Digital mapping of soil organic carbon contents and stocks in Denmark.
Digital mapping of soil organic carbon contents and stocks in Denmark.
复制标题
DOI：
10.1371/journal.pone.0105519
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Greve MH
中科院分区：
文献类型：
--
作者：
Adhikari K;Hartemink AE;Minasny B;Bou Kheir R;Greve MB;Greve MH
碳含量和储量的估算对碳固存、温室气体排放和国家碳平衡清单都很重要。在丹麦，我们模拟了土壤有机碳（SOC）和容重的垂直分布，并利用18个环境变量作为预测因子，绘制了5个标准土壤深度区间（0 - 5、5 - 15、15 - 30、30 - 60和60 - 100 cm）的空间分布。土壤有机碳分布受降水、土地利用、土壤类型、湿地、高程、湿度指数和谷底平整度多分辨率指数的影响。0 ~ 5 cm土层的平均有机碳含量最高，为20 g kg - 1, 60 ~ 100 cm土层的平均有机碳含量为2.2 g kg - 1。土壤有机碳和容重预测精度随土壤深度的增加而降低，60 ~ 100 cm土壤深度的标准误差为2.8 g kg−1。0 ~ 30 cm的平均SOC储量为72 t ha - 1，顶部1 m的平均SOC储量为120 t ha - 1。总的来说，土壤在顶部1米内储存了大约570 Tg C。农业条件下土壤碳含量最高（444 Tg），其次为森林和半自然植被，占总有机碳储量的11%。超过60%的SOC储量存在于Podzols和Luvisols中。与以往的估计相比，我们的方法更可靠，因为我们采用了稳健的量化技术，并绘制了SOC储量的空间分布和预测不确定性。利用常用统计指标对估算结果进行了验证，数据和高分辨率地图可用于未来土壤碳评估和清查。
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.
登录
查看更多内容
影响因子：
4.2
作者：
Chapman, S. J.;Bell, J. S.;Towers, W.
通讯作者：
Towers, W.
影响因子：
11.6
作者：
Chaplot, Vincent;Bouahom, Bounthong;Valentin, Christian
通讯作者：
Valentin, Christian
影响因子：
3.8
作者：
Arrouays, D;Deslais, W;Badeau, V
通讯作者：
Badeau, V
影响因子：
3.1
作者：
Bui, EN;Henderson, BL;Viergever, K
通讯作者：
Viergever, K
影响因子：
2.9
作者：
Adhikari, Kabindra;Kheir, Rania Bou;Greve, Mogens H.
通讯作者：
Greve, Mogens H.