Literature DB >> 11720225

A fast method for monitoring foliage density in single lower-canopy trees.

C M Frampton1, C J Pekelharing, I J Payton.   

Abstract

A subjective visual assessment of foliage density is the most widely used rapid method of determining forest health. For these assessments to be ecologically meaningful they must be reliable (have low inter- and intra-observer variability) and readily relate to a measure of physiological or physical stress. A simple rapid method for assessing percent foliage density in lower stature trees is described. This method has low inter-observer variability (standard deviation between observers=8.6%) and therefore, minimizes the risk of confounding the effects of different observers with genuine changes in density. The percentage changes in this measure of foliage density correlate well with percentage changes in biomass, allowing a ready interpretation of observed changes. The technique does not specifically identify the cause of the measured changes, however, with appropriate additional measures this problem may be overcome.

Mesh:

Year:  2001        PMID: 11720225     DOI: 10.1023/a:1012049205475

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Consistency of observations of forest tree defoliation in three European countries.

Authors:  J L Innes; G Landmann; B Mettendorf
Journal:  Environ Monit Assess       Date:  1993-03       Impact factor: 2.513

  1 in total
  2 in total

1.  Land degradation on barren hills: a case study in northeast Vietnam.

Authors:  Nina Nikolic; Rainer Schultze-Kraft; Miroslav Nikolic; Reinhard Böcker; Ingo Holz
Journal:  Environ Manage       Date:  2008-04-08       Impact factor: 3.266

2.  Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images.

Authors:  Chinsu Lin; Sorin C Popescu; Gavin Thomson; Khongor Tsogt; Chein-I Chang
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.