Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China

Wang, Yaqin; Luo, Yiqi; Shafeeque, Muhammad

doi:10.1016/j.scitotenv.2019.07.359

Cited by 39 publications

(19 citation statements)

References 64 publications

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“…Since phenology is highly sensitive to climate change and has significant impact on carbon balance. Thus the asymmetric and opposing response of phenology to daytime and night-time was studied by Wang et al 82 and concluded that T max and night-time T min had opposite effects on the timing of start of the season, delayed end of the season and prolonged length of growing season. Furthermore, several earlier studies documented that the intensity of the response of phenological stages and phases of agricultural crops to warming trend is variable at spatio-temporal scales 79,83,84 .…”

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confidence: 99%

The fingerprints of climate warming on cereal crops phenology and adaptation options

Fatima

Ahmed

Hussain

et al. 2020

Sci Rep

168

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Growth and development of cereal crops are linked to weather, day length and growing degree-days (GDDs) which make them responsive to the specific environments in specific seasons. Global temperature is rising due to human activities such as burning of fossil fuels and clearance of woodlands for building construction. The rise in temperature disrupts crop growth and development. Disturbance mainly causes a shift in phenological development of crops and affects their economic yield. Scientists and farmers adapt to these phenological shifts, in part, by changing sowing time and cultivar shifts which may increase or decrease crop growth duration. Nonetheless, climate warming is a global phenomenon and cannot be avoided. In this scenario, food security can be ensured by improving cereal production through agronomic management, breeding of climate-adapted genotypes and increasing genetic biodiversity. In this review, climate warming, its impact and consequences are discussed with reference to their influences on phenological shifts. Furthermore, how different cereal crops adapt to climate warming by regulating their phenological development is elaborated. Based on the above mentioned discussion, different management strategies to cope with climate warming are suggested.

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confidence: 99%

The fingerprints of climate warming on cereal crops phenology and adaptation options

Fatima

Ahmed

Hussain

et al. 2020

Sci Rep

168

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“…To reduce sediment transport and restore fragile ecosystems, the Chinese government has implemented intense ecological measures. Consequently, an increase in vegetation cover, particularly in the central region (i.e., Loess Plateau) (Chen et al, 2015), has been seen, extending the length of the growing season (Wang et al, 2019a) and substantially reducing both streamflow and sediment transport (Chen et al, 2015). These shifts in vegetation dynamics, phenology, and streamflow indicate the possible alteration of the hydrological process, which has worsened problem associated with the available water resources (Feng et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

“…To investigate the potential impacts of vegetation seasonality on catchment water balance, GL was extracted from the reconstructed NDVI timeseries data using the relative threshold method, based on the difference between the start and end of the growing season (Wang et al, 2019a). The start and end of the growing seasons were determined as the dates on which the NDVI values increased or decreased to a specified fraction of the amplitude, measured from the base level to the maximum value.…”

Section: Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework

Wang

Luo

Shafeeque

et al. 2021

Hydrological Processes

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The Budyko framework is an efficient tool for investigating catchment water balance, focusing on the effects of seasonal changes in climate (S) and vegetation cover (M) on catchment evapotranspiration (ET). However, the effects of vegetation seasonality on ET remain largely unknown. The present study explored these effects by modelling interannual variations in ET considering vegetation and climate seasonality using the Budyko framework. Reconstructed 15-day GIMMS NDVI 3g timeseries data from 1982 to 2015 were used to estimate M and extract the relative duration of the vegetation growing season (GL) in the Yellow River Basin (YRB). To characterize S, seasonal variations in precipitation and potential ET were extracted using a Gaussian algorithm. Analysis of the observed datasets for 19 catchments revealed that interannual variation in the catchment parameter ϖ (in Fuh's equation) was significantly and positively correlated with M and GL. Conversely, ϖ was significantly but negatively correlated with S. Furthermore, stepwise linear regression was used to calibrate the empirical formula of ϖ for these three dimensionless parameters. Following validation, based on observations in the remaining 11 catchments, ϖ was integrated into Fuh's equation to accurately estimate annual ET. Over 79% subcatchments showed an upward trend (0.9 mm yr −1 ), whereas fewer than 21% subcatchments showed a downward trend (−0.5 mm yr −1 ) across YRB.In the central region of the middle reach, ET increased with increased M, prolonged GL, and decreased S, whereas in the source region of YRB, ET decreased with decreased M and shortened GL. Our study provides an alternative method to estimate interannual ET in ungauged catchments and offers a novel perspective to investigate hydrological responses to vegetation and climate seasonality in the long-term.

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“…The photosynthesis of most plants takes place in daytime, while the respiration occurs throughout the day. Therefore, the uneven warming rates in daytime and at night affected the dynamic changes of vegetation by acting on the physiological process of vegetation [73][74][75]. Peng et al [15] analyzed the inter-annual correlation variations between NDVI and Tmax and between NDVI and Tmin in the Northern Hemisphere, and found that the increase in Tmax in the northern region often had a positive effect on the increase in NDVI, and Tmin and NDVI often showed a negative correlation.…”

Section: Effects Of the Asymmetry Of Daytime And Nighttime Temperaturmentioning

confidence: 99%

Asymmetry of Daytime and Nighttime Warming in Typical Climatic Zones along the Eastern Coast of China and Its Influence on Vegetation Activities

2020

Remote Sensing

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In this dissertation, the author adopted the normalized difference vegetation index (NDVI) and meteorological data from 1982 to 2016 of the typical climate zones in coastal areas of China to analyze the influence of daytime and nighttime warming asymmetric changes in different seasons on vegetation activities during the growing season period according to the copula function theory optimized based on Markov chain Monte Carlo (MCMC). The main conclusions are as follows: (1) The seasonal daytime and nighttime warming trends of Guangdong, Jiangsu and Liaoning over the past 35 years were significant, and the daytime and nighttime warming rates were asymmetric. In spring and summer of Guangdong province, the warming rate in the daytime was higher than that at night, while, in autumn, the opposite law was observed. However, the warming rate in the daytime was lower than that at night in Jiangsu and Liaoning provinces. There were latitude differences in diurnal and nocturnal warming rate. (2) The daytime and nighttime warming influences on vegetation showed significant seasonal differences in these three regions. In Guangdong, the influence of nighttime warming on vegetation growth in spring is greater than that in summer, and the influences of daytime warming on vegetation growth from strong to weak were spring, summer and autumn. In Jiangsu, both the influences of daytime and nighttime warming on vegetation growth in summer were less than that in autumn. In Liaoning, both the influences of daytime and nighttime warming on vegetation growth from strong to weak were autumn, spring and summer. (3) In Guangdong, Jiangsu and Liaoning provinces, their maximum temperature (Tmax) and minimum temperature (Tmin) and the joint probability distribution functions of NDVI, all had little effect on NDVI when Tmax and Tmin respectively reached their minimum values, but their influences on NDVI were obvious when Tmax and Tmin respectively reached their maximum values. (4) The smaller the return period, the larger the range of climate factor and NDVI, which has indicated that when the climate factor is certain, the NDVI is more likely to have a smaller return period, and the frequency of NDVI over a certain period is higher. In addition, the larger the climate factor, the greater the return period is and NDVI is less frequent over a certain period of time. This research can help with deep understanding of the dynamic influence of seasonal daytime and nighttime asymmetric warming on the vegetation in typical coastal temperature zones of China under the background of global climate change.

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Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China

Cited by 39 publications

References 64 publications

The fingerprints of climate warming on cereal crops phenology and adaptation options

The fingerprints of climate warming on cereal crops phenology and adaptation options

Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework

Asymmetry of Daytime and Nighttime Warming in Typical Climatic Zones along the Eastern Coast of China and Its Influence on Vegetation Activities

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