
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Global fading of the temperature–growth coupling at alpine and polar treelines

Global fading of the temperature–growth coupling at alpine and polar treelines
AbstractClimate warming is expected to positively alter upward and poleward treelines which are controlled by low temperature and a short growing season. Despite the importance of treelines as a bioassay of climate change, a global field assessment and posterior forecasting of tree growth at annual scales is lacking. Using annually resolved tree‐ring data located across Eurasia and the Americas, we quantified and modeled the relationship between temperature and radial growth at treeline during the 20th century. We then tested whether this temperature–growth association will remain stable during the 21st century using a forward model under two climate scenarios (RCP 4.5 and 8.5). During the 20th century, growth enhancements were common in most sites, and temperature and growth showed positive trends. Interestingly, the relationship between temperature and growth trends was contingent on tree age suggesting biogeographic patterns in treeline growth are contingent on local factors besides climate warming. Simulations forecast temperature–growth decoupling during the 21st century. The growing season at treeline is projected to lengthen and growth rates would increase and become less dependent on temperature rise. These forecasts illustrate how growth may decouple from climate warming in cold regions and near the margins of tree existence. Such projected temperature–growth decoupling could impact ecosystem processes in mountain and polar biomes, with feedbacks on climate warming.
- Lomonosov Moscow State University Russian Federation
- Sukachev Institute of Forest Russian Federation
- Xishuangbanna Tropical Botanical Garden China (People's Republic of)
- Université Laval Canada
- Moscow State University of Fine Chemical Technologies Russian Federation
550, climate warming; forest limit; growth model; mountain ecosystems; tree rings; Climate Change; Cold Temperature; Temperature; Ecosystem; Trees, Climate Change, :Zoology and botany: 480 [VDP], VDP::Zoologiske og botaniske fag: 480, ta1172, Temperature, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, 551, Trees, Cold Temperature, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, VDP::Zoology and botany: 480, ta1181, :Zoologiske og botaniske fag: 480 [VDP], Ecosystem
550, climate warming; forest limit; growth model; mountain ecosystems; tree rings; Climate Change; Cold Temperature; Temperature; Ecosystem; Trees, Climate Change, :Zoology and botany: 480 [VDP], VDP::Zoologiske og botaniske fag: 480, ta1172, Temperature, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, 551, Trees, Cold Temperature, [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, VDP::Zoology and botany: 480, ta1181, :Zoologiske og botaniske fag: 480 [VDP], Ecosystem
2 Research products, page 1 of 1
- 2011IsAmongTopNSimilarDocuments
- 2011IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).61 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
