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ForestClim—Bioclimatic variables for microclimate temperatures of European forests

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 06 Apr 2023 Spain, Germany, Italy, Italy, Netherlands, Australia, Belgium, Belgium, Switzerland, Spain, Australia Publisher:WileyJournal:Global Change Biology, volume 29, pages 2,886-2,892 (issn: 1354-1013, eissn: 1365-2486,

Authors: Stef Haesen; Jonas J. Lembrechts; Pieter De Frenne; Jonathan Lenoir; Juha Aalto; Michael B. Ashcroft; Martin Kopecký; +45 Authors

doi: 10.1111/gcb.16678

pmid: 37128754

handle: 20.500.14243/459345 , 10067/1980630151162165141 , 1854/LU-01HGDNMPTJE6JBZXB2C11AJP5H

ForestClim—Bioclimatic variables for microclimate temperatures of European forests

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Abstract

AbstractMicroclimate research gained renewed interest over the last decade and its importance for many ecological processes is increasingly being recognized. Consequently, the call for high‐resolution microclimatic temperature grids across broad spatial extents is becoming more pressing to improve ecological models. Here, we provide a new set of open‐access bioclimatic variables for microclimate temperatures of European forests at 25 × 25 m2 resolution.

Countries

Spain, Germany, Italy, Italy, Netherlands, Australia, Belgium, Belgium, Switzerland, Spain, Australia

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Keywords

Diversity, ForestTemp, Forest microclimate, Temperature, boosted regression trees, Ecosystem processes, Microclimate, Forests, Trees, SoilTemp, Species distributions, climate change, species distributions, forest microclimate, biodiversity boosted regression trees, Earth and Environmental Sciences, Climate change, Boosted regression trees, Biodiversity; Boosted regression trees; Climate change; Ecosystem processes; Forest microclimate; SoilTemp; ForestTemp; Species Distributions, Biology, ecosystem processes, Ecosystem, biodiversity

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	22
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%