, N. & Box, P.O. (2009) Camera trapping photographic rate as an index of density in forest ungulates. Journal of Applied Ecology, 46, 1011-1017.
50. Rowcliffe, J.M., Field, J., Turvey, S.T. & Carbone, C. (2008) Estimating animal density using camera traps without the need for individual recognition. Journal of Applied Ecology, 45, 1228-1236.
51. Ruiz-Benito, P., Gómez-Aparicio, L., Paquette, A., Messier, C., Kattge, J. & Zavala, M.A. (2014) Diversity increases carbon storage and tree productivity in Spanish forests. Global Ecology and Biogeography, 23, 311-322.
52. Sasaki, T., Katabuchi, M., Kamiyama, C., Shimazaki, M., Nakashizuka, T. & Hikosaka, K. (2014) Vulnerability of moorland plant communities to environmental change: consequences of realistic species loss on functional diversity. Journal of Applied Ecology, 51, 299-308.
53. Saska, P., van der Werf, W., Hemerik, L., Luff, M.L., Hatten, T.D., Honek, A. & Pocock, M. (2013) Temperature effects on pitfall catches of epigeal arthropods: a model and method for bias correction. The Journal of Applied Ecology, 50, 181-189.
54. Schwarz, C. & Seber, G. (1999) Estimating animal abundance: review III. Statistical Science, 14, 427-456.
55. Sekar, S. (2012) A meta-analysis of the traits affecting dispersal ability in butterflies: can wingspan be used as a proxy? The Journal of Animal Ecology, 81, 174-184.
56. Sinclair, A. & Arcese, P. (1995) Population consequences of predation-sensitive foraging: the Serengeti wildebeest. Ecology, 76, 882-891.
57. Sinclair, A., Mduma, S. & Brashares, J. (2003) Patterns of predation in a diverse predator-prey system. Nature, 425, 288-290.
58. Stephens, P.A., Zaumyslova, O.Y., Miquelle, D.G., Myslenkov, A.I. & Hayward, G.D. (2006) Estimating population density from indirect sign: track counts and the Formozov - Malyshev - Pereleshin formula. Animal Conservation, 9, 339-348.
59. Sugihara, G., May, R., Ye, H., Hsieh, C., Deyle, E., Fogarty, M. & Munch, S. (2012) Detecting causality in complex ecosystems. Science, 338, 496-500.
60. Tilman, D., Reich, P.B., Knops, J., Wedin, D., Mielke, T. & Lehman, C. (2001) Diversity and productivity in a long-term grassland experiment. Science, 294, 843-845.
61. Tolonen, K.T., Hämäläinen, H., Lensu, A., Meriläinen, J.J., Palomäki, A. & Karjalainen, J. (2014) The relevance of ecological status to ecosystem functions and services in a large boreal lake. Journal of Applied Ecology, 51, 560-571.
62. Turnhout, E., Hisschemöller, M. & Eijsackers, H. (2007) Ecological indicators: between the two fires of science and policy. Ecological Indicators, 7, 215-228.
63. U.S. Senate Committee on Environment & Public Works (1973) Endangered Species Act of 1973.
64. Van Horne, B. (1983) Density as a misleading indicator of habitat quality. Journal of Wildlife Management, 47, 893-901.
65. Webbon, C., Baker, P. & Harris, S. (2004) Faecal density counts for monitoring changes in red fox numbers in rural Britain. Journal of Applied Ecology, 41, 768-779.
66. Werling, B.P., Dickson, T.L., Isaacs, R., Gaines, H., Gratton, C., Gross, K.L. et al. (2014) Perennial grasslands enhance biodiversity and multiple ecosystem services in bioenergy landscapes. Proceedings of the National Academy of Sciences, 111, 1652-1657.
67. Woodcock, B.A., Harrower, C., Redhead, J., Edwards, M., Vanbergen, A.J., Heard, M.S., Roy, D.B. & Pywell, R.F. (2014) National patterns of functional diversity and redundancy in predatory ground beetles and bees associated with key UK arable crops. Journal of Applied Ecology, 51, 142-151.