Review of ground-based methods to measure the distribution of biomass in forest canopies-Reference-Cited by-同舟云学术

Review of ground-based methods to measure the distribution of biomass in forest canopies

Published:2011-03 Issue:2 Volume:68 Page:225-244
ISSN:1286-4560
Container-title:Annals of Forest Science
language:en
Short-container-title:Annals of Forest Science

Author:

Seidel Dominik,Fleck Stefan,Leuschner Christoph,Hammett Tom

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Forestry

Link

http://www.springerlink.com/index/pdf/10.1007/s13595-011-0040-z

Reference171 articles.

1. Aber JD (1979) Foliage height profiles and succession in northern hardwood forests. Ecology 60:18–23

2. Aber JD, Federer CA (1992) A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia 92:463–474

3. Anderson MC (1964) Studies of the woodland light climate. 1. The photographic computation of light conditions. J Ecol 52:27–41

4. Anderson MC (1966) Some problems of simple characterization of the light climate in plant communities. In: Bainbridge R, Evans GC, Rackham O (eds) Light as an ecological factor. Blackwell, Oxford, pp 77–90

5. Arthur MA, Hamburg SP, Siccama TG (2000) Validating allometric estimates of aboveground living biomass and nutrient contents of a northern hardwood forest. Can J For Res 31:11–17

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