Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water

Forest disturbances influence water quantities and qualities in catchments, but these disturbances cannot be easily measured and quantified directly. The two main options are direct tree counting and the use of satellite images, from which forest disturbance indices are calculated. The problem with...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Susanne I. Schmidt, Josef Hejzlar, Jiří Kopáček, Ma. Cristina Paule-Mercado, Petr Porcal, Yuliya Vystavna
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Forest disturbance Water chemical properties Tree counts Infrared remote sensing analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/e601e10b817e4bfea9219416a8ef9fa9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e601e10b817e4bfea9219416a8ef9fa9
record_format	dspace
spelling	oai:doaj.org-article:e601e10b817e4bfea9219416a8ef9fa92021-12-01T04:48:07ZRelationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water1470-160X10.1016/j.ecolind.2021.107558https://doaj.org/article/e601e10b817e4bfea9219416a8ef9fa92021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002235https://doaj.org/toc/1470-160XForest disturbances influence water quantities and qualities in catchments, but these disturbances cannot be easily measured and quantified directly. The two main options are direct tree counting and the use of satellite images, from which forest disturbance indices are calculated. The problem with the first option is that it is time consuming. To overcome this problem, we used a catchment-scale infrared (IR) index for a Picea abies mountain forest catchment, validated by tree counting, as a predictor in regression modeling to assess the water chemical property response to disturbances. This enabled us to quantify the time delay with which chemical compounds in surface waters reacted to disturbances. The results showed that there was an insignificant correlation between dissolved organic carbon (DOC) concentration and the disturbance index from the same year that the disturbance occurred (R2 = 0.02; p = 0.27), but correlations gradually improved and became more significant, with correlations after a 6-year delay being strongest (R2 = 0.69; p ≤ 0.001). The significant time delays with which other compounds responded to the disturbance ranged from 0 years (NO3-N, total nitrogen, Ca2+, Mg2+, labile aluminium) to 5 years (total organic nitrogen). Our results suggest the potential use of such an index for predicting water quality changes in disturbed areas of Picea abies mountain forests.Susanne I. SchmidtJosef HejzlarJiří KopáčekMa. Cristina Paule-MercadoPetr PorcalYuliya VystavnaElsevierarticleForest disturbanceWater chemical propertiesTree countsInfrared remote sensing analysisEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107558- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Forest disturbance Water chemical properties Tree counts Infrared remote sensing analysis Ecology QH540-549.5
spellingShingle	Forest disturbance Water chemical properties Tree counts Infrared remote sensing analysis Ecology QH540-549.5 Susanne I. Schmidt Josef Hejzlar Jiří Kopáček Ma. Cristina Paule-Mercado Petr Porcal Yuliya Vystavna Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
description	Forest disturbances influence water quantities and qualities in catchments, but these disturbances cannot be easily measured and quantified directly. The two main options are direct tree counting and the use of satellite images, from which forest disturbance indices are calculated. The problem with the first option is that it is time consuming. To overcome this problem, we used a catchment-scale infrared (IR) index for a Picea abies mountain forest catchment, validated by tree counting, as a predictor in regression modeling to assess the water chemical property response to disturbances. This enabled us to quantify the time delay with which chemical compounds in surface waters reacted to disturbances. The results showed that there was an insignificant correlation between dissolved organic carbon (DOC) concentration and the disturbance index from the same year that the disturbance occurred (R2 = 0.02; p = 0.27), but correlations gradually improved and became more significant, with correlations after a 6-year delay being strongest (R2 = 0.69; p ≤ 0.001). The significant time delays with which other compounds responded to the disturbance ranged from 0 years (NO3-N, total nitrogen, Ca2+, Mg2+, labile aluminium) to 5 years (total organic nitrogen). Our results suggest the potential use of such an index for predicting water quality changes in disturbed areas of Picea abies mountain forests.
format	article
author	Susanne I. Schmidt Josef Hejzlar Jiří Kopáček Ma. Cristina Paule-Mercado Petr Porcal Yuliya Vystavna
author_facet	Susanne I. Schmidt Josef Hejzlar Jiří Kopáček Ma. Cristina Paule-Mercado Petr Porcal Yuliya Vystavna
author_sort	Susanne I. Schmidt
title	Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
title_short	Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
title_full	Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
title_fullStr	Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
title_full_unstemmed	Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
title_sort	relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e601e10b817e4bfea9219416a8ef9fa9
work_keys_str_mv	AT susanneischmidt relationshipsbetweenacatchmentscaleforestdisturbanceindextimedelaysandchemicalpropertiesofsurfacewater AT josefhejzlar relationshipsbetweenacatchmentscaleforestdisturbanceindextimedelaysandchemicalpropertiesofsurfacewater AT jirikopacek relationshipsbetweenacatchmentscaleforestdisturbanceindextimedelaysandchemicalpropertiesofsurfacewater AT macristinapaulemercado relationshipsbetweenacatchmentscaleforestdisturbanceindextimedelaysandchemicalpropertiesofsurfacewater AT petrporcal relationshipsbetweenacatchmentscaleforestdisturbanceindextimedelaysandchemicalpropertiesofsurfacewater AT yuliyavystavna relationshipsbetweenacatchmentscaleforestdisturbanceindextimedelaysandchemicalpropertiesofsurfacewater
_version_	1718405756667035648

Relationships between a catchment-scale forest disturbance index, time delays, and chemical properties of surface water

Ejemplares similares