کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9620290 | 159404 | 2005 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Compatible taper and volume equations for yellow-poplar in West Virginia
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Compatible segmented polynomial taper and volume functions were developed for yellow-poplar (Liriodendron tulipifera L.) from two ecoregions of West Virginia. The data were based on stem analysis of 26 trees from the Central Appalachian Broadleaf Forest province in northern West Virginia and 18 trees from the Eastern Broadleaf Forest province in west central West Virginia. Sample disks were extracted from 0.3, 0.6, 1.37, 1.8Â m and then every 1.2Â m to an approximate 7.6Â cm top diameter outside bark. Sample trees ranged from 17.3 to 56.1Â cm in diameter and from 18.8 to 38.5Â m in total height. Model forms developed by Max and Burkhart [Max, T.A., Burkhart, H.E., 1976. Segmented polynomial regression applied to taper equations. For. Sci. 22, 283-289] and Clark et al. [Clark III, A., Souter, R.A., Schlaegel, B.E., 1991. Stem profile equations for southern tree species. USDA For. Serv. Res. Pap. SE-282] as well as two reduced forms of Clark et al. [Clark III, A., Souter, R.A., Schlaegel, B.E., 1991. Stem profile equations for southern tree species. USDA For. Serv. Res. Pap. SE-282] model were fitted to both inside and outside bark data. Outside bark taper prediction error for the proposed reduced model form using the fitted dataset had an average bias of 0.0153Â cm and a standard error of the estimate of 1.2798Â cm, based on the results from Central Appalachian Broadleaf Forest province. Volume prediction error for the same model and location had an average bias of â0.00002Â m3 and a standard error of the estimate of 0.0045Â m3. Tests with an independent dataset from northern West Virginia showed the proposed reduced model form had the lowest overall outside bark prediction error as well as having the smallest error in five of the seven relative height classes tested.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forest Ecology and Management - Volume 213, Issues 1â3, 18 July 2005, Pages 399-409
Journal: Forest Ecology and Management - Volume 213, Issues 1â3, 18 July 2005, Pages 399-409
نویسندگان
Lichun Jiang, John R. Brooks, Jingxin Wang,