Population control based on abundance estimates: Frequency does not compensate for uncertainty

Aanes, 2002, Sustainable harvesting strategies of Willow ptarmigan in a fluctuating environment, Ecol. Appl. Am. Publ. Ecol. Soc. Am., 12, 281 Abrams, 2009, When does greater mortality increase population size? The long history and diverse mechanisms underlying the hydra effect, Ecol. Lett., 12, 462, 10.1111/j.1461-0248.2009.01282.x Andersen, 1953, Analysis of a Danish roe-deer population Capreolus capreolus (L.) based upon the extermination of the total stock, Danish Rev. Game Biol., 2, 127 Apollonio, 2010, Introduction, 1 Apollonio, 2010, Present status and future challenges for European ungulate management, 578 Blanchard, 2007, Power of monitoring surveys to detect abundance trends in depleted populations: the effects of density-dependent habitat use, patchiness, and climate change, ICES J. Mar. Sci., 65, 111, 10.1093/icesjms/fsm182 Bonenfant, 2009, Chapter 5: Empirical evidence of density-dependence in populations of large herbivores, Adv. Ecol. Res., 41, 313, 10.1016/S0065-2504(09)00405-X Borkowski, 2011, Drive counts as a method of estimating ungulate density in forests: mission impossible?, Acta Theriol. (Warsz.), 56, 239, 10.1007/s13364-010-0023-8 Buckland, 2004, State-space models for the dynamics of wild animal populations, Ecol. Modell., 171, 157, 10.1016/j.ecolmodel.2003.08.002 Bunnefeld, 2011, Management strategy evaluation: a powerful tool for conservation?, Trends Ecol. Evol., 26, 441, 10.1016/j.tree.2011.05.003 Caughley, 1994, Directions in conservation biology, J. Anim. Ecol., 63, 215, 10.2307/5542 Coulson, 2008, Estimating the functional form for the density dependence from life history data, Ecology, 89, 1661, 10.1890/07-1099.1 Curtis, 2009, Estimating deer abundance in suburban areas with infrared-triggered cameras, Human–Wildl. Confl., 3, 116 Ebert, 2012, Non-invasive genetic approaches for estimation of ungulate population size: a study on roe deer (Capreolus capreolus) based on faeces, Anim. Biodivers. Conserv., 35, 267, 10.32800/abc.2012.35.0267 Eiberle, 1972, Rehwildhege und Straßenverkehr, Schweiz. Z. Forstwes., 123, 201 Elkinton, 2000, Detecting stability and causes of changes in population density, 213 Flajšman, 2013, Razmnoževalni potencial evropske srne (Capreolus capreolus L.): Pregled Najpomembnejših vplivnih Dejavnikov, Acta Silvae Ligni, 102, 1, 10.20315/ASetL.102.1 Gaillard, 1997, Early survival in roe deer: causes and consequences of cohort variation in two contrasted populations, 112, 502 Gaillard, 1992, Effects of age and body weight on the proportion of females breeding in a population of roe deer (Capreolus capreolus), Can. J. Zool., 70, 1541, 10.1139/z92-212 Garel, 2010, Are abundance indices derived from spotlight counts reliable to monitor red deer Cervus elaphus populations?, Wildl. Biol., 16, 77, 10.2981/09-022 Hagen, 2014, Synchrony in hunting bags: reaction on climatic and human induced changes?, Sci. Total Environ., 468–469, 140, 10.1016/j.scitotenv.2013.08.022 Heinze, 2011, Habitat use of large ungulates in northeastern Germany in relation to forest management, For. Ecol. Manage., 261, 288, 10.1016/j.foreco.2010.10.022 Heurich, 2012, Survival and causes of death of European Roe Deer before and after Eurasian Lynx reintroduction in the Bavarian Forest National Park, Eur. J. Wildl. Res., 58, 567, 10.1007/s10344-011-0606-y Hewison, 1999, Contradictory findings in studies of sex ratio variation in roe deer (Capreolus capreolus), Behav. Ecol. Sociobiol., 45, 339, 10.1007/s002650050569 Hewison, 2007, Using radio-tracking and direct observation to estimate roe deer Capreolus capreolus density in a fragmented landscape: a pilot study, Wildl. Biol., 13, 313, 10.2981/0909-6396(2007)13[313:URADOT]2.0.CO;2 Hilker, 2013, Harvesting, census timing and “hidden” hydra effects, Ecol. Complex., 14, 95, 10.1016/j.ecocom.2013.02.002 Hudson, 2013, Assessment of uncertainty in emergy evaluations using Monte Carlo simulations, Ecol. Modell. Humbert, 2009, A better way to estimate population trends, Oikos, 118, 1940, 10.1111/j.1600-0706.2009.17839.x Jędrzejewska, 1997, Factors shaping population densities and increase rates of ungulates in Białowieża Primeval Forest (Poland and Belarus) in the 19th and 20th centuries, Acta Theriol., 42, 399, 10.4098/AT.arch.97-39 Keith, 2011, Uncertainty and adaptive management for biodiversity conservation, Biol. Conserv., 144, 1175, 10.1016/j.biocon.2010.11.022 Kuijper, 2011, Lack of natural control mechanisms increases wildlife–forestry conflict in managed temperate European forest systems, Eur. J. For. Res., 130, 895, 10.1007/s10342-011-0523-3 McCarthy, 2007, Active adaptive management for conservation, Conserv. Biol., 21, 956, 10.1111/j.1523-1739.2007.00677.x Melis, 2009, Predation has a greater impact in less productive environments: variation in roe deer, Capreolus capreolus, population density across Europe, Glob. Ecol. Biogeogr., 18, 724, 10.1111/j.1466-8238.2009.00480.x Milner, 2010, Hunting Bambi—evaluating the basis for selective harvesting of juveniles, Eur. J. Wildl. Res., 57, 565, 10.1007/s10344-010-0466-x Milner-Gulland, 2004, Sex differences and data quality as determinants of income from hunting red deer Cervus elaphus, Wildl. Biol., 10, 187, 10.2981/wlb.2004.025 Morellet, 2007, Indicators of ecological change: new tools for managing populations of large herbivores, J. Appl. Ecol., 44, 634, 10.1111/j.1365-2664.2007.01307.x Nuno, 2013, Matching observations and reality: using simulation models to improve monitoring under uncertainty in the Serengeti, J. Appl. Ecol., 50, 488, 10.1111/1365-2664.12051 Owen-Smith, 2010, Definitive case studies, 1 Pegel, 2000, Rehwildprojekt Borgerhau, Untersuchungen zur Ökologie einer freilebenden Rehwildpopulation, Schriftenr. Wildforsch. (Baden-württemb.), 5, 1 Possingham, 2001, Making smart conservation decisions, 225 Radeloff, 1999, Habitat and population modelling of roe deer using an interactive geographic information system, Ecol. Modell., 114, 287, 10.1016/S0304-3800(98)00164-1 Rutberg, 2008, Population-level effects of immunocontraception in white-tailed deer (Odocoileus virginianus), Wildl. Res., 35, 494, 10.1071/WR07128 Sandercock, 2011, Is hunting mortality additive or compensatory to natural mortality? Effects of experimental harvest on the survival and cause-specific mortality of willow ptarmigan, J. Anim. Ecol., 80, 244, 10.1111/j.1365-2656.2010.01769.x Simard, 2013, Is hunting an effective tool to control overabundant deer? A test using an experimental approach, J. Wildl. Manage., 77, 254, 10.1002/jwmg.477 Smart, 2004, Monitoring woodland deer populations in the UK: an imprecise science, Mamm. Rev., 34, 99, 10.1046/j.0305-1838.2003.00026.x Smith, 2008, Managing wildlife populations with uncertainty: cormorants Phalacrocorax carbo, J. Appl. Ecol., 45, 1675, 10.1111/j.1365-2664.2008.01380.x Stokes, 2012, Population ecology at work:managing game populations, Nat. Educ., 3, 5 Stubbe, 1963, Schalenwildverluste im Winter 1962–63, Ztg. Jagdwiss., 7, 171 Tremblay, 2004, Choice and development of decision support tools for the sustainable management of deer–forest systems, For. Ecol. Manage., 191, 1, 10.1016/j.foreco.2003.11.009 Turchin, 2003 Ueno, 2010, Culling versus density effects in management of a deer population, J. Wildl. Manage., 74, 1472, 10.1111/j.1937-2817.2010.tb01274.x Vreugdenhil, 2007, Existing theories do not explain sex ratio variation at birth in monomorphic roe deer (Capreolus capreolus), Integr. Zool., 2, 10, 10.1111/j.1749-4877.2007.00042.x Weinbaum, 2013, Searching for sustainability: are assessments of wildlife harvests behind the times?, Ecol. Lett., 16, 99, 10.1111/ele.12008 Yokomizo, 2014, Decision science for effective management of populations subject to stochasticity and imperfect knowledge, Popul. Ecol., 56, 41, 10.1007/s10144-013-0421-2