2020
DOI: 10.1111/gcb.15123
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Abstract: Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and i… Show more

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Cited by 125 publications
(115 citation statements)
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“…Data on snowmelt timing, soil temperature, and soil moisture should, therefore, be collected routinely at arthropod monitoring sites and at the localized scale of arthropod sampling and over all seasons (41). New efforts to compile and model such microclimate data will help in our understanding of relevant scales (57,58).…”
Section: Of 8 | Pnasmentioning
confidence: 99%
“…Data on snowmelt timing, soil temperature, and soil moisture should, therefore, be collected routinely at arthropod monitoring sites and at the localized scale of arthropod sampling and over all seasons (41). New efforts to compile and model such microclimate data will help in our understanding of relevant scales (57,58).…”
Section: Of 8 | Pnasmentioning
confidence: 99%
“…The issue of spatial resolution is more problematic than temporal resolution, though a paradigm shift in the ability of the scientific community to address this issue is occurring (Lembrechts & Lenoir, 2019). Global efforts to obtain measurements of high‐resolution soil temperatures are already underway (Lembrechts, et al., 2020) and at its simplest, coarse spatial resolution data can be downscaled using spatial interpolation techniques (e.g. Wahba, 1990) or multivariate regression (e.g.…”
Section: Obtaining High‐resolution Climate Datamentioning
confidence: 99%
“…Lembrechts et al. (2020) are judiciously calling for “time series spanning one month or more, with temperature measurements a maximum of 4 hours apart.” In the context of meta‐analysis, getting series with a temporal resolution of a few hours will certainly complement the temperature data obtained at a finer temporal resolution, thereby enriching the analysis. Nevertheless, soil temperature recorded with a time step of >1 hr may not provide an accurate estimate of maximal temperatures experienced by some soil organisms (Figure 1b: the duration of the temporal series is 4 hr).…”
Section: Figurementioning
confidence: 99%
“…In this context, Lembrechts et al (2020) In addition, soil surface temperature can be quite heterogeneous at the micro-scale over the horizontal layer. The temperature at the leaf litter surface in early spring, as measured with an infrared camera, can be quite variable, with a temperature range of about 16°C across a short distance of less than 1 m (Figure 1b).…”
mentioning
confidence: 99%