Phytoremediation for Improving Agriculture Soil Quality

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Soil and Plant Nutrition".

Deadline for manuscript submissions: closed (30 December 2022) | Viewed by 3891

Special Issue Editors


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Guest Editor
Institute of Environmental Sciences, Jagiellonian University in Krakow, Gronostajowa 7, 30-387 Krakow, Poland
Interests: environmental microbiology; nanofertilizers; endophytes; mycorrhiza; microbial application; microbial interactions

Special Issue Information

Dear Colleagues,

The widespread use of synthetic fertilizers and chemical pesticide inputs in crop production influences soil biodiversity and quality. In addition, global climate changes threaten the stability of crops due to unexpected periods of drought and rainfall during growing seasons.

New methods of remediation of soil conditions have been developed by replenishing the biodiversity of microorganisms and restoring the proper soil microbiota. These methods, however, are still poorly understood, and broad action to disseminate the results is needed concerning innovative ways and mitigation plans on maintaining soil fertility and increasing its resilience against biotic and abiotic stresses.

We invite researchers carrying out the most innovative works in this topic to contribute with empirical data in controlled conditions, in fields, or metanalyses.

Papers dealing with fertilizers (especially slow-releasing fertilizers and nanofertilizers); plant growth-promoting microorganisms (AMF, endophytes, rhizospheric microorganisms); biological protection against pathogens, improvement of soil quality, tolerance to drought, etc.

Prof. Dr. Katarzyna Turnau
Prof. Dr. Mohamed Hijri
Guest Editors

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Keywords

  • soil fertility
  • soil pollution
  • phytoremediation
  • phytomanagement

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Published Papers (1 paper)

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Research

20 pages, 2435 KB  
Article
A Novel Regional-Scale Assessment of Soil Metal Pollution in Arid Agroecosystems
by Ahmed S. Abuzaid, Hossam S. Jahin, Mohamed S Shokr, Ahmed A. El Baroudy, Elsayed Said Mohamed, Nazih Y. Rebouh and Mohamed A. Bassouny
Agronomy 2023, 13(1), 161; https://doi.org/10.3390/agronomy13010161 - 4 Jan 2023
Cited by 22 | Viewed by 3032
Abstract
This work is a novel trial to integrate geostatistics with fuzzy logic under the geographic information system (GIS) environment to model soil pollution. Soil samples from seventy-one soil profiles in the northern Nile Delta, Egypt, and were analyzed for total concentrations of Cd, [...] Read more.
This work is a novel trial to integrate geostatistics with fuzzy logic under the geographic information system (GIS) environment to model soil pollution. Soil samples from seventy-one soil profiles in the northern Nile Delta, Egypt, and were analyzed for total concentrations of Cd, Co, Cu, Pb, Ni, and Zn. Metal distribution maps were generated using ordinary kriging methods. They were normalized by linear and non-linear fuzzy membership functions (FMFs) and overlain by fuzzy operators (And, OR, Sum, Product, and Gamma). The final maps were validated using the area under the curve (AUC) of the receiver operating characteristic (ROC). The best-fitted semivariogram models were Gaussian for Cd, Pb, and Ni, circular for Co and Zn, and exponential for Cu. The ROC and AUC analysis revealed that the non-linear FMFs were more effective than the linear functions for modeling soil pollution. Overall, the highest AUC value (0.866; very good accuracy) resulted from applying the fuzzy Sum overly to the non-linearly normalized layers, implying the superiority of this model for decision-making in the studied area. Accordingly, 92% of the investigated soils were severely polluted. Our study would increase insight into soil metal pollution on a regional scale, especially in arid regions. Full article
(This article belongs to the Special Issue Phytoremediation for Improving Agriculture Soil Quality)
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