Spatiotemporal variability of leaf critical senescence age across northern lands and its key drivers
Leaf senescence, a pivotal phenological event, signifies the aging of vegetation canopies and triggers abrupt shifts in various biogeochemical processes. However, the spatiotemporal pattern of leaf senescence age and its primary driving factors across northern lands remains unclear. In this study, we introduced a concept termed leaf critical senescence age (CSA) to characterize the initiation of senescence stage, which quantifies the time span between the onset dates of vegetation growth and senescence. Then, utilizing long-term remote sensing vegetation index data, we investigated the spatiotemporal variations of leaf CSA over northern lands (>30°N). Spatially, leaf CSA displayed extensive variability (ranging from 42 to 263 days), with an average of 146 ± 32 days. Deciduous broadleaf forests exhibited the longest CSA (177 ± 28 days), while shrublands demonstrated the shortest (121 ± 22 days). Temporally, most plant functional types experienced a reversal in leaf CSA trends around 2010, leading to the contrasting trends between 1982–2010 (+0.21 days/year) and 2010–2015 (−2.36 days/year) across northern lands. Further random-forest regression and partial correlation analysis together indicated that temperature was the dominant factor driving spatiotemporal variations in leaf CSA. These findings suggest that climate warming is reshaping the geographical pattern of leaf senescence age, posing great uncertainty to future projections of terrestrial feedback to climate change . • This study quantified the leaf critical senescence age (CSA) and revealed substantial spatial and temporal variations in leaf CSA across northern lands. • There was a large inter-biome variation in leaf CSA, with deciduous broadleaf forests exhibiting the longest leaf CSA and shrublands the shortest. • Leaf CSA showed reverse trends between 1982–2010 and 2010–2015. • Temperature emerged as the predominant factor influencing the spatiotemporal variations in leaf CSA.
Authors
- Ruiling Lu (ORCID: https://orcid.org/0000-0001-9583-550X)
- Ning Wei (ORCID: https://orcid.org/0000-0003-2864-9568)
- Jiaye Ping (ORCID: https://orcid.org/0000-0003-3427-4328)
- Chenyu Bian (ORCID: https://orcid.org/0000-0002-6439-9167)
- Cuihai You (ORCID: https://orcid.org/0000-0001-5936-7331)
- Jianyang Xia (ORCID: https://orcid.org/0000-0001-5923-6665)
- Songbo Tang (ORCID: https://orcid.org/0000-0001-9334-8089)
- Erqian Cui (ORCID: https://orcid.org/0000-0002-2639-5069)
- Ying Du (ORCID: https://orcid.org/0000-0001-9690-4757)
- Xingli Xia (ORCID: https://orcid.org/0000-0001-5655-8706)
- Kun Huang (ORCID: https://orcid.org/0000-0002-5497-6696)
- Zhiqin Tu (ORCID: https://orcid.org/0009-0007-5899-2865)
Institutions
- East China Normal University (CN)
Publication Details
- Journal
- Global and Planetary Change
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1016/j.gloplacha.2024.104587
- Citations
- 3
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 1.38
Funders
- National Natural Science Foundation of China