Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.15892 |
ForestTemp – Sub-canopy microclimate temperatures of European forests | |
Stef Haesen; Jonas J. Lembrechts; Pieter De Frenne; Jonathan Lenoir; Juha Aalto; Michael B. Ashcroft; Martin Kopecký; Miska Luoto; Ilya Maclean; Ivan Nijs; Pekka Niittynen; Johan van den Hoogen; Nicola Arriga; Josef Brů; na; Nina Buchmann; Marek Č; iliak; Alessio Collalti; Emiel De Lombaerde; Patrice Descombes; Mana Gharun; Ignacio Goded; Sanne Govaert; Caroline Greiser; Achim Grelle; Carsten Gruening; Lucia Hederová; Kristoffer Hylander; Jü; rgen Kreyling; Bart Kruijt; Martin Macek; Františ; ek Má; liš; Matě; j Man; Giovanni Manca; Radim Matula; Camille Meeussen; Sonia Merinero; Stefano Minerbi; Leonardo Montagnani; Lena Muffler; Romà; Ogaya; Josep Penuelas; Roman Plichta; Miguel Portillo-Estrada; Jonas Schmeddes; Ankit Shekhar; Fabien Spicher; Mariana Ujhá; zyová; Pieter Vangansbeke; Robert Weigel; Jan Wild; Florian Zellweger; Koenraad Van Meerbeek | |
2021-10-03 | |
发表期刊 | Global Change Biology |
出版年 | 2021 |
英文摘要 | 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. |
领域 | 气候变化 ; 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/338701 |
专题 | 气候变化 资源环境科学 |
推荐引用方式 GB/T 7714 | Stef Haesen,Jonas J. Lembrechts,Pieter De Frenne,等. ForestTemp – Sub-canopy microclimate temperatures of European forests[J]. Global Change Biology,2021. |
APA | Stef Haesen.,Jonas J. Lembrechts.,Pieter De Frenne.,Jonathan Lenoir.,Juha Aalto.,...&Koenraad Van Meerbeek.(2021).ForestTemp – Sub-canopy microclimate temperatures of European forests.Global Change Biology. |
MLA | Stef Haesen,et al."ForestTemp – Sub-canopy microclimate temperatures of European forests".Global Change Biology (2021). |
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