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Laboratory versus field soil aging: Impacts on cadmium distribution, release, and bioavailability
Quan-Ying Wang1, Jing-Yue Sun2, Hong-Wen Yu1
1Key Laboratory of Wet Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
The Science of the Total Environment
|March 20, 2021
Summary
Field aging of cadmium (Cd) in soil leads to higher bioavailability and plant uptake than laboratory aging. This highlights the limitations of lab studies for predicting real-world soil metal behavior and risks.
Area of Science:
- Environmental Science
- Soil Science
- Geochemistry
Background:
- Most soil metal aging studies rely on controlled laboratory experiments.
- Limited research exists on how aging influences metal distribution and bioavailability under field conditions.
- Understanding metal aging in situ is crucial for accurate environmental risk assessment.
Purpose of the Study:
- To compare cadmium (Cd) aging in soil under controlled laboratory versus field conditions.
- To monitor time-dependent changes in soil Cd speciation, release kinetics, and plant bioavailability over 438 days.
Main Methods:
- Conducted parallel 438-day aging experiments for cadmium in soil under laboratory and field conditions.
- Monitored changes in soil Cd speciation (fractionation).
- Assessed Cd release kinetics using the Elovich equation and plant bioavailability through vegetable uptake.
Main Results:
- Aging decreased weakly bound Cd fractions, increasing stable fractions in both settings.
- Field-aged soil showed higher available Cd (0.74 mg kg⁻¹) than lab-aged soil (0.65 mg kg⁻¹).
- Field-aged soil exhibited greater Cd release (2.74 mg kg⁻¹) and higher vegetable Cd accumulation (1.49 mg kg⁻¹ FW) than lab-aged soil.
Conclusions:
- Field aging significantly increases soil cadmium bioavailability and plant uptake compared to laboratory aging.
- The Elovich equation effectively models soil available Cd aging, with a slower transformation rate in field conditions.
- Laboratory data may overestimate or underestimate soil metal bioavailability and distribution, impacting soil quality criteria development.
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