تأثیر عوامل فیزیوگرافیکی بر میزان شاخص سطح برگ در جنگل‌های پهن‌برگ استان گلستان

 1.Mohammadi, J., Shataei, S., & Namiranian, M. (2014). Comparison of quantitative and qualitative characteristics of forest structure and composition in natural and managed forest stands (Case study: Shast Kalate forests of Gorgan).
J. of Wood & Forest Science and Technology. 21 (1), 65-83.‏

2.Marvi Mohajer, M. R. (2006). Forestry and forest breeding. Tehran Univ. Press. 387p.

3.Chen, J. M., & Black, T. A. (1992). Foliage area and architecture of plant canopies from sunfleck size distributions. Agricultural and Forest Meteorology. 60 (3-4), 249-266.

4.Talebi, M., Sagheb-Talebi, Kh., & Jahanbazi, H. (2006). Site demands and some quantitative and qualitative characteristics of Persian Oak (Quercus brantii Lindl.) in Chaharmahal & Bakhtiari Province. Iranian J. of Forest and Poplar Research. 141, 67-79. [In Persian]

5.Blackburn, T. M., Gaston, K. J., & Loder, N. (1999). Geographic gradients in body size: a clarification of Bergmann's rule. Diversity and Distributions. 5 (4), 165-174.‏

6.Tang, H., Brolly, M., Zhao, F., Strahler, A. H., Schaaf, C. L., Ganguly, S., Zhang, G., & Dubayah, R. (2014). Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA. Remote Sens. Environ. 143, 131-141.

7.Jin, H., Li, A., Xu, W., Xiao, Z., Jiang, J., & Xue, H. (2019). Evaluation of topographic effects on multiscale leaf area index estimation using remotely sensed observations from multiple sensors. ISPRS J. of Photogrammetry and Remote Sensing. 154, 176-188.‏

8.Ryu, Y., Verfaillie, J., Macfarlane, C., Kobayashi, H., Sonnentag, O., Vargas, R., Ma, S., & Baldocchi, D. D. (2012). Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras. J. Remote Sensing of Environment. 126, 116-125.

9.Adl, H. R. (2007). Estimation of leaf biomass and leaf area index of two major species in Yasuj forests. Iranian
J. of Forest and Poplar Research. 15 (4), 417-426. [In Persian]

10.Brantley, S., Zinnert, J. C., & Young, D. R. (2011). Application of hyperspectral vegetation indices to detect variations in high leaf area index temperate shrub thicket canopies. J. Remote Sensing of Environment. 115, 514-523.

11.Darvishzadeh, R., Skidmore, A., Schlerf, M., Atzberger, C., Corsi, F., & Cho, M. (2008). LAI and chlorophyll estimation for heterogeneous grassland using hyperspectral measurements. ISPRS J. of photogrammetry and remote sensing.
63 (4), 409-426.

12.Sefidi, K., Esfandiary Darabad, F., & Azaryan, M. (2016). Effect of topography on tree species composition and volume of coarse woody debris in an Oriental beech (Fagus orientalis Lipsky) old growth forests, northern Iran. J. IForest-Biogeosciences and Forestry.9 (4), 65-86.

13.Basiri, R. (2003). Ecological study of the vegetation zone of the oak and weevil with the analysis of environmental factors in Marivan, PhD thesis, Tarbiat Modares Univ., Noor Faculty of Natural Resources. Pp: 8-12. [In Persian]

14.Sheikholaslami, A., Yazdian, F., & Kialashki, M. (2008). Study on cover of tree and shrub species, Kojur region.
J. of Pejouhesh and Sazanddeghi. 74, 175-184.

15.Manion, P. D. (1991). Tree disease concepts. 2^nd ed. Englewood Cliffs, New Jersey, Prentice-Hall (USA). 402p.

16.Cao, B., Du, Y., Li, J., Li, H., Li, L., Zhang, Y., & Liu, Q. (2015). Comparison of five slope correction methods for leaf area index estimation from hemispherical photography. IEEE Geoscience and Remote Sensing Letters. 12 (9), 1958-1962.‏

17.Eckhardt, L. G., & Menard, R. D. (2008). Topographic features associated with loblolly pine decline in central Alabama. Forest Ecology and Management. 255, 1735-1739.

18.Lomolino, M. V. (2001). Elevation gradients of species-density historical and prospective view. Global Ecology and Biogeography. 10, 3-13.

19.Griffiths, R. P., Madritch, M. D., & Swanson, A. K. (2009). The effects of topography on forest soil characteristics in the Oregon Cascade Mountains (USA): Implications for the effects of climate change on soil properties. Forest Ecology and Management. 257, 1-7.

20.Tateno, R., & Takeda, H. (2003). Forest structure and tree species distribution in relation to topography mediated heterogeneity of soil nitrogen and light at the forest floor. Ecological Research. 18, 559-571.

21.Kaufmann, R. M., & Ryan, G. M. (1986). Physiographic, stand, and environmental effects on individual tree growth and growth efficiency in subalpine forests. Tree Physiology. 2, 47-59.

22.Salick, J., Anderson, J., Woo, R., Sherman, N., Cili, A., & Dorje, S. (2004). Tibetan ethnobotany and gradient analyses. Menri (Medicine Mountains), Eastern Himalayas. Millennium Ecosystem Assessment. Economic Botany. 59: 4. 312-325.

23.España, F., Baret, & Weiss, M. (2008). Slope correction for LAI estimation from gap fraction measurements. Agricultural Forest Meteorol. 148 (10), 1553-1562.

24.Metaji, M., Ishaghi Rad, J., & Salimpour, F. (2014). Investigating the possibility of using ferns as a biological indicator of growing conditions in the forests of northern Iran (case study: Khairudkanar Nowshahr). Environmental Science and Technology Quarterly. 16 (1), 423-436. [In Persian]

25.Pourbabai, H., & Haqgoy, T. (2012). Effect of physiographical factors on tree species diversity (case study: Kandelat Forest Park. Iranian Forest and Poplar Research Quarterly. 21 (2), 243-255. [In Persian]

26.Valipour, A., Nemiranyan, M., Ghazanfari, H., Heshmat Elwaezin, M., Lexar Manfred, J., & Tobias, P. (2012). Relationships between forest structure and tree dimensions with physiographical factors in Armardeh forests (Northern Zagros). Quarterly J. of Iranian forest and poplar research. 21 (1), 20-37. [In Persian]

27.Hosseinzadeh, J., & Porhashmi, M. (2014). Investigating the crown indices of Iranian oak trees to the phenomenon of drying in the forests of Ilam. Iranian Forestry J. of Iranian Forestry Association. 7 (1), 57-66.

28.Kalantari, H., Fallah, A., & Hojjati, M. (2016). The effect of geographical orientation ecology on the growth
of Cupressus sempervirens L. var horizontalis in the hand-planted mass of Abbas Abad Behshahr. Environmental Science and Technology Quarterly. 18 (1), 163-175. [In Persian]

29.Golmohammadi, F., Hassanzad Navrodi, A., Boonyad, A., & Mirzaei, J. (2017). Effects of some environmental factors on dieback severity of trees in Middle Zagros forests of Iran (Case study: strait Daalaab, Ilam Province. J. Plant Research. 30 (3), 644-655. [In Persian]

30.Shataei Joybari, S., & Perma, R. (2010). Effect of physiographic and human on canopy cover and woody species diversity in Zagros forest. Iranian J. of Forest and Poplar Research, 18 (4), 539-555.

31.Oliver, D. C., & Larson, B. C. (1996). Forest stand dynamics. John Wiley & Sons, New York. 520p.

32.Guarin, A., & Taylor, A. H. (2005). Drought triggered tree mortality in mixed conifer forests in Yosemite National Park. California. USA. Forest Ecology and Management. 218, 229-244.

33.Burrascano, S., Keeton, W. S., Sabatini, F. M., & Blasi, C. (2013). Commonality and variability in the structural attributes of moist temperate old-growth forests: a global review. Forest Ecology and Management. 291, 458-479.

34.Amini, S., Seyedi, N., Fatehi, P., & Pir Bavaghar, M. (2022). Assessment of elevation and geographical aspect variability on leaf characteristics of‎ trees in the North Zagros forests. Forest Research and Development. 8 (4), 355-369.

35.Schleppi, P., Conedera, M., Sedivy, I., & Thimonier, A. (2007). Correcting non-linearity and slope effects in the estimation of the leaf area index of forests from hemispherical photographs. Agricultural and Forest Meteorology. 144, 236-242.‏

36.Chen, W., & Cao, C. (2012). Topographic correction-based retrieval of leaf area index in mountain areas.
J. Mountain Science. 9, 166-174.

37.Gonsamo, A., & Pellikka, P. (2008). Methodology comparison for slope correction in canopy leaf area index estimation using hemispherical photography. Forest Ecology and Management. 256, 749-759.

38.Yin, G., Cao, B., Li, J., Fan, W., Zeng, Y., Xu, B., & Zhao, W. (2020). Path length correction for improving leaf area index measurements over sloping terrains: A deep analysis through computer simulation. IEEE Transactions on Geoscience and Remote Sensing. 58 (7), 4573-4589.‏

39.Jin, H., Li, A., Xu, W., Xiao, Z., Jiang, J., & Xue, H. (2019). Evaluation of topographic effects on multiscale leaf area index estimation using remotely sensed observations from multiple sensors. ISPRS J. of Photogrammetry and Remote Sensing. 154, 176-188.

40.Walter, J. M. N., & Torquebiau, E. F. (2000). The computation of forest leaf area index on a slope using fish-eye sensors. J. Comptes Rendus de l'Académie des Sciences-Series III-Sciences de la Vie. 323 (9), 801-813.

41.Kordkoy management of forestry project. (2008). Forests, Range and Watershed Organization. 249p.

42.Doctor Bahramnia Forestry Plan Management. (2009). Forest Science Faculty, Gorgan University of Agricultural Sciences and Natural Recourses, 478p.

43.Anonym. (1991). Zarrin Gol forestry plan booklet, Golestan Province General Department of Natural Resources, 240p.

44.Anonym. (2007). Sorkhdary forest plan booklet. Golestan Province General Department of Natural Resources, 253p.

45.Anonym. (1981). Loveh the forestry plan booklet. Golestan Province General Department of Natural Resources, 240p.

46.Bradshaw, J. D., Rice, M. E., & Hill, J. H. J. J. o. t. K. E. S. (2007). Digital analysis of leaf surface area: effects of shape, resolution, and size. 80 (4), 339-347.

47.Waring, R.H. (1983). Estimating forest growth and efficiency in relation to the canopy leaf area. Advances in Ecological Research. 13, 327-354.

48.Chason, J., Baldocchi, D., & Hutson, M. (1991). A comparison of direct and indirect methods for estimating forest leaf area. Agricultural and Forest Meteorology. 57, 107-28.

49.Eermak, J. (1998). Leaf distribution in large trees and stands of the floodplain forest in southern Moravia. Tree Physiology. 18, 727-737.

50.Tran, P. (2014). Allometry, Biomass and litter decomposition of the New Zealand mangrove Avicennia marina var. australasica. MSc thesis. School of Applied Sciences. New Zealand, 63p.

51.Kamal, M., Phinn, S., Johansen, K., & Adi, N. S. (2016). Estimation of mangrove leaf area index from ALOS AVNIR-2 data (A comparison of tropical and sub-tropical mangroves). In AIP Conference Proceedings. AIP Publishing.

52.Rouhi Moghaddam, E. (2015). Investigation of the relationship between LAI and soil carbon sequestration in pure and mixed planted stands of Oak (Case Study: the lowland forests of Chamestan). Natural Ecosystems of Iran. 5 (4), 11-22. [In Persian]

53.Jin, H., Li, A., Xu, W., Xiao, Z., Jiang, J., & Xue, H. (2019). Evaluation of topographic effects on multiscale leaf area index estimation using remotely sensed observations from multiple sensors. ISPRS J. of Photogrammetry and Remote Sensing. 154, 176-188.‏

54.Mohsennezhad, M., Shokri, M., Zali, H. & Jafarian, Z. (2010). The effects of soil properties and physiographic factors on plant community's distribution (Case study: Behrestagh Rangeland, Haraz). Rangeland. 4 (2), 262-275. [In Persian]

55.Mark, A. F., Dickinson, K. J., & Hofstede, R. G. (2000). Alpine vegetation, Plant distribution, Life form, and environments a humid New Zealand region. Article Antarctic and Alpine Research. 32, 240-254.

56.Hanna, A. Y., Harlan, P. W., & Lewis, D. T. (1982). Soil available water as influenced by landscape. Agronomy J. 1982, 999-1004.

57.Suarez, M. L., Ghermandi, L., & Kitzberger, T. (2004). Factors predisposing episodic drought-induced tree mortality in Nothofagus-site, climatic sensitivity, and growth trends. J. of Ecology. 92, 954-966.