Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest

Oni, S. K.; Mieres, F.; Futter, Martyn N.; Laudon, Hjalmar

doi:10.1007/s10584-017-1977-1

Cited by 18 publications

(19 citation statements)

References 66 publications

(78 reference statements)

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“…However, we do not currently understand how climate change and other environmental stressors may affect this pool in the future. For example, while we know that soil temperature in the riparian zone is more sensitive to variation in air temperature than uphill locations, we know little about how riparian hydrology and biogeochemistry will be affected by changes in precipitation and/or temperature. Similarly, there is much to learn about the effects of altered forest productivity, which may feed the dominant source layer with recently fixed carbon and potentially fuel important biogeochemical processes at the land–water interface …”

Section: From Control Points To Landscape Organizationmentioning

confidence: 99%

How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long‐term catchment study

Laudon

Sponseller

2017

WIREs Water

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Catchment science plays a critical role in the protection of water resources in the face of ongoing changes in climate, long‐range transport of air pollutants, and land use. Addressing these challenges, however, requires improved understanding of how, when, and where changes in water quantity and quality occur within river networks. To reach these goals, we must recognize how different catchment features are organized to regulate surface chemistry at multiple scales, from processes controlling headwaters, to the downstream mixing of water from multiple landscape sources and deep aquifers. Here we synthesize 30‐years of hydrological and biogeochemical research from the Krycklan catchment study (KCS) in northern Sweden to demonstrate the benefits of coupling long‐term monitoring with multi‐scale research to advance our understanding of catchment functioning across space and time. We show that the regulation of hydrological and biogeochemical patterns in the KCS can be decomposed into four, hierarchically structured landscape features that include: (1) transmissivity and reactivity of dominant source layers within riparian soils, (2) spatial arrangement of groundwater input zones that govern water and solute fluxes at reach‐ to segment‐scales, (3) landscape scale heterogeneity (forests, mires, and lakes) that generates unique biogeochemical signals downstream, and (4) broad‐scale mixing of surface streams with deep groundwater contributions. While this set of features are perhaps specific to the study region, analogous hierarchical controls are likely to be widespread. Resolving these scale dependent processes is important for predicting how, when, and where different environmental changes may influence patterns of surface water chemistry within river networks. WIREs Water 2018, 5:e1265. doi: 10.1002/wat2.1265 This article is categorized under: Science of Water > Hydrological Processes Science of Water > Water and Environmental Change Science of Water > Methods

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Section: From Control Points To Landscape Organizationmentioning

confidence: 99%

How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long‐term catchment study

Laudon

Sponseller

2017

WIREs Water

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“…In Figures 11 and 12, P1 and P3 exhibited smaller ranges of variation in their maximum temperatures and soil temperatures than P2, as the soil temperatures were less affected by the dynamic changes in the air temperature. This is because the soil temperatures of P1 and P3 were dominantly affected by the soil water content and properties (i.e., thermal conductivity or diffusivity), and thus the uncertainty of soil temperatures [19] was slightly reduced. Meanwhile, predictions of the soil temperatures at site P2 at a depth of 15 cm exhibited the highest uncertainty, In Figures 11 and 12, P1 and P3 exhibited smaller ranges of variation in their maximum temperatures and soil temperatures than P2, as the soil temperatures were less affected by the dynamic changes in the air temperature.…”

Section: Validation and Discussionmentioning

confidence: 99%

“…Soil temperature plays an important role in the physical, chemical, and biological processes of terrestrial ecosystems [9][10][11][12][13][14] and serves as an important indicator of climatic change, as well as an important parameter for numerical weather and climate predictions [15][16][17]. Therefore, it is necessary to accurately measure soil temperatures and to develop effective simulation models [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, a more practical and efficient model for estimating soil temperature is needed to rapidly capture the spatial changes in soil temperatures across efficient model for estimating soil temperature is needed to rapidly capture the spatial changes in soil temperatures across large geographic areas [25]. Efforts to predict soil temperatures and to develop theoretical estimates using previously measured data, such as air temperature, are also needed [13,19]. Assessment of the effects of wind, solar operation, air humidity and others on soil temperature may be also important.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area

et al. 2020

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A model for predicting shallow depth soil temperatures is important and effective to assess the changes in soil conditions related to global climate change and local disturbances. Shallow-depth soil temperature estimation model in cold region in Alaska is developed based on thermal response using air temperature and shallow-depth soil water content during active layer development period of 160 days from May to October. Among the seven soil temperature measurement sites, data from four sites were used for model development, and the remaining three sites were used for model validation. Near the middle of the seven measurement sites, air temperature is monitored at one location. The proposed model implemented concepts of thermal response and cumulative temperature. Temperatures and soil water contents were measured using automated remote sensing technology. Consequently, it was confirmed that the developed model enables fast and accurate assessment of shallow-depth soil temperature during active soil layer development period.

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“…In principle, the models approximate the solutions of differential equations describing water 15 and heat flow. In conjunction with climate model data, these models can be utilized in evaluating the climate change impacts on soil temperature and frost conditions (e.g., Sinha and Cherkauer, 2010;Houle et al, 2012;Jungqvist et al, 2014;Oni et al, 2017). In this study, we used a relatively simple soil temperature model developed originally by Rankinen et al (2004).…”

mentioning

confidence: 99%

Projected decrease in wintertime bearing capacity on different forest and soil types in Finland under a warming climate

Lehtonen¹,

Venäläinen²,

Kämäräinen³

et al. 2018

Preprint

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Abstract. Trafficability in forest terrain is largely determined by ground-bearing capacity and it is thus one of the most important issues in timber harvesting. In winter, the bearing capacity is mainly determined by soil frost. Particularly on peatland 10 forests bearing capacity is poor under unfrozen conditions. The bearing capacity of forest truck roads is similarly affected by ground frost. Already 20 cm thick layer of frozen soil or 40 cm layer of snow on the ground can carry in Finnish forest conditions heavy machines in forest harvesting. In this work, we studied the impacts of climate change on soil frost conditions, and consequently on ground-bearing capacity of soils from the timber harvesting point of view. The number of days with good wintertime bearing capacity was modelled by using a soil temperature model and wide set of downscaled climate model data 15 until the end of the 21st century. The model was optimized for different forest and soil types. The results show that by the mid21st century, the wintertime bearing season length decreases in Finland most likely by about one month. The decrease in soil frost and wintertime bearing capacity will be more pronounced during the latter half of the century when drained peatlands may virtually lack soil frost in most of winters in southern and western Finland. The projected decrease in the bearing capacity, accompanied with increasing demand for wood harvesting from drained peatlands, induces a clear need for the development 20 of new sustainable and efficient logging practices for drained peatlands.

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Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest

Cited by 18 publications

References 66 publications

How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long‐term catchment study

How landscape organization and scale shape catchment hydrology and biogeochemistry: insights from a long‐term catchment study

Development of a Shallow-Depth Soil Temperature Estimation Model Based on Air Temperatures and Soil Water Contents in a Permafrost Area

Projected decrease in wintertime bearing capacity on different forest and soil types in Finland under a warming climate

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