English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Sampling forest tree regeneration with a transect approach

Hessenmöller, D., Elsenhans, A. S., & Schulze, E. D. (2013). Sampling forest tree regeneration with a transect approach. Annals of Forest Research, 56(1), 3-14.

Item is

Files

show Files
hide Files
:
BGC1802.pdf (Publisher version), 438KB
Name:
BGC1802.pdf
Description:
-
OA-Status:
Miscellaneous
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Description:
OA
OA-Status:
Not specified

Creators

show
hide
 Creators:
Hessenmöller, D., Author
Elsenhans, A. S., Author
Schulze, Ernst Detlef1, Author           
Affiliations:
1Emeritus Group, Prof. E.-D. Schulze, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497756              

Content

show
hide
Free keywords: -
 Abstract: A new transect approach for sampling forest tree regeneration is developed with the aim to minimize the amount of field measurements, and to produce an accurate estimation of tree species composition and density independent of tree height. This approach is based on the “probability proportional to size” (PPS) theory to assess heterogeneous vegetation. This new method is compared with other approaches to assess forest regeneration based on simulated and measured, real data. The main result is that the transect approach requires about 50% of the time to assess stand density as compared to the plot approach, due to the fact that only 25% of the tree individuals are measured. In addition, tall members of the regeneration are counted with equal probability as small members. This is not the case in the plot approach. The evenness is 0.1 to 0.2 units larger in the transect by PPS than in the plot approach, which means that the plot approach shows a more homogenous regeneration layer than the PPS approach, even though the stand densities and height distributions are similar. The species diversity is variable in both approaches and needs further investigations.

Details

show
hide
Language(s):
 Dates: 2012-10-202012-11-062013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC1802
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Annals of Forest Research
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Romania : Forest Research and Management Institute ICAS
Pages: - Volume / Issue: 56 (1) Sequence Number: - Start / End Page: 3 - 14 Identifier: Other: 1844-8135
CoNE: https://pure.mpg.de/cone/journals/resource/18448135