Distribution of the invasive species Canadian goldenrod (Solidago canadensis) in Värmland county, Sweden : Can the distribution be linked to certain types of land use or soil moisture?
Bibliographic record
Abstract
Invasive alien species (IAS) pose a serious threat to global ecosystems, economy and human and animal health. The spread of IAS leads to a global depletion of biological diversity, through homogenization of landscapes and reduced genetic variation within species. Canadian goldenrod (Solidago canadensis L.) is an IAS that occurs widely throughout most of Sweden and it is considered to be one of the country’s most problematic terrestrial IAS. The purpose of this study was to investigate the occurrence of the Canadian goldenrod in Värmland county, Sweden, in relation to land use type and soil moisture category. Species observation data was retrieved from the Analysis Portal for Biodiversity Data. National Land Cover Database (NMD) and SLU Soil Moisture Map were used to investigate which land cover and soil moisture classes Canadian goldenrod had been associated with. Results of this study shows that there is an association between Canadian goldenrod occurrence and land cover class, which implies that land cover seems to have an effect on the spread of the species. The area of land cover classes within reported observations of Canadian goldenrod was not proportional to the area of respective land cover classes within Värmland county. Land cover classes such as other open land, artificial surfaces and forests were most commonly found within Canadian goldenrod observations. This indicates that this species occurs with higher frequency on other open land and artificial surfaces, which corresponds with the literature findings. Moreover, the area of certain soil moisture class within reported observations of Canadian goldenrod was not proportional to the area of respective soil moisture class within Värmland. Among soil moisture classes, mesic-dry soil was most commonly found within goldenrod observations. This did not confirm the hypothesis that Canadian goldenrod occurs more commonly on wet-moist soils. The literature shows that this species has a great ability to adapt to different environments. The outcome of this study suggests that Canadian goldenrod might prefer certain land use categories more or less affected by human activity. This is consistent with previous studies about abundance and spread of invasive species and indicates that human activity is an important factor contributing to the spreading of IAS.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".