به‌کارگیری فتوگرامتری زمینی در برآورد زی‌توده درختان تک پایه بلوط ایرانی
الموضوعات :
زهرا عزیزی
1
,
اصغر حسینی
2
,
یعقوب ایرانمنش
3
1 - استادیار گروه سنجش از دور و سیستم اطلاعات جغرافیایی، دانشکده محیط زیست و انرژی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران*(مسوول مکاتبات)
2 - کارشناس اداره کل منابع طبیعی استان چهارمحال و بختیاری، شهرکرد
3 - استادیار پژوهش، بخش تحقیقات منابع طبیعی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان چهارمحال و بختیاری، سازمان تحقیقات، آموزش و ترویج کشاورزی، شهرکرد
تاريخ الإرسال : 13 الأربعاء , صفر, 1437
تاريخ التأكيد : 24 الأحد , رجب, 1437
تاريخ الإصدار : 04 الجمعة , ربيع الثاني, 1439
الکلمات المفتاحية:
بلوط ایرانی,
فتوگرامتری بردکوتاه,
زی‌توده,
ملخص المقالة :
زمینه و هدف: برآورد دقیق زی توده جنگلی با هدف بررسی توان جنگل‌ها در ترسیب کربن اتمسفری از مسایل بسیار مهم در مدیریت جنگل‌هاست. پژوهش حاضر به‌منظور برآورد زی توده درختان تک پایه بلوط ایرانی با استفاده از روش غیرمخرب فتوگرامتری زمینی صورت گرفت. روش بررسی: در این تحقیق که در استان چهارمحال و بختیاری انجام شد، ابتدا 32 درخت تک پایه بلوط ایرانی در طبقه‌های قطری مختلف انتخاب و از هر درخت دو عکس در جهت عمود بر هم گرفته شد. سپس برای هر عکس مقیاس محاسبه گردید و حجم اجزای مختلف درخت اعم از تنه، شاخه های اصلی، شاخه های فرعی و شاخ و برگ (تاج) تعیین گردید. با نمونه‌برداری از اجزاء مختلف درخت، چگالی هر جزء محاسبه و زی‌توده برای اجزای مختلف اندازه‌گیری شد. سپس زی‌توده برآورد شده از روش فتوگرامتری زمینی با زی‌توده به‌دست آمده از روش قطع و توزین مقایسه گردید. یافته‌ها: نتایج نشان داد که اختلاف آماری معنی داری بین زی‌توده برآورد شده از روش فتوگرامتری زمینی با شیوه قطع که دقیق ترین روش برآورد زی توده است وجود ندارد. بحث و نتیجه‌گیری: این تحقیق دقت و کارایی روش فتوگرامتری زمینی را در برآورد زی‌توده روی زمینی در فرم رویشی تک‌پایه بلوط ایرانی نشان داد.
المصادر:
UNDP (United Nations Development Program), 1998. Human Development Report 1998. Oxford University Press, Oxford and New York.
Zhang, X. Q. and Xu, D., 2003. Potential carbon sequestration in China’s forests. Environmental Science & Policy 6: 421–432.
UNFCCC, 1997. Kyoto Protocol to the United Nations Framework Convention on Climate Change, Article 12.
IPCC, 2003. Good practice guidance for land use, land-use change and forestry., Hayama, Japan: IPCC National Greenhouse Gas Inventories Programme, 295 pp.
Kaonga, M.L., T.P. Bayliss-Smith, 2010. Allometric models for estimation of aboveground carbon stocks in improved fallows in eastern Zambia, Agroforestry Systems Journal, 78(3): 217-232.
Ketterings, Q.M., R. Coe, M.V. Noordwijk, Y. Ambagau, and C.A.Palm, 2000. Reducing uncertainty in the use of allometric biomass equation for predicting above-ground tree biomass in mixed secondary forests, Forest Ecology and Management Journal, 146(2001): 199-209.
Montes, N., T. Gauquelin, W. Badri, V. Bertaudiere, and El.H.Zaoui, 2000. A non-destructive method for estimating above-ground forest biomass in threatened woodlands, Forest Ecology and Management Journal, 130 (2000): 37-46.
Saatchi, S.S., Houghton, A., Dos Santos Alvala, R.C., Soare, J.V. and Yu, Y., 2007. Distribution of above ground biomass in the Amazon. Global Change Biol., 13: 816-837.
Zimble, D.A, D.L. Evans, G.C. Carlson, R.C. Parker, S.C. Grado and P.D. Gerard, 2003. Characterizing vertical forest structure using small-footprint airborne LiDAR, Remote Sensing of Environment Journal, 87(2003): 171-182.
Sohrabi, H., Zobeiri, M., Hosseini, S.M., 2009. Preparation of Aerial Volume Table using Visual Interpretation of Digital Aerial Images, Journal of Forest and Wood Products (JFWP), Iranian Journal of Natural Resources, Vol. 62(3): 261-274.
Collin, R. L, and N.W.T. Chisholm, 1991.The photogrammetric record, Geomorphological Photogrammetry Journal, 13(78):845-854.
Welch, R. and T. Jordan, 1983. Analytical non-metric close-range photogrammetry for monitoring stream channel erosion, Photogrammetric Engineering and Remote Sensing Journal, 49(3): 367-374.
Fryer, J.G., J.H. Chandler, and M.A.R. Cooper, 1994. On the accuracy of heighting from maps and aerial photographs: Implications for process modellers, Earth Surface Processes and Landforms, Vol.19: 577-583.
Lane, S., K.S. Richards, and J.H. Chandler, 1993. Developments in photogrammetry; the geomorphological potential, Progress in Physical Geography Journal, 17(3): 306-328.
Brunsden, D. and J.H. Chandler, 1996. The continuing evolution of the Black Ven mudslide, 1946-95, Advances in Hillslope Processes, Wiley, Chichester, pp. 869-898.
Chandler, G., 1996. Business similarity as a moderator of the relationship between pre-ownership experience and venture performance, Entrepreneurship Theory and Practice Journal, 20(3): 51–65.
Schenk, T. and C. Toth, 1992. Conceptual Issues of Soft-copy Photogrammetric Workstations, Photogrammetric Engineering and Remote Sensing Journal, 58(1): 101-110.
Stojic, M., J. Chandler, P. Ashrnore, and J. Luce, 1998. The assessment of sediment transport rates by automated digital photogrammetry, Photogrammetric Engineering and Remote Sensing Journal, 64(5): 387-395.
Okuda, T., M. Suzuki, S. Numata, K. Yoshida, S. Nishimura, N. Adachib, K. Niiyama, N. Manokaran, and M. Hashim, 2004. Estimation of aboveground biomass in logged and primary lowland rainforests using 3-D photogrammetric analysis, Forest Ecology and Management Journal, 203(2004): 63-75.
Seidel, D., F. Beyer, D. Hertel, S. Fleck, and C. Leuschner, 2011. 3D-laser scanning: A non-destructive method for studying above- ground biomass and growth of juvenile trees, Agricultural and Forest Meteorology Journal, 151(2011): 1305–1311.
Hernandez, R.P, 2004. Assessing carbon stocks and modelling win–win scenarios of carbon sequestration through land-use changes, Food and agriculture organization of the United Nations, Rome, 156P.
Iranmanesh, Y., Sagheb Talebi, K., Sohrabi, H., Jalali, S.G., Hosseini, S.M., 2014: Biomass and carbon Stocks of Brant's oak (Quercus brantii Lindl.) in two vegetation forms in Lordegan, Chaharmahal & Bakhtiari Forests, Iranian Journal of Forest and Poplar Research,Vol. 22(4): 749-762.
Zianis, D., Muukkonen, P., Mäkipää, R. and Mencuccini, M., 2005. Biomass and Stem Volume Equations for Tree Species in Europe. SILVA FENNICA. Monographs 4.52p.
Husch, B., T.W. Beers & J.A. Kershaw, 2003. Forest mensuration. 4th Edition, John Wiley & Sons Inc., 443 pp.
West, P.W, 2009. Tree and Forest Measurement. Springer, 190 p.
Peper, P. and Mcpherson, G., 1998. Comparison of four foliar and woody biomass estimation methods applied to open-grown deciduous trees, Journal of arboriculture, 24: 191-200.
Good, N., M. Paterson., C. Brack and K. Mengersen., 2001. Estimating tree component biomass using variable probability sampling methods, Journal of agricultural, Biological and Environmental Statistics, 6: 258-267.
Aguilar, R., Ghilardi, A., Vega, E., Skutsch, M. and Oyama, K., 2012. Sprouting productivity and allometric relationships of two oak species managed for traditional charcoal making in central Mexico. biomass and bioenergy, 36: 192-207.
Bakhtiarvand Bakhtiari, S., Sohrabi, H., 2012: Preliminary results of estimating above- ground biomass using Randomized Branch Sampling method for planted Mulberry and Black Locust in Mobarakeh Steel region, Vol. 19(4): 562-571.
Wang, X., Fang, J. and Zhu, B., 2008. Forest biomass and root–shoot allocation in northeast China. Forest Ecology and Management, 255: 4007–4020.
Peichl, M., Arain, M.A., 2007. Allometry and partitioning of above- and belowground tree biomass in an age-sequence of white pine forests. Forest Ecology and Management, 253(1–3): 68–80.
Gersonde, R.F. and O’Hara, K. L, 2005.Comparativetree growth efficiency in Sierra Nevada mixed-conifer forests. Forest Ecology and Management, 219, 95–108.
_||_
UNDP (United Nations Development Program), 1998. Human Development Report 1998. Oxford University Press, Oxford and New York.
Zhang, X. Q. and Xu, D., 2003. Potential carbon sequestration in China’s forests. Environmental Science & Policy 6: 421–432.
UNFCCC, 1997. Kyoto Protocol to the United Nations Framework Convention on Climate Change, Article 12.
IPCC, 2003. Good practice guidance for land use, land-use change and forestry., Hayama, Japan: IPCC National Greenhouse Gas Inventories Programme, 295 pp.
Kaonga, M.L., T.P. Bayliss-Smith, 2010. Allometric models for estimation of aboveground carbon stocks in improved fallows in eastern Zambia, Agroforestry Systems Journal, 78(3): 217-232.
Ketterings, Q.M., R. Coe, M.V. Noordwijk, Y. Ambagau, and C.A.Palm, 2000. Reducing uncertainty in the use of allometric biomass equation for predicting above-ground tree biomass in mixed secondary forests, Forest Ecology and Management Journal, 146(2001): 199-209.
Montes, N., T. Gauquelin, W. Badri, V. Bertaudiere, and El.H.Zaoui, 2000. A non-destructive method for estimating above-ground forest biomass in threatened woodlands, Forest Ecology and Management Journal, 130 (2000): 37-46.
Saatchi, S.S., Houghton, A., Dos Santos Alvala, R.C., Soare, J.V. and Yu, Y., 2007. Distribution of above ground biomass in the Amazon. Global Change Biol., 13: 816-837.
Zimble, D.A, D.L. Evans, G.C. Carlson, R.C. Parker, S.C. Grado and P.D. Gerard, 2003. Characterizing vertical forest structure using small-footprint airborne LiDAR, Remote Sensing of Environment Journal, 87(2003): 171-182.
Sohrabi, H., Zobeiri, M., Hosseini, S.M., 2009. Preparation of Aerial Volume Table using Visual Interpretation of Digital Aerial Images, Journal of Forest and Wood Products (JFWP), Iranian Journal of Natural Resources, Vol. 62(3): 261-274.
Collin, R. L, and N.W.T. Chisholm, 1991.The photogrammetric record, Geomorphological Photogrammetry Journal, 13(78):845-854.
Welch, R. and T. Jordan, 1983. Analytical non-metric close-range photogrammetry for monitoring stream channel erosion, Photogrammetric Engineering and Remote Sensing Journal, 49(3): 367-374.
Fryer, J.G., J.H. Chandler, and M.A.R. Cooper, 1994. On the accuracy of heighting from maps and aerial photographs: Implications for process modellers, Earth Surface Processes and Landforms, Vol.19: 577-583.
Lane, S., K.S. Richards, and J.H. Chandler, 1993. Developments in photogrammetry; the geomorphological potential, Progress in Physical Geography Journal, 17(3): 306-328.
Brunsden, D. and J.H. Chandler, 1996. The continuing evolution of the Black Ven mudslide, 1946-95, Advances in Hillslope Processes, Wiley, Chichester, pp. 869-898.
Chandler, G., 1996. Business similarity as a moderator of the relationship between pre-ownership experience and venture performance, Entrepreneurship Theory and Practice Journal, 20(3): 51–65.
Schenk, T. and C. Toth, 1992. Conceptual Issues of Soft-copy Photogrammetric Workstations, Photogrammetric Engineering and Remote Sensing Journal, 58(1): 101-110.
Stojic, M., J. Chandler, P. Ashrnore, and J. Luce, 1998. The assessment of sediment transport rates by automated digital photogrammetry, Photogrammetric Engineering and Remote Sensing Journal, 64(5): 387-395.
Okuda, T., M. Suzuki, S. Numata, K. Yoshida, S. Nishimura, N. Adachib, K. Niiyama, N. Manokaran, and M. Hashim, 2004. Estimation of aboveground biomass in logged and primary lowland rainforests using 3-D photogrammetric analysis, Forest Ecology and Management Journal, 203(2004): 63-75.
Seidel, D., F. Beyer, D. Hertel, S. Fleck, and C. Leuschner, 2011. 3D-laser scanning: A non-destructive method for studying above- ground biomass and growth of juvenile trees, Agricultural and Forest Meteorology Journal, 151(2011): 1305–1311.
Hernandez, R.P, 2004. Assessing carbon stocks and modelling win–win scenarios of carbon sequestration through land-use changes, Food and agriculture organization of the United Nations, Rome, 156P.
Iranmanesh, Y., Sagheb Talebi, K., Sohrabi, H., Jalali, S.G., Hosseini, S.M., 2014: Biomass and carbon Stocks of Brant's oak (Quercus brantii Lindl.) in two vegetation forms in Lordegan, Chaharmahal & Bakhtiari Forests, Iranian Journal of Forest and Poplar Research,Vol. 22(4): 749-762.
Zianis, D., Muukkonen, P., Mäkipää, R. and Mencuccini, M., 2005. Biomass and Stem Volume Equations for Tree Species in Europe. SILVA FENNICA. Monographs 4.52p.
Husch, B., T.W. Beers & J.A. Kershaw, 2003. Forest mensuration. 4th Edition, John Wiley & Sons Inc., 443 pp.
West, P.W, 2009. Tree and Forest Measurement. Springer, 190 p.
Peper, P. and Mcpherson, G., 1998. Comparison of four foliar and woody biomass estimation methods applied to open-grown deciduous trees, Journal of arboriculture, 24: 191-200.
Good, N., M. Paterson., C. Brack and K. Mengersen., 2001. Estimating tree component biomass using variable probability sampling methods, Journal of agricultural, Biological and Environmental Statistics, 6: 258-267.
Aguilar, R., Ghilardi, A., Vega, E., Skutsch, M. and Oyama, K., 2012. Sprouting productivity and allometric relationships of two oak species managed for traditional charcoal making in central Mexico. biomass and bioenergy, 36: 192-207.
Bakhtiarvand Bakhtiari, S., Sohrabi, H., 2012: Preliminary results of estimating above- ground biomass using Randomized Branch Sampling method for planted Mulberry and Black Locust in Mobarakeh Steel region, Vol. 19(4): 562-571.
Wang, X., Fang, J. and Zhu, B., 2008. Forest biomass and root–shoot allocation in northeast China. Forest Ecology and Management, 255: 4007–4020.
Peichl, M., Arain, M.A., 2007. Allometry and partitioning of above- and belowground tree biomass in an age-sequence of white pine forests. Forest Ecology and Management, 253(1–3): 68–80.
Gersonde, R.F. and O’Hara, K. L, 2005.Comparativetree growth efficiency in Sierra Nevada mixed-conifer forests. Forest Ecology and Management, 219, 95–108.
