Assessment of Drought Indexes on Different Time Scales: A Case in Semiarid Mediterranean Grasslands

被引:17
作者
Almeida-naunay, Andres F. [1 ,2 ]
Villeta, Maria [1 ,3 ]
Quemada, Miguel [1 ,4 ]
Tarquis, Ana M. [1 ,2 ]
机构
[1] Univ Politecn Madrid, CEIGRAM, Ctr Estudios & Invest Gest Riesgos Agr & Medioamb, Senda Rey 13, Madrid 28040, Spain
[2] Univ Politecn Madrid, Escuela Tecn Super Ingn Agron Alimentaria & Biosi, Grp Sistemas Complejos, Avda Puerta Hierro 2-4, Madrid 28040, Spain
[3] Univ Complutense Madrid, Fac Estudios Estadist, Dept Estadist & Ciencia Datos, Avenida Puerta Hierro S-N, Madrid 28040, Spain
[4] Univ Politecn Madrid, ETSIAAB, Dept Prod Agr, Avda Puerta Hierro 2-4, Madrid 28040, Spain
关键词
meteorological drought; agricultural drought; standardisation; drought indexes; STANDARDIZED PRECIPITATION INDEX; VEGETATION INDEX; INNER-MONGOLIA; AGRICULTURAL DROUGHT; RAINFALL VARIABILITY; MULTISCALE DROUGHT; TEMPORAL RESPONSES; CLIMATE FACTORS; NDVI; TEMPERATURE;
D O I
10.3390/rs14030565
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought is a significant challenge to semiarid Mediterranean grasslands, Increasing the accuracy of monitoring allows improving the conservation and management of these vital ecosystems. Meteorological drought is commonly monitored by the Standard Precipitation Index (SPI) or the Standard Precipitation Evapotranspiration Index (SPEI). On the other hand, agriculture drought is estimated by the Vegetation Health Index (VHI). This work aims to optimise the correlation between both drought types using the best transformation of VHI and the most appropriate time scale. Two drought-vulnerable Mediterranean grasslands were selected to evaluate the performance of the drought indexes. The SPI and the SPEI were calculated using data obtained from nearby weather stations. MODIS data were used to calculate the VHI. This index was standardised, naming it as SVHI. Our results revealed that SPEI was better correlated with VHI compared to SPI. In addition, SVHI obtained better results in the critical vegetation phases than VHI. Overall, SPEI and SVHI were the best correlated indexes. The quarterly scale showed stronger relationships than the monthly scale and the most correlated time frame were Mediterranean spring and autumn. This fact suggests that SPEI and SVHI could provide a plus point for increasing the precision of vegetation monitoring during these periods.
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页数:17
相关论文
共 82 条
[51]   Remote Sensing of Grassland Production and Management-A Review [J].
Reinermann, Sophie ;
Asam, Sarah ;
Kuenzer, Claudia .
REMOTE SENSING, 2020, 12 (12)
[52]   Estimating green biomass ratio with remote sensing in arid grasslands [J].
Ren, Hongrui ;
Zhou, Guangsheng .
ECOLOGICAL INDICATORS, 2019, 98 :568-574
[53]   Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics [J].
Rodriguez-Iturbe, I .
WATER RESOURCES RESEARCH, 2000, 36 (01) :3-9
[54]  
Rouse J., 1973, Monitoring Vegetation Systems in the Great Plains with ERTS
[55]  
San Miguel-Ayanz A., 2009, PASTOS COMUNIDAD MAD
[56]   Generalized Structure Functions and Multifractal Detrended Fluctuation Analysis Applied to Vegetation Index Time Series: An Arid Rangeland Study [J].
Sanz, Ernesto ;
Saa-Requejo, Antonio ;
Diaz-Ambrona, Carlos H. ;
Ruiz-Ramos, Margarita ;
Rodriguez, Alfredo ;
Iglesias, Eva ;
Esteve, Paloma ;
Soriano, Barbara ;
Tarquis, Ana M. .
ENTROPY, 2021, 23 (05)
[57]   Normalized Difference Vegetation Index Temporal Responses to Temperature and Precipitation in Arid Rangelands [J].
Sanz, Ernesto ;
Saa-Requejo, Antonio ;
Diaz-Ambrona, Carlos H. ;
Ruiz-Ramos, Margarita ;
Rodriguez, Alfredo ;
Iglesias, Eva ;
Esteve, Paloma ;
Soriano, Barbara ;
Tarquis, Ana M. .
REMOTE SENSING, 2021, 13 (05) :1-24
[58]   Soil water characteristic estimates by texture and organic matter for hydrologic solutions [J].
Saxton, K. E. ;
Rawls, W. J. .
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2006, 70 (05) :1569-1578
[59]   Dynamic response of grass cover to rainfall variability: implications for the function and persistence of savanna ecosystems [J].
Scanlon, TM ;
Caylor, KK ;
Manfreda, S ;
Levin, SA ;
Rodriguez-Iturbe, I .
ADVANCES IN WATER RESOURCES, 2005, 28 (03) :291-302
[60]   APPLICATION OF MULTIFRACTALS TO THE ANALYSIS OF VEGETATION PATTERN [J].
SCHEURING, I ;
RIEDI, RH .
JOURNAL OF VEGETATION SCIENCE, 1994, 5 (04) :489-496