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Scientia Silvae Sinicae ›› 2024, Vol. 60 ›› Issue (8): 67-78.doi: 10.11707/j.1001-7488.LYKX20230408

• Research papers • Previous Articles     Next Articles

Temporal-Spatial Variation and Drivers of Phenology in Pinus massoniana and Pinus elliottii Forests in Hilly Regions with Red Soil

Bingnan Chen1,2,Fengting Yang1,Shengwang Meng1,Xiaoqin Dai1,Liang Kou1,2,Yifan Chen3,Huimin Wang1,2,Xiaoli Fu1,2,*()   

  1. 1. Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences Beijing 100101
    2. College of Resource and Environment, University of Chinese Academy of Sciences Beijing 100049
    3. Institute of Forestry Industry Development and Planning, National Forestry and Grassland Administration Beijing 100013
  • Received:2023-09-04 Online:2024-08-25 Published:2024-09-03
  • Contact: Xiaoli Fu E-mail:fuxl@igsnrr.ac.cn

Abstract:

Objective: The study aims to investigate the temporal-spatial variation and drivers of phenological periods in Pinus massoniana and Pinus elliottii forests, in order to provide a theoretical basis for understanding and predicting the temporal-spatial pattern of forest carbon sink in the red soil hilly region. Method: The temporal and spatial dynamics of the effective leaf area index (LAIe) were extracted from a total of 29 plots (18 for P. massoniana and 11 for P. elliottii), based on digital camera time series data collected between 2017 and 2021. A generalized double logistic model of LAIe was used to determine the phenological periods (start time of growing season, SOS; end of growing season, EOS; length of growing season, LOS). The coefficient of variation was used to characterize the spatiotemporal variation amplitude of phenological periods. Pearson correlation analysis and linear mixed model were employed to investigate the driving effects of climate (aridity index, air temperature, precipitation, saturation vapor pressure deficit, photosynthetically active radiation), soil (soil temperature and humidity, soil thickness, soil gravel content) and biological (stand density, understory vegetation richness) factors on phenological periods. Result: 1) The phenological characteristics of P. massoniana and P. elliottii forests exhibited a unimodal curve, with the former lacking an obvious peak. Compared to P. massoniana forest, the P. elliottii forest had later SOS but higher LAIe with greater amplitude of seasonal variation. 2) The phenological periods of P. massoniana forest exhibited greater variability than those of P. elliottii forest at both temporal and spatial scales. P. massoniana forest had greater spatial variation coefficients of SOS, EOS, and LOS and exhibited greate temporal variation coefficient of SOS than those in P. elliottii forest. 3) On an interannual scale, SOS and EOS in P. massoniana forest showed negative and positive correlations with soil moisture at 0–120 cm depth in early spring and dry season, while EOS in P. elliottii forest was positively correlated with soil moisture at 0–60 cm depth in dry season. 4) The spatial variation of phenological periods in P. massoniana forests was influenced by stand density, species richness in the herbaceous layer, and gravel content within the 0–60 cm soil layer. Conclusion: There are significant differences in the phenological characteristics between P. massoniana and P. elliottii forests in terms of curve peak value, SOS, and LAIe amplitude and value. The phenological period in P. elliottii forests is more stable in temporal and spatial scale. The temporal and spatial variation patterns of phenology in P. massoniana forests within the red soil hilly region are jointly influenced by intraspecific and interspecific competition intensity, as well as soil resource heterogeneity.

Key words: forest phenology, the effective leaf area index, temporal-spatial variation, gravel content, competitive intensity, soil moisture content

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