Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark
Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soi...
Saved in:
| Published in | PloS one Vol. 9; no. 8; p. e105519 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
19.08.2014
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0-5, 5-15, 15-30, 30-60 and 60-100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg(-1) was reported for 0-5 cm soil, whereas there was on average 2.2 g SOC kg(-1) at 60-100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg(-1) was found at 60-100 cm soil depth. Average SOC stock for 0-30 cm was 72 t ha(-1) and in the top 1 m there was 120 t SOC ha(-1). In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. |
|---|---|
| AbstractList | Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0−5, 5−15, 15−30, 30−60 and 60−100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg
−1
was reported for 0−5 cm soil, whereas there was on average 2.2 g SOC kg
−1
at 60−100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg
−1
was found at 60−100 cm soil depth. Average SOC stock for 0−30 cm was 72 t ha
−1
and in the top 1 m there was 120 t SOC ha
−1
. In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0-5, 5-15, 15-30, 30-60 and 60-100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg(-1) was reported for 0-5 cm soil, whereas there was on average 2.2 g SOC kg(-1) at 60-100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg(-1) was found at 60-100 cm soil depth. Average SOC stock for 0-30 cm was 72 t ha(-1) and in the top 1 m there was 120 t SOC ha(-1). In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0-5, 5-15, 15-30, 30-60 and 60-100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg.sup.-1 was reported for 0-5 cm soil, whereas there was on average 2.2 g SOC kg.sup.-1 at 60-100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg.sup.-1 was found at 60-100 cm soil depth. Average SOC stock for 0-30 cm was 72 t ha.sup.-1 and in the top 1 m there was 120 t SOC ha.sup.-1 . In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0−5, 5−15, 15−30, 30−60 and 60−100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg−1 was reported for 0−5 cm soil, whereas there was on average 2.2 g SOC kg−1 at 60−100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg−1 was found at 60−100 cm soil depth. Average SOC stock for 0−30 cm was 72 t ha−1 and in the top 1 m there was 120 t SOC ha−1. In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0-5, 5-15, 15-30, 30-60 and 60-100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg(-1) was reported for 0-5 cm soil, whereas there was on average 2.2 g SOC kg(-1) at 60-100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg(-1) was found at 60-100 cm soil depth. Average SOC stock for 0-30 cm was 72 t ha(-1) and in the top 1 m there was 120 t SOC ha(-1). In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories.Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0-5, 5-15, 15-30, 30-60 and 60-100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg(-1) was reported for 0-5 cm soil, whereas there was on average 2.2 g SOC kg(-1) at 60-100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg(-1) was found at 60-100 cm soil depth. Average SOC stock for 0-30 cm was 72 t ha(-1) and in the top 1 m there was 120 t SOC ha(-1). In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark, we modeled the vertical distribution of soil organic carbon (SOC) and bulk density, and mapped its spatial distribution at five standard soil depth intervals (0−5, 5−15, 15−30, 30−60 and 60−100 cm) using 18 environmental variables as predictors. SOC distribution was influenced by precipitation, land use, soil type, wetland, elevation, wetness index, and multi-resolution index of valley bottom flatness. The highest average SOC content of 20 g kg −1 was reported for 0−5 cm soil, whereas there was on average 2.2 g SOC kg −1 at 60−100 cm depth. For SOC and bulk density prediction precision decreased with soil depth, and a standard error of 2.8 g kg −1 was found at 60−100 cm soil depth. Average SOC stock for 0−30 cm was 72 t ha −1 and in the top 1 m there was 120 t SOC ha −1 . In total, the soils stored approximately 570 Tg C within the top 1 m. The soils under agriculture had the highest amount of carbon (444 Tg) followed by forest and semi-natural vegetation that contributed 11% of the total SOC stock. More than 60% of the total SOC stock was present in Podzols and Luvisols. Compared to previous estimates, our approach is more reliable as we adopted a robust quantification technique and mapped the spatial distribution of SOC stock and prediction uncertainty. The estimation was validated using common statistical indices and the data and high-resolution maps could be used for future soil carbon assessment and inventories. |
| Audience | Academic |
| Author | Greve, Mette B. Adhikari, Kabindra Hartemink, Alfred E. Minasny, Budiman Greve, Mogens H. Bou Kheir, Rania |
| AuthorAffiliation | Tennessee State University, United States of America 1 Department of Soil Science, University of Wisconsin−Madison, Madison, Wisconsin, United States of America 2 Department of Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia 3 Department of Agro-ecology, Aarhus University, Tjele, Denmark |
| AuthorAffiliation_xml | – name: 3 Department of Agro-ecology, Aarhus University, Tjele, Denmark – name: Tennessee State University, United States of America – name: 2 Department of Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia – name: 1 Department of Soil Science, University of Wisconsin−Madison, Madison, Wisconsin, United States of America |
| Author_xml | – sequence: 1 givenname: Kabindra surname: Adhikari fullname: Adhikari, Kabindra – sequence: 2 givenname: Alfred E. surname: Hartemink fullname: Hartemink, Alfred E. – sequence: 3 givenname: Budiman surname: Minasny fullname: Minasny, Budiman – sequence: 4 givenname: Rania surname: Bou Kheir fullname: Bou Kheir, Rania – sequence: 5 givenname: Mette B. surname: Greve fullname: Greve, Mette B. – sequence: 6 givenname: Mogens H. surname: Greve fullname: Greve, Mogens H. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25137066$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNk22L1DAQx4uceA_6DUQLguiLXZM0zbX3Qjj2Tl04WXDVt2Gapt3sZZOatMf57U13u7I9DpFCWya_-c9DZk6jI2ONjKKXGE1xco4_rG3nDOhpE8xThFGa4vxJdILzhEwYQcnRwf9xdOr9GqE0yRh7Fh2TNEggxk6i6ytVqxZ0_BWaRpk6tlW8tErHC1eDUSKegSusiWfWtNK0PgZTxsvWilsfKxNfSbMBd_s8elqB9vLF8D2Lfny6_j77MrlZfJ7PLm8mguWknZQUZSIXDGGWMMkQFedFgVBJU5xVAgpCGJRpJgmSecEyUiDICWBcbN8AyVn0eqfbaOv50AHPcZoGCUJZHoj5jigtrHnjVEjvN7eg-NZgXc3BtUpoyQvASUayPM1pSSkJsWQmQ4ZECpyILAlaH4doXbGRpQj1O9Aj0fGJUSte2ztOe2GMg8C7QcDZX530Ld8oL6TWYKTttnmnjOAE04C-eYA-Xt1A1RAKUKayIa7oRfklxVkIS2kfdvoIFZ5SbpQI41KpYB85vB85iP6y79saOu_5fPnt_9nFzzH79oBdSdDtylvdtcoaPwZfHXb6b4v3cxqAix0gnPXeyYqLMLW9TihNaY4R75di3zTeLwUfliI40wfOe_1_uv0BbXsNBA |
| CitedBy_id | crossref_primary_10_3390_land12050983 crossref_primary_10_1016_j_geoderma_2016_12_008 crossref_primary_10_3390_agronomy12061338 crossref_primary_10_1016_j_geodrs_2022_e00568 crossref_primary_10_3390_rs12071095 crossref_primary_10_1016_j_geoderma_2020_114174 crossref_primary_10_1016_j_scitotenv_2024_173060 crossref_primary_10_1038_s44264_024_00015_3 crossref_primary_10_1016_j_catena_2018_04_013 crossref_primary_10_1016_j_jclepro_2021_130232 crossref_primary_10_1016_j_geoderma_2020_114852 crossref_primary_10_2298_GSF2327029K crossref_primary_10_1016_j_geodrs_2023_e00611 crossref_primary_10_3390_land13040466 crossref_primary_10_1038_s41597_023_02056_8 crossref_primary_10_1016_j_sab_2023_106712 crossref_primary_10_1016_j_atech_2022_100106 crossref_primary_10_1016_j_wre_2024_100245 crossref_primary_10_5194_soil_5_79_2019 crossref_primary_10_1016_j_geodrs_2022_e00578 crossref_primary_10_1016_S1002_0160_18_60001_3 crossref_primary_10_1093_forestry_cpab037 crossref_primary_10_1007_s11119_024_10128_x crossref_primary_10_1017_S0021859617000971 crossref_primary_10_1016_j_geoderma_2021_115659 crossref_primary_10_1016_j_scitotenv_2020_143644 crossref_primary_10_1080_03650340_2019_1626983 crossref_primary_10_3390_rs14122846 crossref_primary_10_1016_j_scitotenv_2017_05_239 crossref_primary_10_1016_j_apm_2019_12_016 crossref_primary_10_1016_j_earscirev_2020_103359 crossref_primary_10_1016_j_scitotenv_2023_166921 crossref_primary_10_1016_j_geoderma_2021_115534 crossref_primary_10_5194_hess_23_2615_2019 crossref_primary_10_1016_j_geoderma_2019_02_007 crossref_primary_10_2136_sssaj2014_09_0392 crossref_primary_10_1080_10807039_2015_1122509 crossref_primary_10_1007_s12517_021_08457_6 crossref_primary_10_1038_s43247_024_01293_y crossref_primary_10_1111_ejss_12464 crossref_primary_10_1016_j_jclepro_2016_10_162 crossref_primary_10_5194_soil_2_25_2016 crossref_primary_10_1016_j_jenvman_2021_112483 crossref_primary_10_1016_j_geoderma_2017_10_018 crossref_primary_10_1016_j_catena_2019_104226 crossref_primary_10_1016_j_catena_2023_107476 crossref_primary_10_1016_j_geoderma_2018_12_037 crossref_primary_10_1002_ecs2_4170 crossref_primary_10_1039_D4JA00292J crossref_primary_10_1134_S106422932360207X crossref_primary_10_1016_j_geoderma_2019_03_037 crossref_primary_10_1016_j_catena_2021_105897 crossref_primary_10_1016_S2095_3119_16_61337_0 crossref_primary_10_1007_s11027_018_9815_y crossref_primary_10_1016_j_geoderma_2019_114008 crossref_primary_10_1016_j_jag_2016_09_002 crossref_primary_10_3390_su16104312 crossref_primary_10_1016_j_geoderma_2018_08_011 crossref_primary_10_1007_s10661_021_09543_8 crossref_primary_10_1016_j_catena_2023_107242 crossref_primary_10_1016_j_scitotenv_2023_165811 crossref_primary_10_1111_sum_12310 crossref_primary_10_3390_rs14122940 crossref_primary_10_3390_land9120487 crossref_primary_10_1186_s13717_023_00474_5 crossref_primary_10_1016_j_geodrs_2018_e00192 crossref_primary_10_1007_s10661_019_7580_3 crossref_primary_10_1016_j_geoderma_2023_116557 crossref_primary_10_1016_j_scitotenv_2022_154464 crossref_primary_10_1007_s12665_018_7801_z crossref_primary_10_3390_su16229670 crossref_primary_10_1007_s40899_022_00704_2 crossref_primary_10_1016_j_geoderma_2015_07_016 crossref_primary_10_1016_j_geoderma_2015_07_017 crossref_primary_10_1016_j_jaridenv_2020_104251 crossref_primary_10_7717_peerj_9126 crossref_primary_10_1016_j_ecolind_2020_106288 crossref_primary_10_1016_j_geodrs_2024_e00776 crossref_primary_10_1016_j_geoderma_2022_116316 crossref_primary_10_1016_j_geodrs_2018_e00195 crossref_primary_10_1016_j_scitotenv_2015_12_094 crossref_primary_10_3390_f12121698 crossref_primary_10_1016_j_geodrs_2020_e00256 crossref_primary_10_3390_rs15184491 crossref_primary_10_1016_j_geoderma_2023_116660 crossref_primary_10_1002_jeq2_20665 crossref_primary_10_1007_s40808_023_01723_4 crossref_primary_10_1016_j_geoderma_2024_116840 crossref_primary_10_1016_j_scitotenv_2017_08_012 crossref_primary_10_3390_rs8121003 crossref_primary_10_3390_land12030520 crossref_primary_10_3390_rs8110927 crossref_primary_10_3390_land13081309 crossref_primary_10_1016_j_geoderma_2020_114260 crossref_primary_10_1126_sciadv_1602008 crossref_primary_10_1016_j_scitotenv_2017_01_207 crossref_primary_10_3390_rs13040769 crossref_primary_10_1016_j_eiar_2023_107278 crossref_primary_10_3390_land12010255 crossref_primary_10_3390_rs14061315 crossref_primary_10_3390_agronomy10030395 crossref_primary_10_1016_j_cageo_2020_104454 crossref_primary_10_1016_j_geoderma_2023_116549 crossref_primary_10_1016_j_geoderma_2019_05_031 crossref_primary_10_1016_j_geodrs_2020_e00260 crossref_primary_10_1007_s11368_024_03829_3 crossref_primary_10_3389_fsoil_2022_890437 crossref_primary_10_1016_j_gfs_2015_07_001 crossref_primary_10_1016_j_geoderma_2020_114472 crossref_primary_10_1109_JSTARS_2025_3534238 crossref_primary_10_1111_tgis_12831 crossref_primary_10_2139_ssrn_3967917 crossref_primary_10_1016_j_catena_2021_105299 crossref_primary_10_2139_ssrn_3996673 crossref_primary_10_1002_saj2_20080 crossref_primary_10_1007_s12145_025_01822_z crossref_primary_10_1016_j_jenvman_2024_123141 crossref_primary_10_1080_24749508_2023_2167632 crossref_primary_10_1007_s10661_022_10434_9 crossref_primary_10_1007_s11356_023_27556_3 crossref_primary_10_1007_s12665_024_11834_5 crossref_primary_10_1016_j_geodrs_2021_e00413 crossref_primary_10_3389_fenvs_2021_809995 crossref_primary_10_1016_j_fecs_2023_100101 crossref_primary_10_1016_j_geoderma_2020_114365 crossref_primary_10_1016_j_still_2025_106530 crossref_primary_10_1016_S2095_3119_19_62857_1 crossref_primary_10_3390_ijgi10040243 crossref_primary_10_3390_su15086495 crossref_primary_10_1016_j_scitotenv_2016_07_066 crossref_primary_10_1016_j_geodrs_2024_e00763 crossref_primary_10_1016_j_jenvman_2021_113357 crossref_primary_10_1016_j_catena_2021_105183 crossref_primary_10_1016_j_geoderma_2017_05_018 crossref_primary_10_1111_sum_12753 crossref_primary_10_1111_sum_12995 crossref_primary_10_1016_j_geoderma_2024_116873 crossref_primary_10_1016_S2095_3119_21_63620_1 crossref_primary_10_3390_land12020494 crossref_primary_10_1016_S2095_3119_18_62069_6 crossref_primary_10_1007_s12517_023_11670_0 crossref_primary_10_1016_j_catena_2023_107409 crossref_primary_10_3390_agronomy11040703 crossref_primary_10_3390_su8111154 crossref_primary_10_3390_land12091696 crossref_primary_10_1016_j_seh_2023_100049 crossref_primary_10_3390_f10111023 crossref_primary_10_1016_j_geodrs_2016_03_002 crossref_primary_10_1016_j_ecolind_2023_111208 crossref_primary_10_1016_j_catena_2024_107813 crossref_primary_10_1016_j_geodrs_2020_e00294 crossref_primary_10_1080_10106049_2020_1720314 crossref_primary_10_1109_TGRS_2024_3511118 crossref_primary_10_3389_fenvs_2021_761313 crossref_primary_10_1016_j_scitotenv_2020_137814 crossref_primary_10_1111_ejss_12998 crossref_primary_10_1016_j_geoderma_2017_05_048 crossref_primary_10_1016_j_scitotenv_2019_02_317 crossref_primary_10_1016_j_scitotenv_2023_167292 crossref_primary_10_3390_f12111430 crossref_primary_10_3390_rs16152712 crossref_primary_10_1016_j_jenvman_2024_121882 crossref_primary_10_1016_j_geodrs_2024_e00855 crossref_primary_10_1186_s40066_021_00295_9 crossref_primary_10_3390_rs12030393 crossref_primary_10_1016_j_geoderma_2021_115014 crossref_primary_10_1007_s11368_022_03370_1 crossref_primary_10_1007_s10460_024_10605_z crossref_primary_10_1016_j_catena_2016_02_016 crossref_primary_10_1016_S2095_3119_17_61762_3 crossref_primary_10_3390_agronomy12051019 crossref_primary_10_1007_s12665_023_10756_y crossref_primary_10_1016_j_geodrs_2021_e00444 crossref_primary_10_1016_j_foreco_2016_05_047 crossref_primary_10_1016_j_geoderma_2016_11_022 crossref_primary_10_1016_j_geoderma_2021_115282 crossref_primary_10_1016_j_geodrs_2020_e00269 crossref_primary_10_1016_j_still_2019_104465 crossref_primary_10_1016_j_geodrs_2021_e00468 crossref_primary_10_1016_j_scitotenv_2024_174533 crossref_primary_10_1016_j_ecolind_2022_109420 crossref_primary_10_1371_journal_pone_0162489 crossref_primary_10_3390_rs12162601 crossref_primary_10_1007_s13762_022_03909_2 crossref_primary_10_3390_rs15102494 crossref_primary_10_1016_j_scitotenv_2022_153394 crossref_primary_10_1016_j_geoderma_2020_114794 crossref_primary_10_3390_agronomy11061189 crossref_primary_10_1016_j_geoderma_2016_02_021 crossref_primary_10_2136_vzj2015_09_0131 crossref_primary_10_1016_j_geoderma_2021_114998 crossref_primary_10_1080_00167223_2021_1949366 crossref_primary_10_1016_j_geoderma_2019_01_023 crossref_primary_10_3390_agronomy10081139 crossref_primary_10_1016_j_scitotenv_2020_138244 crossref_primary_10_1134_S1064229320090136 crossref_primary_10_1016_j_catena_2022_106024 crossref_primary_10_17221_105_2022_SWR crossref_primary_10_1016_j_catena_2021_105258 crossref_primary_10_1016_j_geodrs_2020_e00275 crossref_primary_10_1016_j_geoderma_2015_08_035 crossref_primary_10_2134_jeq2017_08_0329 crossref_primary_10_1016_j_grj_2017_06_001 crossref_primary_10_1016_j_still_2015_07_004 crossref_primary_10_1007_s12665_024_11960_0 crossref_primary_10_3390_su11102879 crossref_primary_10_1016_j_geoderma_2020_114684 crossref_primary_10_3390_w14101668 crossref_primary_10_1016_j_catena_2023_107086 crossref_primary_10_1007_s11368_021_02987_y crossref_primary_10_1029_2018WR023939 crossref_primary_10_1186_s12302_024_00912_x crossref_primary_10_1016_j_geodrs_2022_e00527 crossref_primary_10_31857_S0032180X23600841 crossref_primary_10_3390_rs14102504 crossref_primary_10_1111_ejss_70040 crossref_primary_10_5194_hess_23_4603_2019 crossref_primary_10_1007_s10661_016_5204_8 crossref_primary_10_1016_j_still_2021_105114 crossref_primary_10_1016_j_ecolind_2017_08_046 crossref_primary_10_1016_j_geoderma_2020_114779 crossref_primary_10_5194_bg_13_3863_2016 crossref_primary_10_1002_ecs2_3223 crossref_primary_10_3390_land9100349 crossref_primary_10_2139_ssrn_3996866 crossref_primary_10_1016_j_catena_2020_104844 crossref_primary_10_1016_j_geodrs_2016_12_001 crossref_primary_10_1016_j_geoderma_2019_01_007 crossref_primary_10_4236_ajcc_2019_81006 crossref_primary_10_1016_j_scitotenv_2020_140965 crossref_primary_10_1016_j_measurement_2022_111706 crossref_primary_10_1016_j_geoderma_2019_01_015 crossref_primary_10_2136_sssaj2015_11_0405 crossref_primary_10_5194_soil_5_289_2019 crossref_primary_10_1371_journal_pone_0128781 crossref_primary_10_3390_ijerph19148852 crossref_primary_10_1002_ldr_4293 crossref_primary_10_1080_03650340_2016_1154543 crossref_primary_10_3390_s22072685 crossref_primary_10_1016_j_geodrs_2017_07_005 crossref_primary_10_1016_j_geodrs_2017_07_003 crossref_primary_10_1016_j_geoderma_2015_08_009 crossref_primary_10_1016_j_geoderma_2018_09_006 crossref_primary_10_1016_j_ecolind_2018_01_049 crossref_primary_10_1016_j_envpol_2021_118397 crossref_primary_10_1016_j_geoderma_2018_09_005 crossref_primary_10_3389_fsoil_2023_1090145 crossref_primary_10_1016_j_geoderma_2019_02_030 crossref_primary_10_1016_j_still_2019_104410 crossref_primary_10_1016_j_geoderma_2019_113912 crossref_primary_10_1016_j_geoderma_2021_115356 crossref_primary_10_1016_j_scitotenv_2023_168602 crossref_primary_10_1134_S1064229324602014 crossref_primary_10_1016_j_geodrs_2019_e00204 crossref_primary_10_5194_soil_4_173_2018 crossref_primary_10_1016_j_scitotenv_2019_02_420 crossref_primary_10_1016_j_geodrs_2021_e00387 crossref_primary_10_3390_su16125157 crossref_primary_10_1007_s13157_023_01705_3 crossref_primary_10_1016_j_geodrs_2022_e00561 |
| Cites_doi | 10.2136/sssaj2009.0158 10.1071/SR05136 10.1029/2002WR001426 10.1007/s11119-005-0681-8 10.1002/esp.3290120107 10.1111/j.1365-2486.2009.02013.x 10.1890/1051-0761(2000)010[0423:TVDOSO]2.0.CO;2 10.1016/j.geoderma.2014.03.007 10.1016/S0016-7061(03)00223-4 10.1016/0016-7061(95)00007-B 10.1016/S0166-2481(08)00008-1 10.1111/j.1365-2389.1996.tb01386.x 10.1111/ejss.12169 10.1016/j.scitotenv.2013.04.070 10.1016/j.geoderma.2013.07.002 10.1016/j.geoderma.2014.03.008 10.1016/j.geoderma.2012.05.026 10.5194/bg-2-15-2005 10.1080/00224561.1996.12457102 10.1007/978-3-319-04084-4 10.1016/j.geoderma.2009.10.007 10.1111/j.1475-2743.2001.tb00002.x 10.1111/ejss.12041 10.1007/978-90-481-8863-5_21 10.1097/SS.0000000000000066 10.1016/j.geomorph.2011.06.026 10.2136/sssaj2003.2580 10.1111/j.1365-2486.2010.02183.x 10.1016/j.ecolmodel.2005.05.021 10.1111/j.1365-2486.2012.02699.x 10.1016/j.geoderma.2011.01.010 10.1016/j.jenvman.2010.01.001 10.1080/00167223.2007.10649565 10.1111/j.1365-2389.1986.tb00377.x 10.1016/B978-0-12-800137-0.00003-0 10.1016/j.geoderma.2013.09.023 10.2136/sssaj2012.0275 10.1016/j.foreco.2014.01.003 10.1007/s11104-010-0425-z 10.1080/00167223.1985.10649211 10.2136/sssaj1993.03615995005700020026x 10.1016/B978-0-12-405942-9.00001-3 10.5194/bg-10-8353-2013 10.1016/j.chemolab.2008.06.003 10.1016/S0167-8809(03)00016-1 10.1016/S0016-7061(99)00003-8 10.1016/j.geoderma.2011.03.006 10.1111/j.1365-2486.2005.001075.x 10.2136/sssaj2007.0410 10.5194/bg-8-1053-2011 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2014 Public Library of Science 2014 Adhikari et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2014 Adhikari et al 2014 Adhikari et al |
| Copyright_xml | – notice: COPYRIGHT 2014 Public Library of Science – notice: 2014 Adhikari et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2014 Adhikari et al 2014 Adhikari et al |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM IOV ISR 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY RC3 7X8 5PM DOA |
| DOI | 10.1371/journal.pone.0105519 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Materials Science Collection ProQuest Central Engineering Research Database Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection ProQuest Biological Science Collection Agriculture Science Database ProQuest Health & Medical Collection Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) Open Access资源_DOAJ |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Agricultural Science Database MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) Agriculture Ecology |
| DocumentTitleAlternate | Carbon Stocks in Danish Soils: A Baseline Map |
| EISSN | 1932-6203 |
| ExternalDocumentID | 1554512469 oai_doaj_org_article_ba138289594d4420a9e8e4082ec13c83 PMC4138211 3407813241 A418138441 25137066 10_1371_journal_pone_0105519 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GeographicLocations | Denmark Netherlands United States--US Wisconsin Aarhus Denmark |
| GeographicLocations_xml | – name: Aarhus Denmark – name: Denmark – name: Wisconsin – name: Netherlands – name: United States--US |
| GroupedDBID | --- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHMBA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO PTHSS PYCSY RNS RPM SV3 TR2 UKHRP WOQ WOW ~02 ~KM CGR CUY CVF ECM EIF IPNFZ NPM PJZUB PPXIY PQGLB PV9 RIG RZL BBORY PMFND 3V. 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ H94 K9. KL. M7N P64 PKEHL PQEST PQUKI PRINS RC3 7X8 5PM PUEGO - 02 AAPBV ABPTK ADACO BBAFP KM |
| ID | FETCH-LOGICAL-c692t-d408c9c601636e604c7bb00d4518fcab226ad58e20e9b682b0a92a11b92a11aa3 |
| IEDL.DBID | M48 |
| ISSN | 1932-6203 |
| IngestDate | Sun Apr 03 16:01:26 EDT 2022 Wed Aug 27 01:23:17 EDT 2025 Thu Aug 21 18:14:27 EDT 2025 Fri Jul 11 03:12:35 EDT 2025 Sun Aug 17 01:11:22 EDT 2025 Tue Jun 17 21:04:47 EDT 2025 Tue Jun 10 20:23:40 EDT 2025 Fri Jun 27 04:41:50 EDT 2025 Fri Jun 27 03:58:42 EDT 2025 Thu May 22 21:22:48 EDT 2025 Mon Jul 21 05:53:17 EDT 2025 Thu Apr 24 23:03:19 EDT 2025 Sun Jul 06 05:03:52 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Language | English |
| License | This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. Creative Commons Attribution License |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c692t-d408c9c601636e604c7bb00d4518fcab226ad58e20e9b682b0a92a11b92a11aa3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: KA MHG. Performed the experiments: KA MHG. Analyzed the data: KA AEH BM MHG. Contributed reagents/materials/analysis tools: KA AEH BM RBK MBG MHG. Contributed to the writing of the manuscript: KA. Deceased. Competing Interests: The authors have declared that no competing interests exist. |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1371/journal.pone.0105519 |
| PMID | 25137066 |
| PQID | 1554512469 |
| PQPubID | 1436336 |
| ParticipantIDs | plos_journals_1554512469 doaj_primary_oai_doaj_org_article_ba138289594d4420a9e8e4082ec13c83 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4138211 proquest_miscellaneous_1555621314 proquest_journals_1554512469 gale_infotracmisc_A418138441 gale_infotracacademiconefile_A418138441 gale_incontextgauss_ISR_A418138441 gale_incontextgauss_IOV_A418138441 gale_healthsolutions_A418138441 pubmed_primary_25137066 crossref_citationtrail_10_1371_journal_pone_0105519 crossref_primary_10_1371_journal_pone_0105519 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-08-19 |
| PublicationDateYYYYMMDD | 2014-08-19 |
| PublicationDate_xml | – month: 08 year: 2014 text: 2014-08-19 day: 19 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: San Francisco – name: San Francisco, USA |
| PublicationTitle | PloS one |
| PublicationTitleAlternate | PLoS One |
| PublicationYear | 2014 |
| Publisher | Public Library of Science Public Library of Science (PLoS) |
| Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
| References | ref57 L Krogh (ref26) 2003; 96 AB McBratney (ref1) 2003; 117 B Minasny (ref5) 2013; 118 P Beckett (ref58) 1971; 34 ref19 MH Greve (ref27) 2007; 107 PJJ Desmet (ref66) 1996; 51 IA Janssens (ref20) 2005; 2 MP Martin (ref53) 2011; 8 IOA Odeh (ref40) 1995; 67 EG Jobbágy (ref23) 2000; 10 ref51 M Wiesmeier (ref60) 2012; 18 R Bou Kheir (ref12) 2010; 91 TFA Bishop (ref15) 1999; 91 ref45 AE Hartemink (ref3) 2014; 2 ref41 ref44 ref43 K Adhikari (ref35) 2013; 77 TG Mueller (ref50) 2003; 67 EN Bui (ref48) 2006; 191 EN Bui (ref56) 2009; 23 AE Hartemink (ref17) 2014; 230−231 D Arrouays (ref39) 2014; 125 D Arrouays (ref11) 2001; 17 U Mishra (ref25) 2009; 73 VI Vasenev (ref46) 2014; 226–227 M Lacoste (ref7) 2014; 213 B Minasny (ref42) 2008; 94 ref37 ref36 ref31 M Lacoste (ref47) 2011; 133 ref30 ref33 B Minasny (ref24) 2006; 44 ref2 ID Moore (ref64) 1993; 57 ref38 T Dorji (ref6) 2014; 318 K Adhikari (ref32) 2014; 214–215 J Smith (ref21) 2005; 11 HB Madsen (ref34) 1985; 85 R Poncehernandez (ref16) 1986; 37 V Chaplot (ref13) 2010; 16 J Meersmans (ref55) 2011; 17 U Mishra (ref9) 2010; 74 M Wiesmeier (ref54) 2011; 340 E Doblas-Miranda (ref14) 2013; 10 CW Ross (ref52) 2013; 461–462 B Kempen (ref18) 2011; 162 ref28 BP Malone (ref8) 2009; 154 ref29 LW Zevenbergen (ref63) 1987; 12 JC Gallant (ref65) 2003; 39 H Jenny (ref4) 1968; 32 RH Razakamanarivo (ref49) 2011; 162 NP Odgers (ref10) 2012; 189–190 ref62 ref61 NH Batjes (ref22) 1996; 47 SJ Chapman (ref59) 2013; 64 |
| References_xml | – ident: ref37 – ident: ref62 – volume: 74 start-page: 906 year: 2010 ident: ref9 article-title: Predicting the spatial variation of the soil organic carbon pool at a regional scale publication-title: Soil Science Society of America Journal doi: 10.2136/sssaj2009.0158 – volume: 44 start-page: 233 year: 2006 ident: ref24 article-title: Prediction and digital mapping of soil carbon storage in the Lower Namoi Valley publication-title: Australian Journal of Soil Research doi: 10.1071/SR05136 – volume: 39 start-page: 1347 year: 2003 ident: ref65 article-title: A multiresolution index of valley bottom flatness for mapping depositional areas publication-title: Water Resources Research doi: 10.1029/2002WR001426 – ident: ref43 doi: 10.1007/s11119-005-0681-8 – volume: 12 start-page: 47 year: 1987 ident: ref63 article-title: Quantitative analysis of land surface topography publication-title: Earth Surface Processes and Landforms doi: 10.1002/esp.3290120107 – volume: 34 start-page: 1 year: 1971 ident: ref58 article-title: Soil variability: a review publication-title: Soils and Fertilizers – volume: 16 start-page: 1380 year: 2010 ident: ref13 article-title: Soil organic carbon stocks in Laos: spatial variations and controlling factors publication-title: Global Change Biology doi: 10.1111/j.1365-2486.2009.02013.x – volume: 2 start-page: e366v361 year: 2014 ident: ref3 article-title: Soil carbon research and global environmental challenges publication-title: PeerJ PrePrints – volume: 10 start-page: 423 year: 2000 ident: ref23 article-title: The vertical distribution of soil organic carbon and its relation to climate and vegetation publication-title: Ecological applications doi: 10.1890/1051-0761(2000)010[0423:TVDOSO]2.0.CO;2 – volume: 226–227 start-page: 103 year: 2014 ident: ref46 article-title: How to map soil organic carbon stocks in highly urbanized regions publication-title: Geoderma doi: 10.1016/j.geoderma.2014.03.007 – volume: 117 start-page: 3 year: 2003 ident: ref1 article-title: On digital soil mapping publication-title: Geoderma doi: 10.1016/S0016-7061(03)00223-4 – volume: 67 start-page: 215 year: 1995 ident: ref40 article-title: Further results on prediction of soil properties from terrain attributes - Heterotopic cokriging and Regression-kriging publication-title: Geoderma doi: 10.1016/0016-7061(95)00007-B – ident: ref57 – ident: ref61 doi: 10.1016/S0166-2481(08)00008-1 – volume: 47 start-page: 151 year: 1996 ident: ref22 article-title: Total carbon and nitrogen in the soils of the world publication-title: European Journal of Soil Science doi: 10.1111/j.1365-2389.1996.tb01386.x – ident: ref29 doi: 10.1111/ejss.12169 – ident: ref30 – volume: 32 start-page: 5 year: 1968 ident: ref4 article-title: Interplay of soil organic matter and soil fertility with state factors and soil properties. “Study Week on Organic Matter and Soil Fertility” publication-title: , Pontificiae Academiae Scientiarvm Scripta Varia – ident: ref36 – volume: 461–462 start-page: 149 year: 2013 ident: ref52 article-title: Spatiotemporal modeling of soil organic carbon stocks across a subtropical region publication-title: Science of The Total Environment doi: 10.1016/j.scitotenv.2013.04.070 – volume: 213 start-page: 296 year: 2014 ident: ref7 article-title: High resolution 3D mapping of soil organic carbon in a heterogeneous agricultural landscape publication-title: Geoderma doi: 10.1016/j.geoderma.2013.07.002 – volume: 230−231 start-page: 305 year: 2014 ident: ref17 article-title: Towards digital soil morphometrics publication-title: Geoderma doi: 10.1016/j.geoderma.2014.03.008 – volume: 189–190 start-page: 153 year: 2012 ident: ref10 article-title: Equal-area spline functions applied to a legacy soil database to create weighted-means maps of soil organic carbon at a continental scale publication-title: Geoderma doi: 10.1016/j.geoderma.2012.05.026 – volume: 2 start-page: 15 year: 2005 ident: ref20 article-title: The carbon budget of terrestrial ecosystems at country-scale–a European case study publication-title: Biogeosciences doi: 10.5194/bg-2-15-2005 – volume: 51 start-page: 427 year: 1996 ident: ref66 article-title: A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units publication-title: Journal of Soil and Water Conservation doi: 10.1080/00224561.1996.12457102 – ident: ref2 doi: 10.1007/978-3-319-04084-4 – volume: 154 start-page: 138 year: 2009 ident: ref8 article-title: Mapping continuous depth functions of soil carbon storage and available water capacity publication-title: Geoderma doi: 10.1016/j.geoderma.2009.10.007 – volume: 17 start-page: 7 year: 2001 ident: ref11 article-title: The carbon content of topsoil and its geographical distribution in France publication-title: Soil use and Management doi: 10.1111/j.1475-2743.2001.tb00002.x – volume: 64 start-page: 455 year: 2013 ident: ref59 article-title: Comparison of soil carbon stocks in Scottish soils between 1978 and 2009 publication-title: European Journal of Soil Science doi: 10.1111/ejss.12041 – ident: ref51 doi: 10.1007/978-90-481-8863-5_21 – ident: ref44 doi: 10.1097/SS.0000000000000066 – volume: 133 start-page: 90 year: 2011 ident: ref47 article-title: Regional mapping of soil parent material by machine learning based on point data publication-title: Geomorphology doi: 10.1016/j.geomorph.2011.06.026 – volume: 67 start-page: 258 year: 2003 ident: ref50 article-title: Soil carbon maps: Enhancing spatial estimates with simple terrain attributes at multiple scales publication-title: Soil Science Society of America Journal doi: 10.2136/sssaj2003.2580 – volume: 17 start-page: 466 year: 2011 ident: ref55 article-title: Spatial analysis of soil organic carbon evolution in Belgian croplands and grasslands, 1960–2006 publication-title: Global Change Biology doi: 10.1111/j.1365-2486.2010.02183.x – ident: ref33 – volume: 191 start-page: 431 year: 2006 ident: ref48 article-title: Knowledge discovery from models of soil properties developed through data mining publication-title: Ecological Modelling doi: 10.1016/j.ecolmodel.2005.05.021 – volume: 18 start-page: 2233 year: 2012 ident: ref60 article-title: Soil organic carbon stocks in southeast Germany (Bavaria) as affected by land use, soil type and sampling depth publication-title: Global Change Biology doi: 10.1111/j.1365-2486.2012.02699.x – volume: 162 start-page: 107 year: 2011 ident: ref18 article-title: Three-dimensional mapping of soil organic matter content using soil type-specific depth functions publication-title: Geoderma doi: 10.1016/j.geoderma.2011.01.010 – ident: ref45 – volume: 91 start-page: 1150 year: 2010 ident: ref12 article-title: Predictive mapping of soil organic carbon in wet cultivated lands using classification-tree based models: The case study of Denmark publication-title: Journal of Environmental Management doi: 10.1016/j.jenvman.2010.01.001 – volume: 107 start-page: 1 year: 2007 ident: ref27 article-title: Generating a Danish raster-based topsoil property map combining choropleth maps and point information publication-title: Geografisk Tidsskrift-Danish Journal of Geography doi: 10.1080/00167223.2007.10649565 – ident: ref41 – volume: 37 start-page: 455 year: 1986 ident: ref16 article-title: An improved method for reconstructing a soil-profile from analyses of a small number of samples publication-title: Journal of Soil Science doi: 10.1111/j.1365-2389.1986.tb00377.x – volume: 125 start-page: 93 year: 2014 ident: ref39 article-title: GlobalSoilMap: Toward a fine-resolution global grid of soil properties publication-title: Advances in Agronomy doi: 10.1016/B978-0-12-800137-0.00003-0 – volume: 214–215 start-page: 101 year: 2014 ident: ref32 article-title: Constructing a soil class map of Denmark based on the FAO legend using digital techniques publication-title: Geoderma doi: 10.1016/j.geoderma.2013.09.023 – volume: 77 start-page: 860 year: 2013 ident: ref35 article-title: High-resolution 3-D mapping of soil texture in Denmark publication-title: Soil Science Society of America Journal doi: 10.2136/sssaj2012.0275 – ident: ref19 – volume: 318 start-page: 91 year: 2014 ident: ref6 article-title: Digital soil mapping of soil organic carbon stocks under different land use and land cover types in montane ecosystems, Eastern Himalayas publication-title: Forest Ecology and Management doi: 10.1016/j.foreco.2014.01.003 – volume: 340 start-page: 7 year: 2011 ident: ref54 article-title: Digital mapping of soil organic matter stocks using Random Forest modeling in a semi-arid steppe ecosystem publication-title: Plant Soil doi: 10.1007/s11104-010-0425-z – volume: 85 start-page: 1 year: 1985 ident: ref34 article-title: The establishment of pedological soil databases in Denmark publication-title: Geografisk Tidsskrift-Danish Journal of Geography doi: 10.1080/00167223.1985.10649211 – ident: ref38 – volume: 57 start-page: 443 year: 1993 ident: ref64 article-title: Soil attribute prediction using terrain analysis publication-title: Soil Science Society of America Journal doi: 10.2136/sssaj1993.03615995005700020026x – volume: 118 start-page: 1 year: 2013 ident: ref5 article-title: Digital mapping of soil carbon publication-title: Advances in Agronomy doi: 10.1016/B978-0-12-405942-9.00001-3 – volume: 10 start-page: 8353 year: 2013 ident: ref14 article-title: Soil carbon stocks and their variability across the forests, shrublands and grasslands of peninsular Spain publication-title: Biogeosciences doi: 10.5194/bg-10-8353-2013 – ident: ref28 – volume: 94 start-page: 72 year: 2008 ident: ref42 article-title: Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy publication-title: Chemometrics and intelligent laboratory systems doi: 10.1016/j.chemolab.2008.06.003 – volume: 96 start-page: 19 year: 2003 ident: ref26 article-title: Preliminary estimates of contemporary soil organic carbon stocks in Denmark using multiple datasets and four scaling-up methods publication-title: Agriculture, Ecosystems & Environment doi: 10.1016/S0167-8809(03)00016-1 – volume: 91 start-page: 27 year: 1999 ident: ref15 article-title: Modelling soil attribute depth functions with equal-area quadratic smoothing splines publication-title: Geoderma doi: 10.1016/S0016-7061(99)00003-8 – volume: 162 start-page: 335 year: 2011 ident: ref49 article-title: Mapping organic carbon stocks in eucalyptus plantations of the central highlands of Madagascar: A multiple regression approach publication-title: Geoderma doi: 10.1016/j.geoderma.2011.03.006 – volume: 11 start-page: 2141 year: 2005 ident: ref21 article-title: Projected changes in mineral soil carbon of European croplands and grasslands, 1990–2080 publication-title: Global Change Biology doi: 10.1111/j.1365-2486.2005.001075.x – volume: 73 start-page: 614 year: 2009 ident: ref25 article-title: Predicting soil organic carbon stock using profile depth distribution functions and ordinary kriging publication-title: Soil Science Society of America Journal doi: 10.2136/sssaj2007.0410 – volume: 23 start-page: 1 year: 2009 ident: ref56 article-title: Using knowledge discovery with data mining from the Australian Soil Resource Information System database to inform soil carbon mapping in Australia publication-title: Global biogeochemical cycles – ident: ref31 – volume: 8 start-page: 1053 year: 2011 ident: ref53 article-title: Spatial distribution of soil organic carbon stocks in France publication-title: Biogeosciences doi: 10.5194/bg-8-1053-2011 |
| SSID | ssj0053866 |
| Score | 2.5710835 |
| Snippet | Estimation of carbon contents and stocks are important for carbon sequestration, greenhouse gas emissions and national carbon balance inventories. For Denmark,... |
| SourceID | plos doaj pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | e105519 |
| SubjectTerms | Agriculture Agriculture - methods Analysis Biology and Life Sciences Bulk density Carbon Carbon - chemistry Carbon Sequestration Denmark Digital mapping Digital maps Ecology Ecology and Environmental Sciences Environmental Monitoring - methods Forests Greenhouse effect Greenhouse gases Inventories Inventory management Land use Models, Theoretical Moisture content Natural vegetation Organic carbon Organic soils Podzolic soils Podzols Precipitation (Meteorology) Science Soil - chemistry Soil carbon Soil depth Soil mapping Soil sciences Soil types Spatial distribution Standard error Vertical distribution Wetness index |
| SummonAdditionalLinks | – databaseName: Open Access资源_DOAJ dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fb9MwELbQnnhBjF8LFDAICXjIFseuEz8OtmkgARIwtDfLcZxSrXOqpv3_uXPcqEGTxgMvlVpfq_S7u9zn9vwdIW-gRGRN6ZqUc2VTUSnIuQae5pwb6fKsdDmeRv7yVZ5fiM-X08udUV_YE9bLA_fAHVUGVfJKNVWiFiLPjHKlwynJzjJuy6DzCTVvu5nq78GQxVLGg3K8YEfRL4fL1rvDMBMSlXV2ClHQ6x_uynvLRdvdRDn_7pzcKUVn98m9yCHpcX_t--SO8w_IfszSjr6LUtLvH5LTk_kMp4LQa4M6DDPaNrRr5wvaD3Oy1JpV1XqKDevYUUGNrynQQXvV0bmnJ85fm9XVI3Jxdvrz43kaByekVqp8ndaAj1UWlVa4dDITtqggvWoxZWVjTQWUy9RTcEPmVCXLvAJUc8NYFR6N4Y_JngeoDrDzyUIVd9LCNgUdUGZNwRrRKFVb8GWVEL5FUduoKo7DLRY6_FVWwO6iB0Uj9jpin5B0eNeyV9W4xf4DOmiwRU3s8AKgpWOk6NsiJSEv0b26P2A6ZLY-FsByeAm8MCGvgwXqYnhsvJmZTdfpT99-_YPRj-8jo7fRqGkBDmviYQf4Tqi3NbKcjCwhu-1o-QCDcYtKp5H_AUkTEkCZbAP05uVXwzJ-KDbTeddugg2wXsaZSMiTPp4HZIHu8gJoaEKKUaSPoB-v-PnvIEsuEH7Gnv4PXz0jd4GZCvzxnqkJ2VuvNu45sL919SIk-h-R0FUb priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fb9MwELagCAkeECs_ljHAICTgIVscp0n8hMrWMpAGEmVob5HjOKWic0qTPvDfc-e4YUET8FKp9aVK7ny-z87dd4S8gBARlKkufc6F8qNcgM-V8DXkXMY6DFIdYjXy6cf45Cz6cD46dwdutUur3K6JdqEuKoVn5IcY9yA4wW7uzeqHj12j8O2qa6FxndxgEGkwpSudvtuuxODLcezK5XjCDp11DlaV0Qe2MyTy61wKR5a1v1ubB6tlVV8FPP_Mn7wUkKZ3yR2HJOm4Nf0OuabNkNwez9eOTUMPyc2J5aT-OSQ7zodr-soRTb--RybHizn2DKGnElka5rQq6axaLGlboKnokVznlaGWwco0NZWmoLMGVtCaLgw91uZCrr_fJ2fTyZejE9-1VfBVLMLGL6IgVUIhDwuPdRxEKsnB-QpQb1oqmQMgk8UIjBRokcdpmAdShJKx3H5KyR-QgQEV7mJelIIYr2MFm5iogJ1eUCasjEohCgWWzj3Ct9rNlOMcx9YXy8y-SEtg79EqK0ObZM4mHvG7q1Yt58Y_5N-i4TpZZMy2P1TreeYcEEABsi2mYiTwRkN4Jp1q7LatFeMq5R55imbP2vLTzu-zcQQYiKeAGj3y3Eoga4bBtJy53NR19v7T1_8Qmn3uCb10QmUF6lDSlULAMyEbV09yvycJvq96w7s4SbdaqbPfXgJXbifu1cPPumH8U0y1M7raWBnAxIyzyCMP23neaRbAME8ApHok6XlAT_X9EbP4ZknLI1Q_Y3t_v61H5BYg0ggP7ZnYJ4NmvdGPAfU1-RPr2r8AoBdUbA priority: 102 providerName: ProQuest |
| Title | Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/25137066 https://www.proquest.com/docview/1554512469 https://www.proquest.com/docview/1555621314 https://pubmed.ncbi.nlm.nih.gov/PMC4138211 https://doaj.org/article/ba138289594d4420a9e8e4082ec13c83 http://dx.doi.org/10.1371/journal.pone.0105519 |
| Volume | 9 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Nj9MwELWW7oULYvnaQCkGIQGHVHHsJvEBod1uy4LUBW0p2lvkOE6pKElpWgku_HZmnDQiqAi4WGo9iZJnj_0ce94Q8hSmCC-LTOZyLrUrEgk-l8FPn3MVGN-LjI_RyJOL4Hwm3l4Nrg7ILmdrDWC5d2mH-aRm62X_29fvr8DhX9qsDSHbXdRfFbnp24yPqAN6CHNTiDkNJqLZVwDvtruXyFrcwPd4HUz3p7u0Jiur6d-M3J3Vsij30dLfT1f-Ml2Nb5IbNc-kJ1XHOCIHJr9FjmpPLunzWm76xW0yOlvMMXMInSjUapjTIqPTYrGkVZimpkO1ToqcWh2rfFNSlad0uoFxtKSLnJ6Z_Itaf75DZuPRh-G5WydXcHUg_Y2bCi_SUqMaCw9M4AkdJuCCqRiwKNMqAVqm0gE0lWdkEkR-4inpK8YSWyrF75JODlAd4-koDTO9CTQsZUQK6z0vC1kmMilTDe2dOITvUIx1rTyOCTCWsd1OC2EFUoESI_Zxjb1D3OaqVaW88Rf7U2ygxhZ1s-0fxXoe124I1AA1FyM5kPigPryTiQzm3DaacR1xhzzC5o2rINTG--MTAUyIR8AdHfLEWqB2Ro6Hc-ZqW5bxm3cf_8FoetkyelYbZQXAoVUdEAHvhJpcLctuyxJGAN2qPsbOuEOljJEjApETAYDS3XXQ_dWPm2q8KR64y02xtTbAjBlnwiH3qv7cIAuUmIdAVR0Stnp6C_p2Tb74ZKXLBcLP2P3_bNsH5DoQVYHf8pnsks5mvTUPgQxukh65Fl6FUEZDhuX4dY8cno4u3l_27OeVnvV_LH-MfgKCCGEX |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdGEQIeECsfCwxmEAh4yJbEaT4eECprS8vWIdEN7S04jlMqSlKaVmj_FH8jd44TFjQBL3up1PoS2efz3e9q-3eEPIMQYaWBTE3GQmG6cQhrLoWvDmPck44VSAdvI4-PvOGJ-_60c7pBflZ3YfBYZeUTlaNOcoH_ke9h3IPgBNncm8V3E6tG4e5qVUKjNIsDefYDUrbi9agH8_vccQb94_2hqasKmMILnZWZuFYgQoE0JMyTnuUKPwbbS-DtQSp4DHiEJx3ooyXD2Auc2OKhw207Vp-cM3jvFXLVhcFhshcM3lWeH3yH5-nrecy397Q17C7yTO6qSpTI53Mu_KkqAXUsaC3meXER0P3zvOa5ADi4TW5p5Eq7paltkg2ZtcnN7nSp2Ttkm1zrKw7sszbZ1D6joC81sfWrO6Tfm02xRgkdc2SFmNI8pZN8NqflhVBB9_kyzjOqGLOyVUF5ltDJCjx2QWcZ7cnsG19-vUtOLkXh90grAxVu4TksAZhCegKSJjeBzNJKfTt10zBMBFhWbBBWaTcSmuMcS23MI7Vx50OuUyorwjmJ9JwYxKyfWpQcH_-Qf4sTV8siQ7f6IV9OI73gAYQgu2MQdkLsqANjkoHE6t5S2EwEzCA7OO1Red219jNR1wXMxQJAqQZ5qiSQpSPDY0BTvi6KaPTh038ITT42hF5ooTQHdQiur17AmJD9qyG53ZAEXyMazVtopJVWiuj3qoQnK8O9uPlJ3YwvxaN9mczXSgYwuM1s1yD3SzuvNQvgm_kAig3iN1ZAQ_XNlmz2RZGku6h-237w927tkOvD4_FhdDg6OnhIbgAadnHDwA63SWu1XMtHgDhX8WO1zCn5fNl-5Rdl45DM |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdGEQgeECuwBQYzCAQ8ZE3iNB8PCJV-aGVsIMrQ3jLHcUpFSUrTCu1f46_jznHCgibgZS-VWl8S53xfru9-R8hTcBFWGsjUZCwUphuHoHMpfHUY4550rEA6WI18eOTtH7tvT7onG-RnVQuDaZWVTVSGOskF_kfeQb8Hzgl2c51Up0V8GIxeL76b2EEKT1qrdhqliBzIsx-wfStejQew1s8cZzT81N83dYcBU3ihszIT1wpEKBCShHnSs1zhxyCHCTwpSAWPITbhSRfma8kw9gIntnjocNuO1SfnDO57hVz1mR-gjgX9Or0E7Ijn6VI95tsdLRl7izyTe6orJWL7nHOFqmNA7Rdai3leXBT0_pm7ec4Zjm6TWzqKpb1S7DbJhsza5GZvutRIHrJNrg0VHvZZm2xq-1HQFxrk-uUdMhzMptivhB5yRIiY0jylk3w2p2VxqKB9vozzjCr0rGxVUJ4ldLIC613QWUYHMvvGl1_vkuNLYfg90sqAhduYkyUgvpCegA2Um8Au00p9O3XTMEwESFlsEFZxNxIa7xzbbswjdYjnw76nZFaEaxLpNTGIWV-1KPE-_kH_BheupkW0bvVDvpxGWvkhIEGkxyDshjhRB95JBhI7fUthMxEwg-ziskdl6Wttc6KeC_EXCyBiNcgTRYGIHRnK_pSviyIav__8H0STjw2i55oozYEdgusyDHgnRAJrUO40KMHuiMbwNgppxZUi-q2hcGUluBcPP66H8aaY5pfJfK1oIB63me0aZKuU85qzEIgzHwJkg_gNDWiwvjmSzb4owHQX2W_b9_8-rV1yHSxK9G58dPCA3IDA2MWzAzvcIa3Vci0fQvC5ih8pLafk9LLNyi_cxpTN |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Digital+Mapping+of+Soil+Organic+Carbon+Contents+and+Stocks+in+Denmark&rft.jtitle=PloS+one&rft.au=Adhikari%2C+Kabindra&rft.au=Hartemink%2C+Alfred+E.&rft.au=Minasny%2C+Budiman&rft.au=Bou+Kheir%2C+Rania&rft.date=2014-08-19&rft.issn=1932-6203&rft.eissn=1932-6203&rft.volume=9&rft.issue=8&rft.spage=e105519&rft_id=info:doi/10.1371%2Fjournal.pone.0105519&rft.externalDBID=n%2Fa&rft.externalDocID=10_1371_journal_pone_0105519 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon |