Satellite-Observed Effects from Ozone Pollution and Climate Change on Growing-Season Vegetation Activity over China during 1982–2020

Wang, Zhaosheng

doi:10.3390/atmos12111390

Cited by 18 publications

(9 citation statements)

References 32 publications

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“…Our study shows that the average NPP decrease due to ozone pollution is 24.7%. This value is comparable to previous estimates for China, which range from 10.1% to 24.7% (Ren et al., 2011; Wang, 2021; Yue et al., 2017). The NPP perform with a more significant decrease in the central north of the study areas, compared to the central southern part, where a more considerable absolute reduction exists.…”

Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 88%

“…The pronounced impacts of ozone pollution are particularly evident during the summer, characterized by high temperatures and intense sunlight, which facilitate ozone formation in the atmosphere. Notably, this period is the peak growing season for numerous plant species (Wang, 2021). The simultaneous occurrence of heightened ozone concentrations and the peak growth phase of vegetation intensifies the adverse effects of ozone pollution on ecosystem NPP, as highlighted in recent investigations (Tai et al., 2021; Wang, Wang, et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the limited plot-scale information provided by such experiments makes it challenging to assess the impact of large-scale ozone pollution on terrestrial ecosystems. In recent years, researchers investigated ozone exposure's regional or global effects on vegetation using modeling methods (Xie et al, 2019;Yue et al, 2017) and satellite observations (Hu et al, 2023;Shimizu et al, 2019;Wang, 2021). Specifically, Hu et al (2023) investigated the effects of ozone on NPP across the entire China, contributing to a broader comprehension of ozone exposure's influence on regional-scale ecosystems.…”

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confidence: 99%

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Adverse Effects of Ozone Pollution on Net Primary Productivity in the North China Plain

Long,

Han,

Wang

et al. 2023

Geophysical Research Letters

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Tropospheric ozone significantly damages vegetation and reduces net primary productivity (NPP). We developed a stable linear NPP response model based on accumulated ozone exposure over a threshold of 40 parts per billion (ppb) (AOT40). We then estimated the effects of regional ozone damage on NPP for different vegetation types. The study suggests an average decrease in NPP of 24.7% due to ozone pollution in the North China Plain, similar to previous estimates ranging from 10.1% to 24.7%, with a maximum reduction exceeding 200 [g C m‐2 yr‐1] and more than 50%. Vegetation types such as broadleaf forests, needleleaf forest, crops, and grasses showed significant NPP decreases of 47.1%, 37.8%, 36.7%, and 44.6%, respectively. Declining NPP also had negative impacts on several Chinese crop species. Our work highlights the need for urgent and effective action to mitigate ozone pollution's substantial detrimental effects on ecosystem health and productivity.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Adverse Effects of Ozone Pollution on Net Primary Productivity in the North China Plain

Long,

Han,

Wang

et al. 2023

Geophysical Research Letters

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“…China is a large grain production country. The increase of the ozone content will lead to the decrease of grain production of wheat and rice, and the food supply will be threatened [ 32 , 33 ]. In the future, air pollution control policies with higher targets should be formulated to further curb the rising trend of ozone, so as to fully guarantee public health and food security.…”

Section: Discussionmentioning

confidence: 99%

Effects of Seasonal Variation on Spatial and Temporal Distributions of Ozone in Northeast China

Chen

Sun

Jia

et al. 2022

IJERPH

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The levels of tropospheric ozone (O3) are closely related to regional meteorological conditions, precursor emissions, and geographical environments, which have a significant negative impact on human health. The concentrations of O3 were relatively low, while the spatial distribution was strongly heterogeneous in Northeast China; however, little is known about how the influencing factors affect the distribution of O3 in Northeast China. Here, the O3 concentration, meteorological observation data, precursors (NO2), and vegetation coverage data from 41 monitoring cities in Northeast China from 2017 to 2020 were collected and analyzed. The spatial–temporal distributions and evolution characteristics of O3 concentrations were investigated using statistical analysis, kriging interpolation, spatial autocorrelation analysis, cold–hot spot analysis, and geographic detectors, and the effects of meteorological factors, NO2, and green land area on O3 concentrations were evaluated seasonally and spatially. The results showed that O3 pollution in Northeast China was generally at a relatively low level and showed a decreasing trend during 2017–2020, with the highest concentrations in the spring and the lowest concentrations in the autumn and winter. May–July had relatively high O3 concentrations, and the over-standard rates were also the highest (>10%). The spatial distribution showed that the O3 concentration was relatively high in the south and low in the northeast across the study area. A globally significant positive correlation was derived from the spatial autocorrelation analysis. The cold–hot spot analysis showed that O3 concentrations exhibited spatial agglomerations of hot spots in the south and cold spots in the north. In Northeast China, the south had hot spots with high O3 pollution, the north had cold spots with excellent O3 levels, and the central region did not exhibit strong spatial agglomerations. A weak significant negative correlation between O3 and NO2 indicated that the emissions of NOx derived from human activities have weak effects on the O3 concentrations, and wind speed and sunshine duration had little effect on spatial differentiation of the O3 concentrations. Spatial variability in O3 concentrations in the spring and autumn was mainly driven by temperature, but in the summer, the influence of temperature was weakened by the relative humidity and precipitation; no factor had strong explanatory power in the winter. The temperature was the only controlling factor in hot spots with high O3 concentrations. In cold spots with low O3 concentrations, the relative humidity and green land area jointly affected the spatial distributions of O3.

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Three‐dimensional evaluation framework of hazard–exposure–vulnerability for mapping heatwave risk and associated dominant dimensions in China

Liu,

Zhang,

Ren

et al. 2024

Intl Journal of Climatology

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In the context of global warming, the frequency, intensity, and duration of heatwave events have markedly increased, bearing profound implications for both natural ecosystems and human societies. To effectively cope with this challenge, it is imperative to accurately identify and comprehensively assess the risks posed by heatwaves. This study undertakes a systematic approach and robust methodology to assess heatwave risks by leveraging a diverse array of data sources—encompassing remote sensing, statistical analyses. The methodology integrates the risk triangle theory alongside established risk assessment frameworks laid out by the Intergovernmental Panel on Climate Change (IPCC). Employing a three‐dimensional evaluation framework encompassing hazard, exposure, and vulnerability, we unravel spatial–temporal patterns, high‐risk zones, and dominant dimensions of heatwave risks contributing to potential disasters. Results indicated that during 1999–2008, roughly 27% of the study areas were affected by high and above risk levels of heatwaves, and the areas with high and very high hazard, exposure, and vulnerability accounted for approximately 19.5%, 10%, and 32.5%, respectively. During 2009–2018, the proportion of areas with high and very high risk, hazard, and exposure increased to about 31%, 26%, and 14%, respectively, while the percentage of areas with high and very high vulnerability decreased to about 24.43%. Notably, Xinjiang and the western part of Northwestern China are characterized by hazard‐dominant conditions, while Southern China's risk profile has shifted from 1999–2008 to 2009–2018 from high hazard and vulnerability conditions to a more complex interaction involving hazard, exposure, and vulnerability. Moreover, Northern China and the northern segment of Southwestern China exhibit simultaneous high‐risk rankings across hazard, exposure, and vulnerability dimensions, forming a comprehensive high‐risk zone. These findings characterize heatwave risk patterns and offer critical insights for risk management decisions, guiding effective disaster prevention and relief measures to ensure socio‐economic stability and public health.

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Satellite-Observed Effects from Ozone Pollution and Climate Change on Growing-Season Vegetation Activity over China during 1982–2020

Cited by 18 publications

References 32 publications

Adverse Effects of Ozone Pollution on Net Primary Productivity in the North China Plain

Adverse Effects of Ozone Pollution on Net Primary Productivity in the North China Plain

Effects of Seasonal Variation on Spatial and Temporal Distributions of Ozone in Northeast China

Three‐dimensional evaluation framework of hazard–exposure–vulnerability for mapping heatwave risk and associated dominant dimensions in China

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