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Record W7061764026

Role of the thermodynamic regime in ecosystem self-organization and its response to human perturbations

2021· dissertation· en· W7061764026 on OpenAlex

Why this work is in the frame

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

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2021
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
FundersNational Aeronautics and Space AdministrationUniversité de MontréalNational Science Foundation
KeywordsEcosystemVegetation (pathology)Functional ecologyThermodynamic systemThermodynamic processTerrestrial ecosystemWork (physics)Thermodynamic equilibrium
DOInot available

Abstract

fetched live from OpenAlex

As the rate and scale of human activities increase throughout the world, the structure and function of Earth systems are consequently altered. Human-induced direct and indirect perturbations, such as changes in atmospheric temperature or the burning or logging of vegetation, alter the thermodynamic environment in which ecosystems operate. Yet, the ecosystem-level vegetation response is coupled to its thermodynamic regime, and changes therein are still relatively unknown. Thus, a framework for characterizing and understanding the self-organization of ecosystem vegetation from the thermodynamic perspective is needed to understand its emergent response to natural and human-induced perturbations.\n\nThe goals of this thesis are to (i) develop a thermodynamic framework to characterize the existence of emergent vegetation structure at any given location, and (ii) utilize this framework to gain insight into the thermodynamic response of ecosystem behavior to direct alteration of vegetation structure through human activities. Vegetation structure, which refers to the number and type of plant functional groups comprising an ecosystem, is the result of self-organization, or the spontaneous emergence of order from random fluctuations. By treating ecosystems as open thermodynamic systems, we use a multi-layer canopy-root-soil model to calculate their thermodynamic properties -- such as energy, entropy, and work -- for field sites across various climates, vegetation structures, and disturbance regimes.\n\nWe first ask the question: Why do ecosystems exhibit a prevalence of vegetation structure consisting of multiple functional groups? In other words, does the coexistence of multiple functional groups provide a thermodynamic advantage over the individual functional groups that each ecosystem comprises. From this work, we conclude that ecosystems self-organize towards the multiple functional group vegetation structure due to greater fluxes of entropy, work, and work efficiency. Together, these characteristics comprise the concept of thermodynamic advantage.\n\nSince multiple functional groups do not exist everywhere in nature, we study and analyze the thermodynamic basis for the existence of ecosystems with a single functional group vegetation structure -- in particular, the region beyond the treeline in alpine and Arctic ecosystems. We therefore ask the question: Since the existence of multiple vegetation groups provides a thermodynamic advantage, is the existence of only a single functional group a result of a thermodynamic limitation? This analysis using counterfactual scenarios comprising of hypothetical trees existing beyond the treeline identifies two conditions of thermodynamic infeasibility. We find that the existence of trees beyond the treeline would result in negative work, and in some cases, net leaf carbon loss from the ecosystem, both comprising a thermodynamic infeasibility condition.\n\nBased on these two components, we conclude that an ecosystem will self-organize towards the most advantageous vegetation structure made possible by thermodynamic feasibility.\n\nThese concepts of thermodynamic feasibility and thermodynamic advantage are then applied to study ecosystems perturbed by human activities through logging and fire. Findings indicate that a forest that is consistently logged is held in a sub-optimal state with lower fluxes of entropy and work efficiency than an undisturbed forest, meaning that human activities prevent the ecosystem from reaching its most thermodynamically advantageous vegetation structure. However, for controlled burns on a tallgrass prairie the advantageous vegetation structure is dependent on the frequency of the burn. Overall, logging events force forests into a disadvantageous vegetation structure while the frequency of burn events determines and reinforces the resulting vegetation structure.\n\nThis thesis develops a novel framework for analyzing ecosystems as thermodynamic systems driven by thermodynamic feasibility and thermodynamic advantage. Further, by characterizing the behavior of vegetation upon direct alterations to its structure, this work provides a foundation for understanding and predicting the thermodynamic response of vegetation structure to emergent climate scenarios that could impact the thermodynamic environment in which ecosystems operate.

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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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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