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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs13214232 https://doaj.org/article/be08761465874d349700559a30a1dfb6 |
id |
ftdoajarticles:oai:doaj.org/article:be08761465874d349700559a30a1dfb6 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1766137927729938432 |