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Enregistrement W7061764026

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

2021· dissertation· en· W7061764026 sur OpenAlex

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Notice bibliographique

RevueIDEALS (University of Illinois Urbana-Champaign) · 2021
Typedissertation
Langueen
DomaineEngineering
ThématiqueAdvanced Power Generation Technologies
Établissements canadiensnon disponible
Organismes subventionnairesNational Aeronautics and Space AdministrationUniversité de MontréalNational Science Foundation
Mots-clésEcosystemVegetation (pathology)Functional ecologyThermodynamic systemThermodynamic processTerrestrial ecosystemWork (physics)Thermodynamic equilibrium
DOInon disponible

Résumé

récupéré en direct d'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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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,509
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,004
Tête enseignante GPT0,181
Écart entre enseignants0,177 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle