Spatio-temporal variations in trends of vegetation and drought changes in relation to climate variability from 1982 to 2019 based on remote sensing data from East Asia

doi:10.1016/j.jia.2023.04.028

Journal of Integrative Agriculture

2023, Vol. 22

Issue (10): 3193-3208 DOI: 10.1016/j.jia.2023.04.028

Agro-ecosystem & Environment

Advanced Online Publication | Current Issue | Archive | Adv Search

Spatio-temporal variations in trends of vegetation and drought changes in relation to climate variability from 1982 to 2019 based on remote sensing data from East Asia

Shahzad ALI^1,^2*#, Abdul BASIT³^*, Muhammad UMAIR¹, Tyan Alice MAKANDA¹, Fahim Ullah KHAN², Siqi SHI⁴, NI Jian¹

¹ College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, P.R.China
² Department of Agriculture, Hazara University, Mansehra 21120, Pakistan
³ Department of Computer Science, University of Peshawar, Peshawar 25000, Pakistan
⁴ Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AE, Netherlands

Abstract
References

Download: PDF in ScienceDirect
Export: BibTeX | EndNote (RIS)

Abstract

Studying the significant impacts on vegetation of drought due to global warming is crucial in order to understand its dynamics and interrelationships with temperature, rainfall, and normalized difference vegetation index (NDVI). These factors are linked to excesses drought frequency and severity on the regional scale, and their effect on vegetation remains an important topic for climate change study. East Asia is very sensitive and susceptible to climate change. In this study, we examined the effect of drought on the seasonal variations of vegetation in relation to climate variability and determined which growing seasons are most vulnerable to drought risk; and then explored the spatio-temporal evolution of the trend in drought changes in East Asia from 1982 to 2019. The data were studied using a series of several drought indexes, and the data were then classified using a heat map, box and whisker plot analysis, and principal component analysis. The various drought indexes from January to August improved rapidly, except for vegetation health index (VHI) and temperature condition index (TCI). While these indices were constant in September, they increased again in October, but in December, they showed a descending trend. The seasonal and monthly analysis of the drought indexes and the heat map confirmed that the East Asian region suffered from extreme droughts in 1984, 1993, 2007, and 2012 among the study years. The distribution of the trend in drought changes indicated that more severe drought occurred in the northwestern region than in the southeastern area of East Asia. The drought tendency slope was used to describe the changes in drought events during 1982–2019 in the study region. The correlations among monthly precipitation anomaly percentage (NAP), NDVI, TCI, vegetation condition index (VCI), temperature vegetation drought index (TVDI), and VHI indicated considerably positive correlations, while considerably negative correlations were found among the three pairs of NDVI and VHI, TVDI and VHI, and NDVI and TCI. This ecological and climatic mechanism provides a good basis for the assessment of vegetation and drought-change variations within the East Asian region. This study is a step forward in monitoring the seasonal variation of vegetation and variations in drought dynamics within the East Asian region, which will serve and contribute to the better management of vegetation, disaster risk, and drought in the East Asian region.

Keywords: climate change drought severity vegetation dynamics heat mapping TVDI spatial correlation East Asia

Received: 14 December 2022 Accepted: 13 March 2023

Fund:

This work was supported by the Basic Research Project of Zhejiang Normal University, China (ZC304022952), the China Postdoctoral Science Foundation Funding (2018M642614), and the Natural Science Foundation Youth Project of Shandong Province, China (ZR2020QF281).

About author: #Correspondence Shahzad ALI, E-mail: shahzadali320@aup.edu.pk * These authors have contributed equally to this study.

	Service
	E-mail this article
	Add to citation manager
	E-mail Alert
	RSS

	Articles by authors
	Shahzad ALI
	Abdul BASIT
	Muhammad UMAIR
	Tyan Alice MAKANDA
	Fahim Ullah KHAN
	Siqi SHI
	NI Jian

Cite this article:

Shahzad ALI, Abdul BASIT, Muhammad UMAIR, Tyan Alice MAKANDA, Fahim Ullah KHAN, Siqi SHI, NI Jian. 2023. Spatio-temporal variations in trends of vegetation and drought changes in relation to climate variability from 1982 to 2019 based on remote sensing data from East Asia. Journal of Integrative Agriculture, 22(10): 3193-3208.

Abbas S, Nichol J E, Qamer F M, Xu J. 2014. Characterization of drought development through remote sensing: A case study in central Yunnan, China. Remote Sensing, 6, 4998-5018.

Ali S, Henchiri M, Yao F, Zhang J. 2019. Analysis of vegetation dynamics, drought in relation with climate over South Asia from 1990 to 2011. Environmental Science and Pollution Research, 26, 11470-11481.

Amin M O, Jan A, Mehrdada R, Ali M, Reza A S. 2011. Drought monitoring methodology based on AVHRR images and SPOT vegetation maps. Journal of Water Resource and Protection, 3, 325-334.

Bayarjargal Y, Karnieli A, Bayasgalan M, Khudulmur S, Gandush C, Tucker C J. 2006. A comparative study of NOAA-AVHRR derived drought indices using change vector analysis. Environmental Science and Pollution Research, 105, 9-22.

Bhuiyan C, Singh R P, Kogan F N. 2006. Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 4, 289-302.

Blakeley S L, Sweeney S, Husak G, Harrison L, Funk C, Peterson P, Osgood D E. 2020. Identifying precipitation and reference evapotranspiration trends in west africa to support drought insurance. Remote Sensing, 12, 2432.

Carlson T N, Gillies R R, Perry E M. 1994. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews, 9, 161-173.

Chen B, Xu G, Coops N C, Ciaas P, Innes J L, Wang G, Myeni R B, Wang T, Krzyzanowski J, Li Q, Cao L, Liu Y. 2014. Changes in vegetation photosynthetic activity trends across the Asia-Pacific region over the last three decades. Remote Sensing, 144, 28-41.

Chen F, Huang W. 2017. Multi-scale climate variations in the arid Central Asia. Advances in Climate Change Research, 8, 1-2.

Cong D, Zhao S, Chen C, Duan Z. 2017. Characterization of droughts during 2001-2014 based on remote sensing: A case study of Northeast China. Ecological Information, 39, 56-67.

Crow W T, Miralles D G, Cosh M H. 2010. A quasi-global evaluation system for satellitebased surface soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing, 48, 2516-2527.

Dianmin C, Shuhe Z, Cheng C, Zheng D. 2017. Characterization of droughts during 2001-2014 based on remote sensing: A case study of Northeast China. Ecological Information, 39, 56-67.

Dilinuer T, Yao J, Chen J, Mao W, Yang L, Yeernaer H, Chen Y. 2021. Regional drying and wetting trends over Central Asia based on Koppen climate classification in 1961-2015. Advances in Climate Change Research, 12, 363-372.

Dracup J A, Lee K S, Paulson E G. 1980. On the definition of droughts. Water Resource Research, 16, 289-296.

Du J, Shu J, Xinjie J, Jiaerheng A, Xiong S, He P, Liu W. 2015. Analysis on spatio-temporal trends and drivers in vegetation growth during recent decades in Xinjiang, China. International Journal of Applied Earth Observation and Geoinformation, 38, 216-228.

Eltahir E, Pal J S. 1996. Relationship between surface conditions and subsequent rainfall in convective storms. Journal of Geophysical Research, 101, 26237-26245.

Guan X, Zhu K, Huang X, Zeng X, Zhang L, He Y. 2021. Precipitation changes in semi-arid regions in East Asia under global warming. Frontiers in Earth Science, 9, 1-10.

Hao F, Zhang X, Ouyang W, Skidmore A K, Toxopeus A G. 2012. Vegetation NDVI linked to temperature and precipitation in the upper catchments of Yellow River. Environmental Modeling and Assessment, 17, 389-398.

Huang J, Xue Y, Sun S, Zhang J. 2015. Spatial and temporal variability of drought during 1960-2012 in Inner Mongolia, north China. Quaternary International, 355, 134-144.

Huang S Z, Ming B, Huang Q, Leng G Y, Hou B B. 2017. A case study on a combination ndvi forecasting model based on the entropy weight method. Water Resources Management, 34, 3667-3681.

IPCC (Intergovernmental Panel on Climate Change). 2013. Summary for policymakers. In climate change 2013. The physical science basis. Contribution of working group i to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK. https://www.ipcc.ch/site/assets/ uploads/2018/02/WG1AR5_SPM_FINAL.pdf

Jackson T J, Cosh M H, Bindlish R, Starks P J, Bosch D D, Seyfried M, Du J. 2010. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing, 48, 4256-4272.

Jain S K, Keshri R, Goswami A, Sarkar A. 2010. Application of meteorological and vegetation indices for evaluation of drought impact: A case study for Rajasthan, India. Natural Hazards, 54, 643-656.

Jain S K, Keshri R, Goswami A, Sarkar A, Chaudhry A. 2009. Identification of drought-vulnerable areas using NOAA AVHRR data. International Journal of Remote Sensing, 30, 2653-2668.

Jentes E S, Lash R R, Johansson M A, Sharp T M, Henry R, Brady O J, Sotir M J, Hay S I, Margolis H S, Brunette G W. 2016. Evidence-based risk assessment and communication: A new global dengue-risk map for travellers and clinicians. Journal of Travel Medicine, 23, 1-5.

Kalisa W, Igbawua T, Henchiri M, Ali S, Zhang, S, Bai Y, Zhang J. 2019. Assessment of climate impact on vegetation dynamics over East Africa from 1982 to 2015. Scientific Reports, 9, 1-20.

Kalisa W, Zhang J, Igbawua T, Ujoh F, Ebohon O J, Namugiza J. 2020. Spatio-temporal analysis of drought and return periods over the East African region using Standardized Precipitation Index from 1920 to 2016. Agricultural Water Management, 237, 1-13.

Kapture A T, Prihodko L, Hanan N P. 2015. On regreening and degradation in Sahelian water sheds. Proceedings of the National Academy of Sciences of the United States of America, 112, 12133-12141.

Kogan F N. 1990. Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing, 11, 1405-1419.

Kogan F N. 1995. Drought of the late 1980s in the United States as derived from NOAA polar-orbiting satellite date. Bulletin of the American Meteorological Society, 78, 655-668.

Kogan F N. 1998. A typical pattern of vegetation conditions in southern Africa during El Nino years detected from AVHRR data using three channel numerical index. International Journal of Remote Sensing, 19, 3688-3694

Kogan F N, Stark R, Gitelson A, Jargalsaikhan L, Dugrajav C, Tsooj S. 2004. Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices. International Journal of Remote Sensing, 25, 2889-2896.

Lee M H, Ho C H, Kim J, Song C K. 2012. Assessment of the changes in extreme vulnerability over East Asia due to global warming. Climate Change, 113, 301-321.

Lehner F, Coats S, Stocker T F, Pendergrass A G, Sanderson M, Raible C C, Smerdon J E. 2017. Projected drought risk in 1.5°C and 2°C warmer climates. Geophysical Research Letters, 44, 7419-7428.

Li X, Sha J, Wang Z. 2019. Comparison of drought indices in the analysis of spatial and temporal changes of climatic drought events in a basin. Environmental Science and Pollution Research, 26, 10695-10707.

Liu Q, Zhang S, Zhang H, Bai Y, Zhang J. 2020. Monitoring drought using composite drought indices based on remote sensing. Science of the Total Environment, 711, 13585.

Maximilian S, Landmann T, Cornish N, Wetzel K, Siebert S, Franke J. A. 2020. Spatially transferable drought hazard and drought risk modeling approach based on remote sensing data. Remote Sensing, 12, 1-23.

Measho S, Chen B, Trisurat Y, Pellikka P, Guo L, Arunyawat S, Tuankrua V, Ogbazghi W, Yemane T. 2019. Spatio-temporal analysis of vegetation dynamics as a response to climate variability and drought patterns in the semiarid region, Eritrea. Remote Sensing, 11, 1-23.

Onyutha C. 2017. On rigorous drought assessment using daily time scale: non-stationary frequency analyses, revisited concepts, and a new method to yield non-parametric indices. Hydrology, 4, 1-43.

Rastogi D, Touma D, Evans K J. 2020. Shift toward intense and Widespread Precipitation events over the United States by Mid-21st Century. Geophysical Research Letters, 47, 1-10.

Raynolds M K, Walker D A, Epstein H E, Pinzon J E, Tucker C J. 2012. A new estimate of tundra-biome phytomass from trans-Arctic field data and AVHRR NDVI. Remote Sensing Letters, 3, 403-411.

Rouse J W, Haas R H, Schell J A, Deering D W. 1974. Monitoring vegetation systems in the Great Plains with ERTS. NTRS - NASA Technical Reports Server, 1, 309- 317.

Rousvel S, Armand N, Andre L, Tengeleng S, Alain T S, Armel K. 2013. Comparison between vegetation and rainfall of bioclimate eco-regions in Central Africa. Atmosphere, 4, 411-427.

Salazar L, Kogan F, Roytman L. 2008. Using vegetation health indices and partial least squares method for estimation of corn yield. International Journal of Remote Sensing, 29, 175-189.

Sandholt I, Rasmussen K, Andersen J. 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 79, 213-224.

Shi Y, Yu G. 2003. Warm-humid climate and transgressions during 40-30 ka B.P. and their potential mechanisms. Quaternary Science Reviews, 23, 1-11.

Song X, Li L, Fu G, Li J, Zhang A, Liu W, Zhang K. 2014. Spatial- temporal variations of spring drought based on spring-composite index values for the Songnen plain, Northeast China. Theoretical and Applied Climatology, 116, 371-384.

Sun C, Li J, Zhao S. 2015. Remote influence of Atlantic multidecadal variability on Siberian warm season precipitation. Scientific Reports, 5, 16853.

Swain S, Wardlow B D, Narumalani, S, Tadesse T, Callahan K. 2011. Assessment of vegetation response to drought in nebraska using terra MODIS land surface temperature and normalized difference vegetation index. GIScience & Remote Sensing, 48, 432-455.

Tao L, Liang X, Cai L, Zhao J, Zhang M. 2021. Relative contributions of global warming, AMO and IPO to the land precipitation variabilities since 1930s. Climatic Dynamics, 56, 2225-2243.

Tsilini V, Papantoniou S, Kolokotsa D, Maria E. 2014. Urban gardens as a solution to energy poverty and urban heat island. Sustainable Cities Society, 14, 323-333.

Vicente-Serrano S M. 2013. Response of vegetation to drought timescales across global land biomes. Proceedings of the National Academy of Sciences of the United States of America, 110, 52-57.

Vicente-Serrano S M, Beguería S, Lópezmoreno J I, Angulo M, Kenawy A E. 2010. A new global 0.58 gridded dataset (1901-2006) of a multiscalar drought index: Comparison with current drought index datasets based on the Palmer drought severity index. Journal of Hydrometeorology, 11, 1033-1043.

Wang B, Xu G, Li P, Li Z B, Zhang Y X, Cheng Y T, Lu J, Zhang J X. 2019. Vegetation dynamics and their relationships with climatic factors in the Qinling Mountains of China. Ecological Indicator, 108, 105719.

Wang J, Price K P, Rich P M. 2001. Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains. International Journal of Remote Sensing, 22, 3827-3844

Wang J, Zhang K, Zhang M, Zhang C. 2015. Impacts of climate change and human activities on vegetation cover in hilly southern China. Ecological Engineering, 81,451- 461.

Wilhite D A. 2000. Drought as a natural hazard: Concepts and dentitions. Drought a Global Assessment, 1, 3-18.

Xu G, Zhang H, Chen B, Zhang H, Innes J L, Wang G, Yan J, Zheng Y, Zhu Z, Myneni R B. 2014. Changes in vegetation growth dynamics and relations with climate over China’s land mass from 1982-2011. Remote Sensing, 6, 3263-3283.

Liu Y, Wang X F, Guo M, Tani H. 2011. Comparison of GOSAT CAI and spot VGT NDVI data with different season and land cover in East Asia. ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4, 94-97.

Zhang C, Liu C, Hu Q, Cai Z, Su W, Xia C, Zhu Y, Wang S, Liu J. 2019. Satellite UVVis spectroscopy: Implications for air quality trends and their driving forces in China during 2005-2017. Light (Science & Application), 8, 1-12.

Zhang J, Mu Q, Huang J. 2016. Assessing the remotely sensed drought severity index for agricultural drought monitoring and impact analysis in North China. Ecological Indicator, 63, 296-309.

Zhang P, Jeong J, Yoon J. 2020. Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point. Science, 370, 1095-1099.

Zhao A Z, Zhang A B, Lu C Y, Wang D L, Wang, H F, Liu H X. 2018. Spatiotemporal variation of vegetation coverage before and after implementation of Grain for Green Program in Loess Plateau, China. Ecological Engineering, 104, 13-22

Zhao H, Ma Y. 2019. Evaluating the drought-monitoring utility of four satellite-based quantitative precipitation estimation products at global scale. Remote Sensing, 11, 2010.

Zribi M, Dridi G, Amri R, Lili-Chabaane Z. 2016. Analysis of the effects of drought on vegetation cover in a mediterranean region through the use of SPOT-VGT and TERRA-MODIS long time series. Remote Sensing, 8, 992.

No related articles found!

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Shared

Discussed

Cite this article:

About JIA

Editorial board

For authors