Effects of nighttime warming and changing precipitation on soil microclimate in three temperate steppes along a precipitation gradient

Abstract Background Soil microclimate plays critical roles in influencing terrestrial ecosystem functioning. However, how the impacts of climatic change on microclimate vary with vegetation types remains elusive. Methods Using a 9-year (2014–2022) dataset from a field manipulative experiment conducted on the Mongolian Plateau, this study examined the effects of nighttime warming and changing precipitation on soil microclimate of three temperate steppes (i.e., desert, typical, and meadow steppes) along a precipitation gradient. Results Over the 9 years, nighttime warming increased soil temperature by 0.88, 0.78, and 0.65 °C, decreased precipitation elevated it by 0.63, 0.34, and 0.24 °C, but increased precipitation lowered it by 0.46, 0.84, and 0.90 °C in the desert, typical, and meadow steppes, respectively. Nighttime warming suppressed soil moisture by 0.64% (v/v) in the meadow steppe only. Decreased precipitation reduced soil moisture by 0.84, 0.88, and 1.30%, whereas increased precipitation enhanced it by 0.92, 1.23, and 1.24% in the desert, typical, and meadow steppes, respectively. The response of soil microclimate to the simulated climate change was primarily driven by evaporation, transpiration, and plant cover in the desert and typical steppes, whereas transpiration and plant cover explained those changes in the meadow steppe. Conclusions These findings of the variations of underlying mechanisms of soil microclimate response to climate change with water conditions can improve predictions of ecosystem carbon cycling across diverse grassland ecosystems.

Authors

Institutions

Publication Details

Journal
Ecological Processes
Published
2025-11-27
DOI
https://doi.org/10.1186/s13717-025-00655-4
Citations
2
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
3.43

Funders

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

Effects of nighttime warming and changing precipitation on soil microclimate in three temperate steppes along a precipitation gradient

Guilin Zhou, Pengfei Yang, Haidao Wang, Benqing Li et al.
2 citations
Ecological Processes
Remote Sensing in Agriculture
3.43
article

Effects of nighttime warming and changing precipitation on soil microclimate in three temperate steppes along a precipitation gradient

Guilin Zhou, Pengfei Yang, Haidao Wang, Benqing Li, Shiqiang Wan, Xueli Qiu, Jingyi Ru, Qingshan Zhang, Jiaxin Zhou, Tiantian Bao, Fuxing Guo, Jiajun Zhang
article en
2 citations

Abstract

Abstract Background Soil microclimate plays critical roles in influencing terrestrial ecosystem functioning. However, how the impacts of climatic change on microclimate vary with vegetation types remains elusive. Methods Using a 9-year (2014–2022) dataset from a field manipulative experiment conducted on the Mongolian Plateau, this study examined the effects of nighttime warming and changing precipitation on soil microclimate of three temperate steppes (i.e., desert, typical, and meadow steppes) along a precipitation gradient. Results Over the 9 years, nighttime warming increased soil temperature by 0.88, 0.78, and 0.65 °C, decreased precipitation elevated it by 0.63, 0.34, and 0.24 °C, but increased precipitation lowered it by 0.46, 0.84, and 0.90 °C in the desert, typical, and meadow steppes, respectively. Nighttime warming suppressed soil moisture by 0.64% (v/v) in the meadow steppe only. Decreased precipitation reduced soil moisture by 0.84, 0.88, and 1.30%, whereas increased precipitation enhanced it by 0.92, 1.23, and 1.24% in the desert, typical, and meadow steppes, respectively. The response of soil microclimate to the simulated climate change was primarily driven by evaporation, transpiration, and plant cover in the desert and typical steppes, whereas transpiration and plant cover explained those changes in the meadow steppe. Conclusions These findings of the variations of underlying mechanisms of soil microclimate response to climate change with water conditions can improve predictions of ecosystem carbon cycling across diverse grassland ecosystems.

Ecological ProcessesVol. 14(1)
Hebei University (CN), Henan Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Remote Sensing in Agriculture
3.43
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.