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Acceleration of vegetation phenological changes

Name: Acceleration of vegetation phenological changes
Creator: Min Chen
Keywords: 0106 biological sciences, Climate Change, Acceleration, 010501 environmental sciences, 15. Life on land, 010603 evolutionary biology, 01 natural sciences, 01050102 Sanitation/Water pollution, 13. Climate action, 01060301 Forests/Habitats

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 25 Sep 2022Publisher:WileyJournal:Global Change Biology, volume 28, pages 7,159-7,160 (issn: 1354-1013, eissn: 1365-2486,

Authors: Min Chen;

doi: 10.1111/gcb.16430

pmid: 36102621

pmc: PMC9826447

Acceleration of vegetation phenological changes

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Abstract

AbstractPiao et al. (2022) presents an interesting study on vegetation phenology from a novel angle. The study examined the speed of canopy development and senescence, or the “acceleration of vegetation phenological changes”, and investigated its relationship with the trend of vegetation greening/browning and the underlying climate driving factors. It is an important contribution to the understanding of vegetation response to climate change, and may inspire new directions of vegetation phenology research.

Related Organizations

University of Wisconsin–Oshkosh
United States
University of Wisconsin–Oshkosh
United States

Keywords

Climate Change, Acceleration, Commentary, Seasons, Ecosystem

Impact byBIP!

	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).	1
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average