Vantage point counts and monitoring roe deer

作者: Marco Zaccaroni , Filippo Dell'Agnello , Giulia Ponti , Francesco Riga , Chiara Vescovini

DOI: 10.1002/JWMG.21385

关键词:

摘要: Vantage point counts (VPCs) are adopted to estimate the densities of roe deer (Capreolus capreolus) populations for harvest management. Thus, should be performed only within blocks without woodlands where it is possible relate block sizes. Alternatively, if VPCs simply carried out on all in a study region, expectations total could used as relative abundance indices. In most cases, surveying too demanding because number observers required, time, and organization. Therefore, portion blocks, indices estimated from these counts. If selected by means probabilistic sampling schemes, then statistically sound estimators count can adopted. estimation errors, construction confidence intervals, assessment change possible, together with post hoc power analysis evaluating probability failing detect expectations. Our objective this consider strategies that allow performance statistical steps check hunting district located Tuscany, Italy, which were surveyed 2013 2014. The results provide evidence imprecision estimators. Even large fractions 40–50%, standard errors never decreased below 20%, corresponding powers detecting 30% at level α=0.05 <0.65. highlight need efficient robust alternative strategies. © 2017 Wildlife Society.

参考文章(16)
Nicola Gilio, Alberto Meriggi, Paolo Lamberti, Francesca Sotti, A REVIEW OF THE METHODS FOR MONITORING ROE DEER EUROPEAN POPULATIONS WITH PARTICULAR REFERENCE TO ITALY Hystrix-italian Journal of Mammalogy. ,vol. 19, pp. 103- 120 ,(2009) , 10.4404/HYSTRIX-19.2-4421
Ungulate management in Europe: problems and practices. Ungulate management in Europe: problems and practices.. ,(2011) , 10.1017/CBO9780511974137
Anton Grafström, Yves Tillé, Doubly balanced spatial sampling with spreading and restitution of auxiliary totals Environmetrics. ,vol. 24, pp. 120- 131 ,(2013) , 10.1002/ENV.2194
David C. Bowden, Roland C. Kufeld, Generalized mark-sight population size estimation applied to Colorado moose Journal of Wildlife Management. ,vol. 59, pp. 840- 851 ,(1995) , 10.2307/3801965
Sonja Vospernik, Susanne Reimoser, Modelling changes in roe deer habitat in response to forest management Forest Ecology and Management. ,vol. 255, pp. 530- 545 ,(2008) , 10.1016/J.FORECO.2007.09.036
L. FATTORINI, M. MARCHESELLI, A. MONACO, C. PISANI, A critical look at some widely used estimators in mark-resighting experiments. Journal of Animal Ecology. ,vol. 76, pp. 957- 965 ,(2007) , 10.1111/J.1365-2656.2007.01275.X
Volker C. Radeloff, Anna M. Pidgeon, Patrick Hostert, Habitat and population modelling of roe deer using an interactive geographic information system Ecological Modelling. ,vol. 114, pp. 287- 304 ,(1999) , 10.1016/S0304-3800(98)00164-1
Anton Grafström, Spatially correlated Poisson sampling Journal of Statistical Planning and Inference. ,vol. 142, pp. 139- 147 ,(2012) , 10.1016/J.JSPI.2011.07.003
Don L Stevens, Anthony R Olsen, Spatially Balanced Sampling of Natural Resources Journal of the American Statistical Association. ,vol. 99, pp. 262- 278 ,(2004) , 10.1198/016214504000000250
R.M.A. Gill, A.L. Johnson, A. Francis, K. Hiscocks, A.J. Peace, Changes in roe deer (Capreolus capreolus L.) population density in response to forest habitat succession Forest Ecology and Management. ,vol. 88, pp. 31- 41 ,(1996) , 10.1016/S0378-1127(96)03807-8