ArticleiScience2026
Past trajectories and future landscapes of urban drought resilience in China.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frequent droughts under global climate change threaten ecological security and sustainable urban development. Drought resilience (DR) denotes the capacity of urban systems to resist, absorb, adapt to, and recover from drought disturbances. This study develops an integrated framework to assess, diagnose, and forecast DR across 288 Chinese cities. Results show that China's DRI-C increased steadily from 2007 to 2021, with an average annual growth rate of 1.38%, but marked regional disparities persisted, with higher DR in eastern coastal areas and lower DR in the northwest. Significant spatial clustering was observed, including high-high (H-H) agglomerations in Zhejiang, Fujian, and Guangdong and low-low (L-L) agglomerations in the North China Plain, Hexi Corridor, and Northeast Plain. Precipitation was the key climatic driver of DR, whereas temperature and wind speed were statistically insignificant in the panel vector auto regression (PVAR) model. By 2050, DRI-C is projected to increase by 16.6% under SSP1-2.6, while showing slightly weaker growth under SSP5-8.5.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.