Modelling the population dynamics of red deer (Cervus elaphus L.) with regard to forest development

Ecological Modelling

Volumn 108, Issue 1-3, 1998, Pages 145-153

  Stankovski, Vlado ^a,b   Debeljak, Marko ^a   Bratko, Ivan ^a   Adamič, Miha ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b UNIVERSITY MEDICAL CENTRE LJUBLJANA   (Slovenia)

Author keywords

Artificial intelligence; Forest ecosystem; Models; Population dynamics; Red deer; Sustainable management

Indexed keywords

FOREST DEVELOPMENT; MACHINE LEARNING; MODELLING; POPULATION DYNAMICS; RED DEER;

SLOVENIA, NOTRANJSKA;

CERVUS ELAPHUS;

EID: 0032076911     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(98)00025-8     Document Type: Article

References (25)

1. Adamič, M., 1990. Food Habits as an Element of the Management of Ungulate Populations with the Emphasis on the Red Deer (Cervus elaphus L.). Strokovna in znanstvena dela 105. Univerza v Ljubljani, Biotehniška fakulteta in Inštitut za gozdno in lesno gospodarstvo, Ljubljana, 203 pp.
2. Adamič, M., Kotar, M., 1983. Analysis of the body and antler weight dynamics of red and roe deer in Wildlife Reserve "Jelen Snežnik", in the period 1975-1980. Zbornik Gozdarstva Lesarstva 22, 5-78.
3. Bobek, B., Kosobucka, M., 1985. Modelling of the of the Population Dynamics and Structure in Red Deer (Cervus elaphus L.) in South-Eastern Poland. Proceedings 17th Congress IUGB, Brussels, pp. 173-180.
4. Clutton-Brock, T.H., Guinness, F.E., Albon, S.D., 1982a. Red Deer, Behaviour and Ecology of Two Sexes. Edinburgh University Press, Edinburgh, 378 pp.
5. Clutton-Brock, T.H., Iason, G.R., Albon, S.D., Guiness, F.E., 1982b. Effects of lactation on feeding behaviour and habitat use in wild red deer hinds. J. Zool. 198, 227-236.
6. Grier, J.W., 1980. Modeling approaches to bald eagle population dynamics. Wildl. Soc. Bull. 8(4), 222-316.
7. Karalič, A., 1992. Employing Linear Regression in Regression Tree Leaves. In: Neumann, B. (Ed.), Proceedings 10th European Conference on Artificial Intelligence. Wiley, Wienna, pp. 410-411.
8. Kompare, B., Bratko, I., Steinman, F., Dzeroski, S., 1994. Using learning techniques in the construction of models. Part I: Introduction. Ecol. Modelling 75/76, 617-628.
9. Kompare, B., Dzeroski, S., 1995. Getting More Out of Data: Automated Modelling of Algal Growing with Machine Learning. Proceedings COSU '95. Coastal Ocean Space Utilization, Yokohama, pp. 209-220.
10. Kraus, P., 1985. Vegetationsbeeinflussung, Schälschädenintensität, Wildbretgewichte als Indikatoren der relativen Rotwilddichte. Proceedings 17th Congress IUGB, Brussels, pp. 967-978.
11. Kraus, P., 1987. Vegetationsbeeinflussung als indikator der relativen rotwilddichte. Z. Jagdwissenschaft 33, 42-59.
12. Mlinšek, D., 1991. Successes and unsuccesses of Slovenian forestry. In: Mlinšek, D. (Ed.), O Gozdu in Gozdarstvu Slovenije. Aram, Maribor, pp. 23-25.
13. Mlinšek, D., 1975. Tending of Woods. In: Remic, C. (Ed.), The Forests of Slovenia (Summary). Borec, Ljubljana, pp. 5-6.
14. Niblet, T., Bratko, I., 1986. Learning decision rules in noisy domains. In: Brammer, M.A. (Ed.), Proceedings of Expert Systems 86 Conference, Cambridge University Press, Brighton.
15. Perko, F., 1982. Methods and First Findings on Quantification of Wildlife Influence upon Forest Vegetation. In: Accetto, M. (Ed.), Zbornik gozdarskih študijskih dnevov Gozd-divjad, Univerza v Ljubljani, Oddelek za gozdarstvo BF, Ljubljana, pp. 121-160.
16. Potts, G.R., Aebischer, N.J., 1991. Modelling the population dynamics of the Gray Partridge: conservation and management. In: Perrins, C.M., Leberton, J.D., Hirons, G.J.M. (Eds.), Bird Population Studies: Relevance to Conservation and Management. Oxford University Press, Oxford, pp. 373-390.
17. Ryg, M., Langvatn, R., 1982. Seasonal changes in weight gain, growth hormone and thyroid hormones in male red deer (Cervus elaphus atlanticus). Can. J. Zool. 60, 2577-2581.
18. Saether, B.E., 1985. Annual variation in carcass weight of Norwegian moose in relation to climate along the latitudinal gradient. J. Wildlife Manage. 49, 977-983.
19. Schwartz, C.C., Hubbert, M.E., Franzmann, A.W., 1991. Energy expenditure in moose calves. J. Wildlife Manage. 55, 391-393.
20. Simonič, A., 1982. Control Method as the Tool in Wildlife Management.In: Accetto, M. (Ed.), Zbornik gozdarskih študijskih dnevov Gozd-divjad, Univerza v Ljubljani, Oddelek za gozdarstvo BF, Ljubljana, pp. 161-213.
21. Stankovski, V., Fefer, D., 1995. Prediction and system identification supported by measures of chaos. In: Keating, J.G. (Ed.), Neural Computing, Research and Applications III. St. Patrick's College, Maynooth, pp. 70-75.
22. Štrumbelj, C., Kotar, M., 1974. The contribution to the morphometry of red deer (Cervus elaphus L.) from Slovenian Dinaric High Karst. Zbornik Biotehniške fakultete Veterina 11 (1-2), 69-90.
23. Tarman, K., 1992. Basics of Ecology and Ecology of Animals. Državna založba Slovenije, Ljubljana, p. 13.
24. The Forest Development Programme of Slovenia, 1996. Republic of Slovenia, Ministry of Agriculture, Forestry and Food, Ljubljana, pp. 3-4, p. 17.
25. Udovič, M., 1995. Analysis of the Browsing Intensity Upon Young Forest Trees in the Forests of Notranjsko. Pregled Gojitve in Odstrela Jelenjadi v Lovskem Letu 1994, Katalog, Snežnik, 11 pp.