Ecological and Evolutionary Consequences of Experimental Warming in a High Arctic Tundra Ecosystem
Notice bibliographique
Résumé
Over the past 100 years, global temperatures necessary to maintain Arctic species, have risen by an average of 0.85°C (IPCC, 2013). Rapid adaptation to environmental change has already This trend is especially pronounced in the Arctic, been described in some species. The critical photoperiod where temperatures have risen by 2°C over the past 50 years of northern populations of pitcher plant mosquitoes ( Wyeo alone and are expected to rise an additional 2°-5°C by the myia smithii) has shifted towards that of more southern end of this century (ACIA, 2005). This rapid increase in populations, thus lengthening the breeding season for these temperature is expected to have wide-ranging implications populations (Bradshaw and Holzapfel, 2001). In the Yukon, for Arctic ecosystems, including changes in biodiversity, evolutionary adaptation accounted for 13% of an observed ecosystem functioning, and nutrient cycles. The future of shift in parturition date for red squirrels (Tamiasciurus hud Arctic ecosystems will depend on three factors: the extent sonicus) (62% was a result of phenotypic plasticity) (Reale to which individuals can adjust to warmer temperatures et al., 2003; Berteaux et al., 2004). In plants, evolution in through phenotypic plasticity, the rate of immigration of response to increased drought was detected in a population species from southern latitudes, and the rate at which evoof Brassica rapa after only a few generations (Franks et lutionary adaptation at the species level can take place in a al., 2007). However, the vast majority of studies describing rapidly changing environment (Aitken et ah, 2008; Gienapp observed trait shifts in response to climate change provide et ah, 2008). In essence, if species cannot adjust to warmer no evidence of whether these shifts are plastic or adaptive temperatures in situ (phenotypic plasticity), they must (Parmesan and Yohe, 2003; Gienapp et ah, 2008). move, adapt, or die. Migration in response to warming temperatures has also Widespread changes in the Arctic are already underbeen widely documented. In the United Kingdom, 63% of way. Recent syntheses of plant community composition evaluated butterfly species have experienced northward data have shown that some functional groups, particurange shifts over the past century (Parmesan et ah, 1999). larly shrubs and graminoids, have responded positively to Similarly, British bird species have experienced an aver warming, while others, including lichens, have declined age northward range shift of 18.9 km (Thomas and Len (Elmendorf et ah, 2012). This shrubification of the Arctic non, 1999). In the Arctic, a majority of surveyed sites show is likely to have important consequences for the herbivore evidence of northward tree line advancement (Harsch et community and to alter snow distribution, duration, and ah, 2009). In a meta-analysis of data from 1700 plant and albedo effects (Myers-Smith et ah, 2011). Individual species animal species worldwide, Parmesan and Yohe (2003) have also shown changes in response to warming. Plants described an average northward range shift of 6.1 km (or in areas of rapid warming often respond by flowering and 6.1 m upward in elevation) per decade across all species, senescing earlier, although responses vary substantially by Although migration is perhaps the most widely discussed location and growth form (Oberbauer et ah, 2013). of the three climate-change responses, it is far from cer Despite a growing body of evidence that plants are tain that species will be able to track their optimal climate changing in response to warming temperatures, little is northward as the climate warms. Predicted rates of future known about the mechanisms behind these changes. Clasclimate change are much greater than those of historical sical studies of Arctic species have demonstrated that changes; species will therefore be required to track changes although individual populations show a high degree of in climate at speeds 100 times those of historical migra phenotypic plasticity, adaptation to local conditions was tions (Davis, 1989; Aitken et al., 2008). In addition, poten also widespread (Mooney and Billings, 1961). This genetic tial migration pathways have been considerably fragmented diversity within the species as a whole could become by human land use, especially agriculture and residential important as environmental conditions change. If plastic settlement (McCarty, 2001). These obstacles represent a responses are not sufficient to keep up with the rapid rise in further barrier to species dispersal and migration. Finally,
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 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 tête enseignante, 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 ».