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Bioindication of agroecosystem pollution: integrating biochemical analyses with proximal and remote sensing technologies

Edited by:
Marco De Mizio: Italian Aerospace Research Centre (CIRA), Italy

Submission Status: Open   |   Submission Deadline: 31 May 2024

Chemical and Biological Technologies in Agriculture is calling for submissions to our Collection on Bioindication of agroecosystem pollution: integrating biochemical analyses with proximal and remote sensing technologies.

New Content ItemThis collection supports and amplifies research related to SDG 15: Life on Land

Meet the Guest Editors

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Marco De Mizio: Italian Aerospace Research Centre (CIRA), Italy

Marco De Mizio graduated in Computer Science at the University of Salerno, Italy. He has been a CIRA (Italian Aerospace Research Centre) researcher since 1994 and he is currently the head of the “Earth Observation Applications Unit”.

He also holds the position of technical coordinator of the STOPP project (Proximity and Persistence Earth Observation Tools and Techniques), an experimental project financed by the Italian Space Agency (ASI), that has the aim of developing new remote sensing technologies using also stratosphere aerospace platforms, to monitor bio-indicators in order to detect environmental criticalities.

At present, he coordinates with the role of Project Manager the Bioscience project included in the PRO.R.A (National Aerospace Research Program). The objectives of the project are the development of remote and proximal sensing technologies for the observation of vegetation, environmental monitoring based on bio-indicators and the design and realization of an experimental infrastructure facility for the study of vegetation.

About the collection

Chemical and Biological Technologies in Agriculture is calling for submissions to our Collection on Bioindication of agroecosystem pollution: integrating biochemical analyses with proximal and remote sensing technologies.

 Environmental contamination is a relevant problem on a global and local scale. The increasing social concern about environmental quality is driven by compelling evidence that the emission of harmful substances negatively impacts on natural ecosystems, human health, and agricultural productivity. The pollutants released by anthropogenic activities, such as trace elements, hydrocarbons and heavy metals, can be found in the whole biosphere transported by air, water and living organisms. These toxic chemicals become part of the natural biogeochemical cycle and accumulate in the food chain. They also affect humans, causing (directly or indirectly) various poisonings, toxicoses, and even neoplastic diseases. However, when the consequences of environmental pollution become visible, it is often too late to prevent them, hence investigations have recently focused on searching for bioindicators (both plant and animal organisms) that could signal the contamination of ecosystems by toxic substances. 

The term bioindicator usually refers to any organism or biological system used to evaluate a change - generally degenerative - in the environmental quality at any level of organization and utilization. Depending on the case, a bioindicator can be a community, a group of species with similar behavior (ecological group), a particularly sensitive species (indicator species) or a portion of an organism (such as organs, tissues, or even cells). Important parameters for an effective bioindicator include proven sensitivity towards the toxic substance being investigated, manifestation of visible and specific symptoms, widespread distribution in the survey area, limited mobility and a sufficiently long-life cycle.

Plant organisms own all these characteristics, thus representing real natural "sensors". Phytoindicators can be employed both in environmental quality analysis and environmental pollution assessment, as they allow to determine the rate, level and extent of current and future man-induced changes in natural ecosystems.

However, traditional biomonitoring methods for environmental issues suffer from several problematics. High costs often restrict the scale of coverage, especially in systems that rely on manual sampling. Additionally, traditional biomonitoring approaches tend to be specific to particular systems and stressors, lacking generality. Therefore, there is a growing interest in alternative techniques that can provide a large number of observations in a short period. In this context, proximal and remote sensing technologies have emerged as promising solutions for effective monitoring of phytoindicators in assessing environmental pollution. Proximal and remote sensing technologies represent a valid tool to complement the traditional in situ approach, and can be strategically combined with biochemical analysis to monitor the vulnerability of agricultural sites and anticipate environmental violations.

For these reasons, a multidisciplinary approach to bioindication and the strengthening of collaboration between the various scientific communities are considered useful in order to develop innovative and efficient technologies in the biomonitoring of environmental pollution. The overall objective of this series is to bring together studies that delve into the intricate connections between pollutants and their environmental effects, with an emphasis on exploring innovative techniques and approaches. 

This thematic series aims to consolidate research on various aspects of bioindication for environmental pollution, involving different scientific domains. Topics of interest for this Special Issue include but are not limited to the following areas:

  • Fate and transport processes of contaminants from source to soil and water;
  • Impact of toxic substances on ecosystems, human health and agricultural crops;
  • Development of advanced technologies for the identification of pollutants in different environmental matrices;
  • Statistical modelling and machine learning to correlate physiological analysis of phytoindicators and proximal/remote sensing data;
  • Usage of active and passive sensors to bioindication and their synergies;
  • Different bioindicators measured at different spatial scales (phenotyping platforms, drones and air-borne data);
  • Biophysical parameters at different spatial scales;
  • Uncertainty assessment of remote sensing and ground based data.
  1. Apple moldy core is a fungus-infested disease that is extremely insidious, usually occurring inside the fruit, making it very difficult to distinguish from the exterior with the naked eye. Using VIS/NIR transm...

    Authors: Xiaogang Jiang, Kang Ge, Zhi Liu, Nan Chen, Aiguo Ouyang, Yande Liu, Yuyang Huang, Jinghu Li and Mingmao Hu
    Citation: Chemical and Biological Technologies in Agriculture 2024 11:63

Submission Guidelines

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This Collection welcomes submission of Research Articles. 

Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Bioindication of agroecosystem pollution: integrating biochemical analyses with proximal and remote sensing technologies" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.