Temporal disparity in leaf chlorophyll content and leaf area index across a growing season in a temperate deciduous forest

被引:50
|
作者
Croft, H. [1 ]
Chen, J. M. [1 ]
Zhang, Y. [2 ]
机构
[1] Univ Toronto, Dept Geog, Toronto, ON M5S 3G3, Canada
[2] Delta State Univ, Div Biol & Phys Sci, Cleveland, MS 38733 USA
关键词
Remote sensing; Phenology; GPP; Leaf physiology; Canopy structure; GROSS PRIMARY PRODUCTIVITY; NDVI TIME-SERIES; VEGETATION INDEXES; SPECTRAL REFLECTANCE; REMOTE ESTIMATION; BROADLEAF FOREST; CARBON BALANCE; CANOPY; PHENOLOGY; SATELLITE;
D O I
10.1016/j.jag.2014.06.005
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Spatial and temporal variations in canopy structure and leaf biochemistry have considerable influence on fluxes of CO2, water and energy and nutrient cycling in vegetation. Two vegetation indices (VI), NDVI and Macc01, were used to model the spatio-temporal variability of broadleaf chlorophyll content and leaf area index (LAI) across a growing season. Ground data including LAI, hyperspectral leaf reflectance factors (400-2500 nm) and leaf chlorophyll content were measured across the growing season and satellite-derived canopy reflectance data was acquired for 33 dates at 1200 m spatial resolution. Key phenological information was extracted using the TIMESAT software. Results showed that LAI and chlorophyll start of season (SOS) dates were at day of year (DOY) 130 and 157 respectively, and total season duration varied by 57 days. The spatial variability of chlorophyll and LAI phenology was also analyzed at the landscape scale to investigate phenological patterns over a larger spatial extent. Whilst a degree of spatial variability existed, results showed that chlorophyll SOS lagged approximately 20-35 days behind LAI SOS, and the end of season (EOS) LAI dates were predominantly between 20 and 30 days later than chlorophyll EOS. The large temporal differences between VI-derived chlorophyll content and LAI has important implications for biogeochemical models using NDVI or LAI to represent the fraction of photosynthetically active radiation absorbed by a canopy, in neglecting to account for delays in chlorophyll production and thus photosynthetic capacity. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:312 / 320
页数:9
相关论文
共 50 条
  • [31] Effects of seasonal and interannual variations in leaf photosynthesis and canopy leaf area index on gross primary production of a cool-temperate deciduous broadleaf forest in Takayama, Japan
    Hiroyuki Muraoka
    Nobuko Saigusa
    Kenlo N. Nasahara
    Hibiki Noda
    Jun Yoshino
    Taku M. Saitoh
    Shin Nagai
    Shohei Murayama
    Hiroshi Koizumi
    Journal of Plant Research, 2010, 123 : 563 - 576
  • [32] RETRIEVAL OF LEAF AREA INDEX AND LEAF CHLOROPHYLL CONTENT FROM HYPERSPECTRAL DATA USING DEEP LEARNING NETWORKS
    Hu, B.
    Jung, W. M.
    Liu, J.
    Shang, J.
    XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III, 2022, 43-B3 : 397 - 404
  • [33] An Approach for Joint Estimation of Grassland Leaf Area Index and Leaf Chlorophyll Content from UAV Hyperspectral Data
    Zhu, Xiaohua
    Yang, Qian
    Chen, Xinyu
    Ding, Zixiao
    REMOTE SENSING, 2023, 15 (10)
  • [34] Short-term changes of leaf area index, light transmission, and gap in a temperate mixed deciduous forest ecosystem in Bartin, Turkey
    Bolat, Ilyas
    Kara, Omer
    Ozturk, Melih
    TURKISH JOURNAL OF AGRICULTURE AND FORESTRY, 2016, 40 (04) : 597 - 605
  • [35] A voxel matching method for effective leaf area index estimation in temperate deciduous forests from leaf-on and leaf-off airborne LiDAR data
    Zhu, Xi
    Liu, Jing
    Skidmore, Andrew K.
    Premier, Joe
    Heurich, Marco
    REMOTE SENSING OF ENVIRONMENT, 2020, 240
  • [36] Seasonality of leaf litter and leaf area index data for various tree species in a cool-temperate deciduous broad-leaved forest, Japan, 2005-2014
    Nagai, Shin
    Nasahara, Kenlo Nishida
    Yoshitake, Shinpei
    Saitoh, Taku M.
    ECOLOGICAL RESEARCH, 2017, 32 (03) : 297 - 297
  • [37] Modeling leaf area index from litter collection and tree data in a deciduous broadleaf forest
    Ishihara, Masae Iwamoto
    Hiura, Tsutom
    AGRICULTURAL AND FOREST METEOROLOGY, 2011, 151 (07) : 1016 - 1022
  • [38] Estimation of leaf area index and leaf chlorophyll content in Sporobolus densiflorus using hyperspectral measurements and PROSAIL model simulations
    Piegari, Estefania
    Gossn, Juan, I
    Grings, Francisco
    Barraza Bernadas, Veronica
    Juarez, Angela B.
    Mateos-Naranjo, Enrique
    Gonzalez Trilla, Gabriela
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (04) : 1181 - 1200
  • [39] Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data
    Guo, Xiaowen
    Wang, Rong
    Chen, Jing M.
    Cheng, Zhiqiang
    Zeng, Hongda
    Miao, Guofang
    Huang, Zhiqun
    Guo, Zhenxiong
    Cao, Jianjie
    Niu, Jinhui
    GEO-SPATIAL INFORMATION SCIENCE, 2025, 28 (01) : 22 - 35
  • [40] CHANGES IN LEAF AREA AND SPECIFIC LEAF WEIGHT OF SUGARBEET LEAVES DURING GROWING SEASON
    COLE, DF
    CROP SCIENCE, 1975, 15 (06) : 882 - 883