Impacts of temporal-spatial compound extreme heat and drought on oil crops in China

Dietary diversification increased edible vegetable oil (EVO) demand. Climate change intensifies temporal-spatial compound extreme heat and drought (terms to above extremes co-occurring spatially and temporally), risking nationwide oil crops production and EVO supply, but were rarely quantified. We developed a panel model using heat degree days (HDD), Standardized Precipitation Evapotranspiration Index (SPEI), irrigation conditions, and year (representing agricultural technology) as yield predictors. Year-types were categorized by extreme climate-induced production losses: normal, temporal-spatial extreme heat (HDD change), temporal-spatial drought (SPEI change), and temporal-spatial compound extreme heat and drought (HDD and SPEI change). Historical, extreme heat and drought caused a 6.6% (4.0%), 5.6% (3.6%), and 3.5% (2.1%) yield loss for soybean, peanut, and rapeseed without (with) irrigation, respectively. Future temporal-spatial compound extreme years: crop yields would decrease over 14.0% (12.8%), EVO self-sufficiency rate would decrease to 15.5–16.5% (19.0–21.9%) without (with) area expanding, indicating alarming oil crop yield reduction under extreme climate.

Authors

Institutions

Publication Details

Journal
npj Sustainable Agriculture
Published
2026-02-02
DOI
https://doi.org/10.1038/s44264-025-00123-8
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Impacts of temporal-spatial compound extreme heat and drought on oil crops in China

Zhentao Zhang, Jin Zhao, Zhijuan Liu, Xiaoguang Yang et al.
npj Sustainable Agriculture
Climate change impacts on agriculture
article

Impacts of temporal-spatial compound extreme heat and drought on oil crops in China

Zhentao Zhang, Jin Zhao, Zhijuan Liu, Xiaoguang Yang, Shibo Guo, Chuang Zhao
article en

Abstract

Dietary diversification increased edible vegetable oil (EVO) demand. Climate change intensifies temporal-spatial compound extreme heat and drought (terms to above extremes co-occurring spatially and temporally), risking nationwide oil crops production and EVO supply, but were rarely quantified. We developed a panel model using heat degree days (HDD), Standardized Precipitation Evapotranspiration Index (SPEI), irrigation conditions, and year (representing agricultural technology) as yield predictors. Year-types were categorized by extreme climate-induced production losses: normal, temporal-spatial extreme heat (HDD change), temporal-spatial drought (SPEI change), and temporal-spatial compound extreme heat and drought (HDD and SPEI change). Historical, extreme heat and drought caused a 6.6% (4.0%), 5.6% (3.6%), and 3.5% (2.1%) yield loss for soybean, peanut, and rapeseed without (with) irrigation, respectively. Future temporal-spatial compound extreme years: crop yields would decrease over 14.0% (12.8%), EVO self-sufficiency rate would decrease to 15.5–16.5% (19.0–21.9%) without (with) area expanding, indicating alarming oil crop yield reduction under extreme climate.

npj Sustainable AgricultureVol. 4(1)
Hebei Meteorological Bureau (CN), China Agricultural University (CN)
China Agricultural University, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 77%
Climate change impacts on agriculture
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.