Impacts of glyphosate-based herbicides on the reproduction of forest understory plants and visitation by bumble bees (Bombus spp.)
Bibliographic record
Abstract
Glyphosate is the active ingredient in many common broad-spectrum herbicides used in forestry operations to reduce the presence of unwanted, competitive plant species. As a result of aerial applications, non-target forest understory plants receive a sublethal dose of glyphosate-based herbicides (GBH) and develop abnormalities such as changes in reproductive morphology. Glyphosate inhibits the enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) of the shikimate pathway which produces the crucial aromatic amino acids for plant growth and other biochemical processes. There is very limited information on the long-term impacts of GBH on forest understory plant reproduction, fruit production, and vegetation production. Additionally, there are limited resources that discuss the impacts of GBH on the detection and visitation by bumble bees (Bombus spp.). The objectives of this research were to: 1) quantify glyphosate residues present in Chamaenerion angustifolium flowers and in samples of Bombus spp. found in areas treated with GBH; 2) quantify and compare stamen fluorescence of C. angustifolium (fireweed) flowers from GBH treated and untreated areas in operational forestry settings; 3) quantify the abundance and occurrence of different Bombus spp. in cutblocks one- and two-years post application compared to control sites; 4) quantify and compare the visitation of C. angustifolium by Bombus spp. in glyphosate-based herbicides treated and untreated plants; and 5) quantify and compare pollen viability, leaf-out, and fruit production in a variety of important food-producing forest plants in glyphosate-based herbicide treated and untreated sites in operational settings. I found that the amount of glyphosate residue present in floral tissues remained similar between one- and two-years post treatment. I also found that glyphosate-based herbicides have an impact on the fluorescence of male reproductive structures of forest understory plants. There was a reduction in the fluorescence emission of blue spectral wavelengths of anthers and pollen due to glyphosate-based herbicide treatment could lead to a reduction in detection and visitation by bumble bees as the blue photoreceptor in their compound eyes will be less likely to detect a flower for the bee to be drawn to it. Additionally, the increase in hue and saturation indicates that the presentation of the dominant wavelength present may no longer be the blue spectral wavelength. My findings indicate that glyphosate-based herbicides do not have an impact on the amount of time an individual bumble bee spends foraging on a flower. Glyphosate treatment influences floral characteristics related to bumble bee detection of flowers during foraging. This affects the number of bees present, but glyphosate-based herbicides do not impact how long an individual bumble bee visits a flower nor foraging effort once they are on a flower. The reduction in pollen viability seen in C. angustifolium one-year post-application is similar to pollen viability seen in control samples by year two after glyphosate-based herbicide applications, indicating that GBH initially have a large impact on pollen quality but there is a recovery in pollen quality in C. angustifolium over time. Lastly, my findings indicate that application of GBH resulted in a reduction of leafout and fruit production of multiple forest plants one-year post-glyphosate treatment. The reality is that GBH may have greater implications on the ecological roles of fruit-producing plants and for the availability of food for animals in forest cutblocks than was previously acknowledged.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".