气候变化领域集成服务门户(CCPortal): Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning

CCPortal

DOI	10.1016/j.rse.2020.111749
	Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning
	Treharne R.; Bjerke J.W.; Tømmervik H.; Phoenix G.K.
发表日期	2020
ISSN	00344257
卷号	243
英文摘要	Rapid climate change in Arctic regions is resulting in more frequent extreme climatic events. These can cause large-scale vegetation damage, and are therefore among key drivers of declines in biomass and productivity (or “browning”) observed across Arctic regions in recent years. Extreme events which cause browning are driven by multiple interacting climatic variables, and are defined by their ecological impact – most commonly plant mortality. Quantifying the climatic causes of these multivariate, ecologically defined events is challenging, and so existing work has typically determined the climatic causes of browning events on a case-by-case basis in a descriptive, unsystematic manner. While this has allowed development of important qualitative understanding of the mechanisms underlying extreme event driven browning, it cannot definitively link browning to specific climatic variables, or predict how changes in these variables will influence browning severity. It is therefore not yet possible to determine how extreme events will influence ecosystem responses to climate change across Arctic regions. To address this, novel, process-based climate metrics that can be used to quantify the conditions and interactions that drive the ecological responses defining common extreme events were developed using publicly available snow depth and air temperature data (two of the main climate variables implicated in browning). These process-based metrics explained up to 63% of variation in plot-level Normalised Difference Vegetation Index (NDVI) at sites within areas affected by extreme events across boreal and sub-Arctic Norway. This demonstrates potential to use simple metrics to assess the contribution of extreme events to changes in Arctic biomass and productivity at regional scales. In addition, scaling up these metrics across the Norwegian Arctic region resulted in significant correlations with remotely-sensed NDVI, and provided much-needed insights into how climatic variables interact to determine the severity of browning across Arctic regions. © 2020
英文关键词	Arctic; Browning; Climate change; Climate metrics; Ericoid shrubs; Extreme events; Heathland; NDVI; Sub-Arctic; Winter
语种	英语
scopus关键词	Digital storage; Ecology; Productivity; Vegetation; Climate variables; Climatic variables; Ecological impacts; Ecological response; Ecosystem response; Normalised difference vegetation index; Rapid climate change; Vegetation damage; Climate change; arctic environment; assessment method; biological production; biomass; climate effect; ecosystem response; extreme event; NDVI; remote sensing; Norway
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179335
作者单位	Department of Animal and Plant Sciences, The University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom; Norwegian Institute for Nature Research, FRAM – High North Research Centre for Climate and the Environment, Tromsø, NO-9296, Norway
推荐引用方式 GB/T 7714	Treharne R.,Bjerke J.W.,Tømmervik H.,et al. Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning[J],2020,243.
APA	Treharne R.,Bjerke J.W.,Tømmervik H.,&Phoenix G.K..(2020).Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning.Remote Sensing of Environment,243.
MLA	Treharne R.,et al."Development of new metrics to assess and quantify climatic drivers of extreme event driven Arctic browning".Remote Sensing of Environment 243(2020).