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الگوی مکانی و وضعیت رقابت و اجتماعپذیری درختان در تودههای آمیخته ممرز با استفاده از توابع یک و دو متغیره Kرایپلی (مطالعه موردی: قطعه شاهد سری سه حوضه ناو اسالم) | ||
| تحقیقات جنگل و صنوبر ایران | ||
| مقاله 5، دوره 23، شماره 1، فروردین 1394، صفحه 37-52 اصل مقاله (867.57 K) | ||
| نوع مقاله: علمی- پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijfpr.2015.102330 | ||
| نویسندگان | ||
| بیت اله امان زاده* 1؛ محمدرضا پورمجیدیان2؛ خسرو ثاقب طالبی3؛ سیدمحمد حجتی4 | ||
| 1دانشجوی دکتری علوم جنگل، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری | ||
| 2دانشیار، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری | ||
| 3دانشیار پژوهش، موسسه تحقیقات جنگلها و مراتع کشور | ||
| 4استادیار، دانشکده منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری | ||
| چکیده | ||
| بهمنظور بررسی الگوی پراکنش و وضعیت رقابتپذیری درختان در تودههای آمیخته ممرز دو قطعه نمونه یک هکتاری در قطعه شاهد سری ناو اسالم انتخاب شد. اضلاع این قطعات به طول 100 متر در جهت شمالی– جنوبی بودند. برای بررسی رقابت و اجتماعپذیری درونگونهای (Intra-specific)، درختان از نظر قطر در چهار گروه کم قطر (30> سانتیمتر)، میان قطر(50-35 سانتیمتر)، قطور (70-55 سانتیمتر) و خیلی قطور (بزرگتر از 70 سانتیمتر) طبقهبندی شدند. همچنین برای مطالعه تاثیر حضور گونههای مختلف بر هم (اثر بینگونهایInter-specific ) علاوه بر قطر، گونههای درختی نیز برداشت گردیدند. برای تعیین نوع پراکنش درختان و همچنین اجتماعپذیری آنها به ترتیب از روش تابع تک و دو متغیره K رایپلی استفاده شد. نتایج نشان داد که الگوی پراکنش دو توده خوشهای بوده و درختان کم قطر دارای اثر متقابل (Interaction) با درختان با قطر متوسط، قطور و بسیار قطور میباشند (0/05P>). گرچه اثر متقابل کلاسه قطری اول با سه کلاسه قطری دیگر از نوع اثر متقابل جذب (Attraction) بوده اما نقطه شروع آنها یکسان نیست بهطوریکه دو کلاسه قطور و بسیار قطور اثر مثبت خود را در فاصله کم اعمال نمودهاند، در حالیکه در کلاسه متوسط تا حدود 10 متر اول اثر معنیداری مشاهده نمیشود (0/05(P>. بررسی اثر متقابل بین گونهها نیز نشان داد که حضور راش و ممرز وضعیت بیتفاوتی را حداقل در فواصل تا 20 متر به نمایش گذاشته است. بعد از آن نیز اثر متقابل از نوع دفع را میتوان مشاهده کرد. همچنین نتایج نشان داد که گونه راش شدیداً با گونه توسکا در همان فواصل اولیه، اثر متقابل از نوع دفعی دارد. بنابراین بهدلیل اینکه تودههای طبیعی در طول چرخه حیاتی خود نیازهای متفاوتی دارند، اثر متقابل درون و برون گونهای در آنها نیز متفاوت و در نتیجه پاسخ آنها به فرآیندهای طبیعی یکسان نخواهد بود. به همین دلیل شناخت الگوها، راهنمایی مناسب در استفاده از اثرات مطلوب پدیدههای رقابت و اجتماعپذیری در راستای مدیریت نزدیک به طبیعت تودههای جنگلی هستند. | ||
| کلیدواژهها | ||
| اجتماعپذیری؛ اسالم؛ الگوی مکانی؛ تابع تک و دو متغیره رایپلی؛ تودههای آمیخته؛ رقابت | ||
| عنوان مقاله [English] | ||
| Spatial Pattern, competition and spatial association of trees in Mixed Hornbeam Stands using univariate and bivariate Ripley’s K-function (case study: Reserve area, district 3 of Asalem forests) | ||
| نویسندگان [English] | ||
| Beitollah Amanzadeh1؛ Mohammad Reza Pourmajidian2؛ Khosro Sagheb Talebi3؛ Seyyed Mohammad Hojjati4 | ||
| 1Ph.D Student, Department of Forestry, Sari Agricultural Sciences and Natural urces University, Sari, Iran, | ||
| 2Associate Prof., Department of Forestry, Sari Agricultural Sciences and Natural Resources, Sari, Iran | ||
| 3Associate Prof,. Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran | ||
| 4Assistant prof., Department of Forestry, Sari Agricultural Sciences and Natural Resources University, Sari, Iran | ||
| چکیده [English] | ||
| In order to study the competition and spatial association of trees in mixed Hornbeam stands, two 1-ha sample plots (100m×100m) were selected in the reserve area of Asalem forests in Guilan. In each plot, species and diameter at breast height (DBH) of all trees with a diameter > 7.5 cm were recorded and mapped using slope-corrected distance and azimuth from southwest corner of each plot. Distances and azimuths were later transformed to Cartesian coordinates, and all of the measured trees were assigned to one of four diameter size classes: ST (Small Timber, (DBH ≤ 32.5 cm), MT (Medium Timber, 32.5 < DBH ≤ 52.5 cm), LT (Large Timber, 52.5 < DBH ≤ 72.5 cm) and ELT (Extra-Large Timber, DBH > 72.5). Spatial patterns of the entire trees as well as the spatial associations among tree size classes (Intra-specific) and among species (Inter-specific) were analyzed by univariate and bivariate Ripley’s K-function. Results showed that the two stands exhibited a clustered distribution. Furthermore, the interaction between the ST class and other classes was significant (P<0.05). Although we found a positive correlation between the ST and other tree classes, spatial distribution of trees showed different patterns at different spatial scales. The starting point of the attraction in LT and ELT classes was observed at a small scale, whereas it tended towards independent associations in MT class at scale of 10 meter (P>0.05). The inter-specific investigation revealed that Fagus orientalis and Carpinus betulus trees tend towards an independent association at 1-20 meter scales. At higher scales they showed yet a negative correlation. Moreover, F. orientalis was significantly and negatively correlated to Alnus subcordata at small scales. However, their mutual intra-specific and inter-specific effects were different due to the fact that different natural stands have variety of demands during their life cycle. Therefore, it may not necessarily conform to their response to natural processes. This study concludes a founded understanding of spatial pattern of stands to be a helpful indicator for managing forests based on the currently operational close- to- nature silvicultural system. | ||
| کلیدواژهها [English] | ||
| spatial association, Asalem, Spatial pattern, Ripley’s K–function, mixed stands, Competition | ||
| مراجع | ||
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- Akhavan, R., Sagheb-Talebi, Kh., Hassani, M. and Parhizkar, P., 2010. Application of bivariate Ripley’s K-function for studying competition and spatial association of trees (Case study: intact Oriental beech stands in Kelerdasht). Iranian Journal of Forest and Poplar Research, 19(4): 632-643 (In Persian). - Akhavan, R. and Sagheb-Talebi, Kh., 2012. Spatial patterns in untouched beech (Fagus orientalis Lipsky) stands over forest development stages in Kelardasht region of Iran. Iranian Journal of Forest and Poplar Research, 18(2): 322-336 (In Persian). - Alavi, S.J., Zahedi Amiri, Gh. and Marvi Mohadjer, M.R., 2006. An investigation of spatial pattern in Wych Elm (Ulmus glabra) in Hyrcanian forest (Case study: Kheyroudkenar forest, Noshahr). Iranian Journal of Natural Resources, 58: 793-804 (In Persian). - Anonymus, 2004. Forestry plan of Asalem booklet. Forest Range and Watershad Management Organization, 450p. - Cheng, X., Han, H., Kang, F., Song, Y. and Liu, K., 2014. Point pattern analysis of different life stages of Quercus liaotungensis in Lingkong Mountain Shanxi Province, China. Journal of Plant Interactions, 9(1): 233-240. - Clark, P. and Evans, E., 1954. Distance to nearest neighbor as a measure of spatial relationships inopulations. Ecology, 35(4): 445-453. - Condit, R., Ashton, PS., Baker, P., Bunyavejchewin, S., Gunatilleke, S., Gunatilleke, N., Hubbell, SP., Foster, RB., Itoh, A. and Lafrankie, JV., 2000. Spatial patterns in the distribution of tropical tree species. Science, 288: 1414-1418. - Eslami, A.R. and Sagheb-Talebi Kh., 2007. Structure of pure and mixed beech forests in north of Iran (Neka- Zalemrud region ). Pajouhesh & Sazandegi, 77: 39-46 (In Persian). - Goreaud, F., Courbaud, B. and Collinet, F., 1997. Spatial structure analysis applied to modeling of forest dynamics: a few examples. IUFRO workshop: Emprical and process-based models for forest tree and stand growth simulation, NovasTecnologias, Oeiras, Portugal. 155-172. - Habashi, H., Hosseini, S.M., Mohammadi, J. and Rahmani, R., 2007. Stand structure and spatial pattern of trees in mixed Hyrcanian Beech forests of Iran. Iranian Journal of Forest and Poplar Research, 15(1): 55-64 (In Persian). - Hanewinkel, M., 2004. Spatial Patterns in Mixed Coniferous Even-aged, Uneven-aged and Conversion Stands. European Journal of Forest Research, 123: 139-155. - Hao, Z., Zhang, J., Song, B., Ye, J. and Li, B., 2007. Vertical structure and spatial associations of dominant tree species in an old-growth temperate forest. Forest Ecology and Management, 252: 1-11. - Haase, P., Pugnaire, FL., Clark, SC. and Incoll, LD., 1996. Spatial patterns in a two-tiered semi-arid shrubland in southeastern Spain. Journal of Vegetation Science,7: 527-534. - Karami, A., Feghhi, j., Marvie Mohajer, M.R. and Namiranian, M., 2012. Investigation on the spatial pattern of regeneration patches in natural beech (Fagus orientalis Lipsky) forests (Case study :Gorazbon district, Kheiroud- forest). Iranian Journal of Forest. 1(4): 77-87 (In Persian). - Kunstler, G., Curt, T. and Lepart, J., 2004. Spatial pattern of beech (Fagus sylvatica L.) and oak (Quercus pubescens Mill.) seedling in natural pine (Pinus sylvestris L.) woodland. European Journal of Forest Research. 123: 331-337. - Lan, G., Getzin, S., Wiegand, T., Hu, Y., Xie, G., Zhu, H. and Cao , M., 2012. Spatial Distribution and Interspecific Associations of Tree Species in a Tropical Seasonal Rain Forest of China. PLoS ONE, 7(9): e46074. - Longuetaud, F., Seifert, T., Leban, J.M. and Pretzsch, H., 2008. Analysis of long-term dynamics of crowns of sessile oak at the stand level by means of spatial statistics. Forest Ecology and Management, 255: 2007-2019. - Ludwig, J., Reynolds, J.F., 1988. Statistical ecology: primer on methods. Wiley and Sons, New York, 406p. - Ripley, B.D., 1977. Modeling spatial patterns. Journal of the Royal Statistical Society. Series B (Methodological), 39: 172-212. - Rozas, V., Zas, R. and. Solla, A., 2009. Spatial structure of deciduous forest stands with contrasting human in Xuence in northwest Spain. European Journal of Forest Research, 128: 273-285. - Salas, C., Le May, V., Nunez, P., Pacheco, P. and Espinosa, A., 2006. Spatial Patterns In An Old-Growth Nothofagus Obliqua Forest In South-Central Chile. Forest Ecology and Management, 231: 38-46. - Sagheb-Talebi, Kh., Schüts, J.P., 2002. The structure of natural oriental beech (Fagus orrientalis Lipsky) forest in the Caspian region and the application of the group selection system. Forestry Oxford, 75(4): 465-472. - Sánchez Meador, A.J., Moore, M.M. Bakker, J.D. and Parysow, P.F., 2009. 108 years of change in spatial pattern following selective harvest of a Pinus ponderosa stand in northern Arizona, USA. Journal of Vegetation Science, 20(1): 79-90. - Shikholeslami, H., 1991. Effects of elevation, slope and vegetation in soil genesis in Asalemarea soils. M.Sc. thesis, Department of Soil science, University of Tehran, 143p (In Persian). - Szmyt, J., 2014. Spatial statistics in ecological analysis: from indices to functions. Silva Fennica, 48(1): 1- 31 - Wang, G. and Liu, F., 2011. The influence of gap creation on the regeneration of Pinus tabuliformis planted forest and its role in the near-natural cultivation strategy for planted forest management. Forest Ecology and Management, 262: 413-423. - Wiegand, T., 2004. Introduction to Point Pattern Analysis with Ripley’s L and the O-ring statistic using the Programita software. Department of Ecological Modelling. UFZ-Centre for Environmental Research. Germany, 166p. - Wiegand, T., Gunatilleke, C.V.S., Gunatilleke, I.A.U.N. and Okuda., T., 2007. Analyzing the spatial structure of a Sri Lankan tree species with multiple scales of clustering. Ecology, 88: 3088-3102. | ||
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