Analysis of Changes in Forest Vegetation Peak Growth Metrics and Driving Factors in a Typical Climatic Transition Zone: A Case Study of the Funiu Mountain, China DOI Creative Commons
Jiao Tang, Huimin Wang,

Nan Cong

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2921 - 2921

Published: Aug. 9, 2024

Phenology and photosynthetic capacity both regulate carbon uptake by vegetation. Previous research investigating the impact of phenology on vegetation productivity has focused predominantly start end growing seasons (SOS EOS), leaving influence peak metrics—particularly in typical climatic transition zones—relatively unexplored. Using a 24-year (2000–2023) enhanced index (EVI) dataset from Moderate Resolution Imaging Spectroradiometer (MODIS), we extracted examined spatiotemporal variation for season (POS) growth (defined as EVImax) forest Funiu Mountain region, China. In addition to quantifying factors influencing metrics, relationship between phenological metrics (POS was investigated. Our findings reveal that POS EVImax showed advancement increase, respectively, negatively positively correlated with productivity. This suggested variations increase analysis also heavily impacted precipitation, whereas SOS had greatest effect variation. highlighted significance considering climate variables well biological rhythms when examining global cycle shifts response change.

Language: Английский

China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests DOI Creative Commons
Kai Cheng, Yixuan Zhang, Haitao Yang

et al.

Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)

Published: May 5, 2025

Language: Английский

Citations

0

Influence of Early-Season Drought on the Peak of Growing Season in China Varies by Drought Timing and Biomes DOI Open Access
Zexing Tao, Junhu Dai, Xiaoyue Wang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(6), P. 1027 - 1027

Published: June 13, 2024

The peak of growing season (POG) represents the timing maximum capacity vegetation photosynthesis and acts as a crucial phenological indicator for carbon cycle in terrestrial ecosystems. However, little is known about how POG responds to extreme climate events such drought across different biomes. Based on two indices, we analyzed temporal–spatial pattern China then investigated influenced periods early through correlation analysis. In general, trend towards increased aridity earlier was found most areas. impact differed among periods. On one hand, an enabled plants reduce evapotranspiration mitigate risk severe summer drought. other that occurred spring impeded plant growth caused delay phenology, thereby postponing POG. Summer led relatively dry biomes but inversely later photosynthetic activity wetter We also observed 1-month/2-month lagged effect almost half areas 2-month/ 3-month cumulative north 50° N. These findings enhance our understanding uptake ecosystems by clarifying mechanisms which change impacts activity.

Language: Английский

Citations

1

Analysis of Changes in Forest Vegetation Peak Growth Metrics and Driving Factors in a Typical Climatic Transition Zone: A Case Study of the Funiu Mountain, China DOI Creative Commons
Jiao Tang, Huimin Wang,

Nan Cong

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(16), P. 2921 - 2921

Published: Aug. 9, 2024

Phenology and photosynthetic capacity both regulate carbon uptake by vegetation. Previous research investigating the impact of phenology on vegetation productivity has focused predominantly start end growing seasons (SOS EOS), leaving influence peak metrics—particularly in typical climatic transition zones—relatively unexplored. Using a 24-year (2000–2023) enhanced index (EVI) dataset from Moderate Resolution Imaging Spectroradiometer (MODIS), we extracted examined spatiotemporal variation for season (POS) growth (defined as EVImax) forest Funiu Mountain region, China. In addition to quantifying factors influencing metrics, relationship between phenological metrics (POS was investigated. Our findings reveal that POS EVImax showed advancement increase, respectively, negatively positively correlated with productivity. This suggested variations increase analysis also heavily impacted precipitation, whereas SOS had greatest effect variation. highlighted significance considering climate variables well biological rhythms when examining global cycle shifts response change.

Language: Английский

Citations

1