Influences of Climate Extremes on NDVI (Normalized Difference Vegetation Index) in the Poyang Lake Basin, China

Tan, Zhiqiang; Tao, Hui; Jiang, Jiahu; Zhang, Qi

doi:10.1007/s13157-015-0692-9

Cited by 58 publications

(37 citation statements)

References 53 publications

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“…While the investigation of shorter intervals may appear desirable, one has to note that the reaction time of the NDVI to temperature changes can strongly depend on the type of ecosystem and its resilience or vulnerability in L. Baumbach et al: Impact of temperature extremes on NDVI the presence of perturbations (Gonzalez et al, 2010). In this context, NDVI responses to climate extremes can either be instantaneous or show time lags of even up to 1 month (Tan et al, 2015). Bearing this fact in mind, in addition to the practical necessity of this strategy, defining extreme NDVI events upon a temporal resolution of 16 days appears a reasonable trade-off to account for both instantaneous and delayed responses at least to a certain degree.…”

Section: Event Definitions 321 Ndvimentioning

confidence: 99%

Impacts of temperature extremes on European vegetation during the growing season

et al. 2017

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Abstract. Temperature is a key factor controlling plant growth and vitality in the temperate climates of the midlatitudes like in vast parts of the European continent. Beyond the effect of average conditions, the timings and magnitudes of temperature extremes play a particularly crucial role, which needs to be better understood in the context of projected future rises in the frequency and/or intensity of such events. In this work, we employ event coincidence analysis (ECA) to quantify the likelihood of simultaneous occurrences of extremes in daytime land surface temperature anomalies (LSTAD) and the normalized difference vegetation index (NDVI). We perform this analysis for entire Europe based upon remote sensing data, differentiating between three periods corresponding to different stages of plant development during the growing season. In addition, we analyze the typical elevation and land cover type of the regions showing significantly large event coincidences rates to identify the most severely affected vegetation types. Our results reveal distinct spatio-temporal impact patterns in terms of extraordinarily large co-occurrence rates between several combinations of temperature and NDVI extremes. Croplands are among the most frequently affected land cover types, while elevation is found to have only a minor effect on the spatial distribution of corresponding extreme weather impacts. These findings provide important insights into the vulnerability of European terrestrial ecosystems to extreme temperature events and demonstrate how event-based statistics like ECA can provide a valuable perspective on environmental nexuses.

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Section: Event Definitions 321 Ndvimentioning

confidence: 99%

Impacts of temperature extremes on European vegetation during the growing season

et al. 2017

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“…It is widely believed that climate change can cause changes in vegetation cover and may eventually lead to increased frequency and severity of regional extreme events (desertification, salinization, dust storms, floods etc.) [2]. Therefore, exploring the intrinsic relationship between the temporal and spatial changes of vegetation cover and climate change can reveal the evolution process of regional environmental conditions and predict the future development trend.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal changes of NDVI and correlation with meteorological factors in northern china from 1985-2015

2019

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The NDVI in northern china is vulnerable and is greatly affected by meteorological factors. In this study, the correlation between changes of NDVI and the major meteorological factors (temperature, precipitation) in northern China in the past 30 years with Trend analysis and partial correlation analysis methods. The results show that: (1) In the recent 30 years, the annual average NDVI in northern China shows an upward trend of volatility, with an annual growth rate of 0.0015, and the overall vegetation coverage increases. (2) In the context of global warming, the average annual temperature in the research area increased significantly, with an average annual growth rate of 0.0353, while the average annual growth rate of precipitation was not significant, with an average annual growth rate of 0.1591. (3) NDVI has a higher correlation with air temperature in high altitude alpine and plateau areas, and a higher correlation with precipitation in grassland and desert grassland areas.

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“…Remarkably, the forest coverage in PYLB increased dramatically since the 1970s. In addition, other studies also demonstrated that the Normalized Difference Vegetation Index (NDVI) in PYLB presented an increasing trend since the 1980s [35,58,59]. Both historical and remote sensing evidence highlight the increase of vegetation coverage in PYLB, which may play an important role in reducing runoff.…”

Section: Potential Factors Influencing the Catchment Properties' Paramentioning

confidence: 95%

“…The topography of the Poyang Lake Basin (PYLB) varies from highly mountainous regions (maximum elevation of 2200 m above sea level) to alluvial plains in lower reaches of the primary water resources [34,35]. Poyang Lake exchanges water with the Yangtze River through a narrow outlet located in Hukou [35], while receiving water from the five sub-drainage basins of Ganjiang River, Fuhe River, Xinjiang River, Raohe River and Xiushui River [36,37]. Headwater of these rivers is located in boundaries of the east, south and west of Jiangxi Province that are surrounded by high mountains.…”

Section: Overview Of the Poyang Lake Basinmentioning

confidence: 99%

“…The stream gradient decreases as these rivers flow onto the relatively flat region surrounding Poyang Lake. The flat central area of the Poyang Lake Basin is an important region for farming (major crops are rice and oilseed rape) [35], not only in Jiangxi province, but also in China [34]. The PYLB belongs to a subtropical wet climate zone with an annual mean precipitation of 1680 mm and annual mean temperature of 17.5 • C. The hydrological processes in PYLB is complex [36,38], leading to dramatic seasonal water-level fluctuations of Poyang Lake.…”

Section: Overview Of the Poyang Lake Basinmentioning

confidence: 99%

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Accessing the Difference in the Climate Elasticity of Runoff across the Poyang Lake Basin, China

Fan

Tao

et al. 2017

Water

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Understanding the effects of climate and catchment properties' changes on water yield is a challenging component in assessments of future water resources. Here, we spatially applied the water-energy balance equation, based on the widely-used Budyko framework, to quantify the temporal and spatial differences of the climate elasticity of runoff in the Poyang Lake Basin (PYLB), highlighting the influence of the catchment properties' parameter n variation on the climate elasticity and runoff prediction. By using Sen's slope and the Mann-Kendall method, we found that, for the whole study period , annual temperature in PYLB significantly increased at a rate of 1.44% per decade. Basin-wide wind speed and net radiation had been declining at 0.17 m/s and 46.30 MJ/m 2 per decade. No significant trend was detected in precipitation and relative humidity. The moving average method was applied to evaluate the temporal pattern of n. The results showed that the calibrated catchment properties' parameter and the derived elasticities were not constant during the past 50 years. We found that in most sub-basins, the n values increased during 1970-1980, followed by a decreasing trend in the period from 1980 to 1990, whereas the n value in Fuhe sub-basin kept increasing for the almost the whole study period. In addition, the climate elasticity is highly correlated with the n value, indicating that the catchment properties' parameter was the dominant factor influencing climate elasticity in PYLB in the past 50 years. We also attempted to predict the runoff trend with the consideration of trends in n. However, in some sub-basins, there were still considerable differences between the predicted runoff trend and the observed one. The method used here to evaluate the temporal pattern of n should be an extension of the existing literature and will provide a better understanding of elasticity in the regional hydrological cycle.

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Influences of Climate Extremes on NDVI (Normalized Difference Vegetation Index) in the Poyang Lake Basin, China

Cited by 58 publications

References 53 publications

Impacts of temperature extremes on European vegetation during the growing season

Impacts of temperature extremes on European vegetation during the growing season

Spatiotemporal changes of NDVI and correlation with meteorological factors in northern china from 1985-2015

Accessing the Difference in the Climate Elasticity of Runoff across the Poyang Lake Basin, China

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