Effects of bryophyte and lichen cover on permafrost soil temperature at large scale

Porada, Philipp; Ekici, Altug; Beer, Christian

doi:10.5194/tc-10-2291-2016

Cited by 89 publications

(153 citation statements)

References 79 publications

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“…Soil insulation 130 depends on the fractional grid cell coverage of the lichen and bryophyte layer as well as on its hydrological status. Thereby, thermal diffusivity of this layer is computed as a function of water, ice and air content in the lichen and bryophyte layer (Porada et al, 2016a). The simulated relations between thermal properties of the lichen and bryophyte layer and water content agree well with field observations.…”

supporting

confidence: 62%

“…The frost-enhanced JSBACH model has been intensively evaluated elsewhere (Ekici et al, 2014(Ekici et al, , 2015Porada et al, 2016a). The model version used here has also been recently extensively evalu- …”

Section: Mean Annual Ground Temperature Evaluationmentioning

confidence: 99%

“…In addition, the lichen and bryophyte layer is fully integrated into the heat conduction scheme and hence also functions as a soil insulating layer (Porada et al, 2016a). Soil insulation 130 depends on the fractional grid cell coverage of the lichen and bryophyte layer as well as on its hydrological status.…”

mentioning

confidence: 99%

“…The simulated relations between thermal properties of the lichen and bryophyte layer and water content agree well with field observations. Porada et al (2016a) provide a complete description of the dynamic lichen and 135 bryophyte model in JSBACH. The model version used here differs from Porada et al (2016a) only with respect to the parametrisation of the snow layer, which has a slightly longer compression time, and a few bug fixes.…”

mentioning

confidence: 99%

“…Porada et al (2016a) provide a complete description of the dynamic lichen and 135 bryophyte model in JSBACH. The model version used here differs from Porada et al (2016a) only with respect to the parametrisation of the snow layer, which has a slightly longer compression time, and a few bug fixes. This updated version is also used in Chadburn et al (2017), where it shows good agreement with site level soil temperature observations.…”

mentioning

confidence: 99%

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Effects of short-term variability of meteorological variables on soil temperature in permafrost regions

Beer¹,

Porada²,

Ekici³

et al. 2017

Preprint

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Abstract. Effects of the short-term temporal variability of meteorological variables on soil temperature in northern high latitude regions have been investigated. For this, a process-oriented land surface model has been driven using an artificially manipulated climate dataset. Climate variability mainly impacts snow depth, and the thermal diffusivity of lichens and bryophytes. This latter effect is of opposite direction in summer and winter in most regions. These impacts of climate variability 5 on insulating surface layers together substantially alter the heat exchange between atmosphere and soil. As a result, soil temperature is 0.1 to 0.8• C higher when climate variability is reduced. Earth system models project warming of the Arctic region but also increasing variability of meteorological variables and more often extreme meteorological events. Therefore, our results show that projected future increases in permafrost temperature and active-layer thickness in response to climate change 10 will be lower i) when taking into account future changes in short-term variability of meteorological variables, and ii) when representing dynamic snow and lichen and bryophyte functions in land surface models.

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supporting

confidence: 62%

Section: Mean Annual Ground Temperature Evaluationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Effects of short-term variability of meteorological variables on soil temperature in permafrost regions

Beer¹,

Porada²,

Ekici³

et al. 2017

Preprint

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Arduinos in the wild: A novel, low‐cost sensor network for high‐resolution microclimate monitoring in remote ecosystems

Mühlbauer,

Zavattoni,

Virtanen

et al. 2023

Ecol Sol and Evidence

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The importance of microclimate conditions is becoming increasingly recognised in ecological research, especially as they can differ widely from macro‐ and mesoclimate. Effective measurement of microclimate variability in heterogeneous field conditions requires measurements from a large number of sensors, ideally sampling across both small and large scales, which necessitates the development of cost‐effective sensor networks. Here, we develop an environmental microcontroller (EMU) sensor network for measuring soil moisture and temperature with high spatiotemporal coverage. The system can easily be implemented in larger or smaller setups, though our study consisted of 40 plots distributed across 4 sites in northern Lapland. Using 40 EMUs, each equipped with 10 soil temperature and 10 soil moisture sensors, we collected roughly 3.5 million unique soil temperature and moisture records over the course of about 2 months. We then compared these measurements to those from commercial temperature sensors (iButtons) and TDR soil moisture probes. We show that our sensor network is able to successfully characterise microclimate variation at the site, plot and within‐plot scales with high accuracy and good reliability. Moreover, even including development costs, the total price per EMU unit was less than €100, yielding a much cheaper and higher resolution system than is currently available from commercial producers. For both temperature and soil moisture, we found a strong relationship between the sensor network measurement and those obtained from commercial systems. Roughly 10% of the overall spatial variation in temperature and moisture occurred within plots—that is. over the scale of 25–50 cm. Our results show that accurate measurements of microclimate soil temperature and soil moisture can be obtained using low‐cost sensor networks. We also show that microclimate variability at small scales can make up a considerable fraction of total environmental variability. To this end, we discuss some of the difficulties encountered during the development process and suggest possible improvements for further studies. While the sensor network described here can be applied without any modifications for quantifying topsoil conditions, we note that with minor changes to our code and hardware, the system can be customised for other kinds of measurements.

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Moss functional trait ecology: Trends, gaps, and biases in the current literature

Coe,

Carter,

Slate

et al. 2024

American J of Botany

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Functional traits are critical tools in plant ecology for capturing organism–environment interactions based on trade‐offs and making links between organismal and ecosystem processes. While broad frameworks for functional traits have been developed for vascular plants, we lack the same for bryophytes, despite an escalation in the number of studies on bryophyte functional trait in the last 45 years and an increased recognition of the ecological roles bryophytes play across ecosystems. In this review, we compiled data from 282 published articles (10,005 records) that focused on functional traits measured in mosses and sought to examine trends in types of traits measured, capture taxonomic and geographic breadth of trait coverage, reveal biases in coverage in the current literature, and develop a bryophyte‐function index (BFI) to describe the completeness of current trait coverage and identify global gaps to focus research efforts. The most commonly measured response traits (those related to growth/reproduction in individual organisms) and effect traits (those that directly affect community/ecosystem scale processes) fell into the categories of morphology (e.g., leaf area, shoot height) and nutrient storage/cycling, and our BFI revealed that these data were most commonly collected from temperate and boreal regions of Europe, North America, and East Asia. However, fewer than 10% of known moss species have available functional trait information. Our synthesis revealed a need for research on traits related to ontogeny, sex, and intraspecific plasticity and on co‐measurement of traits related to water relations and bryophyte‐mediated soil processes.

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Effects of bryophyte and lichen cover on permafrost soil temperature at large scale

Cited by 89 publications

References 79 publications

Effects of short-term variability of meteorological variables on soil temperature in permafrost regions

Effects of short-term variability of meteorological variables on soil temperature in permafrost regions

Arduinos in the wild: A novel, low‐cost sensor network for high‐resolution microclimate monitoring in remote ecosystems

Moss functional trait ecology: Trends, gaps, and biases in the current literature

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