Faculdade UnB Planaltina, Universidade de Brasília, CEP: 73345-010, DF, Planaltina, Brazil.
Departamento de Geociências, Universidade Estadual de Montes Claros, CEP: 39401-089, Montes Claros, MG, Brazil.
J Environ Manage. 2021 Dec 15;300:113758. doi: 10.1016/j.jenvman.2021.113758. Epub 2021 Sep 16.
Stable carbon isotope ratios (δC) of soil record information regarding C and C plants at the landscape scale that can be used to document vegetation distribution patterns. The Central Brazilian savanna (locally called the Cerrado) has a substantial potential to develop studies of patterns of dynamics and distribution of soil δC, due to its environmental diversity. The purpose of this work was to develop a spatial model of soil δC (soil δC isoscape) to the Cerrado, based on multiple linear regression analysis, and compare the results with the existing model to obtain greater detail of the soil δC distribution. The model used 219 soil samples (0-20 cm depth) and a set of climatic, pedological, topographic, and vegetation correlations. The soil δC isoscape model presented amplitude between -29‰ and -13‰, with the highest estimated values in the southern and the lowest values in the northern of the Cerrado. Results indicate that soil δC, by reflecting the relative contribution of C and C species to plant community productivity, served as a proxy indicator of the vegetation history at the landscape scale for the Central Brazilian savanna. Despite the large sampling effort, there are still regions with some gaps that the model could not estimate. However, the soil δC isoscape model filled most the existing gaps and provided greater detail of some unique local aspects of the Cerrado.
土壤稳定碳同位素比值（δC）记录了景观尺度上 C 和 C 植物的信息，可用于记录植被分布模式。由于其环境多样性，巴西中部稀树草原（当地称为塞拉多）具有很大的潜力来开展土壤 δC 动态和分布模式的研究。本研究的目的是基于多元线性回归分析，为塞拉多开发土壤 δC（土壤 δC 同位景观）的空间模型，并将结果与现有模型进行比较，以更详细地了解土壤 δC 的分布。该模型使用了 219 个土壤样本（0-20 厘米深度）和一套气候、土壤、地形和植被相关数据。土壤 δC 同位景观模型的幅度在-29‰到-13‰之间，在塞拉多的南部估计值最高，北部最低。结果表明，土壤 δC 通过反映 C 和 C 物种对植物群落生产力的相对贡献，成为反映巴西中部稀树草原景观尺度植被历史的替代指标。尽管进行了大量的采样，但模型仍然无法估计某些区域的情况。然而，土壤 δC 同位景观模型填补了大部分现有空白，并更详细地描述了塞拉多的一些独特的局部特征。
