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Functional complementarity of Douglas‐fir ectomycorrhizas for extracellular enzyme activity after wildfire or clearcut logging

2010· article· en· W2159372737 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFunctional Ecology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyDisturbance (geology)EcosystemEcologyEctomycorrhizaNutrientLoggingMycorrhizaSymbiosis

Abstract

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Summary 1. Clearcut logging results in major changes in ectomycorrhizal fungal communities, but whether this results in the loss of key functional traits, such as those associated with nutrient acquisition from soil organic matter, is unknown. Furthermore, little is known about the importance of resource partitioning in structuring ectomycorrhizal fungal communities following disturbance because most research on these communities has focussed on life history strategies. By studying functional traits, such as activities of enzymes involved in the catabolism of organic macromolecules in soil, we can determine whether a physiological potential for resource partitioning exists in pioneer ectomycorrhizal communities and whether severe disturbance affects these important ecosystem services. 2. We used activities of key hydrolytic enzymes in the ectomycorrhizospheres of Douglas‐fir seedlings regenerating at clearcut sites as a functional trait to test whether these differed from those at recent wildfire sites or control forests. We sampled the most abundant types of ectomycorrhizas from 16‐month‐old seedlings from sites exposed to (i) low or (ii) high severity wildfire, (iii) sites that had been clearcut logged in the same year as the fire and (iv) sites that contained control stands of mature Douglas‐fir. We expected differences in activities among ectomycorrhizas sampled from different disturbance treatments and among those formed by different fungal species. 3. In spite of large differences in soil chemistry, activities of acid phosphomonoesterase, N ‐acetylglucosaminidase and β‐glucosidase, when averaged among the ectomycorrhizas sampled per site, were not affected by disturbance agent. However, activities varied up to sixfold among mycorrhizospheres of different fungal species on the same seedling. Multivariate analysis also indicated some consistent differences in enzyme profiles among ectomycorrhizas formed by specific fungal species, independent of treatment. 4. The finding that ectomycorrhizal fungal communities exposed to different disturbance agents are functionally similar with respect to the activities of three mycorrhizosphere enzymes supports the conclusion that complementarity exists among ectomycorrhizal fungi. The substantial physiological diversity among ectomycorrhizal fungi at the scale of an individual seedling’s root tips, especially at control mature forests, indicates the potential for resource partitioning within the ectomycorrhizal community and access to a wider range of nutrient sources by each seedling. 5. Functional similarity among ectomycorrhizal fungal communities across a disturbance severity gradient suggests that dry interior Douglas‐fir forests are resilient to severe disturbances such as high severity wildfire and clearcutting with forest floor removal. Moreover, our results suggest that current harvesting practices emulate natural disturbances with respect to site‐level mycorrhizosphere enzyme activity. The large variation in activity among fungal species, however, indicates that a substantial simplification of the fungal community through other perturbations, as expected with climate change, has the potential to affect ecosystem function.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0730.000

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 head0.025
GPT teacher head0.231
Teacher spread0.205 · 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