Planten als indicatoren voor pH en GVG II : Een vergelijking van het ITERATIO- en Wamelink-indicatorsysteem voor pH en GVG vanuit ecologisch perspectief
The Netherlands Environmental Assessment Agency, Wageningen Environmental Research (WENR)/Statutory Research Tasks Unit for Nature & the Environment, Statistics Netherlands and the provinces use indicators to monitor environmental changes in pH and average spring groundwater levels (GVG). In 2022, WENR conducted a comparative study of indicator systems to assess the methodological disparities in the trends over time resulting from the data. The study focused on ecological interpretations of differences and tracing the irregularities back to the underlying data. Reliable use of both systems is critically dependent on high-quality vegetation data. Inconsistencies in National Flora Monitoring Network (LMF) datasets, including variations in locations and moss recording, even within time series, heavily impact trend analyses. Around half of the permanent quadrant series is presently unreliable for the intended analyses, emphasising the need for stringent data quality criteria to elucidate trends in the future.
| Main Authors: | , , , , , |
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| Format: | External research report biblioteca |
| Language: | Dutch |
| Published: |
WOT Natuur & Milieu
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| Subjects: | Life Science, |
| Online Access: | https://research.wur.nl/en/publications/planten-als-indicatoren-voor-ph-en-gvg-ii-een-vergelijking-van-he |
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| Summary: | The Netherlands Environmental Assessment Agency, Wageningen Environmental Research (WENR)/Statutory Research Tasks Unit for Nature & the Environment, Statistics Netherlands and the provinces use indicators to monitor environmental changes in pH and average spring groundwater levels (GVG). In 2022, WENR conducted a comparative study of indicator systems to assess the methodological disparities in the trends over time resulting from the data. The study focused on ecological interpretations of differences and tracing the irregularities back to the underlying data. Reliable use of both systems is critically dependent on high-quality vegetation data. Inconsistencies in National Flora Monitoring Network (LMF) datasets, including variations in locations and moss recording, even within time series, heavily impact trend analyses. Around half of the permanent quadrant series is presently unreliable for the intended analyses, emphasising the need for stringent data quality criteria to elucidate trends in the future. |
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