A Discriminant-function Approach to Ecological Site Classification in Northern New England

A Discriminant-function Approach to Ecological Site Classification in Northern New England PDF Author: James Fincher
Publisher:
ISBN:
Category : Discriminant analysis
Languages : en
Pages : 16

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A Discriminant-function Approach to Ecological Site Classification in Northern New England

A Discriminant-function Approach to Ecological Site Classification in Northern New England PDF Author: James Fincher
Publisher:
ISBN:
Category : Discriminant analysis
Languages : en
Pages : 16

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Research Paper NE

Research Paper NE PDF Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 300

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General Technical Report NE

General Technical Report NE PDF Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 628

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Proceedings

Proceedings PDF Author: J. Daniel Dolan
Publisher:
ISBN:
Category : Forest ecology
Languages : en
Pages : 414

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Publications of the Northeastern Forest Experiment Station, 1993 and 1994

Publications of the Northeastern Forest Experiment Station, 1993 and 1994 PDF Author: Northeastern Forest Experiment Station (Radnor, Pa.)
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 64

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Global to Local: Ecological Land Classification

Global to Local: Ecological Land Classification PDF Author: Richard A. Sims
Publisher: Springer Science & Business Media
ISBN: 9400916531
Category : Technology & Engineering
Languages : en
Pages : 619

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Book Description
Ecological Land Classification (ELC) refers to the description of land resources at a range of spatial resolutions (i.e. global to local) and for a range of purposes or values. The emerging science of ELC is in fact a very carefully integrated blend of vegetation and earth sciences, climatology, cartography and ecology with a range of new technologies and methodologies including computer-based geographic information systems, remote sensing and simulation modelling. This publication defines the current `state-of-the-art' of ELC. It provides particular insight into the role of ELC in current and future forest resource planning and management, and emphasizes its application and usefulness at various spatial scales, for a variety of geographic locations, and under a range of management scenarios/constraints. The book is an invaluable and substantial reference source about the current trends in ELC and will be of particular value to ecologists, foresters, geographers, resource managers, wildlife biologists, GIS and remote sensing specialists, educators and students.

General Technical Report RMRS

General Technical Report RMRS PDF Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 86

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Integrating Ecosystem Sampling, Gradient Modeling, Remote Sensing, and Ecosystem Simulation to Create Spatially Explicit Landscape Inventories

Integrating Ecosystem Sampling, Gradient Modeling, Remote Sensing, and Ecosystem Simulation to Create Spatially Explicit Landscape Inventories PDF Author: Robert E. Keane
Publisher:
ISBN:
Category : Ecosystem management
Languages : en
Pages : 68

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Current Abstracts

Current Abstracts PDF Author:
Publisher:
ISBN:
Category : Biomass energy
Languages : en
Pages : 64

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West Virginia Yellow-poplar Lumber Defect Database

West Virginia Yellow-poplar Lumber Defect Database PDF Author: Lawrence E. Osborn
Publisher:
ISBN:
Category : Liriodendron tulipifera
Languages : en
Pages : 688

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Book Description
S2In West Virginia, yellow-poplar (Liriodendron tulipifera) is abundant and is a prime candidate for increased utilization in a variety of manufacturing industries. Computer simulations are a cost-effective tool for estimating potential cutting yields from lumber. They can be used to promote increased use of yellow-poplar in the furniture, cabinet, and architectural woodworking industries and may also lead to increased utilization of the lower grades of lumber. This paper describes the data collection methods and the format of the new West Virginia yellow-poplar lumber defect database that was developed for use with computer simulation programs. The database contains descriptions of 627 boards, totaling approximately 3,800 board feet, collected in West Virginia for grades FAS, FASIF, No. 1 Common, No. 2A Common, and No. 28 Common.S3.