Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain

[EN]In this study, the ability of satellite soil moisture to track tree growth is analyzed. Despite the reticence of using satellite soil moisture data in forest areas, there is evidence that in some cases, good and reliable results have been obtained. Forests cover very important continental areas...

Descripción completa

Detalles Bibliográficos
Autores: Martínez Fernández, José, Almendra Martín, Laura, de Luis, Martín, González Zamora, Ángel, Herrero Jiménez, Carlos Miguel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/160648
Acceso en línea:http://hdl.handle.net/10366/160648
Access Level:acceso embargado
Palabra clave:Soil moisture
CCI
Tree growth
Aleppo pine
Forest
Temporal pattern
2511 Ciencias del Suelo (Edafología)
id ES_a6fa55ce0ba4657dc6d30b33a07fa24e
oai_identifier_str oai:gredos.usal.es:10366/160648
network_acronym_str ES
network_name_str España
repository_id_str
spelling Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in SpainMartínez Fernández, JoséAlmendra Martín, Laurade Luis, MartínGonzález Zamora, ÁngelHerrero Jiménez, Carlos MiguelSoil moistureCCITree growthAleppo pineForestTemporal pattern2511 Ciencias del Suelo (Edafología)[EN]In this study, the ability of satellite soil moisture to track tree growth is analyzed. Despite the reticence of using satellite soil moisture data in forest areas, there is evidence that in some cases, good and reliable results have been obtained. Forests cover very important continental areas and have great importance in many natural processes related to water resources, biodiversity and climate. For these reasons, it is interesting to investigate the applicability of remote sensing soil moisture products for new applications in these environments. In the present study, the CCI (Climate Change Initiative, Global Monitoring of Essential Climate Variables, European Space Agency) soil moisture (CCISM) database has been correlated with the tree-growth series of 22 samples of Aleppo pine (Pinus halepensis Mill.) in Spain in different locations and environmental conditions. Aleppo pine is the most widespread pine species in the Mediterranean basin, and therefore, it is highly representative of the bioclimatic conditions in these water-limited environments. The series spans from 1978 to 2016, and the daily CCISM has been correlated with the annual tree-growth anomalies. The daily CCISM has been obtained using a moving window scheme with 1-, 7-, 15- and 30-day averages, starting on October 1st of the previous year and finishing on December 31st of the corresponding year. Another soil moisture product (Lisflood model) and precipitation have also been used in a similar approach to strengthen the assessment analysis. The results obtained show a clear temporal pattern of the relationship between satellite soil moisture and Aleppo pine tree growth, and the influence of soil moisture on tree-growth dynamics increases with reduced water availability. The CCISM was able to detect a bimodal pattern of tree growth with a maximum in May and a secondary peak in autumn. This temporal pattern was much clearer than that obtained using the modeled soil moisture and the precipitation. This study proves that satellite soil moisture is sensitive enough to track the phenology of this forest species. The results obtained demonstrate that satellite soil moisture data could be suitable for use in forest environments and for new applications.Spanish Ministry of Science, Innovation and Universities European Regional Development FundElsevierinfo202420242019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/160648reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésESP 2017-89463-C3-3-RCGL 2015-69985Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccessoai:gredos.usal.es:10366/1606482026-06-07T06:28:51Z
dc.title.none.fl_str_mv Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
title Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
spellingShingle Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
Martínez Fernández, José
Soil moisture
CCI
Tree growth
Aleppo pine
Forest
Temporal pattern
2511 Ciencias del Suelo (Edafología)
title_short Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
title_full Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
title_fullStr Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
title_full_unstemmed Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
title_sort Tracking tree growth through satellite soil moisture monitoring: A case study of Pinus halepensis in Spain
dc.creator.none.fl_str_mv Martínez Fernández, José
Almendra Martín, Laura
de Luis, Martín
González Zamora, Ángel
Herrero Jiménez, Carlos Miguel
author Martínez Fernández, José
author_facet Martínez Fernández, José
Almendra Martín, Laura
de Luis, Martín
González Zamora, Ángel
Herrero Jiménez, Carlos Miguel
author_role author
author2 Almendra Martín, Laura
de Luis, Martín
González Zamora, Ángel
Herrero Jiménez, Carlos Miguel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Soil moisture
CCI
Tree growth
Aleppo pine
Forest
Temporal pattern
2511 Ciencias del Suelo (Edafología)
topic Soil moisture
CCI
Tree growth
Aleppo pine
Forest
Temporal pattern
2511 Ciencias del Suelo (Edafología)
description [EN]In this study, the ability of satellite soil moisture to track tree growth is analyzed. Despite the reticence of using satellite soil moisture data in forest areas, there is evidence that in some cases, good and reliable results have been obtained. Forests cover very important continental areas and have great importance in many natural processes related to water resources, biodiversity and climate. For these reasons, it is interesting to investigate the applicability of remote sensing soil moisture products for new applications in these environments. In the present study, the CCI (Climate Change Initiative, Global Monitoring of Essential Climate Variables, European Space Agency) soil moisture (CCISM) database has been correlated with the tree-growth series of 22 samples of Aleppo pine (Pinus halepensis Mill.) in Spain in different locations and environmental conditions. Aleppo pine is the most widespread pine species in the Mediterranean basin, and therefore, it is highly representative of the bioclimatic conditions in these water-limited environments. The series spans from 1978 to 2016, and the daily CCISM has been correlated with the annual tree-growth anomalies. The daily CCISM has been obtained using a moving window scheme with 1-, 7-, 15- and 30-day averages, starting on October 1st of the previous year and finishing on December 31st of the corresponding year. Another soil moisture product (Lisflood model) and precipitation have also been used in a similar approach to strengthen the assessment analysis. The results obtained show a clear temporal pattern of the relationship between satellite soil moisture and Aleppo pine tree growth, and the influence of soil moisture on tree-growth dynamics increases with reduced water availability. The CCISM was able to detect a bimodal pattern of tree growth with a maximum in May and a secondary peak in autumn. This temporal pattern was much clearer than that obtained using the modeled soil moisture and the precipitation. This study proves that satellite soil moisture is sensitive enough to track the phenology of this forest species. The results obtained demonstrate that satellite soil moisture data could be suitable for use in forest environments and for new applications.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024
2024
info
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/160648
url http://hdl.handle.net/10366/160648
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv ESP 2017-89463-C3-3-R
CGL 2015-69985
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv embargoedAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869415740655796224
score 15,811543

Similares en LA Referencia