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Title: Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest

Abstract

Changes in plant phenology affect the carbon flux of terrestrial forest ecosystems due to the link between the growing season length and vegetation productivity. Digital camera imagery, which can be acquired frequently, has been used to monitor seasonal and annual changes in forest canopy phenology and track critical phenological events. However, quantitative assessment of the structural and biochemical controls of the phenological patterns in camera images has rarely been done. In this study, we used an NDVI (Normalized Difference Vegetation Index) camera to monitor daily variations of vegetation reflectance at visible and near-infrared (NIR) bands with high spatial and temporal resolutions, and found that the infrared camera based NDVI (camera-NDVI) agreed well with the leaf expansion process that was measured by independent manual observations at Harvard Forest, Massachusetts, USA. We also measured the seasonality of canopy structural (leaf area index, LAI) and biochemical properties (leaf chlorophyll and nitrogen content). Here we found significant linear relationships between camera-NDVI and leaf chlorophyll concentration, and between camera-NDVI and leaf nitrogen content, though weaker relationships between camera-NDVI and LAI. Therefore, we recommend ground-based camera-NDVI as a powerful tool for long-term, near surface observations to monitor canopy development and to estimate leaf chlorophyll, nitrogen status,more » and LAI.« less

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [3];  [4];  [3]
  1. Nanjing Univ., Jiangsu (China). School of Life Sciences; Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
  2. Brown Univ., Providence, RI (United States). Dept. of Earth, Environmental and Planetary Sciences; Univ. of Virginia, Charlottesville, VA (United States). Dept. of Environmental Sciences
  3. Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
  4. Nanjing Univ., Jiangsu (China). School of Life Sciences
Publication Date:
Research Org.:
Marine Biological Laboratory, Woods Hole, MA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Science Foundation (NSF)
OSTI Identifier:
1368369
Grant/Contract Number:  
SC0006951; DBI-959333; AGS-1005663
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Ecosystem ecology; Forest ecology

Citation Formats

Yang, Hualei, Yang, Xi, Heskel, Mary, Sun, Shucun, and Tang, Jianwu. Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest. United States: N. p., 2017. Web. doi:10.1038/s41598-017-01260-y.
Yang, Hualei, Yang, Xi, Heskel, Mary, Sun, Shucun, & Tang, Jianwu. Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest. United States. doi:10.1038/s41598-017-01260-y.
Yang, Hualei, Yang, Xi, Heskel, Mary, Sun, Shucun, and Tang, Jianwu. Fri . "Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest". United States. doi:10.1038/s41598-017-01260-y. https://www.osti.gov/servlets/purl/1368369.
@article{osti_1368369,
title = {Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest},
author = {Yang, Hualei and Yang, Xi and Heskel, Mary and Sun, Shucun and Tang, Jianwu},
abstractNote = {Changes in plant phenology affect the carbon flux of terrestrial forest ecosystems due to the link between the growing season length and vegetation productivity. Digital camera imagery, which can be acquired frequently, has been used to monitor seasonal and annual changes in forest canopy phenology and track critical phenological events. However, quantitative assessment of the structural and biochemical controls of the phenological patterns in camera images has rarely been done. In this study, we used an NDVI (Normalized Difference Vegetation Index) camera to monitor daily variations of vegetation reflectance at visible and near-infrared (NIR) bands with high spatial and temporal resolutions, and found that the infrared camera based NDVI (camera-NDVI) agreed well with the leaf expansion process that was measured by independent manual observations at Harvard Forest, Massachusetts, USA. We also measured the seasonality of canopy structural (leaf area index, LAI) and biochemical properties (leaf chlorophyll and nitrogen content). Here we found significant linear relationships between camera-NDVI and leaf chlorophyll concentration, and between camera-NDVI and leaf nitrogen content, though weaker relationships between camera-NDVI and LAI. Therefore, we recommend ground-based camera-NDVI as a powerful tool for long-term, near surface observations to monitor canopy development and to estimate leaf chlorophyll, nitrogen status, and LAI.},
doi = {10.1038/s41598-017-01260-y},
journal = {Scientific Reports},
number = 1,
volume = 7,
place = {United States},
year = {2017},
month = {4}
}

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