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巴西亚马逊中部乌鲁库河流域土壤碳储量的空间变异性。

Spatial variability of soil carbon stock in the Urucu river basin, Central Amazon-Brazil.

机构信息

Department of Soil, Institute of Agronomy, Universidade Federal Rural do Rio de Janeiro (UFRRJ), Seropédica, RJ 23890-000, Brazil.

Colégio Técnico da UFRRJ, RJ, Seropédica 23890-000, Brazil.

出版信息

Sci Total Environ. 2015 Sep 1;526:58-69. doi: 10.1016/j.scitotenv.2015.03.121. Epub 2015 Apr 26.

Abstract

The Amazon Forest plays a major role in C sequestration and release. However, few regional estimates of soil organic carbon (SOC) stock in this ecoregion exist. One of the barriers to improve SOC estimates is the lack of recent soil data at high spatial resolution, which hampers the application of new methods for mapping SOC stock. The aims of this work were: (i) to quantify SOC stock under undisturbed vegetation for the 0-30 and the 0-100 cm under Amazon Forest; (ii) to correlate the SOC stock with soil mapping units and relief attributes and (iii) to evaluate three geostatistical techniques to generate maps of SOC stock (ordinary, isotopic and heterotopic cokriging). The study site is located in the Central region of Amazon State, Brazil. The soil survey covered the study site that has an area of 80 km(2) and resulted in a 1:10,000 soil map. It consisted of 315 field observations (96 complete soil profiles and 219 boreholes). SOC stock was calculated by summing C stocks by horizon, determined as a product of BD, SOC and the horizon thickness. For each one of the 315 soil observations, relief attributes were derived from a topographic map to understand SOC dynamics. The SOC stocks across 30 and 100 cm soil depth were 3.28 and 7.32 kg C m(-2), respectively, which is, 34 and 16%, lower than other studies. The SOC stock is higher in soils developed in relief forms exhibiting well-drained soils, which are covered by Upland Dense Tropical Rainforest. Only SOC stock in the upper 100 cm exhibited spatial dependence allowing the generation of spatial variability maps based on spatial (co)-regionalization. The CTI was inversely correlated with SOC stock and was the only auxiliary variable feasible to be used in cokriging interpolation. The heterotopic cokriging presented the best performance for mapping SOC stock.

摘要

亚马逊森林在碳封存和释放中起着重要作用。然而,该生态区的土壤有机碳(SOC)储量的区域估计很少。提高 SOC 估计的一个障碍是缺乏最近的高空间分辨率土壤数据,这阻碍了 SOC 储量图的新方法的应用。这项工作的目的是:(i)量化亚马逊森林下未受干扰植被下 0-30 和 0-100cm 处的 SOC 储量;(ii)将 SOC 储量与土壤制图单元和地形属性相关联;(iii)评估三种地统计学技术(普通克立格、同位素克立格和异位克立格)来生成 SOC 储量图。研究地点位于巴西亚马逊州中部地区。土壤调查覆盖了研究地点,面积为 80km²,生成了 1:10000 的土壤图。它由 315 个野外观测(96 个完整土壤剖面和 219 个钻孔)组成。SOC 储量是通过对每个土层的 C 储量求和计算得出的,该储量是 BD、SOC 和土层厚度的乘积。对于 315 个土壤观测中的每一个,都从地形图中推导出地形属性,以了解 SOC 动态。30 和 100cm 土壤深度的 SOC 储量分别为 3.28 和 7.32kgC/m²,分别比其他研究低 34%和 16%。在排水良好的土壤发育的地形形式下,SOC 储量更高,这些土壤覆盖着旱地茂密热带雨林。只有在 100cm 以上的土层中 SOC 储量具有空间相关性,允许根据空间(协)区域化生成空间变异性图。CTI 与 SOC 储量呈负相关,是克立格插值中唯一可行的辅助变量。异位克立格在 SOC 储量制图方面表现最佳。

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