Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure

The spatial forest structure that drives the functioning of these ecosystems and their response to global change is closely linked to edaphic conditions. However, the latter properties are particularly difficult to characterize in forest areas developed on karst, where soil is highly rocky and heter...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Simon Damien Carrière, Nicolas K. Martin-StPaul, Claude Doussan, François Courbet, Hendrik Davi, Guillaume Simioni
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/b8aa5824fb2845ec90655832e276e33e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:b8aa5824fb2845ec90655832e276e33e
record_format dspace
spelling oai:doaj.org-article:b8aa5824fb2845ec90655832e276e33e2021-11-25T19:15:39ZElectromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure10.3390/w132232182073-4441https://doaj.org/article/b8aa5824fb2845ec90655832e276e33e2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3218https://doaj.org/toc/2073-4441The spatial forest structure that drives the functioning of these ecosystems and their response to global change is closely linked to edaphic conditions. However, the latter properties are particularly difficult to characterize in forest areas developed on karst, where soil is highly rocky and heterogeneous. In this work, we investigated whether geophysics, and more specifically electromagnetic induction (EMI), can provide a better understanding of forest structure. We use EMI (EM31, Geonics Limited, Ontario, Canada) to study the spatial variability of ground properties in two different Mediterranean forests. A naturally post-fire regenerated forest composed of Aleppo pines and Holm oaks and a monospecific plantation of Altlas cedar. To better interpret EMI results, we used electrical resistivity tomography (ERT), soil depth surveys, and field observations. Vegetation was also characterized using hemispherical photographs that allowed to calculate plant area index (PAI). Our results show that the variability of ground properties contribute to explaining the variability in the vegetation cover development (plant area index). Vegetation density is higher in areas where the soil is deeper. We showed a significant correlation between edaphic conditions and tree development in the naturally regenerated forest, but this relationship is clearly weaker in the cedar plantation. We hypothesized that regular planting after subsoiling, as well as sylvicultural practices (thinning and pruning) influenced the expected relationship between vegetation structure and soil conditions measured by EMI. This work opens up new research avenues to better understand the interplay between soil and subsoil variability and forest response to climate change.Simon Damien CarrièreNicolas K. Martin-StPaulClaude DoussanFrançois CourbetHendrik DaviGuillaume SimioniMDPI AGarticlehydrogeophysicselectromagnetic inductionelectrical resistivity tomographyecohydrologyMediterranean forestcritical zoneHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3218, p 3218 (2021)
institution DOAJ
collection DOAJ
language EN
topic hydrogeophysics
electromagnetic induction
electrical resistivity tomography
ecohydrology
Mediterranean forest
critical zone
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle hydrogeophysics
electromagnetic induction
electrical resistivity tomography
ecohydrology
Mediterranean forest
critical zone
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Simon Damien Carrière
Nicolas K. Martin-StPaul
Claude Doussan
François Courbet
Hendrik Davi
Guillaume Simioni
Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure
description The spatial forest structure that drives the functioning of these ecosystems and their response to global change is closely linked to edaphic conditions. However, the latter properties are particularly difficult to characterize in forest areas developed on karst, where soil is highly rocky and heterogeneous. In this work, we investigated whether geophysics, and more specifically electromagnetic induction (EMI), can provide a better understanding of forest structure. We use EMI (EM31, Geonics Limited, Ontario, Canada) to study the spatial variability of ground properties in two different Mediterranean forests. A naturally post-fire regenerated forest composed of Aleppo pines and Holm oaks and a monospecific plantation of Altlas cedar. To better interpret EMI results, we used electrical resistivity tomography (ERT), soil depth surveys, and field observations. Vegetation was also characterized using hemispherical photographs that allowed to calculate plant area index (PAI). Our results show that the variability of ground properties contribute to explaining the variability in the vegetation cover development (plant area index). Vegetation density is higher in areas where the soil is deeper. We showed a significant correlation between edaphic conditions and tree development in the naturally regenerated forest, but this relationship is clearly weaker in the cedar plantation. We hypothesized that regular planting after subsoiling, as well as sylvicultural practices (thinning and pruning) influenced the expected relationship between vegetation structure and soil conditions measured by EMI. This work opens up new research avenues to better understand the interplay between soil and subsoil variability and forest response to climate change.
format article
author Simon Damien Carrière
Nicolas K. Martin-StPaul
Claude Doussan
François Courbet
Hendrik Davi
Guillaume Simioni
author_facet Simon Damien Carrière
Nicolas K. Martin-StPaul
Claude Doussan
François Courbet
Hendrik Davi
Guillaume Simioni
author_sort Simon Damien Carrière
title Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure
title_short Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure
title_full Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure
title_fullStr Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure
title_full_unstemmed Electromagnetic Induction Is a Fast and Non-Destructive Approach to Estimate the Influence of Subsurface Heterogeneity on Forest Canopy Structure
title_sort electromagnetic induction is a fast and non-destructive approach to estimate the influence of subsurface heterogeneity on forest canopy structure
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/b8aa5824fb2845ec90655832e276e33e
work_keys_str_mv AT simondamiencarriere electromagneticinductionisafastandnondestructiveapproachtoestimatetheinfluenceofsubsurfaceheterogeneityonforestcanopystructure
AT nicolaskmartinstpaul electromagneticinductionisafastandnondestructiveapproachtoestimatetheinfluenceofsubsurfaceheterogeneityonforestcanopystructure
AT claudedoussan electromagneticinductionisafastandnondestructiveapproachtoestimatetheinfluenceofsubsurfaceheterogeneityonforestcanopystructure
AT francoiscourbet electromagneticinductionisafastandnondestructiveapproachtoestimatetheinfluenceofsubsurfaceheterogeneityonforestcanopystructure
AT hendrikdavi electromagneticinductionisafastandnondestructiveapproachtoestimatetheinfluenceofsubsurfaceheterogeneityonforestcanopystructure
AT guillaumesimioni electromagneticinductionisafastandnondestructiveapproachtoestimatetheinfluenceofsubsurfaceheterogeneityonforestcanopystructure
_version_ 1718410118210519040