The resilience of Polar Collembola to climate change
Notice bibliographique
Résumé
Polar Collembola have adapted over millions of years to an environment that is changing faster than any other on earth. Globally, Collembola (springtails) are among the most abundant and widely-distributed arthropods and are key components of species-poor polar ecosystems. Understanding the resilience of polar collembola to climate change is therefore an urgent research priority. Here we explore the links between genetic diversity and physiology in shaping the resilience of polar Collembola to climate change. I have reviewed the resilience of polar Collembola considering genetic diversity, behavioural avoidance and physiological tolerances along with an examination of the potential impacts of biotic interactions. I also explored potential recovery dynamics with reference to temperate taxa and colonisation patterns of new habitat exposed by glacial retreat. This review illustrated that polar Collembola exhibit a suite of traits that have enabled their survival in extreme conditions and may serve as pre-adaptations to changing conditions. However, if resistance capacities are insufficient, complete community level recovery following disturbances is exceedingly slow, especially among Collembola that inhabit deeper microhabitats within the soil column (deeper-dwelling). Overall, it appears that deeper-dwelling species that fail to resist climate changes may not recover in ecologically realistic timescales, especially given the projected pace of climate changes. The largest spatial scale study and analysis of the genetic diversity of Collembola from the central Canadian High Arctic location of Cambridge Bay (Ikaluktuktiak) was undertaken to refine species identifications, examine levels of population diversity, and explore the role of geological processes and glacial dynamics in shaping the current Arctic collembolan fauna. I identified 68 Barcode Index Numbers (BINs, as a proxy for species diversity) representing an estimated 43 morphological species, with 29 BINs unique to Cambridge Bay. The geographic linkages between populations across the High Arctic supported hypothesised east to west dispersal patterns in accordance with prevailing ocean currents. The physiology of five of the most abundant surface-active species from the Canadian High Arctic was explored to determine how resistant local species are likely to be to rising temperatures and increasing drought pressure. Some individuals were found to exhibit remarkably high heat tolerances (>40 ℃) with only limited cold tolerance capacities (64 % had supercooling points higher than -10 ℃). Survival rates in response to a desiccation stress were also variable among individuals (range: 1.0-13.5 hrs). This indicated that Arctic Collembola may be pre-adapted to a level of climate warming. I also explored the specific relationship between two populations of the Antarctic collembolan Gomphiocephalus hodgsoni found in the largest ice-free area in continental Antarctica, McMurdo Dry Valleys. I tested whether the genetic variation found between coastal and inland individuals of G. hodgsoni corresponded with differences in physiological tolerances of hot and cold temperatures was tested. Individuals from the population nearest the warmer coastal site had higher upper thermal limits (mean CTₘₐₓ 31.3 ℃) compared to individuals from the more inland population (mean CTₘₐₓ 27.2 ℃). However, these differences in heat tolerance weren’t significant until accounting for microhabitat temperature at time of collection (site + microhabitat at time of collection, p=0.0029). Coastal individuals also had higher mean supercooling points (coastal: -14.3 ℃; inland: -22.6 ℃, p=0.011). Under climate change associated warming warm-adapted populations may have a selective advantage relative to more cold adapted individuals, leading to changes in population genetic structure, a decline in genetic diversity, and associated decline in resilience. Collectively my thesis chapters have identified that the biggest threats to the ongoing survival of polar Collembola are sustained heat stress, desiccation stress, changing biotic interactions, and the arrival and spread of invasive species. Despite this, polar Collembola exhibit considerable levels of genetic diversity and physiological tolerances that may make them pre-adapted to climate change induced environmental changes.
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 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 | 0,000 |
| Communication savante | 0,001 | 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) | 0,001 | 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 ».