Optimal sampling design to survey riparian bird populations with low detection probability

References

• Aierbe, T., Olano, M. & Vázquez, J. 2001. Atlas de las aves nidificantes de Gipuzkoa. Munibe 52: 5–138 (Suppl).
   Google Scholar
• Bibby, C.J., Burgess, N., Hill, D.A. & Mustoe, S.H. 2000. Bird Census Techniques. Academic Press, London.
   Google Scholar
• Brewer, K.R.W. & Hanif, M. 1983. Sampling with Unequal Probabilities. Lecture Notes in Statistics. Springer-Verlag, New York.
   Google Scholar
• Brown, J.A., Robertson, B.L. & McDonald, T. 2015. Spatially balanced sampling: application to environmental surveys. Proc. Environ. Sci. 27: 6–9. doi: 10.1016/j.proenv.2015.07.108
   Google Scholar
• Burnham, K.P. & Anderson, D.R. 1998. Model Selection and Inference. A Practical Information Theoretic Approach. Springer-Verlag, New York.
   Google Scholar
• Charbonnel, A., Buisson, L., Biffi, M., D’Amico, F., Besnard, A., Aulagnier, S., Blanc, F., Gillet, F., Lacaze, V., Michaux, J.R., Némoz, M., Pagé, C., Sanchez-Perez, J.M., Sauvage, S. & Laffaille, P. 2015. Integrating hydrological features and genetically validated occurrence data in occupancy modeling of an endemic and endangered semi-aquatic mammal, Galemys pyrenaicus, in a Pyrenean catchment. Biol. Conserv. 184: 182–192. doi: 10.1016/j.biocon.2015.01.019
   Web of Science ®Google Scholar
• Charbonnel, A., D'Amico, F., Besnard, A., Blanc, F., Buisson, L., Némoz, M. & Laffaille, P. 2014. Spatial replicates as an alternative to temporal replicates for occupancy modelling when surveys are based on linear features of the landscape. J. Appl. Ecol. 51: 1425–1433. doi: 10.1111/1365-2664.12301
   Web of Science ®Google Scholar
• D'Amico, F. & Hemery, G. 2003. Calculating census efficiency for river birds: a case study with the White-throated Dipper cinclus cinclus in the Pyrenees. Ibis 145: 83–86. doi: 10.1046/j.1474-919X.2003.00108.x
   Web of Science ®Google Scholar
• Devictor, V., Whittaker, R.J. & Beltrame, C. 2010. Beyond scarcity: citizen science programmes as useful tools for conservation biogeography. Divers. Distrib. 16: 354–362. doi: 10.1111/j.1472-4642.2009.00615.x
   Web of Science ®Google Scholar
• Fiske, I. & Chandler, R. 2011. Unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance. 43:23.
   Google Scholar
• Fletcher, R.J. & Hutto, R.L. 2006. Estimating detection probablities of river birds using double surveys. Auk 123: 695–707. doi: 10.1093/auk/123.3.695
   Web of Science ®Google Scholar
• Guillera-Arroita, G. & Lahoz-Monfort, J.J. 2012. Designing studies to detect differences in species occupancy: power analysis under imperfect detection. Methods in Ecology and Evolution 3: 860–869. doi: 10.1111/j.2041-210X.2012.00225.x
   Web of Science ®Google Scholar
• Guillera-Arroita, G., Ridout, M.S. & Morgan, B.J.T. 2010. Design of occupancy studies with imperfect detection. Methods in Ecology and Evolution 1: 131–139. doi: 10.1111/j.2041-210X.2010.00017.x
   Web of Science ®Google Scholar
• Jiguet, F., Devictor, V., Julliard, R. & Couvet, D. 2012. French citizens monitoring ordinary birds provide tools for conservation and ecological sciences. Acta Oecol. 44: 58–66. doi: 10.1016/j.actao.2011.05.003
   Web of Science ®Google Scholar
• Kermorvant, C., Caill-Milly, N., Bru, N. & D’Amico, F. 2019a. Optimizing cost-efficiency of long term monitoring programs by using spatially balanced sampling designs: The case of Manila clams in Arcachon bay. Ecol. Inform. 49: 32–39. doi:10.1016/j.ecoinf.2018.11 doi: 10.1016/j.ecoinf.2018.11.005
   Web of Science ®Google Scholar
• Kermorvant, C., Coube, S., D'Amico, F., Bru, N. & Caill-Milly, N. 2020. Sequential process to choose efficient sampling design based on partial prior information data and simulations. Spatial Statistics 38: 100439. doi:10.1016/j.spasta.2020.100439.
   Web of Science ®Google Scholar
• Kermorvant, C., D’Amico, F., Bru, N., Caill-Milly, N. & Robertson, B. 2019b. Spatially balanced sampling designs for environmental surveys. Environ. Monit. Assess. 191 (8): 524. doi:10.1007/s10661-019-7666-y.005 doi: 10.1007/s10661-019-7666-y
   PubMed Web of Science ®Google Scholar
• Kincaid, T.M. & Olsen, A.R. 2019. Spsurvey: spatial survey design and analysis. R Package Version 4.0.0.
   Google Scholar
• Legg, C.J. & Nagy, L. 2006. Why most conservation monitoring is, but need not be, a waste of time. J. Environ. Manag. 78: 194–199. doi: 10.1016/j.jenvman.2005.04.016
   PubMed Web of Science ®Google Scholar
• Lindenmayer, D.B. & Likens, G.E. 2010. The science and application of ecological monitoring. Biol. Conserv. 143: 1317–1328. doi: 10.1016/j.biocon.2010.02.013
   Web of Science ®Google Scholar
• MacKenzie, D.I., Nichols, J.D., Hines, J.E., Knutson, M.G. & Franklin, A.B. 2003a. Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly. Ecology 84: 2200–2207. doi: 10.1890/02-3090
   Web of Science ®Google Scholar
• MacKenzie, D.I., Nichols, J.D., Hines, J.E., Knutson, M.G. & Franklin, A.B. 2003b. Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly. Ecology 84: 2200–2207. doi: 10.1890/02-3090
   Web of Science ®Google Scholar
• Mackenzie, D.I. & Royle, J.A. 2005. Designing occupancy studies: general advice and allocating survey effort. J. Appl. Ecol. 42: 1105–1114. doi: 10.1111/j.1365-2664.2005.01098.x
   Web of Science ®Google Scholar
• McKann, P.C., Gray, B.R. & Thogmartin, W.E. 2013. Small sample bias in dynamic occupancy models. J. Wildl. Manage. 77: 172–180. doi: 10.1002/jwmg.433
   Web of Science ®Google Scholar
• Munne, A., Prat, N., Sola, C., Bonada, N. & Rieradevall, R. 2003. A simple field method for assessing the ecological quality of riparian habitat in rivers ans streams: QBR index. Aquatic Conservation: Marine and Freshwater Ecosystems 13: 147–163. doi: 10.1002/aqc.529
   Web of Science ®Google Scholar
• Ormerod, S.J., Allinson, N., Hudson, D. & Tyler, S.J. 1986. The distribution of breeding dippers (Cinclus cinclus (L), Aves) in relation to stream acidity in upland Wales. Freshw. Biol. 16: 501–507. doi: 10.1111/j.1365-2427.1986.tb00993.x
   Web of Science ®Google Scholar
• Peris, S.J., González-Sánchez, N., Carnero, J.I., Velasco, J.C. & Masa, A.I. 1991. Algunos factores que inciden en la densidad y poblacióon del mirlo acuático (Cinclus cinclus) en el centro-occidente de la Península Ibérica. Ardeola 38: 11–20.
   Google Scholar
• Schmidt, J.H., McIntyre, C.L. & MacCluskie, M.C. 2013. Accounting for incomplete detection: what are we estimating and how might it affect long-term passerine monitoring programs? Biol. Conserv. 160: 130–139. doi: 10.1016/j.biocon.2013.01.007
   Web of Science ®Google Scholar
• Sewell, D., Guillera-Arroita, G., Griffiths, R.A. & Beebee, T.J.C. 2012. When is a species declining? Optimizing survey effort to detect population changes in reptiles. Plos One 7: e43387. doi: 10.1371/journal.pone.0043387
   PubMed Web of Science ®Google Scholar
• Smith, A.N.H., Anderson, M.J. & Pawley, M.D.M. 2017. Could ecologists be more random? straightforward alternatives to haphazard spatial sampling. Ecography 40: 1251–1255. doi: 10.1111/ecog.02821
   Web of Science ®Google Scholar
• Stevens, D.L. Jr.& Olsen, A.R. 2004. Spatially-balanced sampling of natural resources. Journal of American Statistical Association 99: 262–278. doi: 10.1198/016214504000000250
   Web of Science ®Google Scholar
• Tucker, G.M. & Heath, M.F. 2004. Birds in Europe: Population Estimates, Trends and Conservation Status. BirdLife International, Cambridge.
   Google Scholar
• Tyler, S.J. & Ormerod, S.J. 1994. The Dippers. T & A. D. Poyser, London.
   Google Scholar
• Vaughan, I.P., Noble, D.G. & Ormerod, S.J. 2007. Combining surveys of river habitats and river birds to appraise riverine hydromorphology. Freshw. Biol. 52: 2270–2284. doi: 10.1111/j.1365-2427.2007.01837.x
   Web of Science ®Google Scholar
• Wang, J.-F., Stein, A., Gao, B.-B. & Ge, Y. 2012. A review of spatial sampling. Spat. Stat. 2: 1–14. doi: 10.1016/j.spasta.2012.08.001
   Web of Science ®Google Scholar