Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models

Ecological Applications

Volumn 22, Issue 4, 2012, Pages 1098-1113

  Rodhouse, Thomas J ^a,e   Ormsbee, Patricia C ^b   Irvine, Kathryn M ^c   Vierling, Lee A ^a   Szewczak, Joseph M ^d   Vierling, Kerri T ^a  

^a UNIVERSITY OF IDAHO   (United States)

^b USDA FOREST SERVICE   (United States)

^c U S GEOLOGICAL SURVEY   (United States)

^d HUMBOLDT STATE UNIVERSITY   (United States)

^e NATIONAL PARK SERVICE   (United States)

Author keywords

Bats; Bayesian hierarchical model; Chiroptera; Conservation; Detectability; Monitoring; Myotis lucifugus; Net primary productivity; Occupancy; Species distribution; Species energy theory; Trend

Indexed keywords

BAT; BAYESIAN ANALYSIS; CLIMATE CHANGE; DEMOGRAPHIC TREND; FOREST COVER; HABITAT CONSERVATION; HABITAT LOSS; MONITORING; NET PRIMARY PRODUCTION; POPULATION DECLINE; POPULATION STRUCTURE; WIND POWER;

ANIMAL; ARTICLE; BAT; BIOLOGICAL MODEL; ENVIRONMENTAL MONITORING; PHYSIOLOGY; POPULATION DYNAMICS; UNITED STATES;

ANIMALS; CHIROPTERA; ENVIRONMENTAL MONITORING; MODELS, BIOLOGICAL; OREGON; POPULATION DYNAMICS; WASHINGTON;

UNITED STATES;

CHIROPTERA; MYOTIS LUCIFUGUS;

EID: 84862983826     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/11-1662.1     Document Type: Article

References (88)

1. Adams, R. A., and M. A. Hayes. 2008. Water availability and successful lactation by bats as related to climate change in arid regions of western North America. Journal of Animal Ecology 77:1115-1121.
2. Arnett, E. B., et al. 2008. Patterns of fatality of bats at wind energy facilities in North America. Journal of Wildlife Management 72:61-78. (Pubitemid 351171950)
3. Barclay, R. M. R., J. Ulmer, C. J. A. MacKenzie, M. S. Thompson, L. Olson, J. McCool, E. Cropley, and G. Poll. 2004. Variation in the reproductive rate of bats. Canadian Journal of Zoology 82:688-693. (Pubitemid 39225231)
4. Beale, C. M., J. J. Lennon, J. M. Yearsley, M. J. Brewer, and D. A. Elston. 2010. Regression analysis of spatial data. Ecology Letters 13:246-264.
5. Blehert, D. S., et al. 2009. Bat white-nose syndrome: an emerging fungal pathogen? Science 323:227.
6. Boyles, J. G., P. M. Cryan, G. F. McCracken, and T. H. Kunz. 2011. Economic importance of bats in agriculture. Science 332:41-42.
7. Cliff, A. D., and J. K. Ord. 1981. Spatial processes: models and applications. Pion, London, UK.
8. Cressie, N., C. A. Calder, J. S. Clark, J. M. Ver Hoef, and C. K. Wikle. 2009. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecological Applications 19:553-570.
9. Cryan, P. M., C. U. Meteyer, J. G. Boyles, and D. S. Blehert. 2010. Wing pathology of white-nose syndrome in bats suggests life-threatening disruption of physiology. BMC Biology 8:135.
10. de Gruijter, J., D. Brus, M. Bierkens, and M. Knotters. 2006. Sampling for natural resource monitoring. Springer Berlin/Heidelberg, Berlin, Germany.
11. Duchamp, J. E., M. Yates, R. M. Muzika, and R. K. Swihart. 2006. Estimating probabilities of detection for bat echolocation calls: an application of the double-observer method. Wildlife Society Bulletin 34:408-412. (Pubitemid 43993757)
12. Dzal, Y., L. P. McGuire, N. Veselka, and M. B. Fenton. 2011. Going, going, gone: the impact of white-nose syndrome on the summer activity of the little brown bat (Myotis lucifugus). Biology Letters 7:392-394.
13. Elith, J., M. Kearney, and S. Phillips. 2010. The art of modeling range-shifting species. Methods in Ecology and Evolution 1:330-342.
14. Elith, J., and J. R. Leathwick. 2009. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 40:677-697.
15. Evans, K. L., P. H. Warren, and K. J. Gaston. 2005. Speciesenergy relationships at the macroecological scale: a review of the mechanisms. Biological Reviews 80:1-25. (Pubitemid 40207488)
16. Fenton, M. B., and R. M. R. Barclay. 1980. Myotis lucifugus. Mammalian Species 142:1-8.
17. Fielding, A. H., and J. F. Bell. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24:38-49. (Pubitemid 27376840)
18. Fischer, J., J. Stott, B. S. Law, M. D. Adams, and R. I. Forrester. 2009. Designing effective habitat studies: quantifying multiple sources of variability in bat activity. Acta Chiropterologica 11:127-137.
19. Flaquer, C., I. Torre, and A. Arrizabalaga. 2007. Comparison of sampling methods for inventory of bat communities. Journal of Mammalogy 88:526-533. (Pubitemid 46744401)
20. Foley, J., D. Clifford, K. Castle, P. Cryan, and R. S. Ostfeld. 2011. Investigating and managing the rapid emergence of white-nose syndrome, a novel, fatal, infectious disease of hibernating bats. Conservation Biology 25:223-231.
21. Frick, W. F., J. F. Pollock, A. C. Hicks, K. E. Langwing, D. S. Reynolds, G. G. Turner, C. M. Butchkoski, and T. H. Kunz. 2010a. An emerging disease causes regional population collapse of a common North American bat species. Science 329:679-682.
22. Frick, W. F., D. S. Reynolds, and T. H. Kunz. 2010b. Influence of climate and reproductive timing on demography of little brown myotis Myotis lucifugus. Journal of Animal Ecology 79:128-136.
23. Gorresen, P. M., A. C. Miles, C. M. Todd, F. J. Bonaccorso, and T. J. Weller. 2008. Assessing bat detectability and occupancy with multiple automated echolocation detectors. Journal of Mammalogy 89:11-17. (Pubitemid 351304044)
24. Greaves, G. L., R. Mathieu, and P. J. Seddon. 2006. Predictive modeling and ground validation of the spatial distribution of the New Zealand long-tailed bat (Chalinobus tuberculatus). Biological Conservation 132:211-221. (Pubitemid 43946390)
25. Hawkins, B. A., R. Field, H. V. Cornell, D. J. Currie, J.-F. Guegan, D. M. Kaufman, J. T. Kerr, G. G. Mittelbach, T. Oberdorff, E. M. O'Brien, E. E. Porter, and J. R. G. Turner. 2003. Energy, water, and broad-scale geographic patterns of species richness. Ecology 84:3105-3117. (Pubitemid 38261402)
26. Hayes, J. P. 1997. Temporal variation in activity of bats and the design of echolocation monitoring studies. Journal of Mammalogy 78:514-524. (Pubitemid 29160343)
27. Hayes, J. P. 2003. Habitat ecology and conservation of bats in western coniferous forests. Pages 81-119 in C. J. Zabel and R. G. Anthony, editors. Mammal community dynamics in coniferous forests of western North America-management and conservation. Cambridge University Press, UK.
28. Hayes, J. P., H. K. Ober, and R. E. Sherwin. 2009. Survey and monitoring of bats. Pages 112-129 in T. H. Kunz and S. Parsons, editors. Ecological and behavioral methods for the study of bats. Second edition. Johns Hopkins University Press, Baltimore, Maryland, USA.
29. Hillen, J., A. Kiefer, and M. Vieth. 2010. Interannual fidelity to roosting habitat and flight paths by female western barbastelle bats. Acta Chiropterologica 12:187-195.
30. Hoeting, J. A., M. Leecaster, and D. Bowden. 2000. An improved model for spatially correlated binary response. Journal of Agricultural, Biological, and Environmental Statistics 5:102-114.
31. Holt, A. R., K. J. Gaston, and F. He. 2002. Occupancyabundance relationships and spatial distribution: a review. Basic and Applied Ecology 3:1-13. (Pubitemid 34140345)
32. Humphrey, S. R. 1975. Nursery roosts and community diversity of nearctic bats. Journal of Mammalogy 56:321-346.
33. Humphries, M. M., D. W. Thomas, and J. R. Speakman. 2002. Climate mediated energetic constraints on the distribution of hibernating mammals. Nature 418:313-316. (Pubitemid 34790679)
34. Huston, M. A., and S. Wolverton. 2011. Regulation of animal size by eNPP, Bergmann's rule, and related phenomena. Ecological Monographs 81:349-405.
35. Jaberg, C., and A. Guisan. 2001. Modelling the distribution of bats in relation to landscape structure in a temperate mountain environment. Journal of Applied Ecology 38:1169-1181. (Pubitemid 34045597)
36. Jones, J. P. G. 2011. Monitoring species abundance and distribution at the landscape scale. Journal of Applied Ecology 48:9-13.
37. Jones, G., D. S. Jacobs, T. H. Kunz, M. R. Willig, and P. A. Racey. 2009. Carpe noctem: the importance of bats as bioindicators. Endangered Species Research 8:93-115.
38. Kalcounis-Ruppell, M. C., J. Psyllakis, and R. M. Brigham. 2005. Tree roost selection by bats: an empirical synthesis using meta-analysis. Wildlife Society Bulletin 33:1123-1132. (Pubitemid 43059734)
39. Kery, M., B. Gardner, and C. Monnerat. 2010. Predicting species distributions from checklist data using site-occupancy models. Journal of Biogeography 37:1851-1862.
40. Kery, M., and M. Schaub. 2012. Bayesian population analysis using WinBUGS: a hierarchical perspective. Academic Press, London, UK.
41. Kunz, T. H., E. Braun de Torrez, D. Bauer, T. Lobova, and T. H. Fleming. 2011. Ecosystem services provided by bats. Annals of the New York Academy of Sciences 1223:1-38.
42. Kunz, T. H., and A. Kurta. 1988. Capture methods and holding devices. Pages 1-30 in T. H. Kunz, editor. Ecological and behavioral methods for the study of bats. Smithsonian Institution Press, Washington, D. C., USA.
43. Landesman, W. J., B. F. Allan, R. B. Langerhans, T. M. Knight, and J. M. Chase. 2007. Inter-annual associations between precipitation and human incidence of West Nile virus in the United States. Vector Borne and Zoonotic Diseases 7:337-343. (Pubitemid 47536178)
44. Luce, C. H., and Z. A. Holden. 2009. Declining annual streamflow distributions in the Pacific Northwest United States, 1948-2006. Geophysical Research Letters 36:1-6.
45. Lunn, D. J., A. Thomas, N. Best, and D. Spiegelhalter. 2000. WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 10:325-337.
46. MacKenzie, D. I., J. D. Nichols, J. E. Hines, M. G. Knutson, and A. B. Franklin. 2003. Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly. Ecology 84:2200-2207. (Pubitemid 37435693)
47. MacKenzie, D. I., J. D. Nichols, N. Sutton, K. Kawanishi, and L. L. Bailey. 2005. Improving inferences in population studies of rare species that are detected imperfectly. Ecology 86:1101-1113. (Pubitemid 40641183)
48. MacKenzie, D. I., and J. A. Royle. 2005. Designing occupancy studies: general advice and allocating survey effort. Journal of Applied Ecology 42:1105-1114. (Pubitemid 43138564)
49. McCain, C. M. 2007. Could temperature and water availability drive elevational species richness patterns? A global case study for bats. Global Ecology and Biogeography 16:1-13. (Pubitemid 44961704)
50. Meyer, C. F. J., et al. 2011. Accounting for detectability improves estimates of species richness in tropical bat surveys. Journal of Applied Ecology 48:777-787.
51. Milne, D. J., A. Fisher, and C. R. Pavey. 2006. Models of the habitat associations and distributions of insectivorous bats of the Top End of the Northern Territory, Australia. Biological Conservation 130:370-385.
52. Moore, J. E., and R. K. Swihart. 2005. Modeling site occupancy by forest rodents: incorporating detectability and spatial autocorrelation with hierarchically structured data. Journal of Wildlife Management 69:933-949. (Pubitemid 41681618)
53. Mote, P. W., and E. P. Salathe. 2010. Future climate in the Pacific Northwest. Climatic Change 102:29-50.
54. Nichols, J. D., T. Boulinier, J. E. Hines, K. H. Pollock, and J. R. Sauer. 1998. Estimating rates of local species extinction, colonization, and turnover in animal communities. Ecological Applications 8:1213-1225. (Pubitemid 28548004)
55. Ntzoufras, I. 2009. Bayesian modeling using WinBUGS. John Wiley and Sons, Hoboken, New Jersey, USA.
56. Ormsbee, P. C., J. M. Zinck, J. M. Szewczak, L. Patrick, and A. H. Hart. 2006. Benefits of a standardized sampling frame: an update on the "Bat Grid." Bat Research News 47:4.
57. O'Shea, T. J., M. A. Bogan, and L. E. Ellison. 2003. Monitoring trends in bat populations of the United States and territories-status of the science and recommendations for the future. Wildlife Society Bulletin 31:16-29. (Pubitemid 36524847)
58. Paradis, E., J. Claude, and K. Strimmer. 2004. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20:289-290. (Pubitemid 38195693)
59. Parsons, S., and J. M. Szewczak. 2009. Detecting, recording, and analyzing the vocalizations of bats. Pages 91-111 in T. H. Kunz and S. Parsons, editors. Ecological and behavioral methods for the study of bats. Johns Hopkins University Press, Baltimore, Maryland, USA.
60. Perry, R. W. 2010. Fidelity of bats to forest sites revealed from mist-netting recaptures. Journal of Fish and Wildlife Management 2:112-116.
61. Pierson, E. D. 1998. Tall trees, deep holes, and scarred landscapes: conservation biology of North American bats. Pages 309-325 in T. H. Kunz and P. A. Racey, editors. Bat biology and conservation. Smithsonian Institution Press, Washington, D. C., USA.
62. R Development Core Team. 2010. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
63. Redgwell, R. D., J. M. Szewczak, G. Jones, and S. Parsons. 2009. Classification of echolocation calls from 14 species of bat by support vector machines and ensembles of neural networks. Algorithms 2:907-924.
64. Reichard, J. D., and T. H. Kunz. 2009. White-nose syndrome inflicts lasting injuries to the wings of little brown myotis (Myotis lucifugus). Acta Chiropterologica 11:457-464.
65. Rocchini, D., J. Hortal, S. Lengyel, J. M. Lobo, A. Jimenez-Valverde, C. Ricotta, G. Bacaro, and A. Chiarucci. 2011. Accounting for uncertainty when mapping species distributions: the need for maps of ignorance. Progress in Physical Geography 35:211-226.
66. Rodhouse, T. J., S. A. Scott, P. C. Ormsbee, and J. M. Zinck. 2008. Field identification of Myotis yumanensis and Myotis lucifugus: a morphological evaluation. Western North American Naturalist 68:437-443.
67. Rodhouse, T. J., K. T. Vierling, and K. M. Irvine. 2011. A practical sampling design for acoustic surveys of bats. Journal of Wildlife Management 75:1094-1102.
68. Rosenzweig, M. L. 1995. Species diversity in space and time. Cambridge University Press, Cambridge, UK.
69. Royle, J. A., and R. M. Dorazio. 2008. Hierarchical modeling and inference in ecology. Elsevier, London, UK.
70. Royle, J. A., and M. Kery. 2007. A Bayesian state-space formulation of dynamic occupancy models. Ecology 88:1813-1823. (Pubitemid 351345201)
71. Royle, J. A., M. Kery, R. Gautier, and H. Schmid. 2007. Hierarchical spatial models of abundance and occurrence from imperfect survey data. Ecological Monographs 77:465-481. (Pubitemid 351342494)
72. Schipper, J., et al. 2008. The status of the world's land and marine mammals: diversity, threat, and knowledge. Science 322:225-230.
73. Scott, S. A. 2005. Identification and distribution of Myotis yumanensis and Myotis lucifugus bats in Oregon. Thesis. Portland State University, Portland, Oregon, USA.
74. Shmueli, G. 2010. To explain or to predict? Statistical Science 25:289-310.
75. Sikes, R. S., W. L. Gannon, and the Animal Care and Use Committee of the American Society of Mammalogists. 2011. Guidelines of the American Society of Mammalogists for the use of wild mammals in research. Journal of Mammalogy 92:235-253.
76. Spiegelhalter, D. J., N. G. Best, B. P. Carlin, and A. van der Linde. 2002. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B 64:583-639.
77. Sturtz, S., U. Ligges, and A. Gelman. 2005. R2WinBUGS: a package for running WinBUGS from R. Journal of Statistical Software 12:1-16. (Pubitemid 40218003)
78. Tyre, A. J., B. Tenhumberg, S. A. Field, D. Niejalke, K. Parris, and H. P. Possingham. 2003. Improving precision and reducing bias in biological surveys: estimating false-negative error rates. Ecological Applications 13:1790-1801. (Pubitemid 38362250)
79. Verts, B. J., and L. N. Carraway. 1998. Land mammals of Oregon. University of California Press, Berkeley, California, USA.
80. Wang, G. H., R. D. Owen, C. Sanches-Hernandez, and M. D. L. Romero-Almaraz. 2003. Ecological characterization of bat species distributions in Michoacan, Mexico, using a geographic information system. Global Ecology and Biogeography 12:65-85.
81. Weller, T. J. 2008. Using occupancy estimation to assess the effectiveness of a regional multiple species conservation plan: bats in the Pacific Northwest. Biological Conservation 141:2279-2289.
82. Weller, T. J., S. A. Scott, T. J. Rodhouse, P. C. Ormsbee, and J. Zinck. 2007. Field identification of the cryptic Vespertilionid bats, Myotis lucifugus and M. yumanensis. Acta Chiropterologica 9:133-147. (Pubitemid 47376497)
83. Willig, M. R., D. M. Kaufman, and R. D. Stevens. 2003. Latitudinal gradients of biodiversity: pattern, process, scale, and synthesis. Annual Review of Ecology, Evolution, and Systematics 34:273-309. (Pubitemid 38171421)
84. Wintle, B. A., and D. C. Bardos. 2006. Modeling species-habitat relationships with spatially autocorrelated observation data. Ecological Applications 16:1945-1958. (Pubitemid 44536939)
85. Wright, D. H. 1983. Species-energy theory: an extension of species-area theory. Oikos 41:496-506.
86. Wright, D. H., D. J. Currie, and B. A. Maurer. 1993. Energy supply and patterns of species richness on local and regional scales. Pages 66-74 in R. E. Ricklefs and D. Schluter, editors. Species diversity in ecological communities: historical and geographical perspectives. University of Chicago Press, Chicago, Illinois, USA.
87. Zhao, M., S. W. Running, F. A. Heinsch, and R. R. Nemani. 2011. MODIS-derived terrestrial primary production. Pages 635-660 in B. Ramachandran, C. O. Justice, and M. J. Abrams, editors. Land Remote Sensing and Global Environmental Change: NASA's earth observing system and the science of ASTER and MODIS. Springer, New York, New York, USA.
88. Zurell, D., F. Jeltsch, C. Dormann, and B. Schroder. 2009. Static species distribution models in dynamically changing systems: how good can predictions really be? Ecography 32:733-744.