Integraal Meetpunt Lheebroekerzand - NederlandData van 1997-1998-1999
Bibliographic record
Abstract
The International Cooperative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems (ICP-IM) is an extensive monitoring programme with a large number of chemical, physical and biological variables. In this report the results of the last three years of monitoring in the Lheebroekerzand, Drenthe, carried out in the framework of the United Nations Economic Commission for Europe (UN-ECE) are presented. With the data collected in the field and the measurements in the laboratoria, a database is build up containing environmental information in relation to possible effects of air pollution on ecosystems for Europe and Canada. The objectives of this report are to collect and present the 1997, 1998 and 1999 monitoring data of the Netherlands, to inform participating organizations and volunteers and to close the period of monitoring by RIVM in the Lheebroekerzand. In the period from 1997 to 1999, the biological part of the integrated monitoring programme consisted of a regular inventory of vegetation, birds, epiphytes, leafminers and butterflies in the monitoring area, as well as inventories of the aquatic macrofauna present in the moorland pool Kliplo and observations on the performance of pine trees. The chemical-physical part included meteorological variables like temperature, humidity, the amount of precipitation and irradiation, together with chemical analysis of organic and inorganic compounds in air, precipitation, leaves, needles, mosses, soil, soilwater, groundwater and pool water. Comparing the data of chemical variables of different subprogrammes of 1997, 1998 and 1999 no clear trends can be recognized. However the monitored concentrations for SO4S in air, throughfall, stemflow and lake water seem to diminish in time. For concentrations of NO3N and NH4N in air and lake water the same conclusion can be drawn. This decrease in concentration can not be confirmed in rainwater. Concerning biological variables (Inventory of birds, Inventory of plants, Hydrobiology of lakes, Forest damage, Trunk epiphytes, Leafminers and Butterflies) nothing can be said about possible trends so far. However, it seems that the number of individuals for birds, macrofauna, leafminers and butterflies is decreasing in time. More years of sampling and analysis are required to draw conclusions on the applicability of these data. A data-analysis of all available data of the Lheebroekerzand is carried out and will be published in a separate report.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.016 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".