Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Multimodel simulations revealed strong spatial heterogeneity in temperature‐, photoperiod‐ and moisture‐driven modes of autumn phenology in Northern Hemisphere grasslands (25° N–55° N)

Bibliographic Data

ID21649230
AuthorsYating Li (0009-0005-3045-8332, Department of Environmental Sciences University of Basel Basel Switzerland), Shilong Ren (0000-0002-7806-6179, Big Data Research Center for Eco‐Environment, Environmental Research Institute Shandong University Qingdao China, corresponding author)
Year2023
Volume34
Issue18
Pages6009-6020
Publication date2023-12-01
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.4893
OpenAlexW4386460637
LanguageEN
References cited55

Autumn phenology plays a critical role in regulating growing season length and matter and energy exchanges in terrestrial ecosystems. The climate‐driven mechanism of the grassland autumn phenology process and its spatial distribution patterns at the hemispheric scale are, however, still poorly understood. In this study, we employed 17 existing and modified models to simulate the satellite‐derived end‐of‐season (EOS) over northern mid‐latitude grasslands (25° N–55° N), aiming to determine how grassland autumn phenology responds to individual and combined changes in low temperature, photoperiod, and water supply. The results showed that the prediction accuracy of EOS based on models driven by daily minimum temperature is slightly superior to that of the counterparts forced by daily average temperature. The model modified with water content as a regulatory factor of leaf senescence rate determined by low temperature and photoperiod performed best (root‐mean‐square error, 10.4 days; correlation coefficient, 0.38) on average. The autumn phenology process in 68.4% of grassland areas was better simulated by the models that incorporated water conditions. Spatially, optimal models jointly forced by low temperature, photoperiod, and water supply occupied 61.4% of the North American grasslands, 58.5% of the Central‐West Asian grasslands, and 42.1% of the Mongolian grasslands. Grasslands on the Tibetan Plateau were primarily forced by the associated effects of low temperature and photoperiod. Further analysis revealed that low temperature‐photoperiod driven models and low temperature‐photoperiod‐moisture driven models were mostly distributed in relatively hotter and wetter grasslands, while optimal models forced solely by low temperature were largely concentrated in those grassland areas with cooler and drier autumn. Overall, this study highlights the complex patterns and spatial heterogeneity of environmental control on autumn phenology in the Northern Hemisphere grasslands, which could shed light on global grassland development investigation

Agronomy · Atmospheric sciences · Biology · Botany · Climatology · Ecosystem · Geography · Grassland · Growing season · Latitude · Meteorology · Northern Hemisphere · Phenology · photoperiodism · Physical geography · Precipitation · Terrestrial ecosystem · Water content · Environmental Science · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Ecology

  • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter

    Open Access•Jin Chen, Chen Jin et al.•Remote Sensing of Environment•2004

  • The important role of soil moisture in controlling autumn phenology of herbaceous plants in the Inner Mongolian steppe

    Open Access•Zexing Tao, Quansheng Ge et al.•Land Degradation and Development•2021

Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae