基于日光诱导叶绿素荧光的北半球森林物候研究

doi:10.17521/cjpe.2020.0376

植物生态学报 ›› 2021, Vol. 45 ›› Issue (4): 345-354.DOI: 10.17521/cjpe.2020.0376

所属专题：遥感生态学

基于日光诱导叶绿素荧光的北半球森林物候研究

周稳¹, 迟永刚¹, 周蕾¹^,²^,^*()

¹浙江师范大学地理与环境科学学院, 浙江金华 321004
²中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101

收稿日期:2020-11-18 接受日期:2021-01-11 出版日期:2021-04-20 发布日期:2021-04-01
通讯作者: 周蕾
作者简介:* zhoulei@zjnu.cn
基金资助:
国家重点研发计划(2017YFB0504000);国家自然科学基金(41871084);国家自然科学基金(31400393)

Vegetation phenology in the Northern Hemisphere based on the solar-induced chlorophyll fluorescence

ZHOU Wen¹, CHI Yong-Gang¹, ZHOU Lei¹^,²^,^*()

¹College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, Zhejiang 321004, China
²Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received:2020-11-18 Accepted:2021-01-11 Online:2021-04-20 Published:2021-04-01
Contact: ZHOU Lei
Supported by:
National Key R&D Program of China(2017YFB0504000);National Natural Science Foundation of China(41871084);National Natural Science Foundation of China(31400393)

摘要/Abstract

摘要：

植被物候是反映植被生长规律的重要指标, 对气候的反馈具有重要意义。日光诱导叶绿素荧光(SIF)通过复杂的能量耗散机制与光合作用相关联, 提供了从空间直接探测大范围植被物候的可能性。为了探究气候变化背景下SIF反演不同森林类型物候的适用性, 该文以北半球35个全球通量网(FLUXNET)森林站点为研究对象, 利用2007-2014年SIF值和总初级生产力(GPP)通过双逻辑生长模型和动态阈值法来估算3种典型森林类型的物候, 并采用相关性分析等方法评价SIF在估算不同森林类型物候时的差异性。主要结果为: 1) SIF对生长季开始时间(SOS)的估算精度高于生长季结束时间(EOS); 2) SIF能够更准确地估算混交林(MF)的SOS, 但是不能精确追踪落叶阔叶林(DBF)和常绿针叶林(ENF)的SOS; 3)春季季前短波辐射是驱动SOS的主要气候因素。综上, 建议在将来的研究中将SIF数据与其他遥感指数整合, 应用于不同植物类型的物候监测。

关键词: 植被物候, 北方森林, 日光诱导叶绿素荧光, 气候变化, 短波辐射

Abstract:

Aims Vegetation phenology is an important indicator to reflect the stages of vegetation growth, which is of great significance to the feedback to climate. Solar-induced chlorophyll fluorescence (SIF) is a by-product of photosynthesis, which provides the possibility to directly detect vegetation phenology at the global scale. In order to reveal the accuracy of phenology estimated by SIF of different forest types, we estimated phenology of three forest types in the Northern Hemisphere.

Methods Based on 35 eddy flux tower sites in the Northern Hemisphere during the period of 2007-2014, we estimated phenology of three typical forest types using SIF value and gross primary production (GPP) by double logistic growth model and dynamic threshold. Correlation analysis was used to evaluate the different potential of SIF in estimating phenology of different forest types.

Important findings Results showed that: 1) SIF was more suitable to estimate the timing of the start of growing season (SOS) than the timing of the end of growing season (EOS). 2) SOS based on SIF had the highest correlation with SOS based on GPP in mixed forests (MF). However, the SOS of deciduous broadleaf forest (DBF) and evergreen needleleaf forest (ENF) could not be accurately tracked by SIF value. 3) The preseason shortwave radiation (SR) was the primarily environmental factor of SOS.

Key words: vegetation phenology, northern forest, solar-induced chlorophyll fluorescence, climate change, shortwave radiation

周稳, 迟永刚, 周蕾. 基于日光诱导叶绿素荧光的北半球森林物候研究. 植物生态学报, 2021, 45(4): 345-354. DOI: 10.17521/cjpe.2020.0376

ZHOU Wen, CHI Yong-Gang, ZHOU Lei. Vegetation phenology in the Northern Hemisphere based on the solar-induced chlorophyll fluorescence. Chinese Journal of Plant Ecology, 2021, 45(4): 345-354. DOI: 10.17521/cjpe.2020.0376

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2020.0376

https://www.plant-ecology.com/CN/Y2021/V45/I4/345

图/表 7

图1 原始日光诱导叶绿素荧光(SIF)曲线与经过质量控制后的SIF曲线对比图。

Fig. 1 Comparison between time series curves of solar-induced chlorophyll fluorescence (SIF) before and after the quality control.

图2 日光诱导叶绿素荧光(SIF)通过双逻辑生长模型拟合物候曲线示意图。生长季开始时间(SOS)即绿色圆圈对应日期, 生长季结束时间(EOS)即橙色圆圈对应日期。

Fig. 2 An example for determining the phenology based on daily solar-induced chlorophyll fluorescence (SIF) time series using double logistic growth model. Timing of the start of the growing season (SOS) and the end of the growing season (EOS) were plotted by green circle and orange circle. DOY, day of year.

图3 标准化日光诱导叶绿素荧光(SIF)值和总初级生产力(GPP)的季节动态。

Fig. 3 Seasonal trajectories of normalized solar-induced chlorophyll fluorescence (SIF) value and gross primary production (GPP). DBF, deciduous broadleaf forest; ENF, evergreen needleleaf forest; MF, mixed forests. DOY, day of year.

图4 日光诱导叶绿素荧光(SIF)值和总初级生产力(GPP)的相关性。

Fig. 4 Correlations between solar-induced chlorophyll fluorescence (SIF) value and gross primary production (GPP). DBF, deciduous broadleaf forest; ENF, evergreen needleleaf forest; MF, mixed forests.

图5 基于日光诱导叶绿素荧光(SIF)值和总初级生产力(GPP)估算的生长季开始时间(SOS)和生长季结束时间(EOS)的关系。DOY, 日序; N,所有站点的总年份。

Fig. 5 Scatterplots describing the relationship between timing of the start of growing season (SOS) and timing of the end of growing season (EOS) derived from solar-induced chlorophyll fluorescence (SIF) value and gross primary production (GPP). DOY, day of year; N, the years of all sites. DBF, deciduous broadleaf forest; ENF, evergreen needleleaf forest; MF, mixed forests.

图6 基于日光诱导叶绿素荧光(SIF)值和总初级生产力(GPP)估算的生长季开始时间(SOS)和生长季结束时间(EOS)的分布图。DOY, 日序。

Fig. 6 Distributions of timing of the start of the growing season (SOS) and timing of the end of the growing season (EOS) derived from solar-induced chlorophyll fluorescence (SIF) value and gross primary production (GPP). DBF, deciduous broadleaf forest; ENF, evergreen needleleaf forest; MF, mixed forests. DOY, day of year.

图7 春季季前环境因子(短波辐射、气温、降水)与生长季开始时间(SOS)的相关系数(r)。**,p < 0.05。纵坐标为FLUXNET中的森林站点名称。

Fig. 7 Correlation coefficient (r) of environmental factors (shortwave radiation, air temperature, precipitation) in preseason and timing of the start of the growing season (SOS). **, p< 0.05. DBF, deciduous broadleaf forest; ENF, evergreen needleleaf forest; MF, mixed forests. The Y-axis represents the forest site name in FLUXNET.

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基于日光诱导叶绿素荧光的北半球森林物候研究

Vegetation phenology in the Northern Hemisphere based on the solar-induced chlorophyll fluorescence

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