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Record W2010945036 · doi:10.14430/arctic4344

Ecological and Evolutionary Consequences of Experimental Warming in a High Arctic Tundra Ecosystem

2013· article· en· W2010945036 on OpenAlexvenueaboutno aff
Anne D. Bjorkman

Bibliographic record

VenueARCTIC · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsTundraArctic vegetationArcticEcologyEcosystemPhenotypic plasticityBiologyClimate changeAdaptation (eye)PopulationArctic foxGlobal warmingEnvironmental changeBiodiversityGeography

Abstract

fetched live from OpenAlex

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,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.237
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2013
Admission routes2
Has abstractyes

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