Interpreting the influences of multiple factors on forcing requirements of leaf unfolding date by explainable machine learning algorithms DOI Creative Commons
Chengxi Gao, Huanjiong Wang, Quansheng Ge

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112402 - 112402

Опубликована: Июль 26, 2024

Язык: Английский

Sensitivity of First Leaf Date to Temperature Change for Typical Woody Plants in Guiyang, China DOI Open Access

Wenjie Huang,

Lijuan Cao, Junhu Dai

и другие.

Forests, Год журнала: 2025, Номер 16(2), С. 300 - 300

Опубликована: Фев. 9, 2025

The temperature sensitivity of plant phenology reflects how and to what extent plants respond climate change is significantly related their ability adapt change. Previous studies on the first leaf date (FLD) primarily focus temperate regions, with relatively few conducted in subtropical areas. This study analyzed observational data FLD 63 typical woody species from 1980 2019 Guiyang, located zone China. We quantified trend its changes then assessed impact sample size stability estimates. results showed that (1) significant warming occurred Guiyang during period, largest occurring spring. (2) vast majority (95.2%) an earlier period (19.0% at p < 0.05). most ranged −3 −1 days decades−1. median trends for all investigated was 1.97 (3) interannual variation negatively correlated preseason average (p Most between −5 °C−1, a mean −4.53 °C−1. (4) influenced Using randomly selected 20-year could limit standard deviation estimate 0.3 These suggest unfolding track closely like species. should be estimated based long-term observation data.

Язык: Английский

Процитировано

0
The Widely Increasing Sensitivity of Vegetation Productivity to Phenology in Northern Middle and High Latitudes DOI Creative Commons
Longjun Wang, Peng Li, Y. Peng

и другие.

Geophysical Research Letters, Год журнала: 2025, Номер 52(4)

Опубликована: Фев. 12, 2025

Abstract Although vegetation phenology generally alters productivity, spatiotemporal variations in this effect and its potential drivers remain unclear. We used satellite‐based gross primary productivity (GPP) data sets to analyze trends the sensitivity of spring GPP (spring S GP ) autumn (autumn ). also explored across northern middle high latitudes (>30°N) from 2001 2019. Our analysis revealed significant increases ( P < 0.05), with pronounced boreal forests tundra biomes. In contrast, significantly declined deserts xeric shrublands 0.05). Spring temperatures leaf area index (LAI) were key factors influencing , while LAI downward surface solar radiation drove variation . findings highlight critical role phenology‐productivity interactions achieving carbon goals need for future research on climate feedback mechanisms.

Язык: Английский

Процитировано

0
Impacts of meteorological drought on peak vegetation productivity of grasslands from perspectives of canopy structure and leaf physiology DOI
Wenrui Bai, Huanjiong Wang, Jingfeng Xiao

и другие.

International Journal of Biometeorology, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

0
Changes in peak greenness timing and senescence duration codetermine the responses of leaf senescence date to drought over Mongolian grassland DOI
Wenrui Bai, Huanjiong Wang, Junhu Dai

и другие.

Agricultural and Forest Meteorology, Год журнала: 2023, Номер 345, С. 109869 - 109869

Опубликована: Дек. 21, 2023

Язык: Английский

Процитировано

5
Turning Points in Vegetation Phenology Trends and Their Relationship to Climate in Arid Central Asia DOI
X.H. Nie, Xuan Zhang, Fanghua Hao

и другие.

Journal of Geophysical Research Biogeosciences, Год журнала: 2024, Номер 129(8)

Опубликована: Авг. 1, 2024

Abstract Grassland phenology is highly sensitive to climate change. Here, we investigate the spatiotemporal patterns of start (start season (SOS)) and end (end (EOS)) dates growing quantify changes in their climatic controls over arid Central Asian grassland ecosystems during 1982–2015, which may improve model performance by considering shifts primary drivers under ongoing Our results suggest that temperature played a positive role advancing SOS date, with control on getting stronger as preseason conditions become warmer but not drier. For autumn phenology, rapid increase after 1999 combination reductions precipitation jointly contributed shift from delayed advanced EOS. The areas EOS regulated either or have changed between two subperiods. findings dynamic difference spring should be built into phenological models more accurately.

Язык: Английский

Процитировано

1
Interpreting the influences of multiple factors on forcing requirements of leaf unfolding date by explainable machine learning algorithms DOI Creative Commons
Chengxi Gao, Huanjiong Wang, Quansheng Ge

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112402 - 112402

Опубликована: Июль 26, 2024

Язык: Английский

Процитировано

0