Literature DB >> 31845256

Studying of drought phenomena and vegetation trends over South Asia from 1990 to 2015 by using AVHRR and NASA's MERRA data.

Shahzad Ali1,2, Zhen Tian Xu3, Malak Henchirli3, Kalisa Wilson3, Jiahua Zhang4,5.   

Abstract

Drought is a severe climate fact that mainly results from low rainfall leading to serious threat of water shortages an ecological system of South Asia. Due to the current drought conditions and vegetation dynamics, the situation could further be intensified over South Asia. Thus, we study the drought impacts on vegetation dynamics over South Asia, aimed to find out the spatiotemporal differences in vegetation dynamics and seasons at which vegetation is determined by drought. Our approach is based on the using of advanced very high resolution radiometer (AVHRR) normalized difference vegetation index (NDVI) data and (NASA's MERRA) air temperature and rainfall data (1990-2015). Due to the low vegetation and dryness in South Asia, the NDVI is more helpful in describing the drought condition. From April to October, there were fast improvements in NDVI, VHI, and VCI. During September, the monthly VHI and VCI were stabilized and enhanced in October once more and in December again indicated a declining trend. The PCI, TCI, VCI, and VHI monthly values confirmed that in 2001, an extreme drought year, and continuous up to 2003, which lead the maximum drought in the South Asia regions. A considerably significantly correlation value in summer (JJA) and autumn (SON) seasons are showed between precipitation and NDVI. While the relationship between NVSWI and NDVI presented considerably high relationship in DJF, JJA, and SON, which specify an excellent indication for monitoring water stress. From 1990 to 2015, the difference of vegetation trend was obvious showed among various regions. The drought frequency was reducing trends from 1990 to 2015 over South Asia.

Entities:  

Keywords:  Drought indices dynamics; Frequency of drought; NVSWI; South Asia; Vegetation trends

Mesh:

Substances:

Year:  2019        PMID: 31845256     DOI: 10.1007/s11356-019-07221-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  7 in total

1.  Using the satellite-derived NDVI to assess ecological responses to environmental change.

Authors:  Nathalie Pettorelli; Jon Olav Vik; Atle Mysterud; Jean-Michel Gaillard; Compton J Tucker; Nils Chr Stenseth
Journal:  Trends Ecol Evol       Date:  2005-06-09       Impact factor: 17.712

2.  Woody plant richness and NDVI response to drought events in Catalonian (northeastern Spain) forests.

Authors:  F Lloret; A Lobo; H Estevan; P Maisongrande; J Vayreda; J Terradas
Journal:  Ecology       Date:  2007-09       Impact factor: 5.499

3.  Drought footprint on European ecosystems between 1999 and 2010 assessed by remotely sensed vegetation phenology and productivity.

Authors:  Eva Ivits; Stephanie Horion; Rasmus Fensholt; Michael Cherlet
Journal:  Glob Chang Biol       Date:  2014-02       Impact factor: 10.863

4.  Modelling the influence of land-use changes on biophysical and biochemical interactions at regional and global scales.

Authors:  N Devaraju; G Bala; R Nemani
Journal:  Plant Cell Environ       Date:  2015-01-31       Impact factor: 7.228

5.  An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change.

Authors:  M D M Kadiyala; S Nedumaran; Piara Singh; Chukka S; Mohammad A Irshad; M C S Bantilan
Journal:  Sci Total Environ       Date:  2015-03-30       Impact factor: 7.963

6.  Quantitative and detailed spatiotemporal patterns of drought in China during 2001-2013.

Authors:  Lei Zhou; Jianjun Wu; Xinyu Mo; Hongkui Zhou; Chunyuan Diao; Qianfeng Wang; Yuanhang Chen; Fengying Zhang
Journal:  Sci Total Environ       Date:  2017-03-06       Impact factor: 7.963

7.  Influence of climate-driven shifts in biomass allocation on water transport and storage in ponderosa pine.

Authors:  Hafiz Maherali; Evan H DeLucia
Journal:  Oecologia       Date:  2001-07-17       Impact factor: 3.225

  7 in total

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