| DOI: | 10.3354/cr01521
|
| Scopus记录号: | 2-s2.0-85054851434
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| 论文题名: | Climate-driven variability in vegetation greenness over Portugal |
| 作者: | Costa R.; Fraga H.; Fernandes P.M.; Santos J.A.
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| 刊名: | Climate Research
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| ISSN: | 0936577X
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| 出版年: | 2018
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| 卷: | 76, 期:2 | | 起始页码: | 95
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| 结束页码: | 113
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| 语种: | 英语
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| 英文关键词: | Greenness
; Greenness forecast
; NDVI
; Portugal
; SPEI
; Vegetation
; Vegetation types
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| Scopus关键词: | Quercus suber
|
| 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. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/116257
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| Appears in Collections: | 气候减缓与适应
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| Recommended Citation: | |
Costa R.,Fraga H.,Fernandes P.M.,et al. Climate-driven variability in vegetation greenness over Portugal[J]. Climate Research,2018-01-01,76(2)
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