The growth of trees is a key ecological parameter of forests and thus of high importance as an indicator of forest condition in long-term forest monitoring. Forest growth can be easily and fairly inexpensively assessed on both intensive monitoring plots and large-scale plots. For intensive monitoring plots, we propose a hierarchical system of stem diameter measurements with simple manual growth assessments in regular multiannual intervals on all trees (periodic measurements), annual to weekly readings of permanently installed girth bands (permanent measurements) on a subset of trees, and electronically recorded dendrometer measurements with high-time resolution on a few selected trees (continuous measurements) for physiological measurements. For this, we describe possible plot layouts, sampling protocols for the trees, and measuring methods and instruments used, and give suggestions for data Quality Assurance, forest growth calculations, and data evaluations.
Vegetation-related response variables adopted in the ICP Forests are related to health, growth, phenology, and diversity. Their assessment and measurement is subject to errors, which need to be controlled and documented. To do this, data quality requirements (DQRs) and intercomparison exercises were implemented. During 2009 and 2010, 111–260 field crews took part in different exercises organized across Europe. Results revealed that, while for some variables (e.g., tree diameter, standing basal area, ozone injury, species diversity) DQRs were substantially achieved, problems still exist for other measurements/calculations (tree height, volume and increment, crown base height, crown symptoms identification and description). In some cases, achievement of DRQs was partly due to relaxed DQRs. While the recent progresses in Quality Assurance/Quality Control for field surveys are promising, further effort is necessary to sharpen DQRs, refine standard operating procedures, and reinforce training.
The growth of trees is a key ecological parameter of forests and thus of high importance as an indicator of forest condition in long-term forest monitoring. Forest growth can be easily and fairly inexpensively assessed on both intensive monitoring plots and large-scale plots. For intensive monitoring plots, we propose a hierarchical system of stem diameter measurements with simple manual growth assessments in regular multiannual intervals on all trees (periodic measurements), annual to weekly readings of permanently installed girth bands (permanent measurements) on a subset of trees, and electronically recorded dendrometer measurements with high-time resolution on a few selected trees (continuous measurements) for physiological measurements. For this, we describe possible plot layouts, sampling protocols for the trees, and measuring methods and instruments used, and give suggestions for data Quality Assurance, forest growth calculations, and data evaluations.
Vegetation-related response variables adopted in the ICP Forests are related to health, growth, phenology, and diversity. Their assessment and measurement is subject to errors, which need to be controlled and documented. To do this, data quality requirements (DQRs) and intercomparison exercises were implemented. During 2009 and 2010, 111–260 field crews took part in different exercises organized across Europe. Results revealed that, while for some variables (e.g., tree diameter, standing basal area, ozone injury, species diversity) DQRs were substantially achieved, problems still exist for other measurements/calculations (tree height, volume and increment, crown base height, crown symptoms identification and description). In some cases, achievement of DRQs was partly due to relaxed DQRs. While the recent progresses in Quality Assurance/Quality Control for field surveys are promising, further effort is necessary to sharpen DQRs, refine standard operating procedures, and reinforce training.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.