Retrieving Multi-Scale Climatic Variations from High Dimensional Time-Series MODIS Green Vegetation Cover in a Tropical/Subtropical Mountainous Island

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2014 > Vol11 No.2

	Retrieving Multi-Scale Climatic Variations from High Dimensional Time-Series MODIS Green Vegetation Cover in a Tropical/Subtropical Mountainous Island
	CHANG Chung-te ; WANG Hsueh-ching ; HUANG Cho-ying
刊名	Journal of Mountain Science
	2014-03
卷号	11 期号:2 页码:407-420
关键词	Vegetation cover Vegetation dynamics Principal component analysis (PCA) Regional climate Standardized precipitation index (SPI) Climatic anomaly El Niño Southern Oscillation (ENSO)
通讯作者	HUANG Cho-ying
英文摘要	There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis (PCA) on 11 years (2001~2011) of high-dimensional monthly photosynthetically active vegetation cover (PV) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component (PC1, explaining 94.5% of variance) loadings, as expected, were significantly correlated with the temporal dynamics of the PV (r = 0.94), which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 (0.8% and 0.6% of variance, respectively) were significantly correlated with the temporal dynamics of the PV of forests (r = 0.72) and the farmlands (r = 0.80), respectively. The low-order components (PC4 and PC5, 0.3% and 0.2% of variance, respectively) were closely related to the occurrence of drought (r = 0.49) and to irregular ENSO associated climate anomalies (r = -0.54), respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index (SOI) with one to three months of time lags (r = -0.35 ~ -0.43, respectively), revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios.
收录类别	SCI
公开日期	2014-03-06
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/6853]
专题	成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2014_Vol11 No.2
推荐引用方式 GB/T 7714	CHANG Chung-te,WANG Hsueh-ching,HUANG Cho-ying. Retrieving Multi-Scale Climatic Variations from High Dimensional Time-Series MODIS Green Vegetation Cover in a Tropical/Subtropical Mountainous Island[J]. Journal of Mountain Science,2014,11(2):407-420.
APA	CHANG Chung-te,WANG Hsueh-ching,&HUANG Cho-ying.(2014).Retrieving Multi-Scale Climatic Variations from High Dimensional Time-Series MODIS Green Vegetation Cover in a Tropical/Subtropical Mountainous Island.Journal of Mountain Science,11(2),407-420.
MLA	CHANG Chung-te,et al."Retrieving Multi-Scale Climatic Variations from High Dimensional Time-Series MODIS Green Vegetation Cover in a Tropical/Subtropical Mountainous Island".Journal of Mountain Science 11.2(2014):407-420.