Assessment Toxicity of Soils from Areas with Mining Activity Through the Stability of the Lysosomal Membrane and Avoidance Behavior in the Earthworm Eisenia fetida

Vivas, Francisca; Balladares, Sebastián; Lobos, María Gabriela; Gaete, Hernán

doi:10.1007/s00128-022-03662-9

Cited by 1 publication

(1 citation statement)

References 30 publications

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“…Of the 74 studies, 26 studies focused on contamination assessments, for example, through the assessment of environmental matrices either biomonitoring such as leaves or tree rings (Gorena et al, 2020; Munoz et al, 2019; Tume et al, 2020). Another 16 studies assessed the biological or ecological impacts of the contaminations, including mainly plants and earthworms (e.g., Mondaca et al, 2017; Vivas et al, 2022), while five studies assessed the human health risks (e.g., Berasaluce et al, 2019). On the other hand, 16 studies focused on remediation alternatives for degraded landscapes (e.g., Pardo et al, 2018) or agricultural uses (Carvajal et al, 2023; Mondaca et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

From risk assessment to land planning. The case of a trace element‐contaminated area in Chile

Mondaca,

Berasaluce,

Larraguibel‐González

et al. 2024

Land Degrad Dev

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While abundant scientific literature focuses on diagnosing contaminated areas, solutions with a scientific base are far from balanced. This is the case of the Quintero‐Puchuncaví Bay, a widely known contaminated area in the central coast of Chile. Here, arsenic in soils surrounding the industrial complex has been reported as a threat to human health. However, land planning based on As contamination becomes a challenge since the whole area is identified as contaminated. Such a lack of land‐planning constrains the occupation and remediation of contaminated soil leading to a brownfield‐like landscape. To face this challenge, we proposed using a geospatial decision support system (S‐DSS) to integrate the contamination assessment, health and ecosystem risks, and potential land uses. When characterizing soil arsenic concentration thresholds for different land uses in a S‐DSS, we could categorize the land in suitable, caution, and unsuitable areas (based on human health risks). This way, we unravel areas with potential use in the current condition while also discerning caution and unsuitable categories, that can undergo extensive and intensive remediation techniques. Similarly, we took a conservational approach to estimate emerging risk from the industrial complex associated to explosions. Altogether, it highlights the potential of S‐DSS to integrate different geographic information. We finally feature two APPs regarding current land‐use suitability and a modeled one considering future arsenic emissions.

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