Supplementary material to "High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra" Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.5194/bg-2023-61-supplement
We installed the collars 48 hours prior to the flux measurements to minimise the potential disturbance caused by the installation.We sealed the edges of the collars using moist inert quartz sand to secure an air-tight closure.We installed two steel collars at each GHG flux plot: one for the CO2 flux measurements, and another one for the CH4 and N2O measurements.These two were placed in similar conditions ca. 0.4 to 2 meters away from each other.We used separate collars for the two measurements due to destructive sampling conducted in CO2 flux collars after the measurements.Mean air temperatures in the chamber were 22 °C during the CH4 and N2O measurements, and 25 °C during the CO2 measurements, and the mean July temperature between 10 am and 5 pm from the temperature loggers (15 cm above the soil surface) in the study domain was 20 °C.Mean soil temperatures were 11 °C during CH4 and N2O measurements, and 13 °C during the CO2 measurements (range between 3 and 19 °C).Mean July soil temperature between 10 am and 5 pm from the temperature loggers in the study domain was 14 °C (range between 5 and 27 °C). S2. Flux calculation statisticsThe median explanatory power (R 2 ) of linear regression used to estimate CO2 fluxes was 0.91 and root mean square error (RMSE) 0.91 ppm CO2.Small fluxes from plots with little biomass had in general lower R 2 estimates but their RMSE was relatively similar to larger fluxes.For example, median R2 for CO2 fluxes between -0.5 and 0.5 g C m-2 d -1 was 0.11 and RMSE 0.89 ppm CO2, whereas the same values for fluxes larger than those (i.e. more negative and more positive) were 0.94 and 0.91 ppm CO2.We decided to keep all these fluxes in our data to guarantee that our measurements cover a broad range of fluxes and environmental conditions.The mean R 2 of linear regression for CH4 was 0.87, and lower, 0.30 for N2O due to high proportion of near-zero fluxes.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/bg-2023-61-supplement
- https://doi.org/10.5194/bg-2023-61-supplement
- OA Status
- gold
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4361846338
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4361846338Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/bg-2023-61-supplementDigital Object Identifier
- Title
-
Supplementary material to "High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra"Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-31Full publication date if available
- Authors
-
Anna‐Maria Virkkala, Pekka Niittynen, Julia Kemppinen, Maija E. Marushchak, Carolina Voigt, Geert Hensgens, Johanna Kerttula, Konsta Happonen, Vilna Tyystjärvi, Christina Biasi, Jenni Hultman, Janne Rinne, Miska LuotoList of authors in order
- Landing page
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https://doi.org/10.5194/bg-2023-61-supplementPublisher landing page
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https://doi.org/10.5194/bg-2023-61-supplementDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/bg-2023-61-supplementDirect OA link when available
- Concepts
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Tundra, Nitrous oxide, Methane, Carbon dioxide, Environmental science, Ecosystem, Atmospheric methane, Greenhouse gas, Terrestrial ecosystem, Environmental chemistry, Carbon dioxide in Earth's atmosphere, Carbon cycle, Atmosphere (unit), Atmospheric sciences, Earth science, Ecology, Chemistry, Geology, Geography, Meteorology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.3 | 162 |
| abstract_inverted_index.5 | 124, 173, 188 |
| abstract_inverted_index.C | 254 |
| abstract_inverted_index.R | 231, 310 |
| abstract_inverted_index.a | 301 |
| abstract_inverted_index.d | 256 |
| abstract_inverted_index.g | 253 |
| abstract_inverted_index.(R | 199 |
| abstract_inverted_index.-1 | 257 |
| abstract_inverted_index.10 | 121, 170 |
| abstract_inverted_index.11 | 146 |
| abstract_inverted_index.13 | 154 |
| abstract_inverted_index.14 | 184 |
| abstract_inverted_index.19 | 164 |
| abstract_inverted_index.20 | 141 |
| abstract_inverted_index.22 | 100 |
| abstract_inverted_index.25 | 109 |
| abstract_inverted_index.27 | 190 |
| abstract_inverted_index.48 | 4 |
| abstract_inverted_index.R2 | 245 |
| abstract_inverted_index.We | 0 |
| abstract_inverted_index.am | 122, 171 |
| abstract_inverted_index.an | 33 |
| abstract_inverted_index.at | 40 |
| abstract_inverted_index.by | 17 |
| abstract_inverted_index.cm | 131 |
| abstract_inverted_index.in | 63, 87, 96, 136, 179, 228, 292 |
| abstract_inverted_index.of | 23, 202, 304, 312, 328 |
| abstract_inverted_index.pm | 125, 174 |
| abstract_inverted_index.to | 7, 11, 31, 68, 83, 206, 240, 287, 295, 325 |
| abstract_inverted_index.(15 | 130 |
| abstract_inverted_index.0.4 | 67 |
| abstract_inverted_index.0.5 | 252 |
| abstract_inverted_index.CH4 | 56, 104, 149, 316 |
| abstract_inverted_index.CO2 | 48, 88, 113, 158, 208, 247 |
| abstract_inverted_index.GHG | 42 |
| abstract_inverted_index.N2O | 58, 106, 151, 323 |
| abstract_inverted_index.S2. | 192 |
| abstract_inverted_index.air | 94 |
| abstract_inverted_index.all | 289 |
| abstract_inverted_index.and | 51, 57, 105, 108, 115, 123, 150, 153, 163, 172, 189, 212, 251, 260, 277, 282, 306, 319 |
| abstract_inverted_index.but | 234 |
| abstract_inverted_index.ca. | 66 |
| abstract_inverted_index.due | 82, 324 |
| abstract_inverted_index.for | 46, 54, 78, 246, 269, 315, 322 |
| abstract_inverted_index.had | 227 |
| abstract_inverted_index.m-2 | 255 |
| abstract_inverted_index.one | 45, 53 |
| abstract_inverted_index.our | 293, 298 |
| abstract_inverted_index.ppm | 219, 263, 284 |
| abstract_inverted_index.the | 2, 8, 13, 18, 21, 24, 47, 55, 79, 92, 97, 103, 112, 116, 127, 133, 137, 157, 176, 180, 266 |
| abstract_inverted_index.two | 37, 60, 80 |
| abstract_inverted_index.was | 140, 183, 210, 237, 258, 317 |
| abstract_inverted_index.°C | 101, 110, 147, 155, 185 |
| abstract_inverted_index.-0.5 | 250 |
| abstract_inverted_index.0.11 | 259 |
| abstract_inverted_index.0.30 | 321 |
| abstract_inverted_index.0.89 | 262 |
| abstract_inverted_index.0.91 | 211, 218, 283 |
| abstract_inverted_index.0.94 | 281 |
| abstract_inverted_index.CO2, | 264 |
| abstract_inverted_index.Flux | 193 |
| abstract_inverted_index.July | 118, 166 |
| abstract_inverted_index.RMSE | 236, 261 |
| abstract_inverted_index.away | 71 |
| abstract_inverted_index.data | 294 |
| abstract_inverted_index.each | 41, 73 |
| abstract_inverted_index.flux | 9, 43, 49, 89 |
| abstract_inverted_index.from | 72, 126, 175, 222 |
| abstract_inverted_index.high | 326 |
| abstract_inverted_index.keep | 288 |
| abstract_inverted_index.mean | 117, 214, 309 |
| abstract_inverted_index.more | 275, 278 |
| abstract_inverted_index.root | 213 |
| abstract_inverted_index.same | 267 |
| abstract_inverted_index.sand | 30 |
| abstract_inverted_index.soil | 134, 143, 167 |
| abstract_inverted_index.than | 272 |
| abstract_inverted_index.that | 297 |
| abstract_inverted_index.used | 75, 205 |
| abstract_inverted_index.were | 61, 99, 145, 280 |
| abstract_inverted_index.with | 224 |
| abstract_inverted_index.(i.e. | 274 |
| abstract_inverted_index.0.87, | 318 |
| abstract_inverted_index.above | 132 |
| abstract_inverted_index.after | 91 |
| abstract_inverted_index.broad | 302 |
| abstract_inverted_index.cover | 300 |
| abstract_inverted_index.edges | 22 |
| abstract_inverted_index.error | 216 |
| abstract_inverted_index.hours | 5 |
| abstract_inverted_index.inert | 28 |
| abstract_inverted_index.lower | 230 |
| abstract_inverted_index.moist | 27 |
| abstract_inverted_index.plot: | 44 |
| abstract_inverted_index.plots | 223 |
| abstract_inverted_index.power | 198 |
| abstract_inverted_index.prior | 6 |
| abstract_inverted_index.range | 303 |
| abstract_inverted_index.steel | 38 |
| abstract_inverted_index.study | 138, 181 |
| abstract_inverted_index.their | 235 |
| abstract_inverted_index.these | 290 |
| abstract_inverted_index.those | 273 |
| abstract_inverted_index.using | 26 |
| abstract_inverted_index.°C). | 191 |
| abstract_inverted_index.(RMSE) | 217 |
| abstract_inverted_index.(range | 160, 186 |
| abstract_inverted_index.CO2.We | 285 |
| abstract_inverted_index.caused | 16 |
| abstract_inverted_index.domain | 139, 182 |
| abstract_inverted_index.during | 102, 111, 148, 156 |
| abstract_inverted_index.fluxes | 209, 221, 248, 270, 291, 305 |
| abstract_inverted_index.larger | 241, 271 |
| abstract_inverted_index.linear | 203, 313 |
| abstract_inverted_index.little | 225 |
| abstract_inverted_index.lower, | 320 |
| abstract_inverted_index.median | 196, 244 |
| abstract_inverted_index.meters | 70 |
| abstract_inverted_index.placed | 62 |
| abstract_inverted_index.quartz | 29 |
| abstract_inverted_index.sealed | 20 |
| abstract_inverted_index.secure | 32 |
| abstract_inverted_index.square | 215 |
| abstract_inverted_index.values | 268 |
| abstract_inverted_index.another | 52 |
| abstract_inverted_index.between | 120, 161, 169, 187, 249 |
| abstract_inverted_index.biomass | 226 |
| abstract_inverted_index.chamber | 98 |
| abstract_inverted_index.collars | 3, 25, 39, 77, 90 |
| abstract_inverted_index.decided | 286 |
| abstract_inverted_index.fluxes. | 330 |
| abstract_inverted_index.general | 229 |
| abstract_inverted_index.loggers | 129, 178 |
| abstract_inverted_index.similar | 64, 239 |
| abstract_inverted_index.whereas | 265 |
| abstract_inverted_index.estimate | 207 |
| abstract_inverted_index.example, | 243 |
| abstract_inverted_index.minimise | 12 |
| abstract_inverted_index.negative | 276 |
| abstract_inverted_index.other.We | 74 |
| abstract_inverted_index.sampling | 85 |
| abstract_inverted_index.separate | 76 |
| abstract_inverted_index.surface) | 135 |
| abstract_inverted_index.°C.Mean | 142 |
| abstract_inverted_index.CO2.Small | 220 |
| abstract_inverted_index.air-tight | 34 |
| abstract_inverted_index.conducted | 86 |
| abstract_inverted_index.estimates | 233 |
| abstract_inverted_index.guarantee | 296 |
| abstract_inverted_index.installed | 1, 36 |
| abstract_inverted_index.near-zero | 329 |
| abstract_inverted_index.positive) | 279 |
| abstract_inverted_index.potential | 14 |
| abstract_inverted_index.°C).Mean | 165 |
| abstract_inverted_index.closure.We | 35 |
| abstract_inverted_index.conditions | 65 |
| abstract_inverted_index.fluxes.For | 242 |
| abstract_inverted_index.proportion | 327 |
| abstract_inverted_index.regression | 204, 314 |
| abstract_inverted_index.relatively | 238 |
| abstract_inverted_index.calculation | 194 |
| abstract_inverted_index.destructive | 84 |
| abstract_inverted_index.disturbance | 15 |
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| abstract_inverted_index.temperature | 119, 128, 168, 177 |
| abstract_inverted_index.measurements | 10, 81, 159, 299 |
| abstract_inverted_index.temperatures | 95, 144 |
| abstract_inverted_index.environmental | 307 |
| abstract_inverted_index.measurements, | 50, 107, 114, 152 |
| abstract_inverted_index.statisticsThe | 195 |
| abstract_inverted_index.conditions.The | 308 |
| abstract_inverted_index.installation.We | 19 |
| abstract_inverted_index.measurements.Mean | 93 |
| abstract_inverted_index.measurements.These | 59 |
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| countries_distinct_count | 0 |
| institutions_distinct_count | 13 |
| citation_normalized_percentile.value | 0.06385882 |
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| citation_normalized_percentile.is_in_top_10_percent | False |