The Widely Increasing Sensitivity of Vegetation Productivity to Phenology in Northern Middle and High Latitudes

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

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Publication Details

Journal
Geophysical Research Letters
Published
2025-02-12
DOI
https://doi.org/10.1029/2024gl113892
Citations
6
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
10.30

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article

The Widely Increasing Sensitivity of Vegetation Productivity to Phenology in Northern Middle and High Latitudes

Changhui Peng, Xiaolu Zhou, Longjun Wang, Ying Peng et al.
6 citations
Geophysical Research Letters
Remote Sensing in Agriculture
10.30
article

The Widely Increasing Sensitivity of Vegetation Productivity to Phenology in Northern Middle and High Latitudes

Changhui Peng, Xiaolu Zhou, Longjun Wang, Ying Peng, Ziying Zou, Peixin Ren, Peng Li, Yuzhu Chen, Zicheng Yang
article en
6 citations

Abstract

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

Geophysical Research LettersVol. 52(4)
Université du Québec à Montréal (CA), Hunan Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 2%
Remote Sensing in Agriculture
10.30
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