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Intensive Forest Monitoring - Level II
Project
Project code: TI-WO-08-PID1566
Contract period: 01.01.1995
- 31.12.2016
Purpose of research: Inventory & Assessment
The Intensive Forest Monitoring (Level II) is performed within selected forest sites (case studies). Data on relevant parameters are collected periodically or even continuously in order to describe status and development of forest ecosystems.
Level II is part of the International Co-operative Programme on the Assessment of Air Pollution Effects on Forests (ICP Forests) under the umbrella of the Convention on Long-range Transboundary Air Pollution(CLRTAP) is an essential complement to area-representative Level I monitoring (Crown condition assessment (WZE) and Soil survey (BZE)). It was implemented to undertake ecosystem-related studies on cause-effect relationships. In Germany there are 68 sites with in total twelve surveys activly investigated; partly in high temporal resolution collected, quality checked, and feed into a data base at PCC of ICP Forests. This activities performed by the German federal states are covered since 01/01/2014 by federal regulation based on the federal forest law. The collectied data are internally evalutated and as well provided for national and international studies. At the moment input output studies of forest ecosystems are on the way.
The German federal states collect the data according to a internationally adjusted manual within the following surveys: crown condition, increment, foliar element concentrations, litterfall, phenology, visible ozon injuries, ground vegetation, deposition, meteorology, soil solution and soil solid phase. Quality checks are also perfomed after the manual. Gap replacement as well as the application of canopy flux models are applied according to adequate process-related models. Inference statistics are for crown condition, increment, foliar element concentrations or ground vegetation as response variables and deposition, soil, climate-related variables, or soil parameters as drivers are performed at different temporal and spatial scales.
Section overview
Subjects
- Silviculture
- Resource management
- Climate Change
- Computer science
