Aguiar Domingos, Menezes Rômulo Simões Cezar, Antonino Antonio Celso Dantas, Stosic Tatijana, Tarquis Ana M, Stosic Borko
Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos, Recife 52171-900, PE, Brazil.
Departamento de Energia Nuclear, Universidade Federal de Pernambuco, Av. Prof. Moraes Rego 1235, Cidade Universitária, Recife 50670-901, PE, Brazil.
Entropy (Basel). 2023 Oct 19;25(10):1465. doi: 10.3390/e25101465.
The conversion of native forest into agricultural land, which is common in many parts of the world, poses important questions regarding soil degradation, demanding further efforts to better understand the effect of land use change on soil functions. With the advent of 3D computed tomography techniques and computing power, new methods are becoming available to address this question. In this direction, in the current work we implement a modification of the Fisher-Shannon method, borrowed from information theory, to quantify the complexity of twelve 3D CT soil samples from a sugarcane plantation and twelve samples from a nearby native Atlantic forest in northeastern Brazil. The distinction found between the samples from the sugar plantation and the Atlantic forest site is quite pronounced. The results at the level of 91.7% accuracy were obtained considering the complexity in the Fisher-Shannon plane. Atlantic forest samples are found to be generally more complex than those from the sugar plantation.
将原生森林转变为农业用地的现象在世界许多地区都很常见，这引发了有关土壤退化的重要问题，需要进一步努力以更好地理解土地利用变化对土壤功能的影响。随着三维计算机断层扫描技术和计算能力的出现，解决这一问题的新方法不断涌现。在此方向上，在当前的工作中，我们采用了源自信息论的Fisher-Shannon方法的一种改进形式，来量化巴西东北部一个甘蔗种植园的12个三维CT土壤样本以及附近一片原生大西洋森林的12个样本的复杂性。甘蔗种植园样本和大西洋森林样本之间的差异十分显著。考虑到Fisher-Shannon平面中的复杂性，准确率达到了91.7%。结果发现，大西洋森林的样本总体上比甘蔗种植园的样本更为复杂。
