The ecological dynamics of early and modern soft-bodied marine animal ecosystems
Notice bibliographique
Résumé
Summary The first widespread animals constitute the Avalon assemblage (574–560 million years ago), largely preserved in the late Ediacaran rocks of Newfoundland, Canada, and Charnwood Forest, Leicestershire, UK. The Avalon assemblage represents the pivotal shift from the microbially-dominated Neoproterozoic world to the complex, animal-mediated ecosystems of the Phanerozoic. Using these fossils to understand the evolution of animals is challenging because of few homologies with extant organisms. However, these soft bodied, enigmatic animals were preserved in exceptional settings as in situ, near-census communities, allowing the study of their population and community ecology, and thus their evolutionary drivers. Modern ecosystems are also navigating a critical transition; in the past century, anthropogenic changes imposed on the Earth system have caused a biodiversity crisis. Few ecosystems are as impacted by anthropogenic change as tropical coral reefs which are important because they provide key services to humans (provision of food stocks, protection from storms) and support ~25% of all marine biodiversity. Reefs are changing in composition with changing climate. In particular, besides algae, soft corals are also increasing in prevalence, but little is known about how soft corals impact the ecological dynamics, and thus the services and biodiversity, of coral reefs. Crucially, both the Avalon biota and the soft corals are potentially key players in transitional moments in the extinct and modern Earth system, respectively. In Chapter 1, I investigated ecological succession in the Avalon and found that community assembly is dependent on dispersal processes leading to distinct “community types” which do not change as the communities mature, and that epifaunal tiering is present depending on the morphology of dominant taxa. However, I also found that the taxa that underpin tiering processes are the first to go extinct, indicating over-specialisation in the Avalon. In Chapter 2, I interrogated the role of secondary successions and disturbance-adaptation in community assembly in the Avalon. I found that fragmentary reproductive modes provided a successful post-disturbance re-colonisation strategy, but that survival of disturbance events by exceptionally large organisms did not pose local recolonisation advantages. Together, these chapters highlight the importance of long-distance dispersal and disturbance in early animal communities. In Chapter 3, I investigated the population ecology of a soft coral-dominated reef in Fiji and found that depth, dispersal limitation, and small-scale habitat variations were the key drivers of population dynamics. In Chapter 4, I elucidated the impacts of soft corals on the ecosystem dynamics of Fijian reefs. I found that the dominance of soft corals versus scleractinians was largely driven by depth, and that ecosystem dynamics are markedly different on reefs where soft corals are dominant. I also found that soft coral systems had significantly lower biodiversity than scleractinian systems, highlighting the potential impact of increasing soft corals in future climate change scenarios. In Chapter 5, I synthesised a comparison of these extinct and extant systems, highlighting the importance of ecological innovation at the dawn of animal life and the incipient regression of ecological actors in benthic ecosystems driven to collapse by anthropogenic climate change.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».