Deriving field-based species sensitivity distributions (f-SSDs) from stacked species distribution models (S-SDMs)

Environmental Science and Technology

Volumn 48, Issue 24, 2014, Pages 14464-14471

  Schipper, Aafke M ^a   Posthuma, Leo ^b   De Zwart, Dick ^b   Huijbregts, Mark A J ^a  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; ENVIRONMENTAL MANAGEMENT; PROBABILITY DISTRIBUTIONS;

BIODIVERSITY PATTERNS; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL QUALITY STANDARDS; GOOD ECOLOGICAL STATUS; PROBABILITY OF OCCURRENCE; SPECIES DISTRIBUTION MODELING; SPECIES DISTRIBUTION MODELS; SPECIES SENSITIVITY DISTRIBUTIONS;

POPULATION DISTRIBUTION;

BIODIVERSITY; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MANAGEMENT; SENSITIVITY ANALYSIS; SPECIES RICHNESS;

AREA UNDER THE CURVE; ARTICLE; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MANAGEMENT; FIELD BASED SPECIES SENSITIVITY DISTRIBUTION; MACROINVERTEBRATE; NONHUMAN; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; SPECIES COMPOSITION; SPECIES DISTRIBUTION; SPECIES RICHNESS; SPECIES SENSITIVITY DISTRIBUTION;

EID: 84918560685     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es503223k     Document Type: Article

References (40)

1. Lyche Solheim, A.; Rekolainen, S.; Moe, S. J.; Carvalho, L.; Phillips, G.; Ptacnik, R.; Penning, W. E.; Toth, L. G.; O'Toole, C.; Schartau, A. K. L.; Hesthagen, T. Ecological threshold responses in European lakes and their applicability for the Water Framework Directive (WFD) implementation: Synthesis of lakes results from the REBECCA project Aquat. Ecol. 2008, 42 (2) 317-334
2. Struijs, J.; De Zwart, D.; Posthuma, L.; Leuven, R. S. E. W.; Huijbregts, M. A. J. Field sensitivity distribution of macroinvertebrates for phosphorus in inland waters Int. Environ. Assess. Manage. 2011, 7 (2) 280-6
3. Azevedo, L. B.; Van Zelm, R.; Elshout, P. M. F.; Hendriks, A. J.; Leuven, R. S. E. W.; Struijs, J.; De Zwart, D.; Huijbregts, M. A. J. Species richness-phosphorus relationships for lakes and streams worldwide Global Ecol. Biogeogr. 2013, 22 (12) 1304-1314
4. Crane, M.; Kwok, K. W. H.; Wells, C.; Whitehouse, P.; Lui, G. C. S. Use of field data to support European water framework directive quality standards for dissolved metals Environ. Sci. Technol. 2007, 41 (14) 5014-5021
5. Cade, B. S.; Noon, B. R. A gentle introduction to quantile regression for ecologists Front. Ecol. Environ. 2003, 1 (8) 412-420
6. Posthuma, L.; De Zwart, D. Predicted mixture toxic pressure relates to observed fraction of benthic macrofauna species impacted by contaminant mixtures Environ. Toxicol. Chem. 2012, 31, 2175-2188
7. Leung, K. M. Y.; Bjørgesæter, A.; Gray, J. S.; Li, W. K.; Lui, G. C. S.; Wang, Y.; Lam, P. K. S. Deriving sediment quality guidelines from field-based species sensitivity distributions Environ. Sci. Technol. 2005, 39 (14) 5148-5156
8. Cormier, S. M.; Suter, G. W., II A method for deriving water-quality benchmarks using field data Environ. Toxicol. Chem. 2013, 32 (2) 255-262
9. Iwasaki, Y.; Ormerod, S. J. Estimating safe concentrations of trace metals from inter-continental field data on river macroinvertebrates Environ. Pollut. 2012, 166, 182-186
10. Kefford, B. J.; Marchant, R.; Schafer, R. B.; Metzeling, L.; Dunlop, J. E.; Choy, S. C.; Goonan, P. The definition of species richness used by species sensitivity distributions approximates observed effects of salinity on stream macroinvertebrates Environ. Pollut. 2011, 159 (1) 302-310
11. Pearce, J. L.; Boyce, M. S. Modelling distribution and abundance with presence-only data J. Appl. Ecol. 2006, 43, 405-412
12. Verbrugge, L. N. H.; Schipper, A. M.; Huijbregts, M. A. J.; Van der Velde, G.; Leuven, R. S. E. W. Sensitivity of native and non-native mollusc species to changing river water temperature and salinity Biol. Invasions 2012, 14 (6) 1187-1199
13. Dubuis, A.; Pottier, J.; Rion, V.; Pellissier, L.; Theurillat, J.-P.; Guisan, A. Predicting spatial patterns of plant species richness: A comparison of direct macroecological and species stacking modelling approaches Diversity Distrib. 2011, 17 (6) 1122-1131
14. Gelfand, A. E.; Schmidt, A. M.; Wu, S.; Silander, J. A.; Latimer, A.; Rebelo, A. G. Modelling species diversity through species level hierarchical modelling J. R. Stat. Soc. Ser. C, Appl. Stat 2005, 54, 1-20
15. De Zwart, D.; Dyer, S. D.; Posthuma, L.; Hawkins, C. P. Predictive models attribute effects on fish assemblages to toxicity and habitat alteration Ecol. Appl. 2006, 16 (4) 1295-1310
16. Zuur, A. F.; Ieno, E. N.; Walker, N. J.; Saveliev, A. A.; Smith, G. M. Mixed Effect Models and Extensions in Ecology with R; Springer: New York, 2009.
17. Nelder, J. A. Functional marginality and response-surface fitting J. Appl. Stat. 2000, 27 (1) 109-112
18. Rushton, S. P.; Ormerod, S. J.; Kerby, G. New paradigms for modelling species distributions? J. Appl. Ecol. 2004, 41 (2) 193-200
19. Burnham, K. P.; Anderson, D. R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 2 nd ed.; Springer: New York, 2002.
20. Bartoń, K. MuMIn: Multi-model inference. R package 1.9.5, 2009. http://cran.r-project.org/web/packages/MuMIn/index.html.
21. Elith, J.; Leathwick, J. R. Species distribution models: Ecological explanation and prediction across space and time Annu. Rev. Ecol. Evolution Syst. 2009, 40, 677-697
22. Paradis, E.; Claude, J.; Strimmer, K. APE: Analyses of phylogenetics and evolution in R language Bioinformatics 2004, 20, 289-290
23. Manel, S.; Williams, H. C.; Ormerod, S. J. Evaluating presence-absence models in ecology: The need to account for prevalence J. Appl. Ecol. 2001, 38 (5) 921-931
24. Jimenez-Valverde, A. Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling Global Ecol. Biogeogr. 2012, 21 (4) 498-507
25. Fielding, A. H.; Bell, J. F. A review of methods for the assessment of prediction errors in conservation presence/absence models Environ. Conserv. 1997, 24 (1) 38-49
26. Freeman, E. A.; Moisen, G. PresenceAbsence: An R package for presence absence analysis J. Stat. Softw. 2008, 23 (11) 1-31
27. Legates, D. R.; McCabe, G. J. Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation Water Resour. Res. 1999, 35 (1) 233-241
28. Swets, J. A. Measuring the accuracy of diagnostic systems Science 1988, 240 (4857) 1285-1293
29. Calabrese, J. M.; Certain, G.; Kraan, C.; Dormann, C. F. Stacking species distribution models and adjusting bias by linking them to macroecological models Global Ecol. Biogeogr. 2014, 23 (1) 99-112
30. Aranda, S. C.; Lobo, J. M. How well does presence-only-based species distribution modelling predict assemblage diversity? A case study of the Tenerife flora Ecography 2011, 34 (1) 31-38
31. Mateo, R. G.; Felicísimo, á. M.; Pottier, J.; Guisan, A.; Muñoz, J. Do stacked species distribution models reflect altitudinal diversity patterns? PLoS One 2012, 7, e32586
32. Gaston, A.; Garcia-Vinas, J. I. Evaluating the predictive performance of stacked species distribution models applied to plant species selection in ecological restoration Ecol. Model. 2013, 263, 103-108
33. Cord, A. F.; Klein, D.; Gernandt, D. S.; de la Rosa, J. A. P.; Dech, S. Remote sensing data can improve predictions of species richness by stacked species distribution models: A case study for Mexican pines J. Biogeogr. 2014, 41 (4) 736-748
34. Eriksson, L.; Jaworska, J.; Worth, A. P.; Cronin, M. T. D.; McDowell, R. M.; Gramatica, P. Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs Environ. Health Perspect. 2003, 111 (10) 1361-1375
35. Grueber, C. E.; Nakagawa, S.; Laws, R. J.; Jamieson, I. G. Multimodel inference in ecology and evolution: Challenges and solutions J. Evolutionary Biol. 2011, 24 (4) 699-711
36. Link, W. A.; Barker, R. J. Model weights and the foundations of multimodel inference Ecology 2006, 87 (10) 2626-2635
37. Pellissier, L.; Pradervand, J. N.; Pottier, J.; Dubuis, A.; Maiorano, L.; Guisan, A. Climate-based empirical models show biased predictions of butterfly communities along environmental gradients Ecography 2012, 35 (8) 684-692
38. Chapman, P. M. Ecological risk assessment (ERA) and hormesis Sci. Total Environ. 2002, 288 (1-2) 131-140
39. Connell, J. H. Diversity in tropical rain forests and coral reefs-High diversity of trees and corals is maintained only in a nonequilibrium state Science 1978, 199 (4335) 1302-1310
40. Wright, J. F.; Sutcliffe, D. W.; Furse, M. T. Assessing the Biological Quality of Fresh Waters: RIVPACS and Other Techniques; The Freshwater Biological Association: Ambleside, 2000.