首页> 外文期刊>Forest Ecology and Management >Digital soil mapping of soil organic carbon stocks under different land use and land cover types in montane ecosystems, Eastern Himalayas.
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Digital soil mapping of soil organic carbon stocks under different land use and land cover types in montane ecosystems, Eastern Himalayas.

机译:喜马拉雅山东部山区生态系统不同土地利用和土地覆盖类型下的土壤有机碳储量的数字土壤制图。

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Quantification of soil organic carbon (SOC) stocks is quite useful for accurate monitoring of C sequestration. However, there are still substantial gaps in our knowledge of SOC stocks in many parts of the world, including the Himalayas. We investigated the total SOC stocks and its spatial distribution under different land use and land cover (LULC) types in montane ecosystems of Bhutan. 186 Soil profiles were described and sampled by genetic horizons at sites located using conditioned Latin hypercube sampling. SOC concentrations at the standard depths designated for the GlobalSoilMap.Net were estimated with an equal-area spline profile function. SOC concentrations at these depth intervals were digitally mapped to a fine resolution matrix of 90 m grid using regression kriging. We found significant influence of LULC categories on SOC concentration, SOC density, SOC stocks and their spatial distributions, although this influence decreased with increasing soil depth. The estimated mean SOC density in the top 1 m were highest in fir forest soils (41.4 kg m-2) and lowest in paddy land (12.0 kg m-2). Allowing for LULC relative areas, mixed conifer forest had the highest SOC stocks in the upper meter (12.4 Mt) with orchards the lowest (0.1 Mt). The total SOC stocks for the whole study area for the 0-5, 5-15, 15-30, 30-60 and 60-100 cm depths were 2.6, 5.0, 6.5, 7.5 and 5.4 Mt, respectively. The overall SOC stock of the study area for the upper meter was approximately 27.1 Mt. The combined forests accounted for more than 77.5% of the total SOC stocks of the study area. This and the relative SOC densities indicate that the conversion of even a fraction of forests to other LULC types could lead to substantial loss of SOC stocks. This loss of SOC stock is even greater when the decrease in aboveground biomass is also taken into consideration. However, appropriate management of the agricultural lands could increase their sequestration of atmospheric CO2.
机译:量化土壤有机碳(SOC)储量对于准确监测碳固存非常有用。但是,在包括喜马拉雅山在内的世界许多地区,我们对SOC库存的认识仍然存在很大差距。我们调查了不丹山地生态系统中不同土地利用和土地覆盖(LULC)类型下的SOC总储量及其空间分布。 186个土壤剖面被描述并通过遗传条件在使用条件拉丁超立方体采样的地点进行采样。使用等面积样条曲线函数估算了为GlobalSoilMap.Net指定的标准深度下的SOC浓度。使用回归克里金法将这些深度间隔处的SOC浓度数字化映射到90 m网格的精细分辨率矩阵。我们发现LULC类别对SOC浓度,SOC密度,SOC储量及其空间分布具有重大影响,尽管这种影响随着土壤深度的增加而减小。杉木林土壤中最上面1 m的估计平均SOC密度最高(41.4 kg m -2 ),而稻田中最低(12.0 kg m -2 )。考虑到LULC的相对面积,针叶树混交林的最高有机碳储量为16.4吨,而果园最低(0.1吨)。 0-5、5-15、15-30、30-60和60-100 cm深度的整个研究区域的总SOC储量分别为2.6 Mt,5.0 Mt,6.5 Mt,7.5 Mt和5.4Mt。上部仪表的研究区域的总SOC存量约为27.1Mt。混合森林占研究区域总SOC储量的77.5%以上。这个和相对的SOC密度表明,即使是一小部分森林向其他LULC类型的转化也可能导致SOC存量的大量损失。当还考虑到地上生物量的减少时,SOC存量的损失甚至更大。然而,对农田的适当管理可能会增加其对大气中CO 2 的固存。

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