View source for Forest diversity

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[[file:Explo1.png|thumb|right|500px]]
'''Project Title:''' BEST Subproject IO-H2
 
*'''Funding:''' DFG (Core project to the Biodiversity Exploratories)
 
*'''Duration:''' 2011-2014
 
*'''Link:''' [http://www.biodiversity-exploratories.de/startseite/ Biodiversity Exploratories]
 
*'''Coordination:''' Prof. Dr. Christoph Kleinn 

*'''Project researcher:''' Dr. Rainer Schulz

[[file:Explo2.jpg|thumb|right|400px|Bildunterschrift]]
 
==Background==
Based on a coherent network of [[Fixed area plots|sample plots]] distributed over the total [[forest area]] of the [http://www.biodiversity-exploratories.de/startseite/ Biodiversity Exploratories] forest  variables as well as diversity indicators are assessed to estimate those target variables at landscape level.   
===Extension of the monitoring concept using a systematic grid of sample plots===
To statistically ensure conclusions on the effects of different forest  
management intensities on biodiversity of forests on the scale level 
of the Exploratories the existing forest inventory concept is extended. 
The starting point in that context represents the implementation of a 
long-term sampling-, plot- and estimation design allowing to address the 
variability of estimated parameters as well as the estimation [[accuracy and precision|accuracy]].  
Forest mensurational variables, indicators of structure and biodiversity,
and variables addressing quantity and quality of regeneration and dead
wood are assessed. The systematic inventory design on the total forest
area of the Exploratories offers the possibility for repeated assessments 
of the variables and by this allows for a continued estimation of forest
diversity development at landscape level.
===Regionalization===

Regionalisation
The regionalisation of essential indicator variables for forest biodiversity is realised based on the data of the [[systematic sampling|systematic inventory]]. Target variables in that context are e.g. tree species, stand density and above-ground biomass. Remote sensing data (digital aerial   photographs, RapidEye satellite images) play a central role in the   derivation of area-wide estimations in form of maps of important   biodiversity variables. The regionalisation provides information that   also enables other projects to better explain relationships between   management types (and intensities) and forest diversity.


==Project Goals==
*to make regional assessments of biomass, tree diversity and  management as one main basis for selection of the experimental plots 
*to inventory the selected experimental plots with respect to tree and species distribution 



[[Category:Projects]]