Henrich, Maik, Kühl, Hjalmar und Heurich, Marco (AFZ-DerWald 21/2022)

27. Dezember 2022
Literaturhinweise aus „Reh- und Rotwildbestände mit Fotofallen bestimmen“ von Maik Henrich, Hjalmar Kühl und Marco Heurich (AFZ-DerWald 21/2022):

[1] ANDERSEN, J. (1953): Analysis of a Danish roe deer population (Capreolus capreolus (L.)) based upon the extermination of the total stock,. Danish Rev. Game Biol. 2,127–155. [2] VAN BEECK CALKOEN, S.T.S; LEIGH-MOY, K.; CROMSIGT, J. P. G. M.; SPONG, G.; LEBEAU, L.C.; HEURICH, M. (2019): The blame game: Using eDNA to identify species-specific tree browsing by red deer (Cervus elaphus) and roe deer (Capreolus capreolus) in a temperate forest. For. Ecol.Manag., 451, 117483. doi: 10.1016/j.foreco.2019.117483[3] BUCKLAND, S. T. (2001): Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford University Press, Oxford, New York. [4] CAGNACCI, F.; FOCARDI, S.; HEURICH, M.;, STACHE, A.; HEWISON, A. J. M.; MORELLET, N.; KJELLANDER, P.; LINNELL, J.D.C.; MYSTERUD, A.; NETELER, M.; DELUCCHI, L.; OSSI, F.; URBANO, F. (2011): Partial migration in roe deer: migratory and resident tactics are end points of a behavioural gradient determined by ecological factors. Oikos, 120, 1790–1802. doi: 10.1111/j.1600-0706.2011.19441.x. [5] DUPKE, C.; BONENFANT, C.; REINEKING, B.; HABLE, R.; ZEPPENFELD, T.; EWALD, M.; HEURICH, M. (2017): Habitat selection by a large herbivore at multiple spatial and temporal scales is primarily governed by food resources. Ecography, 40, 1014–1027. doi: 10.1111/ecog.02152. [6] HAUCKE, T.; KÜHL, H. S.; HOYER, J.; STEINHAGE, V. (2022): Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps. Ecol. Inform., 68, 101536. doi: 10.1016/j.ecoinf.2021.101536. [7] HENRICH, M.; NIEDERLECHNER, S.; KRÖSCHEL, M.; THOMA, S.; DORMANN, C. F.; HARTIG, F.; HEURICH, M (2020): The influence of camera trap flash type on the behavioural reactions and trapping rates of red deer and roe deer. Remote Sens. Ecol. Conserv., 86,399–410. doi: 10.1002/rse2.150. [8] HEURICH, M.; BAIERL, F.; GÜNTHER, S.; SINNER, K. F. (2011): Management and conservation of large mammals in the Bavarian Forest National Park. Silva gabreta, 17, 1–18. [9] HOWE, E. J.; BUCKLAND, S. T.; DESPRÉS‐EINSPENNER, M.; KÜHL, H. S. (2017): Distance sampling with camera traps. Methods Ecol. Evol., 8, 1558–1565. doi: 10.1111/2041-210X.12790. [10] NOROUZZADEH, M. S.; NGUYEN, A.; KOSMALA, M.; SWANSON, A.; PALMER, M. S.; PACKER, C.; CLUNE, J. (2018): Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. P. Natl. Acad. Sci. USA, 115, E5716–E5725. doi: 10.1073/pnas.1719367115. [11] PALENCIA, P.; BARROSO, P.; VICENTE, J.; HOFMEESTER, T.R.; FERRERES, J.; ACEVEDO, P. (2022): Random encounter model is a reliable method for estimating population density of multiple species using camera traps. Remote Sens. Ecol. Conserv., rse2.269. doi: 10.1002/rse2.269. [12] PALENCIA, P.; ROWCLIFFE, J.M.; VICENTE, J.; ACEVEDO, P. (2021): Assessing the camera trap methodologies used to estimate density of unmarked populations. J. Appl. Ecol., 58,1583–1592. doi: 10.1111/1365-2664.13913. [13] PALMERO, S.; BELOTTI, E.; BUFKA, L.; GAHBAUER, M.; HEIBL, C.; PREMIER, J.; WEINGARTH-DACHS, K.; HEURICH, M. (2021): Demography of a Eurasian lynx (Lynx lynx) population within a strictly protected area in Central Europe. Sci. Rep., 11, 19868. doi: 10.1038/s41598-021-99337-2. [14] RIVRUD, I.M.; HEURICH, M.; KRUPCZYNSKI, P.; MÜLLER, J.; MYSTERUD, A. (2016): Green wave tracking by large herbivores: an experimental approach. Ecology, 97, 3547–3553. doi: 10.1002/ecy.1596. [15] ROWCLIFFE, J. M.; KAYS, R.; KRANSTAUBER, B.; CARBONE, C.; JANSEN, P. A. (2014): Quantifying levels of animal activity using camera trap data. Methods Ecol. Evol., 5, 1170–1179. doi: 10.1111/2041-210X.12278. [16] SILVEIRA, L.; JÁCOMO, A. T. A.; DINIZ-FILHO, J. A. F. (2003): Camera trap, line transect census and track surveys: A comparative evaluation. Biol. Conserv., 114, 351–355. doi: 10.1016/S0006-3207(03)00063-6. [17] STORMS, D.; AUBRY, P.; HAMANN, J.-L.; SAÏD, S.; FRITZ, H.; SAINT-ANDRIEUX, C.; KLEIN, F. (2008): Seasonal variation in diet composition and similarity of sympatric red deer Cervus elaphus and roe deer Capreolus capreolus. Wildlife Biol., 14, 237–250. doi: 10.2981/0909-6396(2008)14[237:SVIDCA]2.0.CO;2. [18] TIXIER, H.; DUNCAN, P. (1996): Are European roe deer browsers ? A review of variations in the composition of their diets. Revue d’Ecologie, Terre et Vie, Société nationale de protection de la nature, 51,3–17. [19] TOURANI, M.; FRANKE, F.; HEURICH, M.; HENRICH, M.; PETERKA, T.; EBERT, C.; OESER, J.; EDELHOFF, H.; MILLERET, C.; DUPONT, P.; BISCHOF, R.; PETERS, W. (2022): Spatial variation in red deer density in relation to forest disturbance and ungulate management in a transboundary forest ecosystem. Ecology, im Druck.  [20] WEARN, O. R.; GLOVER-KAPFER, P. (2017): Camera-trapping for conservation: a guide to best-practices. WWF Conservation Technology Series 1, 1.