ArticleiScience2026
Responses of China's dry grassland low-growth to temperature- and water-related extremes.
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.
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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.
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Authors and funding
6 authors.
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Abstract
Grasslands in arid and semi-arid regions are highly vulnerable to climate change. While extreme climate events (ECEs) affect vegetation, the relative impacts of temperature-related (heat/cold) versus water-related (drought/wetness) extremes remain unclear. Using coincidence analysis and structural equation modeling across China's drylands, we identified distinct spatial responses: extreme heat suppressed temperate grasslands, whereas extreme cold suppressed alpine grasslands. Extreme drought offsets the positive effect of extreme heat on alpine vegetation. These impacts reflect differing sensitivities to ECEs. Greenness (NDVI) and productivity (GPP) responses were generally consistent, except on the southern Tibetan Plateau, where heat extremes affected NDVI-based low-growth extremes while cold extremes impacted GPP-based low-growth extremes. Our findings highlight the divergent pathways of ECE impacts, providing crucial insights for ecosystem management under climate change.
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