Assessment of Regional Vegetation Response to Climate Anomalies: A Case Study for Australia Using GIMMS NDVI Time Series between 1982 and 2006

被引:46
作者
De Keersmaecker, Wanda [1 ,2 ]
Lhermitte, Stef [3 ]
Hill, Michael J. [4 ,5 ]
Tits, Laurent [6 ]
Coppin, Pol [2 ]
Somers, Ben [1 ]
机构
[1] Katholieke Univ Leuven, Div Forest Nat & Landscape, B-3001 Leuven, Belgium
[2] Katholieke Univ Leuven, Div Crop Biotech, B-3001 Leuven, Belgium
[3] Delft Univ Technol, Dept Geosci & Remote Sensing, NL-2628 CD Delft, Netherlands
[4] Univ North Dakota, Dept Earth Syst Sci & Policy, Grand Forks, ND 58202 USA
[5] CSIRO Land & Water, Canberra, ACT 2601, Australia
[6] Flemish Inst Technol Res VITO, Remote Sensing Dept, Antwerp Mol 2400, B-2400 Antwerp, Belgium
关键词
vegetation stability; non-stationarity; resistance; resilience; variance; Australia; climate change; PHENOLOGICAL CHANGE; TRENDS; VARIABILITY; DATASET; SAHEL; DEGRADATION; RESILIENCE; STABILITY; DYNAMICS; RECOVERY;
D O I
10.3390/rs9010034
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Within the context of climate change, it is of utmost importance to quantify the stability of ecosystems with respect to climate anomalies. It is well acknowledged that ecosystem stability may change over time. As these temporal stability changes may provide a warning for increased vulnerability of the system, this study provides a methodology to quantify and assess these temporal changes in vegetation stability. Within this framework, vegetation stability changes were quantified over Australia from 1982 to 2006 using GIMMS NDVI and climate time series (i.e., SPEI (Standardized Precipitation and Evaporation Index)). Starting from a stability assessment on the complete time series, we aim to assess: (i) the magnitude and direction of stability changes; and (ii) the similarity in these changes for different stability metrics, i.e., the standard deviation of the NDVI anomaly (SD), auto-correlation at lag one of the NDVI anomaly (AC) and the correlation of NDVI anomaly with SPEI (CS). Results show high variability in magnitude and direction for the different stability metrics. Large areas and types of Australian vegetation showed an increase in variability (SD) over time; however, vegetation memory (AC) decreased. The association of NDVI anomalies with drought events (CS) showed a mixed response: the association increased in the western part, while it decreased in the eastern part. This methodology shows the potential for quantifying vegetation responses to major climate shifts and land use change, but results could be enhanced with higher resolution time series data.
引用
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页数:17
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