Predicting Understory Species Richness from Stand and Management Characteristics Using Regression Trees

Predicting Understory Species Richness from Stand and Management Characteristics Using Regression Trees

Managing forests for multiple ecosystem services such as timber, carbon, and biodiversity requires information on ecosystem structure and management characteristics. National forest inventory data are increasingly being used to quantify ecosystem services, but they mostly provide timber management a...

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Bibliographic Details
Main Authors: Francisco J. Escobedo, Joanna M. Tucker Lima, Wendell P. Cropper, Nilesh Timilsina
Format: Article
Language:English
Published: MDPI AG 2013-02-01
Series:Forests
Subjects:
herbaceous richness
understory richness
pine flatwoods
regression tree
forest inventory
richness model
Online Access:http://www.mdpi.com/1999-4907/4/1/122

Internet

http://www.mdpi.com/1999-4907/4/1/122

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