1.Aertsen, W., Kint, V., Van Orshoven, J., Özkan, K., and Muys, B. 2010. Comparison and
ranking of different modelling techniques for prediction of site index in Mediterranean
mountain forests. Ecological modelling, 221(8): 1119-1130.
2.Ahmadi, K., Alavi, S.J., and Tabari, M. 2015. Evaluation of Oriental Beech (Fagus orientalis
Lipsky.) Site Productivity using Generalized Additive Model (Case study: Tarbiat Modares
University forest research station). Journal of Iranian Forest, 7(1): 17-32. (In Persian)
3.Alavi, S.J., Zahedi Amiri, Gh., Marvi Mohajer, M.R., and Noori, Z. 2007. Spatial distribution
of Ulmus glabra Huds. tree species related to physiographic factors in Kheyroodkenar
educational forest. Journal of Environmental Studies, 33(43): 93-100. (In Persian)
4.Ardakani, M.R. 2012. Ecology, Tehran University. Press, 340p. (In Persian)
5.Aspinall, R.J. 2002. Use of logistic regression for validation of maps of the spatial distribution
of vegetation species derived from high spatial resolution hyperspectral remotely sensed
data. Ecological Modelling, 157(2): 301-312.
6.Auslander, M., Nevo, E., and Inbar, M. 2003. The effects of slope orientation on plant growth,
developmental instability and susceptibility to herbivores. Journal of Arid Environments,
55(3): 405-416.
7.Austin, M. 2007. Species distribution models and ecological theory: a critical assessment and
some possible new approaches. Ecological modelling, 200(1): 1-19.
8.Beauregard, F., and de Blois, S. 2014. Beyond a climate-centric view of plant distribution:
edaphic variables add value to distribution Models. PloS one, 9(3): e92642.
9.Bolandian, H. 1999. Knowing the forest. Imam Khomeini International University Press.
245p. (In Persian)
1- Machine Learning
10.Bourque, C.P.A., and Bayat, M. 2015. Landscape Variation in Tree Species Richness in
Northern Iran Forests. PloS one, 10(4): 121-172.
11.Dormann, C.F., Schymanski, S.J., Cabral, J., Chuine, I., Graham, C., Hartig, F., and Singer,
A. 2012. Correlation and process in species distribution models: bridging a dichotomy.
Journal of Biogeography, 39(12): 2119-2131.
12.Fahimipoor, A., Zarechahooki, M.A., and Tavili, A. 2010. The relationship between some
indicator species for environmental Pasture. Journal of Rangeland, 4(1): 23-32. (In Persian)
13.Ghahraman, A. 2009. Biodiversity of plant species in Iran, Tehran University. Press, 1210p.
(In Persian)
14.Ghanbari, F., Shataei Jooibari, Sh., Azim Mohseni, M., Habashi, H. 2011. Application of
topography and logistic regression in forest type spatial prediction Iranian Journal of Forest
and Poplar Research, 19(1): 27-41. (In Persian)
15.Harrar, Ellwood S., and Harrar, J.G. 1962. Guide to southern trees. 2d ed. Dover, New York.
709p.
16.Hastie, T., and Tibshirani, R. 1986. Generalized additive models. Statistical science. 297-
310.
17.Matusick, G., Ruthrof, K.X., Brouwers, N.C., and Hardy, G.S.J. 2014. Topography
influences the distribution of autumn frost damage on trees in a Mediterranean-type
Eucalyptus forest. Trees, 28(5): 1449-1462.
18.Hill, M.J., Mathers, K.L., and Wood, P.J. 2015. The aquatic macroinvertebrate biodiversity
of urban ponds in a medium-sized European town (Loughborough, UK). Hydrobiologia 760:
225–238.
19.Myers, N., Mittermeier, R.A., Mittermeier, C.G., Da Fonseca, G.A., and Kent, J. 2000.
Biodiversity hotspots for conservation priorities. Nature, 403(6772): 853-858.
20.Pfiffer, K. 1996. Schwizerisher forestkalender. Anhang. Zurich. Verlag Frauenfeld. 176p.
21.Piedallu, C., Gégout, J.C., Lebourgeois, F., and Seynave, I. 2016. Soil aeration, water deficit,
nitrogen availability, acidity and temperature all contribute to shaping tree species
distribution in temperate forests. Journal of Vegetation Science, 27(2): 387-399.
22.Rahmani, A., Dehghani Shooraki, Y., Banch Shafie, Sh. 2009. Nutritional Status of elm
(Ulmus glabra Huds) trees in National Botanical Garden of Iran. Iranian Journal of Forest
and Poplar Research, 17(1): 99-106. (In Persian)
23.Rossier, L. 2011. Predicting spatial patterns of functional traits. M.Sc. Thesis. University of
Lausanne, 44p.
24.Rovzar, C., Gillespie, T.W., Kawelo, K., McCain, M., Riordan, E.C., and Pau, S. 2012.
Modelling the potential distribution of endangered, endemic Hibiscus brackenridgei on Oahu
to assess the impacts of climate change and prioritize conservation efforts. Pacific
Conservation Biology, 19(2): 156-168.
25.R Core Team (2016). R: A language and environment for statistical computing. R
Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
26.Sousa-Silva, R., Alves, P., Honrado, J., and Lomba, A. 2014. Improving the assessment and
reporting on rare and endangered species through species distribution models. Global
Ecology and Conservation, 2: 226-237.
27.Vedel, H., and Lange, J. 1960. Trees and bushes in wood and hedgerow. Methuen and Co.
Ltd. Press. 224p.
28.Virkkala, R., Marmion, M., Heikkinen, R.K., Thuiller, W., and Luoto, M. 2010. Predicting
range shifts of northern bird species: influence of modelling technique and topography. Acta
Oecologica, 36(3): 269-281.
29.Yee, T.W., and Mitchell, N.D. 1991. Generalized additive models in plant ecology. Journal
of vegetation science, 2(5): 587-602.
30.Zahedi Amiri, Gh., Alavi, S.J., Marvi Mohajer, R., and Nouri, Z. 2008. Investigation on the
effects of some soil properties on spatial dispersion of Wych elm (Ulmus glabra Huds) in
Hyrcanian forest, Case study: Kheyroudkenar forest. Journal of the Iranian Natural
Resources, 61(3): 637-652. (In Persian)