Cited by Assessing the Spatiotemporal variability and trends of rainfall, temperature, and NDVI in Saudi Arabia from 1980 to 2011 using meteorological station data and google earth engine

Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management DOI

Liwen Chen,

Boting Hu,

Jingxuan Sun

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 309, P. 109353 - 109353

Published: Feb. 2, 2025

Language: Английский

Citations

Future Extreme Climate Events Threaten Alpine and Subalpine Woody Plants in China DOI

Yongru Wu,

Jian Shen, David C. Deane

et al.

Earth s Future, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 1, 2025

Abstract Increases in the frequency, intensity, and duration of extreme climate events (ECEs) are already impacting ecosystems, with many strongest effects associated high‐elevation areas. Most research on ecological impacts change has focused climatic averages, which might differ from ECEs. Rhododendron , a diverse genus alpine subalpine woody plant, plays crucial role ecosystem stability biodiversity hotspots Himalayas Hengduan Mountains. Here, we compared predicted average those including ECEs 189 species China for historical period (1981–2010) future (2071–2100) under two emissions scenarios (SSP2‐4.5 SSP5‐8.5). We analyzed changes suitable habitat patterns richness, weighted endemism, phylogenetic diversity, identifying areas coinciding high‐risk as priority conservation Inclusion altered projected across all an increase over 3% to decrease exceeding 10%, distribution most strongly influenced by extremes drought high temperatures. found fewer than 18% diversity loss were currently protected, mainly located Daxue, Daliang, Wumeng, Jade Dragon Snow Mountains, well Nyingchi. suggest inclusion is critical when projecting distributions effective planning change.

Language: Английский

Citations

Examining future spatiotemporal changes in blue and green water using an enhanced SWAT model: A Jialing River basin case study DOI

Mingyan Wu, Fuquan Ni, Yu Deng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112941 - 112941

Published: Dec. 12, 2024

Language: Английский

Citations

Assessing the Spatiotemporal variability and trends of rainfall, temperature, and NDVI in Saudi Arabia from 1980 to 2011 using meteorological station data and google earth engine DOI

Sulafa Hag-elsafi,

Yusra Elkamali,

Abeer Salman

et al.

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 156(1)

Published: Dec. 28, 2024

Language: Английский

Citations