Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north

Diversity and Distributions

Volumn 20, Issue 2, 2014, Pages 193-201

  Jarnevich, Catherine S ^a   Esaias, Wayne E ^b   Ma, Peter L A ^b   Morisette, Jeffery T ^a   Nickeson, Jaime E ^b   Stohlgren, Thomas J ^a   Holcombe, Tracy R ^a   Nightingale, Joanne M ^b   Wolfe, Robert E ^b   Tan, Bin ^b  

^a FORT COLLINS SCIENCE CENTER   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Africanized honeybee; Apis mellifera; Habitat suitability; Species distribution modelling; Vegetation phenology

Indexed keywords

CLIMATE EFFECT; GEOGRAPHICAL DISTRIBUTION; HABITAT STRUCTURE; HONEYBEE; MAPPING; POPULATION DISTRIBUTION; POPULATION MODELING; REGIONAL PATTERN; VEGETATION STRUCTURE;

UNITED STATES;

APIS MELLIFERA; APIS MELLIFERA SCUTELLATA;

EID: 84891833495     PISSN: 13669516     EISSN: 14724642     Source Type: Journal    
DOI: 10.1111/ddi.12143     Document Type: Article

References (37)

1. Austin, M.P. (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecological Modelling, 157, 101-118.
2. Ayers, G.S. & Harman, J.R. (1992) Bee forage of North America and the potential for planting for bees. The Hive and the Honey Bee (ed. by J. Graham) pp. 437-493. Dadant and Sons Inc, Hamilton, IL.
3. Bolliger, J., Kienast, F., Soliva, R. & Rutherford, G. (2007) Spatial sensitivity of species habitat patterns to scenarios of land use change (Switzerland). Landscape Ecology, 22, 773-789.
4. Bradley, B.A., Olsson, A.D., Wang, O., Dickson, B.G., Pelech, L., Sesnie, S.E. & Zachmann, L.J. (2012) Species detection vs. habitat suitability: are we biasing habitat suitability models with remotely sensed data? Ecological Modelling, 244, 57-64.
5. Buisson, L., Thuiller, W., Casajus, N., Lek, S. & Grenouillet, G. (2009) Uncertainty in ensemble forecasting of species distribution. Global Change Biology, 16, 1145-1157.
6. Crall, A.W., Jarnevich, C.S., Panke, B., Young, N., Renz, M. & Morisette, J. (2013) Using habitat suitability models to target invasive plant species surveys. Ecological Applications, 23, 60-72.
7. Elith, J., Graham, C.H., Anderson, R.P. et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29, 129-151.
8. Elith, J., Leathwick, J.R. & Hastie, T. (2008) A working guide to boosted regression trees. Journal of Animal Ecology, 77, 802-813.
9. Fei, S.L., Liang, L., Paillet, F.L., Steiner, K.C., Fang, J.Y., Shen, Z.H., Wang, Z.H. & Hebard, F.V. (2012) Modelling chestnut biogeography for American chestnut restoration. Diversity and Distributions, 18, 754-768.
10. Guisan, A. & Zimmermann, N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
11. Hansen, M.C., DeFries, R.S., Townshend, J.R.G., Carroll, M., Dimiceli, C. & Sohlberg, R.A. (2003) Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm. Earth Interactions, 7, 1-15.
12. Harrison, J.F., Fewell, J.H., Anderson, K.E. & Loper, G.M. (2006) Environmental physiology of the invasion of the Americas by Africanized honeybees. Integrative and Comparative Biology, 46, 1110-1122.
13. Heikkinen, R.K., Luoto, M., Araujo, M.B., Virkkala, R., Thuiller, W. & Sykes, M.T. (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography, 30, 751-777.
14. Hepburn, H.R. & Radloff, S.E. (1995) First approximation to a phenology of the honeybees (Apis mellifera) and flora of Africa. Oecologia, 1010, 265-273.
15. Hepburn, H.R. & Radloff, S.E. (1998) Honeybees of Africa. Springer, New York.
16. Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965-1978.
17. Hinojosa-Diaz, I.A., Feria-Arroyo, T.P. & Engel, M.S. (2009) Potential distribution of orchid bees outside their native range: the cases of Eulaema polychroma (Mocsary) and Euglossa viridissima Friese in the USA (Hymenoptera: Apidae). Diversity and Distributions, 15, 421-428.
18. Hosmer, D.W. & Lemeshow, S. (2000) Applied logistic regression, 2nd edn. Wiley, New York.
19. Jimenez-Valverde, A. & Lobo, J.M. (2007) Threshold criteria for conversion of probability of species presence to either-or presence-absence. Acta Oecologica-International Journal of Ecology, 31, 361-369.
20. Kadoya, T., Ishii, H.S., Kikuchi, R., Suda, S. & Washitani, I. (2009) Using monitoring data gathered by volunteers to predict the potential distribution of the invasive alien bumblebee Bombus terrestris. Biological Conservation, 142, 1011-1017.
21. Leathwick, J.R., Elith, J. & Hastie, T. (2006) Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions. Ecological Modelling, 199, 188-196.
22. Liu, C.R., Berry, P.M., Dawson, T.P. & Pearson, R.G. (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography, 28, 385-393.
23. McAlpine, C.A., Rhodes, J.R., Bowen, M.E., Lunney, D., Callaghan, J.G., Mitchell, D.L. & Possingham, H.P. (2008) Can multiscale models of species' distribution be generalized from region to region? A case study of the koala. Journal of Applied Ecology, 45, 558-567.
24. McPherson, J.M., Jetz, W. & Rogers, D.J. (2004) The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? Journal of Applied Ecology, 41, 811-823.
25. Measey, G.J., Rödder, D., Green, S.L., Kobayashi, R., Lillo, F., Lobos, G., Rebelo, R. & Thirion, J.M. (2012) Ongoing invasions of the African clawed frog, Xenopus laevis: a global review. Biological Invasions, 14, 2255-2270.
26. Prasad, A.M., Iverson, L.R. & Liaw, A. (2006) Newer classification and regression tree techniques: bagging and random forests for ecological prediction. Ecosystems, 9, 181-199.
27. Schneider, S., DeGrandi-Hoffman, G. & Roan Smith, D. (2004) The African honey bee: factors contributing to a successful biological invasion. Annual Review of Entomology, 49, 351-376.
28. Southwick, E.E., Roubik, D.W. & Williams, J.M. (1990) Comparative energy balance in groups of Africanized and European honey bees: ecological implications. Comparative Biochemistry and Physiology Part A: Physiology, 97, 1-7.
29. Stohlgren, T.J., Ma, P., Kumar, S., Rocca, M., Morisette, J.T., Jarnevich, C.S. & Benson, N. (2010) Ensemble habitat mapping of invasive plant species. Risk Analysis, 30, 224-235.
30. Swets, J.A. (1988) Measuring the accuracy of diagnostic systems. Science, 240, 1285-1293.
31. Tan, B., Morisette, J.T., Wolfe, R., Gao, F., Ederer, G., Nightingale, J. & Pedelty, J.A. (2008) Vegetation phenology metrics derived from temporally smoothed and gap-filled MODIS data. Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, 3, 593-595.
32. Taylor, O.R. & Spivak, M. (1984) Climatic limits of tropical African honeybees in the Americas. Bee World, 65, 38-47.
33. Thomas, C.D., Cameron, A., Green, R.E., Bakkenes, M., Beaumont, L.J., Collingham, Y.C., Erasmus, B.F.N., de Siqueira, M.F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., van Jaarsveld, A.S., Midgley, G.F., Miles, L., Ortega-Huerta, M.A., Peterson, A.T., Phillips, O.L. & Williams, S.E. (2004) Extinction risk from climate change. Nature, 427, 145-148.
34. Urbina-Cardona, J.N. & Flores-Villela, O. (2010) Ecological-niche modeling and prioritization of conservation-area networks for Mexican herpetofauna. Conservation Biology, 24, 1031-1041.
35. Villa, J.D., Rinderer, T.E. & Stelzer, J.A. (2002) Answers to the puzzling distribution of Africanized bees in the United States. American Bee Journal, 142, 480-483.
36. Winston, M.L. (1992) Killer bees the Africanized honey bee in the Americas. Harvard University Press, Cambridge, MA.
37. Zimmermann, N.E., Edwards, T.C., Moisen, G.G., Frescino, T.S. & Blackard, J.A. (2007) Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah. Journal of Applied Ecology, 44, 1057-1067.