全球和分区建模策略的比较--中国新疆阿勒泰地区土壤有机质和碳氮比绘图案例研究

IF 5.8 2区环境科学与生态学 Q1 ECOLOGY

Ecological Informatics Pub Date : 2024-11-17 DOI:10.1016/j.ecoinf.2024.102882

Hongwu Liang , Guli Japaer , Tao Yu , Liancheng Zhang , Bojian Chen , Kaixiong Lin , Tongwei Ju , Yongyu Zhao , Ting Pei , Yimuranzi Aizizi

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引用次数: 0

摘要

基于遥感技术的数字土壤制图（DSM）是土壤监测的主要方法。目前，大多数土壤制图研究都采用全球建模策略（GMS）。在全球建模策略中，假定土壤与景观之间的关系在整个区域都是相同的。然而，在不同的地理区域，如不同的土地覆被类型，土壤与景观的关系是不同的。在分区建模策略（ZMS）中，根据分区规则将一个区域划分为多个地理分区，并对每个地理分区进行单独建模，以全面反映不同分区内的土壤-景观关系。本研究在中国新疆阿勒泰地区进行。在 GMS 和 ZMS 的基础上绘制了土壤有机质（SOM）含量和 C:N 比值图，以比较两种策略的性能差异。ZMS 测绘结果在不同土地覆被类型中表现出更好的空间异质性。此外，与包含更多异常值的 GMS 结果相比，ZMS 绘图结果显示出更低的不确定性，更接近观测值。总体而言，我们推荐使用 ZMS。精度验证结果表明，在某些区域，区域监测系统的精度并不一定高于全球监测系统，但总体精度相似。合并相似区域进行建模可以提高 ZMS 的精度，从而超过 GMS。此外，还分析了合成孔径雷达（SAR）数据的重要性。结果表明，合成孔径雷达数据对于绘制裸地和耕地的 SOM 以及裸地和森林的 C:N 比率图非常重要。合成孔径雷达数据可通过湿度间接提供土壤养分信息；因此，我们认为合成孔径雷达数据在绘制土壤养分图方面具有巨大潜力。

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Comparison of global and zonal modeling strategies - A case study of soil organic matter and C:N ratio mapping in Altay, Xinjiang, China

Digital soil mapping (DSM) based on remote sensing is the dominant method for soil monitoring. Currently, the global modeling strategy (GMS) is used in most soil mapping studies. In the GMS, it is assumed that the relationship between soil and the landscape is the same throughout a region. However, the soil–landscape relationship varies in different geographic zones, such as among different land cover types. In the zonal modeling strategy (ZMS), a region is divided into multiple geographic zones on the basis of zoning rules, and each geographic zone is modeled individually, to fully capture the soil–landscape relationships within different zones. This study was conducted in Altay, Xinjiang, China. The soil organic matter (SOM) content and C:N ratio were mapped on the basis of the GMS and the ZMS to compare the performance differences between the two strategies. The ZMS mapping results exhibited better spatial heterogeneity across different land cover types. Moreover, the ZMS mapping results displayed lower uncertainty and were closer to the observed values than were the GMS results, which included more outliers. Overall, we recommend the ZMS. The accuracy validation results indicated that the accuracy of the ZMS is not necessarily higher than that of the GMS in some zones, but the overall accuracy is similar. Combining similar zones for modeling can improve the accuracy of the ZMS, surpassing that of the GMS. Moreover, the importance of synthetic aperture radar (SAR) data was analyzed. The results revealed that SAR data are highly important for mapping the SOM of bare land and cropland and the C:N ratio of bare land and forest. SAR data may provide soil nutrient information indirectly from moisture levels; therefore, we believe that SAR data have great potential for soil nutrient mapping.

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.