You may have access to the free features available through My Research. You can save searches, save documents, create alerts and more. Please log in through your library or institution to check if you have access.
You may have access to different export options including Google Drive and Microsoft OneDrive and citation management tools like RefWorks and EasyBib. Try logging in through your library or institution to get access to these tools.
ReferencesArnett, E. B., A. J.Kroll, and S. D.Duke. 2010. Avian foraging and nesting use of created snags in intensively-managed forests of western Oregon, USA. For. Ecol. Manage.260:1773–1779.Bagne, K. E., K. L.Purcell, and J. T.Rotenberry. 2008. Prescribed fire, snag population dynamics, and avian nest site selection. For. Ecol. Manage.255:99–105.Bailey, L. L., J. E.Hines, J. D.Nichols, and D. I.MacKenzie. 2007. Sampling design trade-offs in occupancy studies with imperfect detection: examples and software. Ecol. Appl.17:281–290.Bednarz, J. C., D.Ripper, and P. M.Radley. 2004. Emerging concepts and research directions in the study of cavity-nesting birds: keystone ecological processes. Condor106:1–4.Bennett, L. T., and M. A.Adams. 2004. Assessment of ecological effects due to forest harvesting: approaches and statistical issues. J. Appl. Ecol.41:585–598.Bunnell, F. L., L. L.Kremsater, and E.Wind. 1999. Managing to sustain vertebrate richness in forests of the Pacific Northwest: relationships within stands. Environ. Rev.7:97–146.California Department of Forestry and Fire Protection. 2007. California forest practice rules. California Department of Forestry and Fire Protection, Resource Management, Forest Practice Program, Sacramento, CA.Daily, G. C., P. R.Ehrlich, and N. M.Haddad. 1993. Double keystone bird in a keystone species complex. Proc. Natl Acad. Sci. USA90:592–594.Drever, M. C., and K.Martin. 2010. Response of woodpeckers to changes in forest health and harvest: implications for conservation of avian biodiversity. For. Ecol. Manage.259:958–966.Dudley, J., and V.Saab. 2003. A field protocol to monitor cavity-nesting birds. USDA Forest Service, Rocky Mountain Research Station, Research Paper RMRS-RP-44. Fort Collins, CO.Farnsworth, G. L., K. H.Pollock, J. D.Nichols, T. R.Simons, J. E.Hines, and J. R.Sauer. 2002. A removal model for estimating detection probabilities from point-count surveys. Auk119:414–425.Fieberg, J., M.Alexander, S.Tse, and K. St.Clair. 2013. Abundance estimation with sightability data: a Bayesian data augmentation approach. Methods Ecol. Evol., 4:854–864.Franklin, J. F.1989. Toward a new forestry. Am. For.95:37–44.Garrett, K. L., M. G.Raphael, and R. D.Dixon. 1996. White-headed woodpecker (Picoides albolarvatus). Pp. 252inA.Poole, F.Gill, eds. The birds of North America. American Ornithologists' Union, Philadelphia, PA.Gelman, A., J. B.Carlin, H. S.Stern, D. B.Dunson, A.Vehtari, and D. B.Rubin. 2013. Bayesian data analysis, 3rd edn. CRC Press, Boca Raton, FL.Hessburg, P. F., J. K.Agee, and J. F.Franklin. 2005. Dry forests and wildland fires of the inland Northwest USA: contrasting the landscape ecology of the pre-settlement and modem eras. For. Ecol. Manage.211:117–139.Hollenbeck, J. P., V. A.Saab, and R. W.Frenzel. 2011. Habitat suitability and nest survival of white-headed woodpeckers in unburned forests of Oregon. J. Wildl. Manag.75:1061–1071.Jones, C. G., J. H.Lawton, and M.Shachak. 1994. Organisms as ecosystem engineers. Oikos69:373–386.Kellner, K.2014. jagsUI: Run JAGS (specifically, libjags) from R; an alternative user interface for rjags. R package version 1.1.Kozma, J. M.2009. Nest-site attributes and reproductive success of White-headed and Hairy Woodpeckers along the east-slope Cascades of Washington State. pp. 52–61inT. D.Rich, C.Arizmendi, D.Demarest, C.Thompson, eds. Tundra to tropics: connecting birds, habitats and people. Proceedings of the 4th International Partners in Flight Symposium, McAllen, TX.Kozma, J. M.2011. Composition of forest stands used by white-headed woodpeckers for nesting in Washington. West. N. Am. Nat.71:1–9.Kroll, A. J., S. D.Duke, M. E.Hane, J. R.Johnson, M.Rochelle, M. G.Betts, et al. 2012. Landscape composition influences avian colonization of experimentally created snags. Biol. Conserv.152:145–151.Linden, D. W.2011. Impacts of structure retention on avian ecology in managed forests of the Pacific Northwest. PhD Dissertation, Michigan State University.Linden, D. W., and G. J.Roloff. 2013. Retained structures and bird communities in clearcut forests of the Pacific Northwest, USA. For. Ecol. Manage.310:1045–1056.Linden, D. W., G. J.Roloff, and A. J.Kroll. 2012. Conserving avian richness through structure retention in managed forests of the Pacific Northwest, USA. For. Ecol. Manage.284:174–184.Lindenmayer, D. B., and J. F.Franklin. 2002. Conserving forest biodiversity: a comprehensive multiscaled approach. Island Press, Washington, DC.Lindenmayer, D. B., and G. E.Likens. 2009. Adaptive monitoring: a new paradigm for long-term research and monitoring. Trends Ecol. Evol.24:482–486.Link, W. A., and R. J.Barker. 2006. Model weights and the foundations of multimodel inference. Ecology87:2626–2635.Lunn, D. J., A.Thomas, N.Best, and D.Spiegelhalter. 2000. WinBUGS - A Bayesian modelling framework: concepts, structure, and extensibility. Stat. Comput.10:325–337.MacKenzie, D. I., J. D.Nichols, G. B.Lachman, S.Droege, J. A.Royle, and C. A.Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology83:2248–2255.MacKenzie, D. I., J. D.Nichols, M. E.Seamans, and R. J.Gutierrez. 2009. Modeling species occurrence dynamics with multiple states and imperfect detection. Ecology90:823–835.Martin, K., K. E. H.Aitken, and K. L.Wiebe. 2004. Nest sites and nest webs for cavity-nesting communities in interior British Columbia, Canada: nest characteristics and niche partitioning. Condor106:5–19.Martin, J., C. L.McIntyre, J. E.Hines, J. D.Nichols, J. A.Schmutz, and M. C.MacCluskie. 2009. Dynamic multistate site occupancy models to evaluate hypotheses relevant to conservation of Golden Eagles in Denali National Park, Alaska. Biol. Conserv.142:2726–2731.Milne, K. A., and S. J.Hejl. 1989. Nest-site characteristics of white-headed woodpeckers. J. Wildl. Manage.53:50–55.Morris, W. K., P. A.Vesk, and M. A.McCarthy. 2013. Profiting from pilot studies: analysing mortality using Bayesian models with informative priors. Basic Appl. Ecol.14:81–89.Morrison, M. L., and M. G.Raphael. 1993. Modeling the dynamics of snags. Ecol. Appl.3:322–330.Neitro, W. A., V. W.Binkley, S. P.Cline, R. W.Mannan, B. G.Marcot, D.Taylor, et al. 1985. Snags (wildlife trees). pp. 129–169inE. R.Brown, ed. Management of wildlife and fish habitats in forests of western Oregon and Washington. U.S. Department of Agriculture, Forest Service, Portland, OR.Newton, I.1994. The role of nest sites in limiting the numbers of hole-nesting birds - a review. Biol. Conserv.70:265–276.Nichols, J. D., J. E.Hines, D. I.MacKenzie, M. E.Seamans, and R. J.Gutierrez. 2007. Occupancy estimation and modeling with multiple states and state uncertainty. Ecology88:1395–1400.Ntzoufras, I.2002. Gibbs variable selection using BUGS. J. Stat. Softw.7:1–19.Plummer, M.2003. JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. Proceedings of the 3rd international workshop on distributed statistical computing. Vienna, Austria.R Core Team. 2015. R: a language environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.Raphael, M. G., and M.White. 1984. Use of snags by cavity-nesting birds in the Sierra Nevada. Wildl. Monogr., 86:1–66.Royle, J. A., and R. M.Dorazio. 2008. Hierarchical modeling and inference in ecology. Academic Press, Boston, USA.Royle, J. A., and M.Kéry. 2007. A Bayesian state-space formulation of dynamic occupancy models. Ecology88:1813–1823.Russell, R. E., V. A.Saab, J. G.Dudley, and J. J.Rotella. 2006. Snag longevity in relation to wildfire and postfire salvage logging. For. Ecol. Manage.232:179–187.Schaub, M., and M.Kery. 2012. Combining information in hierarchical models improves inferences in population ecology and demographic population analyses. Anim. Conserv.15:125–126.Schaub, M., O.Gimenez, A.Sierro, and R.Arlettaz. 2007. Use of integrated modeling to enhance estimates of population dynamics obtained from limited data. Conserv. Biol.21:945–955.Sutherland, C. S., D. A.Elston, and X.Lambin. 2014. A demographic, spatially explicit patch occupancy model of metapopulation dynamics and persistence. Ecology95:3149–3160.Tenan, S., R. B.O'Hara, I.Hendriks, and G.Tavecchia. 2014. Bayesian model selection: the steepest mountain to climb. Ecol. Model.283:62–69.Thomas, J. W., R. G.Anderson, C.Maser, and E. L.Bull. 1979. Snags. pp. 60–77inJ. W.Thomas, ed. Wildlife habitat in managed forests: The Blue Mountains of Oregon and Washington. Agricultural Handbook 553. U.S. Department of Agriculture, Washington, DC.U.S. Forest Service. 2007. Existing Vegetation - CALVEG. Digital map. USDA Forest Service, Pacific Southwest Region, Remote Sensing Lab, McClellan, CA.Wightman, C. S., V. A.Saab, C.Forristal, K.Mellen-McLean, and A.Markus. 2010. White-headed woodpecker nesting ecology after wildfire. J. Wildl. Manage.74:1098–1106.Yoccoz, N. G., J. D.Nichols, and T.Boulinier. 2001. Monitoring of biological diversity in space and time. Trends Ecol. Evol.16:446–453.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Longer documents can take a while to translate. Rather than keep you waiting, we have only translated the first few paragraphs. Click the button below if you want to translate the rest of the document.
Pilot studies are often used to design short-term research projects and long-term ecological monitoring programs, but data are sometimes discarded when they do not match the eventual survey design. Bayesian hierarchical modeling provides a convenient framework for integrating multiple data sources while explicitly separating sample variation into observation and ecological state processes. Such an approach can better estimate state uncertainty and improve inferences from short-term studies in dynamic systems. We used a dynamic multistate occupancy model to estimate the probabilities of occurrence and nesting for white-headed woodpeckers Picoides albolarvatus in recent harvest units within managed forests of northern California, USA. Our objectives were to examine how occupancy states and state transitions were related to forest management practices, and how the probabilities changed over time. Using Gibbs variable selection, we made inferences using multiple model structures and generated model-averaged estimates. Probabilities of white-headed woodpecker occurrence and nesting were high in 2009 and 2010, and the probability that nesting persisted at a site was positively related to the snag density in harvest units. Prior-year nesting resulted in higher probabilities of subsequent occurrence and nesting. We demonstrate the benefit of forest management practices that increase the density of retained snags in harvest units for providing white-headed woodpecker nesting habitat. While including an additional year of data from our pilot study did not drastically alter management recommendations, it changed the interpretation of the mechanism behind the observed dynamics. Bayesian hierarchical modeling has the potential to maximize the utility of studies based on small sample sizes while fully accounting for measurement error and both estimation and model uncertainty, thereby improving the ability of observational data to inform conservation and management strategies.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Longer documents can take a while to translate. Rather than keep you waiting, we have only translated the first few paragraphs. Click the button below if you want to translate the rest of the document.
Details
Title
Improving inferences from short-term ecological studies with Bayesian hierarchical modeling: white-headed woodpeckers in managed forests
Author
Linden, Daniel W 1
; Roloff, Gary J 1
1 Department of Fisheries & Wildlife, Michigan State University, East Lansing, Michigan