Site Index Prediction for Willow and Cherrybark Oaks in East Texas Bottomland Forests

Q4 Agricultural and Biological Sciences

林业科学研究 Pub Date : 2017-09-24 DOI:10.4172/2168-9776.1000210

Oswald Bp, Y. Weng, Kronrad Gd

引用次数: 0

Abstract

Estimating site quality for a specific tree species is an important tool in forest management. While intensively managed pine species are often the focus of site quality studies using site index, hardwood species found in bottomland hardwood sites are often lacking in quality growth prediction equations. Two valuable hardwood species, willow oak (Quercus phellos) and cherrybark oak (Q. pagoda), are of interest for forest managers of east Texas bottomland sites. The objective of this study was to develop site index prediction equations and curves for these two species. Using height and age data from 267 cherrybark oaks and 460 willow oaks collected from sites across east Texas, remarkably similar equations were developed, with coefficient of determination (R2) of 0.63 for cherrybark oak and 0.52 for willow oak.

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东德克萨斯州洼地森林柳树和樱桃栎立地指数预测

估算特定树种立地质量是森林管理的重要工具。利用立地指数进行立地质量研究的重点是集约管理的松木树种，而在低地阔叶林立地发现的阔叶林树种往往缺乏质量生长预测方程。两种珍贵的硬木树种，柳树(Quercus phellos)和樱桃栎(Q. pagoda)，是东德克萨斯州洼地森林管理者感兴趣的。本研究的目的是建立这两个物种的立地指数预测方程和曲线。利用从德克萨斯州东部采集的267棵樱桃栎和460棵柳树的高度和年龄数据，得出了非常相似的方程，樱桃栎的决定系数(R2)为0.63，柳树的决定系数(R2)为0.52。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

林业科学研究 Environmental Science-Ecology

CiteScore

0.90

自引率

0.00%

发文量

4834

期刊介绍： Forestry Research is a comprehensive academic journal of forestry science organized by the Chinese Academy of Forestry. The main task is to reflect the latest research results, academic papers and research reports, scientific and technological developments and information on forestry science mainly organized by the Chinese Academy of Forestry, to promote academic exchanges at home and abroad, to carry out academic discussions, to flourish forestry science, and to better serve China's forestry construction. The main contents are: forest seeds, seedling afforestation, forest plants, forest genetic breeding, tree physiology and biochemistry, forest insects, resource insects, forest pathology, forest microorganisms, forest birds and animals, forest soil, forest ecology, forest management, forest manager, forestry remote sensing, forestry biotechnology and other new technologies, new methods, and to increase the development strategy of forestry, the trend of development of disciplines, technology policies and strategies, etc., and to increase the forestry development strategy, the trend of development of disciplines, technology policies and strategies. It is suitable for scientists and technicians of forestry and related disciplines, teachers and students of colleges and universities, leaders and managers, and grassroots forestry workers.