Monitoring Autumn Phenology in Understory Plants with a Fine-Resolution Camera

Autumn phenology plays a crucial role in shaping the capacity for carbon sequestration. However, understories, a vital yet often neglected ecosystem component, have complicated autumn phenology prediction. We address the challenge of monitoring understory phenological dynamics by using a UVL4 trail camera and selecting appropriate deriving processes and vegetation indices (VIs). We found the understory photoperiod was on average 1.88 h shorter than the canopy’s, while the understory temperature was 2.11 °C higher than the canopy’s open-air temperature. The maximum temperature inside the understories was on average 1.37 °C lower than in open-air conditions. Specifically, the 60% quantile of the daily VI in July and the 15% quantile in November effectively captured the prolonged minimum and the minimum in the VI time series when applying logistic modeling. The excess green vegetation index (ExG) outperformed other VIs in estimating understory greenness change. The cold degree days model (CDD) and low-temperature and photoperiod multiplicative model (TPM) revealed that senescence progressed from the upper crown downwards, causing over 13 days of lag in the understory. These findings offer a new perspective on quantifying autumn phenology in subtropical forests and provide insights into asynchronous changes in vertical microclimatic gradients in Earth system and vegetation models.

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Publication Details

Journal
Remote Sensing
Published
2025-03-15
DOI
https://doi.org/10.3390/rs17061025
Citations
2
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
3.43

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article

Monitoring Autumn Phenology in Understory Plants with a Fine-Resolution Camera

Jie Peng, Jiabao Yan, Jianliang Zhang, Pinghao Li et al.
2 citations
Remote Sensing
Remote Sensing in Agriculture
3.43
article

Monitoring Autumn Phenology in Understory Plants with a Fine-Resolution Camera

Jie Peng, Jiabao Yan, Jianliang Zhang, Pinghao Li, Huanhuan Yuan, Xiaoyue Wang, Haonan Zhang, Zhi Wang, Wanggu Xu, Fei Lu, Peng Chen
article en
2 citations

Abstract

Autumn phenology plays a crucial role in shaping the capacity for carbon sequestration. However, understories, a vital yet often neglected ecosystem component, have complicated autumn phenology prediction. We address the challenge of monitoring understory phenological dynamics by using a UVL4 trail camera and selecting appropriate deriving processes and vegetation indices (VIs). We found the understory photoperiod was on average 1.88 h shorter than the canopy’s, while the understory temperature was 2.11 °C higher than the canopy’s open-air temperature. The maximum temperature inside the understories was on average 1.37 °C lower than in open-air conditions. Specifically, the 60% quantile of the daily VI in July and the 15% quantile in November effectively captured the prolonged minimum and the minimum in the VI time series when applying logistic modeling. The excess green vegetation index (ExG) outperformed other VIs in estimating understory greenness change. The cold degree days model (CDD) and low-temperature and photoperiod multiplicative model (TPM) revealed that senescence progressed from the upper crown downwards, causing over 13 days of lag in the understory. These findings offer a new perspective on quantifying autumn phenology in subtropical forests and provide insights into asynchronous changes in vertical microclimatic gradients in Earth system and vegetation models.

Remote SensingVol. 17(6)
Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Nanjing Institute of Environmental Sciences (CN), Lanzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Remote Sensing in Agriculture
3.43
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