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Enregistrement W2058716808 · doi:10.1890/0012-9623-95.4.337

Diversity and Destructive Oscillations: Camerano, Elton, and May

2014· article· en· W2058716808 sur OpenAlexaff
Kevin S. McCann

Notice bibliographique

RevueBulletin of the Ecological Society of America · 2014
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePlant and Biological Electrophysiology Studies
Établissements canadiensUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésEcologySystems ecologyContext (archaeology)Theoretical ecologyPopulationGeographyBiodiversityBiologySociologyApplied ecology

Résumé

récupéré en direct d'OpenAlex

In a greatly simplified sense, the universe can be conceived as an enormous dynamical system governed by feedbacks that span scales up to, and including, the cosmos. Within this whole-universe perspective, ecology forms an extremely dynamic subset, replete with feedbacks that start from some of the smallest scales (DNA) and extend all the way to the scale of the whole planet. This dynamic volatility, and its accompanying multi-scale feedbacks, makes for a fascinating area of study. While excellent work in ecology has compartmentalized subdisciplines with great success (e.g., population ecology), I want to briefly consider here an area of ecology that attempts to conceptually tackle the ground across ecological subdisciplines, and asks how multi-scale feedbacks govern the dynamics of whole ecological systems. It is the intrepid who tackle such complexity, and yet the very nature of ecology has pushed many scientists to attempt a glimpse into the inner workings of the machinery that comprises a whole set of interacting species within an environmental context (i.e., a food web or ecosystem). In this short piece, I will discuss some of the pioneers of this scientific frontier and the viewpoints that have challenged, and inspired, us to consider ecosystems from a unified perspective. Ecologists have long pondered the interconnectedness of life, and the dynamical implications of this web of interactions. In an early contribution unearthed by Joel Cohen (1994), Lorenzo Camerano (1880) envisioned the ecological network as a massive set of interactions that, when perturbed, yield decaying oscillations that spread through a food web in a manner akin to the way sound resonates through a pipe organ. The interaction of many singular sound frequencies (oscillations) merge into a coherent spectrum of sound, with some frequencies muted and others magnified. It is intriguing that this description from a young naturalist was phrased so abstractly. Here, Camerano (1880) was referring to the spectrum of sound frequencies as a metaphor for the spectrum of population dynamic frequencies that are associated with any given interaction (Fig. 1). Intriguingly, later theoretical development in both population and food web ecology would begin to think about decomposing whole system dynamics into their inherent species frequencies (oscillations), as well as attempt to discern the rules that govern the interactions of the many frequencies that underlie a network. The math of sound waves, whereby waves can add and become more “destructive” (i.e., of greater amplitude), cancel each other out, or create entirely new spectra. … the balance of relatively simple communities of plants and animals is more easily upset than that of richer ones; that is more subject to destructive oscillations in population (Elton 1958). With this, Elton crystalizes the notion of an oscillation as a potentially destructive agent in a whole food web, and simultaneously suggests that a complex, diverse set of interactions may cancel such destructive oscillations in a manner not unlike the way sound waves can cancel each other. We will see that our modern view is not entirely different from this intuitive perspective. The stage was set for a suite of more mathematically trained biologists to run with these metaphors. In the 1970s, Robert May formally considered Elton's intuitive arguments—that is, that simple models were more unstable, while diverse models will be less prone to “destructive oscillations.” May's contributions stemming from this work have had an enormous and continuing impact on ecology. I often think that we, as scientists, can discover things because of our unique personal history. Robert May, for example, studied relatively simple, dynamically rich, nonlinear systems (May 1976); while simultaneously trying to piece the whole ecosystem together using an equilibrium perspective (i.e., the community matrix). This combination meant that his interpretation of the more static whole-systems matrix results was strongly influenced by his understanding of the nonlinear properties (e.g., oscillators) of more simple dynamical systems. This combined perspective led him to make several whole-system conjectures that have proven extremely valuable (e.g., that weak interactions and compartments may be pivotal to maintaining diverse functioning ecosystems). … the fallacy in the intuitive [diversity-stability] argument is that, the greater the size and connectance of a web, the larger the number of modes of oscillations it possesses, since each mode is as likely to be unstable as stable” (May 1973:75). In a sense, May had mentally decomposed the whole food web into a set of many coupled consumer-resource (C-R) oscillators, and argued that, all else equal, this allows us to understand the destabilizing potential of “unstructured” diversity. Specifically, diversity, so unstructured, ought to produce chains of wild, and destructive, coupled oscillators. While May's result seems hard to refute in randomly assembled systems, the results appear to change when interactions of different types are coupled together in a nonrandom manner. Much like Camerano's (1880) spectrum of sound, where sound waves can mute frequencies, we find that diversity accompanied by specific food web structures may not always inspire destructive oscillations, but rather may act to cancel out such destabilizing oscillations. More recent results, including the weak interaction effect, are really just extensions of this notion of coupled oscillators. Specifically, more modern results push this metaphor a little farther by asking how structure can “mute” or “excite” potentially destructive consumer resource oscillations. The weak interaction effect really just acknowledges that weak interactions can deflect energy away from a potentially destructive consumer resource oscillator (i.e., potential, here, means that if the interaction was isolated, it would oscillate violently). Thus, upon inspection, the modern result is really a rather modest extension, or unification, of the historical ideas of Camerano, Elton, and May. One, not all C-R interactions are oscillators (some C-R couplings are nondestructive) and, two, the position of a nondestructive interaction has the ability to mute or cancel the destructive capacity of another interaction.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,123
Score d'incertitude au seuil0,704

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,001
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 Opus0,009
Tête enseignante GPT0,174
Écart entre enseignants0,164 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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Même revueBulletin of the Ecological Society of AmericaMême sujetPlant and Biological Electrophysiology StudiesTravaux en français237 207