Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Modelling in-ground wood decay using time-series retrievals from the 5th European climate reanalysis (ERA5-Land)

Marais, Brendan N. ; Schönauer, Marian ; van Niekerk, Philip Bester ; Niklewski, Jonas LU and Brischke, Christian (2023) In European Journal of Remote Sensing 56(1).
Abstract

This article presents models to predict the time until mechanical failure of in-ground wooden test specimens resulting from fungal decay. Historical records of decay ratings were modelled by remotely sensed data from ERA5-Land. In total, 2,570 test specimens of 16 different wood species were exposed at 21 different test sites, representing three continents and climatic conditions from sub-polar to tropical, spanning a period from 1980 until 2022. To obtain specimen decay ratings over their exposure time, inspections were conducted in mostly annual and sometimes bi-annual intervals. For each specimen’s exposure period, a laboratory developed dose–response model was populated using remotely sensed soil moisture and temperature data... (More)

This article presents models to predict the time until mechanical failure of in-ground wooden test specimens resulting from fungal decay. Historical records of decay ratings were modelled by remotely sensed data from ERA5-Land. In total, 2,570 test specimens of 16 different wood species were exposed at 21 different test sites, representing three continents and climatic conditions from sub-polar to tropical, spanning a period from 1980 until 2022. To obtain specimen decay ratings over their exposure time, inspections were conducted in mostly annual and sometimes bi-annual intervals. For each specimen’s exposure period, a laboratory developed dose–response model was populated using remotely sensed soil moisture and temperature data retrieved from ERA5-Land. Wood specimens were grouped according to natural durability rankings to reduce the variability of in-ground wood decay rate between wood species. Non-linear, sigmoid-shaped models were then constructed to describe wood decay progression as a function of daily accumulated exposure to soil moisture and temperature conditions (dose). Dose, a mechanistic weighting of daily exposure conditions over time, generally performed better than exposure time alone as a predictor of in-ground wood decay progression. The open-access availability of remotely sensed soil-state data in combination with wood specimen data proved promising for in-ground wood decay predictions.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
dose–response model, Fungal wood decay, geospatial modelling, IRG-WP durability database, soil moisture, soil temperature
in
European Journal of Remote Sensing
volume
56
issue
1
article number
2264473
pages
14 pages
publisher
Taylor & Francis
external identifiers
  • scopus:85176016538
ISSN
2279-7254
DOI
10.1080/22797254.2023.2264473
language
English
LU publication?
yes
additional info
Funding Information: The authors acknowledge support by the Open Access Publication Funds of the University of Göttingen, the IRG-WP durability database and all of its contributors, as well as Joshua Rabke and Antonia Möller, for their role in converting wood decay data from the IRG-WP durability database into a common format. Funding Information: B.N.M. received research funding through the research project C(h)emSleeper (873191) supported by the Austrian Research Promotion Agency (FFG). M.S. received funding through the cooperation project “BefahrGut”, funded by the Landesbetrieb Wald und Holz NRW (North Rhine-Westphalia), through the Forstliches Bildungszentrum in Arnsberg, Germany, and by the Eva Mayr-Stihl Stiftung. P.B.vN. and C.B received funding through the research project WoodLCC, supported under the umbrella of ERA-NET, Cofund ForestValue by the Ministry of Education, Science and Sport (MIZS) - Slovenia; The Ministry of the Environment (YM)–Finland; Research Council of Norway (RCN)–Norway; The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS), Swedish Energy Agency (SWEA), Swedish Governmental Agency for Innovation Systems (Vinnova)–Sweden; Estonian Ministry of the Environment; Estonian Research Council; Federal Ministry of Food and Agriculture (BMEL) and Agency for Renewable Resources (FNR)–Germany. ForestValue has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 773324. J.N. received funding from FORMAS (Swedish research council for sustainable development) [Grant No. 2021-02053]. The authors acknowledge support by the Open Access Publication Funds of the University of Göttingen, the IRG-WP durability database and all of its contributors, as well as Joshua Rabke and Antonia Möller, for their role in converting wood decay data from the IRG-WP durability database into a common format. Publisher Copyright: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
id
227fb345-6c7b-4197-84b8-f67e88064037
date added to LUP
2023-11-17 10:27:28
date last changed
2023-11-17 12:38:17
@article{227fb345-6c7b-4197-84b8-f67e88064037,
  abstract     = {{<p>This article presents models to predict the time until mechanical failure of in-ground wooden test specimens resulting from fungal decay. Historical records of decay ratings were modelled by remotely sensed data from ERA5-Land. In total, 2,570 test specimens of 16 different wood species were exposed at 21 different test sites, representing three continents and climatic conditions from sub-polar to tropical, spanning a period from 1980 until 2022. To obtain specimen decay ratings over their exposure time, inspections were conducted in mostly annual and sometimes bi-annual intervals. For each specimen’s exposure period, a laboratory developed dose–response model was populated using remotely sensed soil moisture and temperature data retrieved from ERA5-Land. Wood specimens were grouped according to natural durability rankings to reduce the variability of in-ground wood decay rate between wood species. Non-linear, sigmoid-shaped models were then constructed to describe wood decay progression as a function of daily accumulated exposure to soil moisture and temperature conditions (dose). Dose, a mechanistic weighting of daily exposure conditions over time, generally performed better than exposure time alone as a predictor of in-ground wood decay progression. The open-access availability of remotely sensed soil-state data in combination with wood specimen data proved promising for in-ground wood decay predictions.</p>}},
  author       = {{Marais, Brendan N. and Schönauer, Marian and van Niekerk, Philip Bester and Niklewski, Jonas and Brischke, Christian}},
  issn         = {{2279-7254}},
  keywords     = {{dose–response model; Fungal wood decay; geospatial modelling; IRG-WP durability database; soil moisture; soil temperature}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Taylor & Francis}},
  series       = {{European Journal of Remote Sensing}},
  title        = {{Modelling in-ground wood decay using time-series retrievals from the 5<sup>th</sup> European climate reanalysis (ERA5-Land)}},
  url          = {{http://dx.doi.org/10.1080/22797254.2023.2264473}},
  doi          = {{10.1080/22797254.2023.2264473}},
  volume       = {{56}},
  year         = {{2023}},
}