Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices

The effects and consequences of global warming on the productivity of the Patagonian forest are still unknown. The use of Unmanned Aerial Vehicles (UAV) promotes new knowledge of the most pristine and unknown sub-antarctic forests located in Chilean Patagonia. This work presents an initial approach...

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Published in:Remote Sensing
Main Authors: Richard Taylor-Zavala, Oney Ramírez-Rodríguez, Merly de Armas-Ricard, Harold Sanhueza, Francisca Higueras-Fredes, Cristian Mattar
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
UAV
Q
Online Access:https://doi.org/10.3390/rs13214232
https://doaj.org/article/be08761465874d349700559a30a1dfb6
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spelling ftdoajarticles:oai:doaj.org/article:be08761465874d349700559a30a1dfb6 2023-05-15T13:40:39+02:00 Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices Richard Taylor-Zavala Oney Ramírez-Rodríguez Merly de Armas-Ricard Harold Sanhueza Francisca Higueras-Fredes Cristian Mattar 2021-10-01T00:00:00Z https://doi.org/10.3390/rs13214232 https://doaj.org/article/be08761465874d349700559a30a1dfb6 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/21/4232 https://doaj.org/toc/2072-4292 doi:10.3390/rs13214232 2072-4292 https://doaj.org/article/be08761465874d349700559a30a1dfb6 Remote Sensing, Vol 13, Iss 4232, p 4232 (2021) Chilean Patagonia Nothofagus pumilio forest traits chlorophyll content UAV Aysén Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13214232 2022-12-31T14:37:46Z The effects and consequences of global warming on the productivity of the Patagonian forest are still unknown. The use of Unmanned Aerial Vehicles (UAV) promotes new knowledge of the most pristine and unknown sub-antarctic forests located in Chilean Patagonia. This work presents an initial approach to spatialize biochemicals over the Patagonian forests using ultra-high spatial resolution imagery acquired from UAVs equipped with a multispectral (visible, near-infrared, and thermal) sensor. The images were obtained in multiple flights over the Cerro Castillo National Park (Aysén Region, Chile), and several Vegetation Indices (VIs) were estimated. Leaves of Nothofagus pumilio (Poepp. et Endl.) Krasser ( Nothofagaceae ) individuals were extracted after the flights and were then used to determine the biochemicals traits of chlorophylls (Chl-a and Chl-b) and carotenoids pigments, as well as the total phenolic content (TPC), total flavonoids content (TFC), and the DPPH radical scavenging assay. Their relationships with multiple VIs was analyzed in order to assess the spatiality of the biochemicals traits in the forest during it most productive phenological stage. Results showed high correlations for the biochemical traits pigments (R 2 > 0.75) with the indices DVI, MCARI, and MSAVI1 as the best performing indices, while further spectral availability is needed for significant correlations with biochemicals traits related to the antioxidant capacity. Spatialization of the biochemical traits within UAV imagery was also performed evaluating their representation in the forest. This work allowed us to identify the different spectral behavior of the N. pumilio species, its relation to biochemical traits, and their spatialization, thus presenting the first step to developing a monitoring protocol for the evaluation of the Patagonian forests under the current global warming scenarios in the region. Article in Journal/Newspaper Antarc* Antarctic Directory of Open Access Journals: DOAJ Articles Antarctic Cerro Castillo ENVELOPE(-66.883,-66.883,-67.000,-67.000) Patagonia Remote Sensing 13 21 4232
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Chilean Patagonia
Nothofagus pumilio
forest traits
chlorophyll content
UAV
Aysén
Science
Q
spellingShingle Chilean Patagonia
Nothofagus pumilio
forest traits
chlorophyll content
UAV
Aysén
Science
Q
Richard Taylor-Zavala
Oney Ramírez-Rodríguez
Merly de Armas-Ricard
Harold Sanhueza
Francisca Higueras-Fredes
Cristian Mattar
Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices
topic_facet Chilean Patagonia
Nothofagus pumilio
forest traits
chlorophyll content
UAV
Aysén
Science
Q
description The effects and consequences of global warming on the productivity of the Patagonian forest are still unknown. The use of Unmanned Aerial Vehicles (UAV) promotes new knowledge of the most pristine and unknown sub-antarctic forests located in Chilean Patagonia. This work presents an initial approach to spatialize biochemicals over the Patagonian forests using ultra-high spatial resolution imagery acquired from UAVs equipped with a multispectral (visible, near-infrared, and thermal) sensor. The images were obtained in multiple flights over the Cerro Castillo National Park (Aysén Region, Chile), and several Vegetation Indices (VIs) were estimated. Leaves of Nothofagus pumilio (Poepp. et Endl.) Krasser ( Nothofagaceae ) individuals were extracted after the flights and were then used to determine the biochemicals traits of chlorophylls (Chl-a and Chl-b) and carotenoids pigments, as well as the total phenolic content (TPC), total flavonoids content (TFC), and the DPPH radical scavenging assay. Their relationships with multiple VIs was analyzed in order to assess the spatiality of the biochemicals traits in the forest during it most productive phenological stage. Results showed high correlations for the biochemical traits pigments (R 2 > 0.75) with the indices DVI, MCARI, and MSAVI1 as the best performing indices, while further spectral availability is needed for significant correlations with biochemicals traits related to the antioxidant capacity. Spatialization of the biochemical traits within UAV imagery was also performed evaluating their representation in the forest. This work allowed us to identify the different spectral behavior of the N. pumilio species, its relation to biochemical traits, and their spatialization, thus presenting the first step to developing a monitoring protocol for the evaluation of the Patagonian forests under the current global warming scenarios in the region.
format Article in Journal/Newspaper
author Richard Taylor-Zavala
Oney Ramírez-Rodríguez
Merly de Armas-Ricard
Harold Sanhueza
Francisca Higueras-Fredes
Cristian Mattar
author_facet Richard Taylor-Zavala
Oney Ramírez-Rodríguez
Merly de Armas-Ricard
Harold Sanhueza
Francisca Higueras-Fredes
Cristian Mattar
author_sort Richard Taylor-Zavala
title Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices
title_short Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices
title_full Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices
title_fullStr Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices
title_full_unstemmed Quantifying Biochemical Traits over the Patagonian Sub-Antarctic Forests and Their Relation to Multispectral Vegetation Indices
title_sort quantifying biochemical traits over the patagonian sub-antarctic forests and their relation to multispectral vegetation indices
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13214232
https://doaj.org/article/be08761465874d349700559a30a1dfb6
long_lat ENVELOPE(-66.883,-66.883,-67.000,-67.000)
geographic Antarctic
Cerro Castillo
Patagonia
geographic_facet Antarctic
Cerro Castillo
Patagonia
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source Remote Sensing, Vol 13, Iss 4232, p 4232 (2021)
op_relation https://www.mdpi.com/2072-4292/13/21/4232
https://doaj.org/toc/2072-4292
doi:10.3390/rs13214232
2072-4292
https://doaj.org/article/be08761465874d349700559a30a1dfb6
op_doi https://doi.org/10.3390/rs13214232
container_title Remote Sensing
container_volume 13
container_issue 21
container_start_page 4232
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