Heavy-Metal Losses from an Agroforestry Catchment

Long-term agricultural sustainability and water quality are impacted by different chemicals, including heavy metals. Heavy-metal losses at the catchment scale depend largely on land-management practices. Water-quality indicators are required near soil-quality indicators for different regions and far...

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Bibliographic Details
Published in:Communications in soil science and plant analysis 2006-06, Vol.37 (15-20), p.2745-2750
Main Authors: Sande Fouz, P, Vidal Vazquez, E, Paz Gonzalez, A
Format: Article
Language:English
Subjects:
agroforestry
agroforestry catchment
Agronomy. Soil science and plant productions
animal manures
Biological and medical sciences
copper
farming systems
Fundamental and applied biological sciences. Psychology
heavy metals
iron
magnesium
quantitative analysis
sampling
Soil and water pollution
soil pollution
Soil science
soluble contents
spectroscopy
sustainable agriculture
water pollution
Water quality
watersheds
zinc
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Summary:Long-term agricultural sustainability and water quality are impacted by different chemicals, including heavy metals. Heavy-metal losses at the catchment scale depend largely on land-management practices. Water-quality indicators are required near soil-quality indicators for different regions and farming systems. The purpose of this work is to analyze the heavy-metal losses from a mixed agroforestry catchment. Iron (Fe), Magnesium (Mn), Zinc (Zn), and Copper (Cu) were measured in the drainage water of a 36.3 km2 catchment located at the Valinas River (Coruna, northwest Spain), and a total of 193 samples were collected during the course of 2003. The sampling strategy was a stratified point sampling involving more frequent sampling when flow was high. Water metal content was analyzed by inductively coupled plasma (ICP-AES). The content ranges of dissolved heavy metals were as follows: Fe between 10 and 267 microgram/L, Mn 0.2 and 77 microgram/L, Zn 0.62 and 53.7 microgram/L, and Cu 0.20 and 9.26 microgram/L. Heavy metal content strongly varied along the study time, depending on storm flow but also on timing of animal-waste applications.
ISSN:0010-3624
1532-2416
DOI:10.1080/00103620600830237