Article ; Online: Assessing the quality of constructed technosols enabled holistic monitoring of ecological restoration.
Journal of environmental management
2024 Volume 353, Page(s) 120237
Abstract: The soil quality index (SQI) serves as a general ecological restoration indicator, however, statistics approaches that accurately assess the minimum data set (MDS) for SQI remain susceptible. The present study aims to evaluate the short-term reclamation ... ...
| Abstract | The soil quality index (SQI) serves as a general ecological restoration indicator, however, statistics approaches that accurately assess the minimum data set (MDS) for SQI remain susceptible. The present study aims to evaluate the short-term reclamation results at the Ferro-Carvão stream and propose a system for ecological restoration monitoring, by selecting influential attributes and indexing soil quality. We hypothesized that the reclamation activities at the Ferro-Carvão stream, referred to as the "Marco zero" (MZ) area, can bring its soil quality to levels comparable to those of the native area. We collected soil samples at 0-20 and 20-40 cm depths from transects of MZ and reference sites (R1 and R2). Principal component analysis showed the MDS for each soil depth. Permutational analysis of variance, in conjunction with Nonmetric Multidimensional Scaling, exposed relationships between transects of areas. An additive non-linear factorial algorithm allowed SQI assessment. The results indicated a similar soil quality between transects of areas at 0-20 cm depth, whereas a dissimilarity at 20-40 cm. To sum up, reclamation activities allowed MZ-constructed Technosol to present a soil quality similar to native areas. The soil quality assessment at both depths offered insights into reclamation activities' immediate and long-term impacts on the Ferro-Carvão stream. This robust framework effectively monitors ecological restoration progress and guides future efforts in post-mining and post-dam collapse sites. |
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| MeSH term(s) | Soil ; Mining ; Principal Component Analysis ; Algorithms ; Ecosystem | |||||
| Chemical Substances | Soil | |||||
| Language | English | |||||
| Publishing date | 2024-02-03 | |||||
| Publishing country | England | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 184882-3 | |||||
| ISSN | 1095-8630 ; 0301-4797 | |||||
| ISSN (online) | 1095-8630 | |||||
| ISSN | 0301-4797 | |||||
| DOI | 10.1016/j.jenvman.2024.120237 | |||||
| Shelf mark |
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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