Camila Elias, Elisabete A. De Nadai Fernandes
Epiphytes are efficient indicators of atmospheric pollution because of their direct uptake of chemical elements from atmosphere. Leaves from eleven species of bromeliads and one species of orchid were collected in the Parque Estadual Carlos Botelho, SP, for determination of sixteen chemical elements. The selection of the best biomonitor species was based on the diversity and accumulation of chemical elements in the leaves. With an average accumulation index of 0.7, Canistropsis billbergioides has potential to be used as a biomonitor of chemical elements in the Atlantic Forest.
@article{fb642c30-2976-4e35-9dd2-3a65723cc852,
title={Seleção de epífitas acumuladoras de elementos químicos na Mata Atlântica},
author={Camila Elias and Elisabete A. De Nadai Fernandes},
year={2006},
language={pt}
}TY - JOUR TI - Seleção de epífitas acumuladoras de elementos químicos na Mata Atlântica AU - Camila Elias AU - Elisabete A. De Nadai Fernandes PY - 2006 LA - pt ER -
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t