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Integrated environmental assessment and management
Aug 08, 2020;

Efficient Mammal Biodiversity Surveys for Ecological Restoration Monitoring.

Nicholas S Green, Mark L Wildhaber, Janice L Albers, Thomas W Pettit, Michael J Hooper
Author Information
  1. Nicholas S Green: US Geological Survey, Columbia Environmental Research Center, Columbia, Missouri. ORCID
  2. Mark L Wildhaber: US Geological Survey, Columbia Environmental Research Center, Columbia, Missouri. ORCID
  3. Janice L Albers: US Geological Survey, Columbia Environmental Research Center, Columbia, Missouri. ORCID
  4. Thomas W Pettit: University of Maryland University College-Asia, Yokota, Fussa-shi, Japan.
  5. Michael J Hooper: US Geological Survey, Columbia Environmental Research Center, Columbia, Missouri. ORCID
PMID: 32770800 DOI: 10.1002/ieam.4324

Abstract

Efficient biodiversity surveys are critical for successful restoration monitoring and management. We studied the effect of varying sampling effort on the observed species richness of surveys of small mammals (trapping transects), bats (passive acoustic detection), and medium to large mammals (trail cameras). Field studies provided mammalian biodiversity data for 4 bottomland hardwood restoration sites in northeastern Indiana. Subsampled data were used to simulate monitoring surveys with a range of levels of effort. We then used hierarchical Bayesian nonlinear mixed models to analyze how different components of sampling effort affected observed species richness, a key monitoring outcome. We found that observed small mammal richness increased with the increased number of transects in a survey, while observed bat and medium to large mammal richness increased with the increased duration of sampling. Variation between sites was important for the observed richness of small mammals and bats but not for medium to large mammals. The key driver of richness observed in simulated surveys was related to the spatial scale at which target fauna interact with the habitat, with decreasing richness accompanied by a greater spatial scale of animal-habitat interactions. Our findings suggest taxon-specific recommendations for efficiently quantifying the mammalian diversity of managed sites. Integr Environ Assess Manag 2020;00:1-13. © 2020 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Keywords

Bat acoustic monitoring Bayesian inference Biodiversity monitoring Mammal monitoring Wildlife surveys

References

  1. Andersen DC, Folk ML. 1993. Blarina brevicauda and Peromyscus leucopus reduce overwinter survivorship of acorn weevils in an Indiana hardwood forest. J Mammal 74:656-664.
  2. Arab A, Wildhaber ML, Wikle CK, Stoner CN. 2008. Zero-inflated modeling catch per unit area resulting from multiple gears: Application to channel catfish and shovelnose sturgeon in the Missouri River. N Am J Fish Manag 28:1044-1058.
  3. Avenant N. 2011. The potential utility of rodents and other small mammals as indicators of ecosystem “integrity” of South African grasslands. Wildl Res 38:626-639.
  4. Barclay RMR. 1999. Bats are not birds-A cautionary note on using echolocation calls to identify bats: A comment. J Mammal 80:290-296.
  5. Berkowitz JF. 2013. Development of restoration trajectory metrics in reforested bottomland hardwood forests applying a rapid assessment approach. Ecol Indic 34:600-606.
  6. Bissonette JA, Kassar CA, Cook LJ. 2008. Assessment of costs associated with deer-vehicle collisions: Human death and injury, vehicle damage, and deer loss. Hum-Wildl Interact 2:17-27.
  7. Block EK. 1988. The effects of the organophosphate pesticide Counter® on deer mice (Peromyscus): An integrated laboratory and field study [Masters thesis]. Bellingham (WA): Western Washington Univ.
  8. Bolker BM. 2009. Ecological models and data in R. Princeton (NJ): Princeton Univ Press. 409 p.
  9. Bolker BM, Brooks ME, Clark CJ, Geange SW, Poulsen JR, Stevens MHH, White JSS. 2008. Generalized linear mixed models: A practical guide for ecology and evolution. Trends Ecol Evol 24(3):127-135.
  10. Brant DH. 1962. Measure of the movements and population densities of small rodents. Univ Calif Publ Zool 62:105-184.
  11. Britzke ER, Gillam EH, Murray KL. 2013. Current state of understanding of ultrasonic detectors for the study of bat ecology. Acta Theriol 58:109-117.
  12. Coleman LS, Ford WM, Dobony CA, Britzke ER. 2014. A comparison of passive and active acoustic sampling for a bat community impacted by white-nose syndrome. J Fish Wildl Manag 5:217-226.
  13. Crooks KR, Soulé ME. 1999. Mesopredator release and avifaunal extinctions in a fragmented system. Nature 400:563-566.
  14. Deiner K, Bik HM, Machler E, Seymour M, Lacoursiere-Rousse A, Altermatt F, Creer S, Bista I, Lodge DM, de Vere N et al. 2017. Environmental DNA metabarcoding: Transforming how we survey animal and plant communities. Mol Ecol 26:5272-5895.
  15. Dueser RD, Shugart HH. 1978. Microhabitats in a forest-floor small mammal fauna. Ecology 59:89-98.
  16. Erb PL, McShea WJ, Guralnick RP. 2012. Anthropogenic influences on macro-level mammal occupancy in the Appalachian trail corridor. PLoS One 7(8):e42574.
  17. Fischer J, Brosi B, Daily GC, Ehrlich PR, Goldman R, Goldstein J, Lindenmayer DB, Manning AD, Mooney HA, Pejchar L et al. 2008. Should agricultural policies encourage land sparing or wildlife-friendly farming? Front Ecol Environ 6:380-385.
  18. Froidevaux JSP, Zellweger F, Bollmann K, Olbrist MK. 2014. Optimizing passive acoustic sampling of bats in forests. Ecol Evol 4(24):4690-4700.
  19. Gelman A, Rubin DB. 1992. Inference from iterative simulation using multiple sequences. Stat Sci 7:457-511.
  20. Gompper ME, Kays RW, Ray JC, Lapoint SD, Bogan DA, Cryan JR. 2006. A comparison of noninvasive techniques to survey carnivore communities in northeastern North America. Wildl Soc Bull 34:1142-1151.
  21. Gorresen PM, Miles AC, Todd CM, Bonaccorso FJ, Weller TJ. 2008. Assessing bat detectability and occupancy with multiple automated echolocation detectors. J Mammal 89:11-17.
  22. Gotelli NJ, Colwell RK. 2001. Quantifying biodiversity: Procedures and pitfalls in the measurement and comparison of species richness. Ecol Lett 4:379-391.
  23. Green NS, Wildhaber ML, Albers JL, Pettit TW, Hooper MH. 2020. Mammalian biodiversity data for four bottomland hardwood restoration sites in Northeastern Indiana USA May 2015-August 2016; US Geological Survey data release. [accessed 2020 Aug 10]. https://doi.org/10.5066/P9RXPYRL
  24. Green NS, Wilkins KT. 2014. Habitat associations of the rodent community in a Grand Prairie preserve. Southwest Nat 59:349-355.
  25. Harder JD, Kotheimer JK, Hamilton IM. 2014. A regional study of diversity and abundance of small mammals in Ohio. Northeast Nat 21:210-233.
  26. Hayes JP. 2000. Assumptions and practical considerations in the design and interpretation of echolocation-monitoring studies. Acta Chiropterol 2:225-236.
  27. Hooper MJ, Glomb SJ, Harper DD, Hoelzle TB, McIntosh LM, Mulligan DR. 2016. Integrated risk and recovery monitoring of ecosystem restorations on contaminated sites. Integr Environ Assess Manag 12:284-295.
  28. Hurst ZM, McCleery RA, Collier BA, Silvy NJ, Taylor PJ, Monadjem A. 2014. Linking changes in small mammal communities to ecosystem functions in an agricultural landscape. Mamm Biol 79:17-23.
  29. Jones C, McShea WJ, Conroy MJ, Kunz TH. 1996. Capturing mammals. In: Wilson DE, Cole FR, Nichols JD, Rudran R, Foster MS, editors. Measuring and monitoring biological diversity: Standard methods for mammals. Washington (DC): Smithsonian Institution Press. p 115-155.
  30. Kéry M. 2010. Introduction to WinBUGS for ecologists. Burlington (MA): Academic Press. 321 p.
  31. Kunz BK, Waddle JH, Green NS. 2019. Amphibian monitoring in hardwood forests: Optimizing methods for contaminant-based compensatory restorations. Integr Environ Assess Manag. https://doi.org/10.1002/ieam.4202
  32. Kunz TH, Betke M, Hristov NI, Vonhof MJ. 2009. Methods for assessing colony size, populations size, and relative abundance of bats. In: Kunz TH, Parsons S, editors. Ecological and behavioral methods for the study of bats. 2nd ed. Baltimore (MD): Johns Hopkins University Press. p 133-157.
  33. Kunz TH, Braun de Torrez E, Bauer D, Lobova T, Fleming TH. 2011. Ecosystem services provided by bats. Ann NY Acad Sci 1223:1-38.
  34. Kurz DJ, McGinty NA, Stankavich SA. 2013. Restored wetlands can support mammalian assemblages comparable to those in nonmitigated reference wetlands. Am Midl Nat 170:260-273.
  35. Leonard J. 2008. Wildlife watching in the United States: The economic impacts on national and state economies in 2006. Wildlife and sport fish restoration programs. Arlington (VA): US Fish and Wildlife Service. [accessed 2020 Apr 10]. https://digitalmedia.fws.gov/digital/collection/document/id/1906/
  36. Linduska JP. 1942. Winter rodent populations in field-shocked corn. J Wildl Manage 6:353-363.
  37. Long RA, MacKay P, Zielinski WJ, Ray JC. 2009. Noninvasive survey methods for carnivores. Washington (DC): Island Press. 399 p.
  38. Lunn D, Spiegelhalter D, Thomas A, Best N. 2009. The BUGS project: Evolution, critique and future directions. Stat Med 28:3049-3067.
  39. Manley PN, Van Horne B, Roth JK, Zielinski WJ, McKenzie MM, Weller TJ, Weckerly FW, Vojta C. 2006. Multiple species inventory and monitoring technical guide. Version 1.0. Washington (DC): US Department of Agriculture, Forest Service. General Technical Report WO-73. [accessed 2015 Jul 16]. https://pdfs.semanticscholar.org/b49e/b746a2be5a43e85849b4d007e681e0756a10.pdf
  40. Manley PN, Zielinski WJ, Schlesinger MD, Mori SR. 2004. Evaluation of a multiple-species approach to monitoring species at the ecoregional scale. Ecol Appl 12:296-310.
  41. Martin CO. 2009. Mammalian survey techniques for level II natural resource inventories on Corps of Engineers projects (Part 1). US Army Engineer Research and Development Center. Report ERDC TN-EMRRP-SI-34. [accessed 2015 Jul 16]. http://hdl.handle.net/11681/3976
  42. Mérő TO, Bocz R, Polyák L, Horváth G, Lengyel S. 2015. Local habitat management and landscape-scale restoration influence small-mammal communities in grasslands. Anim Conserv 18:442-450.
  43. Morrison ML. 2002. Wildlife restoration: Techniques for habitat analysis and animal monitoring. Washington (DC): Island Press. 233 p.
  44. Nichols JD, Williams BK. 2006. Monitoring for conservation. Trends Ecol Evol 21:668-673.
  45. O'Connell AF, Talancy NW, Bailey LL, Sauer JR, Cook R, Gilbert AT. 2006. Estimating site occupancy and detection probability parameters for meso-and large mammals in a coastal ecosystem. J Wildl Manage 70:1625-1633.
  46. O'Farrell MJ, Gannon WL. 1999. A comparison of acoustic versus capture techniques for the inventory of bats. J Mammal 80:24-30.
  47. Olson DJ, Issert JA, Warner RE. 2001. Autumn post-harvest density and movements of small mammals on an Illinois cornfield. Trans Ill State Acad Sci 94:101-109.
  48. Orrock JL, Danielson BJ. 2009. Temperature and cloud cover, but not predator urine, affect winter foraging of mice. Ethology 115:641-648.
  49. Pearson DE, Ruggiero LF. 2003. Transect versus grid trapping arrangements for sampling small-mammal communities. Wildl Soc Bull 31(2):454-459.
  50. Peck MR, Maddock ST, Morales JN, Oñate H, Mafla-Endara P, Peñafiel VA, Torres-Carvajal O, Tolhurst BA. 2014. Cost-effectiveness of using small vertebrates as indicators of disturbance. Conserv Biol 28:1331-1341.
  51. Petticrew BG, Sadleir RMFS. 1970. The use of index trap lines to estimate population numbers of deer mice (Peromyscus maniculatus) in a forest environment in British Columbia. Can J Zool 48:385-389.
  52. R Core Team. 2013. R: A language and environment for statistical computing. Vienna (AT): R Foundation for Statistical Computing. [accessed 2013 Dec 10]. http://www.R-project.org/
  53. Roberts CW, Pierce BL, Braden AW, Lopez RR, Silvy NJ, Frank PA, Ransom D. 2006. Comparison of camera and road survey estimates for white-tailed deer. J Wildl Manage 70:263-269.
  54. Rodhouse TJ, Vierling KT, Irvine KM. 2011. A practical sampling design for acoustic surveys of bats. J Wildl Manage 75(5):1094-1102.
  55. Roemer GW, Gompper ME, Van Valkenburgh B. 2009. The ecological role of the mammalian mesocarnivore. BioScience 59:165-173.
  56. Sikes RS, Gannon WL, 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. J Mammal 92:235-253.
  57. Sikes RS, Paul E, Beaupre SJ. 2012. Standards for wildlife research: Taxon-specific guidelines versus US Public Health Service Policy. BioScience 62:830-834.
  58. Skalak SL, Sherwin RE, Brigham RM. 2012. Sampling period, size and duration influence measures of bat species richness from acoustic surveys. Methods Ecol Evol 3:490-502.
  59. Spiegelhalter DJ, Best NG, Carlin BP, van der Linde A. 2014. The deviance information criterion: 12 years on. J R Stat Soc B 76:485-493.
  60. Steele BB, Bayn RL, Grant CV. 1984. Environmental monitoring using populations of birds and small mammals: Analyses of sampling effort. Biol Cons 30:157-172.
  61. Sturtz S, Ligges U, Gelman A. 2005. R2WinBUGS: A package for running WinBUGS from R. J Stat Softw 12(3):1-16.
  62. Szewczak JM. 2004. Advanced analysis techniques for identifying bat species. In: Brigham RM, Kalko EKV, Jones G, Parsons S, Limpens HJGA, editors. Bat echolocation research: Tools, techniques and analysis. Austin (TX): Bat Conservation International. p 121-127.
  63. Turner TN. 2018. Effects of human land use on the activity, diversity, and distribution of native bats [Masters thesis]. Bowling Green (OH): Bowling Green State Univ.
  64. [USDI, USFWS, USDC, USCB] US Department of the Interior, US Fish and Wildlife Service, and US Department of Commerce, US Census Bureau. 2011. 2011 National survey of fishing, hunting, and wildlife-associated recreation. FHW/11-NAT(RV). [accessed 2015 May 9]. http://www.census.gov/prod/2012pubs/fhw11-nat.pdf
  65. Waller DM, Alverson WS. 1997. The white-tailed deer: A keystone herbivore. Wildl Soc Bull 25:217-226.
  66. Warburton DB, Klimstra WD. 1984. Wildlife use of no-till and conventionally tilled corn fields. J Soil Water Conserv 39:327-330.
  67. Whitaker JO, Mumford RE. 2009. Mammals of Indiana. Bloomington (IN): Indiana University Press. 352 p.
  68. Wickramasinghe LP, Harris S, Jones G, Vaughan N. 2003. Bat activity and species richness on organic and conventional farms: Impact of agricultural intensification. J Appl Ecol 40:984-993.
  69. Wikle CK, Zammit-Mangion A, Cressie N. 2019. Spatio-temporal statistics R. Boca Raton (FL): Chapman and Hall/CRC. 396 p.
  70. Young RE. 1984. Response of small mammals to no-till agriculture in southwestern Iowa [Masters thesis]. Ames (IA): Iowa State University.
  71. Yunger JA, Randa LA. 1999. Trap decontamination using hypochlorite: Effects on trappability of small mammals. J Mammal 80:1336-1340.

Grants

  1. /US Department of Interior Office of Restoration and Damage Assessment (ORDA)
  2. /US Geological Survey Columbia Environmental Research Center (CERC)
Journal Article
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