Divergent Drivers of Declining Urban Vegetation Productivity and Transpiration During Heatwaves

Abstract Heatwave events, characterized by high vapor pressure deficit (VPD) and low soil moisture (SM), considerably disrupt the regional carbon and water cycle. However, research pertaining to the impact of heatwaves on vegetation productivity (VP u ) and vegetation transpiration (VT u ), along with their underlying drivers, particularly in urban areas, remains limited. This study investigates the response of VP u and VT u to heatwave events across 895 global cities from 1990 to 2022. The analysis reveals a notable upward trend in the average heatwave frequency, intensity, and duration across the global cities. Heatwave events demonstrate a detrimental impact on VP u and VT u , resulting in an average decrease of 28% and 26%, respectively, during heatwave occurrences. The attribution analysis reveals divergent driving factors for the decline in VP u and VT u during heatwaves. The decrease in VP u is primarily influenced by SM, contributing 60% to the downward trend of VP u during heatwaves. Notably, VP u displays a sharp downward trend when SM falls below 0.38 m 3 /m 3 . In contrast, the primary driver of VT u decline is VPD, contributing more than 66% to the downward trend of VT u during heatwave events. VT u exhibits a significant downward trend when VPD exceeds 1.35 kPa. The results of this study show the important effects of increasingly frequent heatwaves on vegetation transpiration and productivity, and that can be used as quantitative factor to be evaluated when investigating policy measures for the resilience of urban areas.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2024-11-23
DOI
https://doi.org/10.1029/2023jd040390
Citations
3
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Divergent Drivers of Declining Urban Vegetation Productivity and Transpiration During Heatwaves

Jinhui Jeanne Huang‬‬‬‬, Yizhao Wei, Han Chen
3 citations
Journal of Geophysical Research Atmospheres
Remote Sensing in Agriculture
1.38
article

Divergent Drivers of Declining Urban Vegetation Productivity and Transpiration During Heatwaves

Jinhui Jeanne Huang‬‬‬‬, Yizhao Wei, Han Chen
article en
3 citations

Abstract

Abstract Heatwave events, characterized by high vapor pressure deficit (VPD) and low soil moisture (SM), considerably disrupt the regional carbon and water cycle. However, research pertaining to the impact of heatwaves on vegetation productivity (VP u ) and vegetation transpiration (VT u ), along with their underlying drivers, particularly in urban areas, remains limited. This study investigates the response of VP u and VT u to heatwave events across 895 global cities from 1990 to 2022. The analysis reveals a notable upward trend in the average heatwave frequency, intensity, and duration across the global cities. Heatwave events demonstrate a detrimental impact on VP u and VT u , resulting in an average decrease of 28% and 26%, respectively, during heatwave occurrences. The attribution analysis reveals divergent driving factors for the decline in VP u and VT u during heatwaves. The decrease in VP u is primarily influenced by SM, contributing 60% to the downward trend of VP u during heatwaves. Notably, VP u displays a sharp downward trend when SM falls below 0.38 m 3 /m 3 . In contrast, the primary driver of VT u decline is VPD, contributing more than 66% to the downward trend of VT u during heatwave events. VT u exhibits a significant downward trend when VPD exceeds 1.35 kPa. The results of this study show the important effects of increasingly frequent heatwaves on vegetation transpiration and productivity, and that can be used as quantitative factor to be evaluated when investigating policy measures for the resilience of urban areas.

Journal of Geophysical Research AtmospheresVol. 129(22)
Tianjin University (CN), Shenzhen University (CN), Nankai University (CN), City University of Hong Kong, Shenzhen Research Institute (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Shenzhen Science and Technology Innovation Program
Sustainable cities and communities
Openalex Percentile: Top 17%
Remote Sensing in Agriculture
1.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.