Forest MensurationSpringer Science & Business Media, 20/07/2007 - 385 من الصفحات Forest mensuration is one of the most fundamental disciplines within forest and related sciences. It deals with the measurement of trees and stands and the analysis of the resultant information. During the early days of sustained forest management simple measurement and estimation methods and with the analysis of inventory and research data were available. The middle of last c- tury, however, witnessed a worldwide increase in the need for more quan- tative information about trees and stands. This generated the need for more sophisticated methods to obtain and analyze forest data. This development was followed by a phenomenal explosion of information. During the past decades there has been fruitful cooperation between the Institute of Forest Inventory and Forest Growth, formerly “Institute of Forest Management and Forest Yield Sciences” of the University of Gottingen, ̈ Germany and the Faculty of Forestry of the University of Stellenbosch, South Africa. This book is one of the results of this fruitful cooperation between these institutions. |
المحتوى
| 1 | |
FREEHAND FITTING | 10 |
6 | 38 |
5 | 44 |
MEASUREMENT OF STANDS | 95 |
STAND HEIGHT | 116 |
TAPER TABLES AND FUNCTIONS | 149 |
TREE VOLUME TABLES AND EQUATIONS | 163 |
SAMPLING FOR FOREST INVENTORIES | 229 |
2 | 277 |
2 | 280 |
MULTISTAGE SAMPLING | 287 |
12 | 295 |
14 | 303 |
LINE INTERSECT SAMPLING | 314 |
5 | 339 |
طبعات أخرى - عرض جميع المقتطفات
عبارات ومصطلحات مألوفة
aerial photographs angle area per hectare b₁ bark basal area bias biased biomass biomass components branch calculated cluster sampling coefficient coefficient of variation confidence interval dbh and height dbh cm defined diameter class diameter distribution distance esti example Figure fitted forest inventories formula growth height curve hypsometer increment index curves linear ln(d ln(h mean height measured method normal distribution Norway spruce number of trees observed obtained parameter Pinus radiata population mean predict predictor variables produces quadratic mean diameter radiata random sampling ratio regression equation relationship sample plots sample trees sampling fraction sampling point sampling units selected simple random sampling slope squared stand density stand volume stem diameter stem profile stem volume subject tree systematic sampling target variable top height tree height tree volume unbiased estimates variance volume per hectare volume tables Weibull distribution yield tables
