MétaCan
Menu
Back to cohort
Record W2950708120 · doi:10.82308/51856

Integrating metaecosystem theory with ecological stiochiometry

2014· article· en· W2950708120 on OpenAlexfundno aff
Justin N. Marleau

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Ecological Systems Analysis
Canadian institutionsnot available
FundersFonds Québécois de la Recherche sur la Nature et les TechnologiesAgence Nationale de la RechercheNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsEcological stoichiometryEcologyEcosystemEcological systems theoryTrophic levelEcological networkTheoretical ecologyComputer scienceBiologySociologyPopulation

Abstract

fetched live from OpenAlex

Extending and integrating ecological concepts and theories can provide new solutions for difficult ecological problems. The ecosystem concept and ecosystem ecology theory have seen important developments through the elaborations of metaecosystem theory, which extends the ecosystem concept through spatial flows of energy, materials and organisms between interconnected ecosystems, and ecological stoichiometry, which extends ecological energetics by examining multiple chemical balances of substances in ecological interactions. However, these two extensions of ecosystem ecology theory have not been brought together in any form. In this thesis, I first extend both ecological stoichiometry and metaecosystem theory, and then integrate them in order to clarify difficult ecological concepts and to provide new solutions to ecological problems.My overall approach is to develop mathematical models to formally articulate ecological concepts such as nutrient colimitation, stoichiometric imbalances and metaecosystem connectivity within the frameworks of ecological stoichiometry and metaecosystem theory. First, I present a parameterized stoichiometric ecosystem model that examines the relationship between mechanisms and phenomenology of nutrient colimitation, and how the mechanisms may interact with stoichiometrically imbalanced trophic interactions. I show that there are no clear relationships between mechanisms and phenomena, and that the mechanisms of colimitation are key in determining ecological dynamics and functioning.I then examine in a spatially-explicit model how the connectivity of a metaecosystem and the relative movement rates of nutrients and organisms can drive dynamics of spatially perturbed metaecosystems. I show that the eigenvalues of the matrix that describes metaecosystem connectivity can be used to predict the spatial dynamics of a metaecosystem and the kinds of dynamics present depends heavily on relative movement rates. Lastly, I bring metaecosystem theory and ecological stoichiometry together in a spatially-explicit stoichiometric metaecosystem model to examine how spatial flows of nutrients and organisms can act as a mechanism to cause nutrient colimitation at local and regional scales. The model indicates that nutrient colimitation can be caused by spatial flows and this mechanism can be used to explain many confounding patterns in colimited growth responses found in the empirical literature.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.200
Teacher spread0.191 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)Same topicSustainability and Ecological Systems AnalysisFrench-language works237,207