Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series
include red-listed species and have a high cultural importance for the ancestral population and thus require continuous monitoring to support conservation. Monitoring of phenology by satellite observations is a key tool to quantify the impact of climate variability on terrestrial vegetation. Here we aim to provide a first quantification and ecological understanding of the land surface phenology of protected Araucaria-Nothofagus forests in the Conguillío National Park in southern Chile. We exploit time series of enhanced vegetation index from Landsat 8 and Sentinel-2 satellite imagery from 2016 to 2020 to derive start and end-of-season (SOS and EOS) information at 10 × 10 m spatial resolution. Results show that, on average, SOS varies between 11th October and 5th November (quantiles 25% and 75% of all pixels). SOS occurs later at higher elevation, in sparsely vegetated stands, or in stands dominated by Nothofagus antarctica. EOS occurs on average between 24th March and 14th April. EOS shows a high variability between neighboring pixels that cannot be easily associated with forest stands or topography. Comparisons with regional-aggregated temperature and precipitation time series show that SOS is delayed with colder winter and spring temperatures and EOS shows stronger (but contrasting) correlations with summer and fall precipitation. By using a machine learning approach, we find that elevation is the main control on the spatial-temporal variability of SOS and EOS, followed by aspect, slope and total tree cover. These results suggest that meteorological conditions control the inter-annual variability of the phenology of Araucaria- Nothofagus forests but the effect is modified by small-scale topography, climate and stand characteristics.
Main Authors: | , , , , , |
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Format: | Artículo de revista biblioteca |
Language: | English |
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Elsevier
2023-01-23T21:13:08Z
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Subjects: | Araucaria araucana, Land surface phenology, Plant phenology, Topography, Climate, Random Forests, Dense time series, |
Online Access: | https://repositorio.uchile.cl/handle/2250/191723 https://bibliotecadigital.infor.cl/handle/20.500.12220/32608 |
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dig-infor-cl-20.500.12220-326082023-06-20T14:43:30Z Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series Kosczor, E. Forkel, M. Hernández Palma, Héctor Jaime Kinalczyk, D. Pirotti, F. Kutchartt, E. Araucaria araucana Land surface phenology Plant phenology Topography Climate Random Forests Dense time series include red-listed species and have a high cultural importance for the ancestral population and thus require continuous monitoring to support conservation. Monitoring of phenology by satellite observations is a key tool to quantify the impact of climate variability on terrestrial vegetation. Here we aim to provide a first quantification and ecological understanding of the land surface phenology of protected Araucaria-Nothofagus forests in the Conguillío National Park in southern Chile. We exploit time series of enhanced vegetation index from Landsat 8 and Sentinel-2 satellite imagery from 2016 to 2020 to derive start and end-of-season (SOS and EOS) information at 10 × 10 m spatial resolution. Results show that, on average, SOS varies between 11th October and 5th November (quantiles 25% and 75% of all pixels). SOS occurs later at higher elevation, in sparsely vegetated stands, or in stands dominated by Nothofagus antarctica. EOS occurs on average between 24th March and 14th April. EOS shows a high variability between neighboring pixels that cannot be easily associated with forest stands or topography. Comparisons with regional-aggregated temperature and precipitation time series show that SOS is delayed with colder winter and spring temperatures and EOS shows stronger (but contrasting) correlations with summer and fall precipitation. By using a machine learning approach, we find that elevation is the main control on the spatial-temporal variability of SOS and EOS, followed by aspect, slope and total tree cover. These results suggest that meteorological conditions control the inter-annual variability of the phenology of Araucaria- Nothofagus forests but the effect is modified by small-scale topography, climate and stand characteristics. 2023-01-23T21:13:08Z 2023-06-20T14:43:30Z 2023-01-23T21:13:08Z 2023-06-20T14:43:30Z 2023-01-23T21:13:08Z 2022 Artículo de revista International Journal of Applied Earth Observation and Geoinformation 112 (2022) 102862 10.1016/j.jag.2022.102862 https://repositorio.uchile.cl/handle/2250/191723 https://bibliotecadigital.infor.cl/handle/20.500.12220/32608 en http://creativecommons.org/licenses/by-nc-nd/3.0/us/ Attribution-NonCommercial-NoDerivs 3.0 United States Elsevier International Journal of Applied Earth Observation and Geoinformation |
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Araucaria araucana Land surface phenology Plant phenology Topography Climate Random Forests Dense time series Araucaria araucana Land surface phenology Plant phenology Topography Climate Random Forests Dense time series |
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Araucaria araucana Land surface phenology Plant phenology Topography Climate Random Forests Dense time series Araucaria araucana Land surface phenology Plant phenology Topography Climate Random Forests Dense time series Kosczor, E. Forkel, M. Hernández Palma, Héctor Jaime Kinalczyk, D. Pirotti, F. Kutchartt, E. Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series |
description |
include red-listed species and have a high cultural importance for the ancestral population and thus require
continuous monitoring to support conservation. Monitoring of phenology by satellite observations is a key tool to
quantify the impact of climate variability on terrestrial vegetation. Here we aim to provide a first quantification
and ecological understanding of the land surface phenology of protected Araucaria-Nothofagus forests in the
Conguillío National Park in southern Chile. We exploit time series of enhanced vegetation index from Landsat 8
and Sentinel-2 satellite imagery from 2016 to 2020 to derive start and end-of-season (SOS and EOS) information
at 10 × 10 m spatial resolution. Results show that, on average, SOS varies between 11th October and 5th
November (quantiles 25% and 75% of all pixels). SOS occurs later at higher elevation, in sparsely vegetated
stands, or in stands dominated by Nothofagus antarctica. EOS occurs on average between 24th March and 14th
April. EOS shows a high variability between neighboring pixels that cannot be easily associated with forest stands
or topography. Comparisons with regional-aggregated temperature and precipitation time series show that SOS is
delayed with colder winter and spring temperatures and EOS shows stronger (but contrasting) correlations with
summer and fall precipitation. By using a machine learning approach, we find that elevation is the main control
on the spatial-temporal variability of SOS and EOS, followed by aspect, slope and total tree cover. These results
suggest that meteorological conditions control the inter-annual variability of the phenology of Araucaria-
Nothofagus forests but the effect is modified by small-scale topography, climate and stand characteristics. |
format |
Artículo de revista |
topic_facet |
Araucaria araucana Land surface phenology Plant phenology Topography Climate Random Forests Dense time series |
author |
Kosczor, E. Forkel, M. Hernández Palma, Héctor Jaime Kinalczyk, D. Pirotti, F. Kutchartt, E. |
author_facet |
Kosczor, E. Forkel, M. Hernández Palma, Héctor Jaime Kinalczyk, D. Pirotti, F. Kutchartt, E. |
author_sort |
Kosczor, E. |
title |
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series |
title_short |
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series |
title_full |
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series |
title_fullStr |
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series |
title_full_unstemmed |
Assessing land surface phenology in Araucaria-Nothofagus forests in Chile with Landsat 8/Sentinel 2 time series |
title_sort |
assessing land surface phenology in araucaria-nothofagus forests in chile with landsat 8/sentinel 2 time series |
publisher |
Elsevier |
publishDate |
2023-01-23T21:13:08Z |
url |
https://repositorio.uchile.cl/handle/2250/191723 https://bibliotecadigital.infor.cl/handle/20.500.12220/32608 |
work_keys_str_mv |
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