# Drought characteristics and their impact on vegetation net primary productivity in the climate-sensitive transition zones of North China

**Authors:** Xueying Zhang, Bo Zhang, Xiao Hou, Di An, Zhexi Wu, Bao Yang, Bao Yang, Bao Yang, Bao Yang

PMC · DOI: 10.1371/journal.pone.0343746 · PLOS One · 2026-02-25

## TL;DR

This study examines how droughts in North China's climate-sensitive regions affect plant productivity and carbon absorption, finding that grasslands are most vulnerable while forests show resilience.

## Contribution

The study introduces a multi-temporal drought analysis framework using SPEI and SSMI to assess NPP dynamics in climate-sensitive transition zones.

## Key findings

- Droughts showed a slight easing trend from 2001 to 2020, with frequent short-duration, high-intensity events.
- Grasslands exhibited the highest NPP growth rate (8.02g C·m-2a-1) and were most sensitive to drought.
- Forests showed drought resistance and delayed responses, with significant seasonal NPP-SPEI correlations.

## Abstract

Net Primary Productivity (NPP) serves as a key measure of ecosystem production capacity and carbon absorption ability. Evaluating the arid characteristics and their NPP impact in the climate-sensitive transition zones of North China (North China’s humid and semi-humid warm temperate regions) is vital for studying regional climate change, improving ecosystem adaptation, and promoting sustainable development. We analyze drought characteristics at multiple temporal scales (2001−2020) using the Standardized Potential Evapotranspiration Index (SPEI) and Standardized Soil Moisture Index (SSMI). The Carnegie-Ames-Stanford approach (CASA) model was employed to simulate and estimate NPP values, quantify NPP dynamics, and assess vegetation productivity responses to drought stress. We found that droughts showed a slight easing trend from 2001 to 2020. Over the long term, drought intensity and extent were relatively minor. Over the short term, there were frequent occurrences of short-duration, high-intensity droughts. Overall, NPP showed an upward trend, with a decreasing spatial distribution from the central and north-central regions toward the east and west. The fastest average annual growth rate was observed in grassland NPP (8.02g C·m-2a-1), followed by woodland (4.03g C·m-2a-1). Precipitation is an important factor that affects vegetation NPP. Areas with a high correlation between NPP and SPEI-12 are primarily grasslands. Significant relationships exist between NPP and seasonal SPEI-3: positive in summer and negative in winter. Grasslands are most sensitive to drought; forests, on the other hand, exhibit drought resistance and a delayed response to such conditions.

## Full-text entities

- **Genes:** POMC (proopiomelanocortin) [NCBI Gene 5443] {aka ACTH, CLIP, LPH, MSH, NPP, OBAIRH}
- **Diseases:** crop loss (MESH:D016388), water balance (MESH:D000069578), ACADEMIC EDITOR (MESH:D007859), Drought (MESH:C536747), SSMI (MESH:D005242)
- **Chemicals:** carbon (MESH:D002244), Water (MESH:D014867), -D (MESH:D003903), GPP (-)
- **Species:** Meleagris gallopavo (common turkey, species) [taxon 9103], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

74 references — full list in the complete paper: https://tomesphere.com/paper/PMC12935246/full.md

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Source: https://tomesphere.com/paper/PMC12935246