MétaCan
Menu
Back to cohort
Record W2309554912 · doi:10.14288/1.0093887

Ecosystem units, their classification, interpretation and mapping in the University of British Columbia research forest

2010· article· en· W2309554912 on OpenAlexaboutno aff
Karel Klinka

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsForest ecologyEcosystemGeographyInterpretation (philosophy)Environmental resource managementForestryEcologyEnvironmental scienceComputer scienceBiology

Abstract

fetched live from OpenAlex

A synecological study was conducted at the University of British Columbia Research Forest, Haney, British Columbia. The objectives of the" study were to classify and map forest ecosystems occurring in the area and to provide interpretations as to their use for land and silvi-cultural management. One hundred and fifty eight sample plots were established, each plot representing a sample of an ecosystem individual—biogeocoenosis. Following an analysis of the vegetation and its environment by the phytosociological techniques of the Zürich-Montpellier School as applied by Krajina, and the associated soils, a synthesis of similar plots into abstract units was carried out. The ecosystems were classified according to the system of synecological classification developed by Krajina and his students. Biogeoclimatic and synsystematic units were floristically and environmentally described emphasizing environmental factors and processes which control their distribution and development. Lower synsystematic units were grouped to form management units for which relatively uniform management procedures and techniques could be proposed. By analyzing the properties of vegetation and soils, suitability of ecosystems for wood production was assessed along with suggested silvicultural systems for thirteen management units. The classification was verified by investigations to substantiate ecological significance of the differentiated units. These involved chemical analysis of seepage water, foliage samples of under-story vegetation, and humus layers in the Coastal western hemlock biogeoclimatic zone. Chemical concentrations in foliage of understory vegetation increased progressively along moisture and nutrient gradients. Characteristic species for the Pseudotsugetalia menziesii had the lowest concentrations, those for the Tsugetalia heterophyllae had the intermediate concentrations and finally those for the Thujetalia plicatae had the highest concentrations of metallic elements and nitrogen. The characteristic species for the ecosystem units appear to have a high indicative value in assessing their edatopes. Chemical concentrations in seepage water were found to vary with the season, forest stand type (based on age) and biogeocoenotic units. Seepage water, supplying the ecosystems with additional moisture and nutrients, affects soil development through increased decomposition and mineralization of organic matter. These habitats consequently support very productive ecosystems of the Thujetalia plicatae. Thus, seepage water can be considered as a part of the ecosystem which counteracts leaching. The results of these analyses supported the applied methods of synecological classification. The distinguished ecosystem units can be further characterized by specific indices of properties which were not used in the original classification procedure. On the basis of these synecological studies a synecological map of the 5,151 ha UBC Research Forest at the scale 1:12,000 was prepared by a combination of ground survey and aerial photographic interpretation. Ecosystem type was employed as a mapping unit. The mapping units were designated by selected colors and numerical symbols. In conclusion, it became apparent that the classification of ecosystems into the system of synecological classification, using the described methods, can provide not only a better understanding of forest ecosystems but also a basis on which to differentiate management practices.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.186
Teacher spread0.169 · 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 teacher head, 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

Citations26
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicRangeland and Wildlife ManagementFrench-language works237,207