气候变化领域集成服务门户(CCPortal): Climate-driven variability in vegetation greenness over Portugal

CCPortal

DOI	10.3354/cr01521
	Climate-driven variability in vegetation greenness over Portugal
	Costa R.; Fraga H.; Fernandes P.M.; Santos J.A.
发表日期	2018
ISSN	0936-577X
起始页码	95
结束页码	113
卷号	76 期号:2
英文摘要	The role of climatic variability on vegetation greenness over mainland Portugal (2000-2014) was assessed using the Normalized Difference Vegetation Index (NDVI) as a measure of vegetation greenness. The gridded Standardized Precipitation Evapotranspiration Index (SPEI), gridded maximum (TX) and minimum (TN) temperatures, defined on a monthly basis, were used to assess climatic variability. Different vegetation classes were studied separately: Grasslands, holm oak and cork oak, shrubland, deciduous forests and other evergreen forests. Type-specific models were developed to represent NDVI variability, using lagged monthly anomalies (up to 6 mo) of SPEI, TX and TN as exploratory variables. For southern Portugal, occupied mainly by grassland and low density woodland, vegetation greenness is very sensitive to precipitation. This sensitivity is particularly clear in February-March and September. Conversely, in the northwestern regions, where shrubland and evergreen/deciduous forests prevail, vegetation greenness is much less sensitive to precipitation seasonality. After cross-validation, the typespecific vegetation models explained 50-88% of the observed NDVI variability (relative errors of 3-7%). Models showed that SPEI significantly correlates with vegetation greenness at 3 and 6 mo timescales. At the same timescales, anomalously low TX and, to a much lower extent, anomalously high TN tend to favour vegetation greenness. It is thus possible to predict vegetation greenness in Portugal, up to 3 mo in advance and for different vegetation types, with some accuracy. A thorough understanding of the relationships between vegetation greenness and precipitation variability may promote a better management of forest/agroforestry systems, water resources, ecosystems and landscapes, particularly under changing climates. © 2018 Inter-Research.
英文关键词	Greenness; Greenness forecast; NDVI; Portugal; SPEI; Vegetation; Vegetation types
语种	英语
scopus关键词	Quercus suber
来源期刊	Climate Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146958
作者单位	Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, Universidade de Trás-os-Montes e Alto Douro, UTAD, Vila Real, 5000-801, Portugal
推荐引用方式 GB/T 7714	Costa R.,Fraga H.,Fernandes P.M.,et al. Climate-driven variability in vegetation greenness over Portugal[J],2018,76(2).
APA	Costa R.,Fraga H.,Fernandes P.M.,&Santos J.A..(2018).Climate-driven variability in vegetation greenness over Portugal.Climate Research,76(2).
MLA	Costa R.,et al."Climate-driven variability in vegetation greenness over Portugal".Climate Research 76.2(2018).