Articles | Volume 8, issue 2
https://doi.org/10.5194/soil-8-733-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-8-733-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
07 Dec 2022
Original research article |
| 07 Dec 2022
| 07 Dec 2022
Delineating the distribution of mineral and peat soils at the landscape scale in northern boreal regions
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
Eliza Maher Hasselquist
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
Johan Stendahl
Department of Soil and Environment, Swedish University of Agricultural
Science, Uppsala 756 51, Sweden
Mats B. Nilsson
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
Siddhartho S. Paul
Department of Forest Ecology and Management, Swedish University of
Agricultural Science, Umeå 901 87, Sweden
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Headwaters make up the majority of any given stream network, yet, they are poorly mapped. A solution to this is to model the stream networks from high resolution digital elevation models. Matthews Correlation Coefficient (MCC) for a modelled stream network was 0.463 while the best topographical maps of today, had an MCC of 0.387. A residual analysis showed that 15 % of the errors could be explained by variability in runoff, quaternary deposits, local topography and location.
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Cited articles
Ågren, A. M., Larson, J., Paul, S. S., Laudon, H., and Lidberg, W.: Use
of multiple LIDAR-derived digital terrain indices and machine learning for
high-resolution national-scale soil moisture mapping of the Swedish forest
landscape, Geoderma, 404, 115280,
https://doi.org/10.1016/j.geoderma.2021.115280, 2021.
Arrouays, D., Grundy, M. G., Hartemink, A. E., Hempel, J. W., Heuvelink, G.
B. M., Hong, S. Y., Lagacherie, P., Lelyk, G., McBratney, A. B., McKenzie,
N. J., Mendonca-Santos, M. d. L., Minasny, B., Montanarella, L., Odeh, I. O.
A., Sanchez, P. A., Thompson, J. A., and Zhang, G.-L.: Chapter Three –
GlobalSoilMap: Toward a Fine-Resolution Global Grid of Soil Properties, in:
Advances in Agronomy, edited by: Sparks, D. L., Academic Press, 93–134,
https://doi.org/10.1016/B978-0-12-800137-0.00003-0, 2014.
Astrup, R., Bernier, P. Y., Genet, H., Lutz, D. A., and Bright, R. M.: A
sensible climate solution for the boreal forest, Nat. Clim. Change, 8, 11–12,
https://doi.org/10.1038/s41558-017-0043-3, 2018.
Barthelmes, A., Couwenberg, J., Risager, M., Tegetmeyer, C., and Joosten,
H.: Peatlands and Climate in a Ramsar Context: A Nordic-Baltic Perspective,
Nordic Council of Ministers, ISBN 978-92-893-4196-7, 2015.
Beaulne, J., Garneau, M., Magnan, G., and Boucher, E.: Peat deposits store
more carbon than trees in forested peatlands of the boreal biome, Sci.
Rep.-UK, 11, 2657, 2021.
Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A.,
and Wood, E. F.: Present and future Koppen-Geiger climate classification
maps at 1-km resolution, Sci. Data, 5, 180214, https://doi.org/10.1038/sdata.2018.214, 2018.
Behrens, T., Schmidt, K., MacMillan, R. A., and Rossel, R. A. V.:
Multi-scale digital soil mapping with deep learning, Sci. Rep.-UK, 8, 15244, https://doi.org/10.1038/s41598-018-33516-6,
2018.
Berglund, O. and Berglund, K.: Distribution and cultivation intensity of
agricultural peat and gyttja soils in Sweden and estimation of greenhouse
gas emissions from cultivated peat soils, Geoderma, 154, 173–180,
https://doi.org/10.1016/j.geoderma.2008.11.035, 2010.
Burton, R. G. O.: The peat resources of Great Britain (Scotland, England and
Wales and Isle of Man), in: Global Peat Resources, edited by: Lappalainen, E., International Peat Society, Jyskä, Finland, 79–86, ISBN 952-90-7487-5, 1996.
Chen, T., He,
T., Benesty, M., Khotilovich, V., Tang, Y., Cho, H., Chen, K., Mitchell, R.,
Cano, I., Zhou, T., Li, M., Xie, J., Lin, M., Geng, Y., and Li, Y.: xgboost:
Extreme Gradient Boosting, R package version 1.0.0.2, CRAN repository [code] , https://mran.microsoft.com/snapshot/2020-05-05/web/packages/xgboost/index.html (last access: 25 November 2022), 2020.
Cheng, K., Xu, X. R., Cui, L. Q., Li, Y. P., Zheng, J. F., Wu, W. N., Sun,
J. F., and Pan, G. X.: The role of soils in regulation of freshwater and
coastal water quality, Philos. T. R. Soc. B, 376, 20200176,
https://doi.org/10.1098/rstb.2020.0176, 2021.
Chicco, D. and Jurman, G.: The advantages of the Matthews correlation
coefficient (MCC) over F1 score and accuracy in binary classification
evaluation, BMC Genomics, 21, 6, https://doi.org/10.1186/s12864-019-6413-7,
2020.
Chicco, D., Warrens, M. J., and Jurman, G.: The Matthews Correlation
Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in
Binary Classification Assessment, IEEE Access, 9, 78368–78381,
https://doi.org/10.1109/ACCESS.2021.3084050, 2021.
Cohen, A., Klassen, S., and Evans, D.: Ethics in Archaeological Lidar,
Journal of Computer Applications in Archaeology, 3, 76–91,
https://doi.org/10.5334/jcaa.48, 2020.
Cohen, J.: A coefficient of agreement for nominal scales, Educ. Psychol. Meas.,
20, 37–46, 1960.
Creed, I. F., Sanford, S. E., Beall, F. D., Molot, L. A., and Dillon, P. J.:
Cryptic wetlands: integrating hidden wetlands in regression models of the
export of dissolved organic carbon from forested landscapes, Hydrol. Process.,
17, 3629–3648, https://doi.org/10.1002/hyp.1357, 2003.
Cruickshank, M. M. and Tomlinson, R. W.: Peatland in Northern Ireland:
inventory and prospect, Irish Geography, 23, 17–30,
https://doi.org/10.1080/00750779009478763, 1990.
Delgado, R. and Tibau, X. A.: Why Cohen's Kappa should be avoided as
performance measure in classification, Plos One, 14, e0222916,
https://doi.org/10.1371/journal.pone.0222916, 2019.
Dinerstein, E., Olson, D., Joshi, A., Vynne, C., Burgess, N. D.,
Wikramanayake, E., Hahn, N., Palminteri, S., Hedao, P., Noss, R., Hansen,
M., Locke, H., Ellis, E. C., Jones, B., Barber, C. V., Hayes, R., Kormos,
C., Martin, V., Crist, E., Sechrest, W., Price, L., Baillie, J. E. M.,
Weeden, D., Suckling, K., Davis, C., Sizer, N., Moore, R., Thau, D., Birch,
T., Potapov, P., Turubanova, S., Tyukavina, A., de Souza, N., Pintea, L.,
Brito, J. C., Llewellyn, O. A., Miller, A. G., Patzelt, A., Ghazanfar, S.
A., Timberlake, J., Klöser, H., Shennan-Farpón, Y., Kindt, R.,
Lillesø, J.-P. B., van Breugel, P., Graudal, L., Voge, M., Al-Shammari,
K. F., and Saleem, M.: An Ecoregion-Based Approach to Protecting Half the
Terrestrial Realm, BioScience, 67, 534–545,
https://doi.org/10.1093/biosci/bix014, 2017.
Franzen, L. G., Lindberg, F., Viklander, V., and Walther, A.: The potential
peatland extent and carbon sink in Sweden, as related to the Peatland/Ice
Age Hypothesis, Mires Peat, 10, 1–19, 2012.
Fridman, J., Holm, S., Nilsson, M., Nilsson, P., Ringvall, A. H., and
Ståhl, G.: Adapting National Forest Inventories to changing requirements
– the case of the Swedish National Forest Inventory at the turn of the 20th
century, Silva Fenn, 48, 1095, https://doi.org/10.14214/sf.1095, 2014.
Gunnarsson, U. and Löfroth, M.: Våtmarksinventeringen – resultat
från 25 års inventeringar Nationell slutrapport för
våtmarksinventeringen (VMI) i Sverige, Stockholm, 120, ISBN 978-91-620-5925-5,
2009 (in Swedish).
Hirvas, H., Lagerbäck, R., Mäkinen, K., Nenonen, K., Olsen, L.,
Rodhe, L., and Thoresen, M.: The Nordkalott Project: studies of Quaternary
geology in northern Fennoscandia, Boreas, 17, 431–437,
https://doi.org/10.1111/j.1502-3885.1988.tb00560.x, 1988.
Hounkpatin, K. O. L., Stendahl, J., Lundblad, M., and Karltun, E.: Predicting the spatial distribution of soil organic carbon stock in Swedish forests using a group of covariates and site-specific data, SOIL, 7, 377–398, https://doi.org/10.5194/soil-7-377-2021, 2021.
Hånell, B.: Torvtäckta marker, dikning och sumpskogar i Svergie, Sveriges Lantbruksuniversitet,
Umeå, 6, ISSN 0280-7408, 1990.
Hånell, B.: Bilaga 4 – Möjligheterna till höjning av
skogsproduktionen i Sverige genom dikesrensning, dikning och gödsling av
torvmarker, in: Skogsskötsel för ökad tillväxt,
Faktaunderlag till MINT utredningen, edited by: Fahlvik, N., Johansson, U.,
and Nilsson, U., SLU, Alnarp, 26, ISBN 978-91-86197-43-8, 2009.
Imbrie, J., Berger, A., Boyle, E. A., Clemens, S. C., Duffy, A., Howard, W.
R., Kukla, G., Kutzbach, J., Martinson, D. G., Mcintyre, A., Mix, A. C.,
Molfino, B., Morley, J. J., Peterson, L. C., Pisias, N. G., Prell, W. L.,
Raymo, M. E., Shackleton, N. J., and Toggweiler, J. R.: On the Structure and
Origin of Major Glaciation Cycles 2. The 100,000-Year Cycle,
Paleoceanography, 8, 699–735, https://doi.org/10.1029/93PA02751, 1993.
Ivanov, K. E.: Water movement in mirelands, Academic Press, London England,
translated by: Arthur Thomson and Ingram, H. A. P., 276, ISBN 0123764602, 1981.
Jackson, R. B., Lajtha, K. Crow, S. E. Hugelius, G. Kramer, M. G., and
Pineiro G.: The Ecology of Soil Carbon: Pools, Vulnerabilities, and Biotic
and Abiotic Controls, Annu. Rev. Ecol. Evol. S., 48, 419–445,
https://doi.org/10.1146/annurev-ecolsys-112414-054234, 2017.
Jenny, H.: Factors of Soil Formation – A System of Quantitative Pedology,
Dover Publications, Inc., New York, ISBN 0486681289, 1941.
Joosten, H. and Clarke, D.: Wise use of mires and peatlands – Background and
principles including a framework for decision-making, Saarijärvi,
Finland, 304, ISBN 951-97744-8-3, 2002.
Karlsson, C., Sohlienius, G., and Peterson Becher, G.: Handledning för
jordartsgeologiska kartor och databaser över Sverige, Sveriges Geologiska Undersökning,
Uppsala, 83, https://resource.sgu.se/dokument/publikation/sgurapport/sgurapport202117rapport/s2117-rapport.pdf (last access: 29 November 2022), 2021 (in Swedish).
Kuglerova, L., Ågren, A., Jansson, R., and Laudon, H.: Towards
optimizing riparian buffer zones: Ecological and biogeochemical implications
for forest management, Forest Ecol. Manag., 334, 74–84,
https://doi.org/10.1016/j.foreco.2014.08.033, 2014a.
Kuglerova, L., Jansson, R., Ågren, A., Laudon, H., and Malm-Renofalt,
B.: Groundwater discharge creates hotspots of riparian plant species
richness in a boreal forest stream network, Ecology, 95, 715–725,
https://doi.org/10.1890/13-0363.1, 2014b.
Kuglerova, L., Dynesius, M., Laudon, H., and Jansson, R.: Relationships
Between Plant Assemblages and Water Flow Across a Boreal Forest Landscape: A
Comparison of Liverworts, Mosses, and Vascular Plants, Ecosystems, 19,
170–184, https://doi.org/10.1007/s10021-015-9927-0, 2016.
Laamrani, A., Valeria, O., Bergeron, Y., Fenton, N., Cheng, L. Z., and
Anyomi, K.: Effects of topography and thickness of organic layer on
productivity of black spruce boreal forests of the Canadian Clay Belt
region, Forest Ecol. Manag., 330, 144–157,
https://doi.org/10.1016/j.foreco.2014.07.013, 2014.
Lantmäteriet: Product Description, GSD-Property map, vector, Document version 6.2.7, report, 153, 2020.
Lappalainen, E. and Hänninen, P.: Suomen turvevarat, The peat reserves
of Finland, Espoo, Finland, 133, 1–19, 1993.
Latifovic, R., Pouliot, D., and Campbell, J.: Assessment of Convolution
Neural Networks for Surficial Geology Mapping in the South Rae Geological
Region, Northwest Territories, Canada, Remote Sens.-Basel, 10, 1–19,
https://doi.org/10.3390/rs10020307, 2018.
Lidberg, W., Nilsson, M., and Ågren, A.: Using machine learning to
generate high-resolution wet area maps for planning forest management: A
study in a boreal forest landscape, Ambio, 49, 475–486,
https://doi.org/10.1007/s13280-019-01196-9, 2020.
Loisel, J., Yu, Z. C., Beilman, D. W., Camill, P., Alm, J., Amesbury, M. J.,
Anderson, D., Andersson, S., Bochicchio, C., Barber, K., Belyea, L. R.,
Bunbury, J., Chambers, F. M., Charman, D. J., De Vleeschouwer, F.,
Fialkiewicz-Koziel, B., Finkelstein, S. A., Galka, M., Garneau, M.,
Hammarlund, D., Hinchcliffe, W., Holmquist, J., Hughes, P., Jones, M. C.,
Klein, E. S., Kokfelt, U., Korhola, A., Kuhry, P., Lamarre, A., Lamentowicz,
M., Large, D., Lavoie, M., MacDonald, G., Magnan, G., Makila, M., Mallon,
G., Mathijssen, P., Mauquoy, D., McCarroll, J., Moore, T. R., Nichols, J.,
O'Reilly, B., Oksanen, P., Packalen, M., Peteet, D., Richard, P. J. H.,
Robinson, S., Ronkainen, T., Rundgren, M., Sannel, A. B. K., Tarnocai, C.,
Thom, T., Tuittila, E. S., Turetsky, M., Valiranta, M., van der Linden, M.,
van Geel, B., van Bellen, S., Vitt, D., Zhao, Y., and Zhou, W. J.: A
database and synthesis of northern peatland soil properties and Holocene
carbon and nitrogen accumulation, Holocene, 24, 1028–1042,
https://doi.org/10.1177/0959683614538073, 2014.
Löfgren, P.: Skogsmark, samt träd- och buskmark inom fjällomradet, Arbetsrapport 34, Sveriges lantbruksuniversitet, Umeå, 13 pp., ISSN 1401-1204, 1998 (in Swedish).
Matthews, B. W.: Comparison of the predicted and observed secondary
structure of T4 phage lysozyme, Biochim. Biophys. Acta, 405, 442–451,
https://doi.org/10.1016/0005-2795(75)90109-9, 1975.
McGarty, C., Mavor, K. I., and Skorich, D. P.: Social categorization, in: International Encyclopedia of the Social & Behavioral
Sciences, edited by: Wright, J.
D., 186–191, https://doi.org/10.1016/B978-0-08-097086-8.24091-9,
2015.
Minasny, B., Berglund, O., Connolly, J., Hedley, C., de Vries, F., Gimona,
A., Kempen, B., Kidd, D., Lilja, H., Malone, B., McBratney, A., Roudier, P.,
O'Rourke, S., Rudiyanto, Padarian, J., Poggio, L., ten Caten, A., Thompson,
D., Tuve, C., and Widyatmanti, W.: Digital mapping of peatlands – A critical
review, Earth-Sci. Rev., 196, 102870,
https://doi.org/10.1016/j.earscirev.2019.05.014, 2019.
Nijp, J. J., Metselaar, K. Limpens, J. Bartholomeus, H. M. Nilsson, M. B.
Berendse, F., and van der Zee S. E. A. T. M.: High-resolution peat volume
change in a northern peatland: Spatial variability, main drivers, and impact
on ecohydrology, Ecohydrology, 12, e2114, https://doi.org/10.1002/eco.2114,
2019.
Nilsson, M., Mikkela, C., Sundh, I., Granberg, G., Svensson, B. H., and
Ranneby, B.: Methane emission from Swedish mires: National and regional
budgets and dependence on mire vegetation, J. Geophys. Res.-Atmos., 106,
20847–20860, https://doi.org/10.1029/2001JD900119, 2001.
Nilsson, T., Lundblad, M., and Karltun, E.: Förändring av torvmarksrelaterade
variabler på skogsmark mellan omdreven och
taxeringsår – Data från Riksskogstaxeringen (RT) och Markinventeringen
(MI), med koppling till vissa klimatdata från SMHI
Rapport no 17, Institutionen för mark och miljö, Sveriges Lantbruksuniversitet, Sveriges Metrologiska och Hydrologiska Institut, Norrköping, 62, ISSN 1653-8102, 2018 (in Swedish).
Olsen, L., Sveian, H., Ottesen, D., and Rise, L.: Quaternary glacial,
interglacial and interstadial deposits of Norway and adjacent onshore and
offshore areas., in: Quaternary Geology of Norway, edited by: Olsen, L.,
Fredin, O., and Olesen, O., Geological Survey of Norway Special Publication,
79–144, ISBN 978-82-7385-153-6, 2013.
Olsson, B. and Ledwith, M.: National Land Cover Database (NMD)
– Product Description, English version, Swedish Environmental Protection Agency, Stockholm, 13, 2020.
Olsson, M.: Soil survey in Sweden, In: Soil resources of Europe, edited by: Bullock, P., Jones, R. J. A., and Montanarella, L., The European Soil Bureau. Research Report No.6, EUR 18991 EN, Joint Research Centre, Ispra, Italy, 145–151, 1999.
Olsson, M. T., Erlandsson, M., Lundin, L., Nilsson, T., Nilsson, A., and
Stendahl, J.: Organic Carbon Stocks in Swedish Podzol Soils in Relation to
Soil Hydrology and Other Site Characteristics, Silva Fenn., 43, 209–222,
https://doi.org/10.14214/sf.207, 2009.
O'Neil, G. L., Goodall, J. L., Behl, M., and Saby, L.: Deep learning Using
Physically-Informed Input Data for Wetland Identification, Environ. Modell.
Softw., 126, 104665, https://doi.org/10.1016/j.envsoft.2020.104665, 2020.
Pan, Y. D., Birdsey, R. A., Fang, J. Y., Houghton, R., Kauppi, P. E., Kurz,
W. A., Phillips, O. L., Shvidenko, A., Lewis, S. L., Canadell, J. G., Ciais,
P., Jackson, R. B., Pacala, S. W., McGuire, A. D., Piao, S. L., Rautiainen,
A., Sitch, S., and Hayes, D.: A Large and Persistent Carbon Sink in the
World's Forests, Science, 333, 988–993,
https://doi.org/10.1126/science.1201609, 2011.
Ploum, S. W., Leach, J. A., Kuglerová, L., and Laudon, H.: Thermal
detection of discrete riparian inflow points (DRIPs) during contrasting
hydrological events, Hydrol. Process., 32, 3049–3050,
https://doi.org/10.1002/hyp.13184, 2018.
Pouliot, D., Latifovic, R., Pasher, J., and Duffe, J.: Assessment of
Convolution Neural Networks for Wetland Mapping with Landsat in the Central
Canadian Boreal Forest Region, Remote Sens.-Basel, 11, 772,
https://doi.org/10.3390/rs11070772, 2019.
Prince, A., Franssen, J., Lapierre, J. F., and Maranger, R.: High-resolution
broad-scale mapping of soil parent material using object-based image
analysis (OBIA) of LiDAR elevation data, Catena, 188, 104422,
https://doi.org/10.1016/j.catena.2019.104422, 2020.
Rydin, H. and Jeglum, J. K.: The biology of peatlands, Second edition,
Oxford Univesity Press, Oxford, 381, ISBN 9780199603008, 2013.
Rydin, H., Sjörs, H., and Löfroth, M.: Mires, in: Swedish plant
geography, edited by: Rydin, H., Snoeijs, P., and Diekmann, M., Acta
Phytogeographica Suecica, TK-tryck, Uppsala, 91–112, ISBN 91-72 1 0-084-2, 1999.
Saco, P. M., McDonough, K. R., Rodriguez, J. F., Rivera-Zayas, J., and
Sandi, S. G.: The role of soils in the regulation of hazards and extreme
events, Philos. T. R. Soc. B, 376, 20200178,
https://doi.org/10.1098/rstb.2020.0178, 2021.
Scharlemann, J. P. W., Tanner, E. V. J., Hiederer, R., and Kapos, V.: Global
soil carbon: understanding and managing the largest terrestrial carbon pool,
Carbon Manag., 5, 81–91, https://doi.org/10.4155/cmt.13.77, 2014.
Schöllin, M. and Daher, K. B.: Land use in Sweden, Seventh edition,
Örebro, 183, ISBN 978-91-618-1660-6, 2019.
Schönauer, M., Prinz, R., Väätäinen, K., Astrup, R.,
Pszenny, D., Lindeman, H., and Jaeger, D.: Spatio-temporal prediction of
soil moisture using soil maps, topographic indices and SMAP retrievals, Int.
J. Appl. Earth Obs., 108, 102730, https://doi.org/10.1016/j.jag.2022.102730,
2022.
Sewell, P. D., Quideau, S. A., Dyck, M., and Macdonald, E.: Long-term
effects of harvest on boreal forest soils in relation to a remote
sensing-based soil moisture index, Forest Ecol. Manag., 462, 117986,
https://doi.org/10.1016/j.foreco.2020.117986, 2020.
Silver, W. L., Perez, T., Mayer, A., and Jones, A. R.: The role of soil in
the contribution of food and feed, Philos. T. R. Soc. B, 376, 20200181,
https://doi.org/10.1098/rstb.2020.0181, 2021.
SLU: Field work instructions – Swedish National Forest Inventory
and Swedish Soil Inventory, Institutionen för skoglig resurshushållning, Umeå, 237, 2021.
Sveriges lantbruksuniversitet/Swedish University of Agricultural Sciences:
SLU Markfuktighetskartor, https://www.slu.se/mfk, last access: 25 November 2022.
Smith, P., Keesstra, S. D., Silver, W. L., Adhya, T. K., De Deyn, G. B.,
Carvalheiro, L. G., Giltrap, D. L., Renforth, P., Cheng, K., Sarkar, B.,
Saco, P. M., Scow, K., Smith, J., Morel, J. C., Thiele-Bruhn, S., Lal, R.,
and McElwee, P.: Soil-derived Nature's Contributions to People and their
contribution to the UN Sustainable Development Goals, Philos. T. R. Soc. B, 376, 20200185,
https://doi.org/10.1098/rstb.2020.0185, 2021.
Stendahl, J., Berg, B., and Lindahl, B. D.: Manganese availability is
negatively associated with carbon storage in northern coniferous forest
humus layers, Sci. Rep.-UK, 7, 15487,
https://doi.org/10.1038/s41598-017-15801-y, 2017.
Stroeven, A. P., Hattestrand, C., Kleman, J., Heyman, J., Fabel, D., Fredin,
O., Goodfellow, B. W., Harbor, J. M., Jansen, J. D., Olsen, L., Caffee, M.
W., Fink, D., Lundqvist, J., Rosqvist, G. C., Stromberg, B., and Jansson, K.
N.: Deglaciation of Fennoscandia, Quaternary Sci. Rev., 147, 91-121,
https://doi.org/10.1016/j.quascirev.2015.09.016, 2016.
Tanneberger, F., Tegetmeyer, C., Busse, S., Barthelmes, A., Shumka, S.,
Marine, A. M., Jenderedjian, K., Steiner, G. M., Essl, F., Etzold, J.,
Mendes, C., Kozulin, A., Frankard, P., Milanovic, D., Ganeva, A.,
Apostolova, I., Alegro, A.,
Delipetrou, P., Navratilova, J., Risager, M.,
Leivits, A., Fosaa, A. M., Tuominen, S., Muller, F., Bakuradze, T., Sommer,
M., Christanis, K., Szurdoki, E., Oskarsson, H., Brink, S. H., Connolly, J.,
Bragazza, L., Martinelli, G., Aleksans, O., Priede, A., Sungaila, D.,
Melovski, L., Belous, T., Saveljic, D., de Vries, F., Moen, A., Dembek, W.,
Mateus, J., Hanganu, J., Sirin, A., Markina, A., Napreenko, M., Lazarevic,
P., Stanova, V. S., Skoberne, P., Perez, P. H., Pontevedra-Pombal, X.,
Lonnstad, J., Kuchler, M., Wust-Galley, C., Kirca, S., Mykytiuk, O.,
Lindsay, R., and Joosten, H.: The peatland map of Europe, Mires Peat, 19,
22, https://doi.org/10.19189/MaP.2016.OMB.264, 2017.
WRB: World Reference Base for Soil Resources 2014, update 2015 International soil classification system for naming soils and creating legends for soil maps, World Soil resources reports 106, Food and Agriculture Organization of the United Nations, Rome, 192, ISBN 978-92-5-108369-7, 2015.
Zoltai, S. C., Pollett, F. C., Jeglum, J. K., and Adams, G. D.: Developing
a wetland classification for Canada, in: Forest Soils and Forest Land Management. Proceedings of the Fourth North American Forest Soils Conference, 4th North American Forest Soils Conference, Laval University, Laval, Quebec, Canada, August 1973, 497–511, 1975.
Short summary
Historically, many peatlands in the boreal region have been drained for timber production. Given the prospects of a drier future due to climate change, wetland restorations are now increasing. Better maps hold the key to insights into restoration targets and land-use management policies, and maps are often the number one decision-support tool. We use an AI-developed soil moisture map based on laser scanning data to illustrate how the mapping of peatlands can be improved across an entire nation.
Historically, many peatlands in the boreal region have been drained for timber production. Given...
