Jun Wang

East China Normal University

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Jinkai Tan

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

Chunlan Li

East China Normal University

Qian Yao

East China Normal University

Xinmeng Shan

Institute of Mountain Hazards and Environment

Hanqing Xu

East China Normal University

Yiying Niu

East China Normal University

Mengya Li

Jiangsu Provincial Academy of Environmental Science

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East China Normal University

Chinese Academy of Sciences

Northwest Institute of Eco-Environment and Resources

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

Sun Yat-sen University

Key Laboratory of Guangdong Province

Xinjiang Institute of Ecology and Geography

Lingnan Normal University

Guangxi Normal University

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Exploring the Dynamic Impact of Extreme Climate Events on Vegetation Productivity under Climate Change

Forests (2023)

Hanqing Xu Jinkai Tan Chunlan Li Yiying Niu Jun Wang

As global warming continues to intensify, the relationship between diurnal temperature range (DTR) and vegetation productivity continues to change over time. However, the impact of DTR changes on vegetation activities remains uncertain. Thus, further study about how DTR changes affect the physiological activities of plants is also urgently needed. In this study, we employed copula function theory to analyze the impact of DTR on Normalized Difference Vegetation Index (NDVI) values during the spring, summer, and autumn seasons from 1982 to 2014 for various land types in the Inner Mongolia Plain (IMP), China. The results showed that the relationship between DTR and NDVI in the IMP was characterized by correlation at the upper tail and asymptotical independence at the lower tail. This demonstrated that the DTR had little effect on NDVI when they reached their minimum value. However, it has a significant impact on NDVI at its maximum values. This study provides valuable insight into the dynamic impact of monthly DTR on different land use types under climate change.

Global Change

10.3390/f14040744

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The Impact of Floods on the Mobility of Automobile Commuters in Shanghai Under Climate Change

International Journal of Disaster Risk Science (2024)

Qian Yao Xinmeng Shan Mengya Li Jun Wang

Abstract As sea level rises, low-lying coastal cites face increasing threat of flood disruption, particularly in terms of human mobility. Commuters are vulnerable to bad weather, as it is difficult to cancel trips even in extreme weather conditions. Using Shanghai’s automobile commuting population as an example, we categorized commuters by travel distance and income level to assess disruptions and delays due to floods, considering future sea level rise. The results show that local flooding disrupts commuting patterns by affecting roadways, with disruption decreasing with distance from the flooded area. This offers a mobility perspective on the indirect impacts of floods. During baseline flood events, long-distance commuters and the low-income group are most affected, while short-distance commuters and the high-income group are less impacted. As sea level rises, floods will threaten all commuting groups, especially the high-income group. Using inaccessibility-commuting delay bivariate maps, this study revealed how socioeconomic differences impact mobility recovery after floods under climate change. The research highlights the differential impacts of floods on various socioeconomic groups in the context of climate change, offering insights for future urban planning and disaster mitigation strategies.

Extreme Weather

10.1007/s13753-024-00604-3

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