...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Geoderma: An International Journal of Soil Science >Effects of mapped variation in soil conditions on estimates of soil carbon and nitrogen stocks for South America.
【24h】

Effects of mapped variation in soil conditions on estimates of soil carbon and nitrogen stocks for South America.

机译：绘制的土壤条件变化对南美土壤碳和氮储量估算的影响。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Organic carbon and total nitrogen stocks for South America are computed using four 1:5 million scale soil datasets of different spatial resolution. These are the 60' by 60' resolution Zobler soil data file, the 30' by 30' resolution World Inventoryof Soil Emission Potentials (WISE) database, a 5' by 5' raster version of the Digital Soil Map of the World (DSMW), and a vector-based Soil and Terrain Database (SOTER). Estimates for total, regional stocks of organic carbon (SOC) range from 146.1 Pg C (Zobler) to 159.7 Pg C (SOTER) for the first 1 m of soil. More pronounced differences are observed among the four datasets when values for SOC stocks are compared at the level of the major soil grouping and their component soil units. In the case of Ferralsols, for example, the estimates for SOC stocks are 31.1 Pg C (SOTER), 41.4 Pg C (DSMW), 41.6 Pg C (WISE), and 58.3 Pg C (Zobler), respectively. In the case of Xanthic Ferralsols, the SOC stocks estimated with the Zobler and DSMW sets differ by～14 Pg C(～157%). The observed differences are due to varying areal estimates for the various soil units for the datasets under consideration, and the selection of soil profile data used. This study illustrates (a) the importance of the aggregation procedure used to account for the mapped spatial variation in soil conditions and (b) the need for updating the soil geographic and attribute data for the world in SOTER, so as to provide up-to-date soil data for studying interactions of human and natural systems atthe regional and continental level within the context of global change.
机译：使用四个具有不同空间分辨率的1：5百万比例土壤数据集，计算了南美的有机碳和总氮储量。这些是分辨率为60'x 60'的Zobler土壤数据文件，分辨率为30'x 30'的世界土壤排放潜力清单（WISE）数据库，世界数字土壤图（DSMW）的5'x 5'栅格版本。 ，以及基于矢量的土壤和地形数据库（SOTER）。对于头1 m的土壤，区域有机碳总量（SOC）的估算范围为146.1 Pg C（Zobler）至159.7 Pg C（SOTER）。当在主要土壤组及其组成土壤单位的水平上比较SOC储量值时，在四个数据集之间观察到更明显的差异。以Ferralsols为例，SOC储量的估算分别为31.1 Pg C（SOTER），41.4 Pg C（DSMW），41.6 Pg C（WISE）和58.3 Pg C（Zobler）。在黄原铁酸盐的情况下，用Zobler和DSMW集估计的SOC储量相差〜14 Pg C（〜157％）。观察到的差异是由于所考虑的数据集的各种土壤单元的面积估算值不同以及所使用的土壤剖面数据的选择所致。这项研究说明了（a）用于说明土壤条件中映射的空间变化的聚合程序的重要性，以及（b）需要更新SOTER中世界的土壤地理和属性数据，以便提供最新信息在全球变化背景下研究区域和大陆层面人类与自然系统相互作用的最新土壤数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号