Soil moisture variations from boreal forests to tundra Article Swipe
Julia Kemppinen
,
Pekka Niittynen
,
Tuuli Rissanen
,
Vilna Tyystjärvi
,
Juha Aalto
,
Miska Luoto
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7802037
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7802037
<p>Soil moisture has a profound influence on life on Earth, and this vital water resource varies across space and time. Here, we explored soil moisture variations in boreal forest and tundra environments, where comprehensive soil moisture datasets are scarce. We installed soil moisture sensors up to 14 cm depth at 503 measurement sites within seven study areas across northern Europe. We recorded 6 138 528 measurements to capture soil moisture variations of the snowless season from April to September 2020. We described the spatio-temporal patterns of soil moisture, and test how these patterns are linked to topography and how these links vary in space and time. We found large spatial variation and often less pronounced temporal variation in soil moisture across the measurement sites within all study areas. We found that throughout the measurement periods both univariate and multivariate models with topographic predictors showed great temporal variation in their performance and in the relative influence of the predictors within and across the areas. We found that the soil moisture-topography relationships are site-specific, as the topography-based models often performed poorly when transferred from one area to another. There was no general solution that would work well in all the study areas when modelling soil moisture variation with topography. This should be carefully considered before applying topographic proxies for soil moisture. Overall, these data and results highlight the strong spatio-temporal heterogeneity of soil moisture conditions in boreal forest and tundra environments.</p>
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- article
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- en
- Landing Page
- https://doi.org/10.5281/zenodo.7802037
- OA Status
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Soil moisture variations from boreal forests to tundraWork title
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articleOpenAlex work type
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2023Year of publication
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2023-04-05Full publication date if available
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Julia Kemppinen, Pekka Niittynen, Tuuli Rissanen, Vilna Tyystjärvi, Juha Aalto, Miska LuotoList of authors in order
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https://doi.org/10.5281/zenodo.7802037Publisher landing page
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greenOpen access status per OpenAlex
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https://doi.org/10.5281/zenodo.7802037Direct OA link when available
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Tundra, Taiga, Boreal, Environmental science, Geography, Forestry, Moisture, Physical geography, Soil science, Ecology, Ecosystem, Meteorology, Biology, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.the | 72, 82, 121, 132, 152, 156, 161, 166, 173, 197, 225 |
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| abstract_inverted_index.data | 221 |
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| abstract_inverted_index.life | 7 |
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| abstract_inverted_index.that | 130, 165, 191 |
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| abstract_inverted_index.vary | 101 |
| abstract_inverted_index.well | 194 |
| abstract_inverted_index.when | 179, 200 |
| abstract_inverted_index.with | 140, 205 |
| abstract_inverted_index.work | 193 |
| abstract_inverted_index.2020. | 79 |
| abstract_inverted_index.April | 76 |
| abstract_inverted_index.Here, | 20 |
| abstract_inverted_index.There | 186 |
| abstract_inverted_index.areas | 56, 199 |
| abstract_inverted_index.depth | 48 |
| abstract_inverted_index.found | 107, 129, 164 |
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| abstract_inverted_index.large | 108 |
| abstract_inverted_index.links | 100 |
| abstract_inverted_index.often | 112, 176 |
| abstract_inverted_index.seven | 54 |
| abstract_inverted_index.sites | 52, 123 |
| abstract_inverted_index.space | 17, 103 |
| abstract_inverted_index.study | 55, 126, 198 |
| abstract_inverted_index.their | 148 |
| abstract_inverted_index.these | 91, 99, 220 |
| abstract_inverted_index.time. | 19, 105 |
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| abstract_inverted_index.where | 32 |
| abstract_inverted_index.would | 192 |
| abstract_inverted_index.Earth, | 9 |
| abstract_inverted_index.across | 16, 57, 120, 160 |
| abstract_inverted_index.areas. | 127, 162 |
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| abstract_inverted_index.boreal | 27, 234 |
| abstract_inverted_index.forest | 28, 235 |
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| abstract_inverted_index.models | 139, 175 |
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| abstract_inverted_index.season | 74 |
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| abstract_inverted_index.spatial | 109 |
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| abstract_inverted_index.another. | 185 |
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| abstract_inverted_index.patterns | 84, 92 |
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| abstract_inverted_index.highlight | 224 |
| abstract_inverted_index.influence | 5, 154 |
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| abstract_inverted_index.modelling | 201 |
| abstract_inverted_index.moisture, | 87 |
| abstract_inverted_index.moisture. | 218 |
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| abstract_inverted_index.topography-based | 174 |
| abstract_inverted_index.moisture-topography | 168 |
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| abstract_inverted_index.environments.&lt;/p&gt; | 238 |
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| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
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| citation_normalized_percentile |