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Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430861/ https://www.ncbi.nlm.nih.gov/pubmed/28455492 http://dx.doi.org/10.1038/s41598-017-01260-y |
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author | Yang, Hualei Yang, Xi Heskel, Mary Sun, Shucun Tang, Jianwu |
author_facet | Yang, Hualei Yang, Xi Heskel, Mary Sun, Shucun Tang, Jianwu |
author_sort | Yang, Hualei |
collection | PubMed |
description | 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). 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. |
format | Online Article Text |
id | pubmed-5430861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54308612017-05-16 Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest Yang, Hualei Yang, Xi Heskel, Mary Sun, Shucun Tang, Jianwu Sci Rep Article 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). 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. Nature Publishing Group UK 2017-04-28 /pmc/articles/PMC5430861/ /pubmed/28455492 http://dx.doi.org/10.1038/s41598-017-01260-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 |
title | Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest |
title_full | Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest |
title_fullStr | Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest |
title_full_unstemmed | Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest |
title_short | Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest |
title_sort | seasonal variations of leaf and canopy properties tracked by ground-based ndvi imagery in a temperate forest |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5430861/ https://www.ncbi.nlm.nih.gov/pubmed/28455492 http://dx.doi.org/10.1038/s41598-017-01260-y |
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