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Record W6978240407 · doi:10.7939/r3-cera-er21

Temporal dynamics of plant-soil feedbacks and community consequences during Bromus inermis invasion

2021· dissertation· en· W6978240407 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2021
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBromus inermisEcosystemInvasive speciesContext (archaeology)Plant communityIntroduced speciesExtinction (optical mineralogy)Patch dynamics

Abstract

fetched live from OpenAlex

Invasive plant species often come to dominate the community where they have become introduced, posing a serious threat to plant diversity and ecosystem functions. Yet, the long-term dynamics and impacts of invasive species do not necessarily remain constant and may attenuate over time due to stabilizing mechanisms of plant-soil feedbacks. In this study, I first explored temporal dynamics of plant-soil feedbacks for the invader Bromus inermis (Leyss.) to determine whether invasive species accumulate negative plant-soil feedbacks over time. To fully capture all of the variations in plant-soil feedbacks for B. inermis, I used the combined strategy pairing field study with controlled conditions of the greenhouse environment to estimate B. inermis dynamics in natural systems while separating the potential drivers of plant-soil feedbacks. I found that B. inermis experience weakly negative to neutral plant-soil feedbacks in the early stages of invasion, but develops strongly negative plant-soil feedbacks over time. Contrary to our expectations, these shifts in the strength and directions of plant-soil feedbacks for B. inermis were not fully mediated by soil microbial communities of invaded areas. Second, I tested for environmental context dependence of plant-soil feedbacks for B. inermis by estimating changes in resource availability of invaded areas in relation to B. inermis residence time. The resource availability of B. inermis-invaded areas was at least partially associated with temporal dynamics of plant-soil feedbacks, where the increase in phosphorus availability and lower light access resulted in stronger, more negative plant-soil feedbacks for B. inermis. Last, I evaluated whether accumulation of negative plant-soil feedbacks for B. inermis can facilitate resident species recovery in invaded areas and result in lower B. inermis performance and dominance over time. No decline in B. inermis performance has been observed. Instead, B. inermis increased in shoot biomass production and allocated towards more vegetative reproduction under the effect of stronger negative plant-soil feedbacks. I also found that accumulation of negative plant-soil feedbacks for B. inermis was positively associated with recovery of species diversity but other factors of invaded areas can overcome the effect of plant-soil feedbacks and further mediate negative impacts of B. inermis invasion. The responses observed in this study suggest that at least in Alberta, B. inermis may accumulate stronger negative plant-soil feedbacks over time while still being dominant within a community. Yet, environmental context dependence of these plant-soil feedbacks can help us to predict under which conditions invasive species tend to experience more negative plant-soil feedbacks, allowing us to take advantage of invasive forage species while preventing/reducing their impact on biodiversity.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.168
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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