ForestTemp – Sub‐canopy microclimate temperatures of European forests. (3rd October 2021)
- Record Type:
- Journal Article
- Title:
- ForestTemp – Sub‐canopy microclimate temperatures of European forests. (3rd October 2021)
- Main Title:
- ForestTemp – Sub‐canopy microclimate temperatures of European forests
- Authors:
- Haesen, Stef
Lembrechts, Jonas J.
De Frenne, Pieter
Lenoir, Jonathan
Aalto, Juha
Ashcroft, Michael B.
Kopecký, Martin
Luoto, Miska
Maclean, Ilya
Nijs, Ivan
Niittynen, Pekka
van den Hoogen, Johan
Arriga, Nicola
Brůna, Josef
Buchmann, Nina
Čiliak, Marek
Collalti, Alessio
De Lombaerde, Emiel
Descombes, Patrice
Gharun, Mana
Goded, Ignacio
Govaert, Sanne
Greiser, Caroline
Grelle, Achim
Gruening, Carsten
Hederová, Lucia
Hylander, Kristoffer
Kreyling, Jürgen
Kruijt, Bart
Macek, Martin
Máliš, František
Man, Matěj
Manca, Giovanni
Matula, Radim
Meeussen, Camille
Merinero, Sonia
Minerbi, Stefano
Montagnani, Leonardo
Muffler, Lena
Ogaya, Romà
Penuelas, Josep
Plichta, Roman
Portillo‐Estrada, Miguel
Schmeddes, Jonas
Shekhar, Ankit
Spicher, Fabien
Ujházyová, Mariana
Vangansbeke, Pieter
Weigel, Robert
Wild, Jan
Zellweger, Florian
Van Meerbeek, Koenraad
… (more) - Abstract:
- Abstract: Ecological research heavily relies on coarse‐gridded climate data based on standardized temperature measurements recorded at 2 m height in open landscapes. However, many organisms experience environmental conditions that differ substantially from those captured by these macroclimatic (i.e. free air) temperature grids. In forests, the tree canopy functions as a thermal insulator and buffers sub‐canopy microclimatic conditions, thereby affecting biological and ecological processes. To improve the assessment of climatic conditions and climate‐change‐related impacts on forest‐floor biodiversity and functioning, high‐resolution temperature grids reflecting forest microclimates are thus urgently needed. Combining more than 1200 time series of in situ near‐surface forest temperature with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub‐canopy temperature at 15 cm above the surface and free‐air temperature over the period 2000–2020 at a spatial resolution of 25 m across Europe. This offset was used to evaluate the difference between microclimate and macroclimate across space and seasons and finally enabled us to calculate mean annual and monthly temperatures for European forest understories. We found that sub‐canopy air temperatures differ substantially from free‐air temperatures, being on average 2.1°C (standard deviation ± 1.6°C) lower in summer and 2.0°C higher (±0.7°C) in winter acrossAbstract: Ecological research heavily relies on coarse‐gridded climate data based on standardized temperature measurements recorded at 2 m height in open landscapes. However, many organisms experience environmental conditions that differ substantially from those captured by these macroclimatic (i.e. free air) temperature grids. In forests, the tree canopy functions as a thermal insulator and buffers sub‐canopy microclimatic conditions, thereby affecting biological and ecological processes. To improve the assessment of climatic conditions and climate‐change‐related impacts on forest‐floor biodiversity and functioning, high‐resolution temperature grids reflecting forest microclimates are thus urgently needed. Combining more than 1200 time series of in situ near‐surface forest temperature with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub‐canopy temperature at 15 cm above the surface and free‐air temperature over the period 2000–2020 at a spatial resolution of 25 m across Europe. This offset was used to evaluate the difference between microclimate and macroclimate across space and seasons and finally enabled us to calculate mean annual and monthly temperatures for European forest understories. We found that sub‐canopy air temperatures differ substantially from free‐air temperatures, being on average 2.1°C (standard deviation ± 1.6°C) lower in summer and 2.0°C higher (±0.7°C) in winter across Europe. Additionally, our high‐resolution maps expose considerable microclimatic variation within landscapes, not captured by the gridded macroclimatic products. The provided forest sub‐canopy temperature maps will enable future research to model below‐canopy biological processes and patterns, as well as species distributions more accurately. Abstract : Combining more than 1200 time series of in situ near‐surface forest temperatures with topographical, biological and macroclimatic variables in a machine learning model, we predicted the mean monthly offset between sub‐canopy temperature at 15 cm above the surface and free‐air temperature over the period 2000–2020 at a spatial resolution of 25 m across Europe. This offset was used to evaluate the difference between microclimate and macroclimate across space and seasons and finally enabled us to calculate mean annual and monthly temperatures for European forest understories. … (more)
- Is Part Of:
- Global change biology. Volume 27:Number 23(2021)
- Journal:
- Global change biology
- Issue:
- Volume 27:Number 23(2021)
- Issue Display:
- Volume 27, Issue 23 (2021)
- Year:
- 2021
- Volume:
- 27
- Issue:
- 23
- Issue Sort Value:
- 2021-0027-0023-0000
- Page Start:
- 6307
- Page End:
- 6319
- Publication Date:
- 2021-10-03
- Subjects:
- biodiversity -- boosted regression trees -- climate change -- ecosystem processes -- forest microclimate -- SoilTemp -- species distributions -- thermal buffering
Climatic changes -- Environmental aspects -- Periodicals
Troposphere -- Environmental aspects -- Periodicals
Biodiversity conservation -- Periodicals
Eutrophication -- Periodicals
551.5 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=gcb ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/gcb.15892 ↗
- Languages:
- English
- ISSNs:
- 1354-1013
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4195.358330
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