Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/103513
Title: The Recolonization Concentration Concept: Using Avoidance Assays with Soil Organisms to Predict the Recolonization Potential of Contaminated Sites
Authors: Renaud, Mathieu 
Luz, Tiago Natal da 
Ribeiro, Rui 
Sousa, José Paulo 
Keywords: copper; behavior; Eisenia andrei; Folsomia candida
Issue Date: 5-Mar-2022
Publisher: MDPI
Project: Instituto do Ambiente Tecnologia e Vida (IATV) 
UIDB/04004/2020 
Serial title, monograph or event: Toxics
Volume: 10
Issue: 3
Abstract: In this study the recolonization concentration concept for soil organisms is presented and validated. This concept is based on the empirically deduced avoidance-recolonization hypothesis, which shows a negative correlation between avoidance (ACx) and recolonization (RCx) (ACx = RC100-x) responses. The concept was validated in a two-step approach composed by (i) individual placement tests, to demonstrate the non-influence of individual placement in a dual chamber avoidance test and (ii) small scale gradient tests to demonstrate that the number of colonizers reaching a soil patch with a certain concentration is independent on their previous exposure to lower concentrations. Overall, data show that avoidance data can be used, when framed under the recolonization concentration concept, to evaluate the recolonization potential of contaminated sites. The recolonization concept is an important theoretical concept that when coupled with spatial modelling tools could be used to tackle the spatial and temporal recovery dynamics of contaminated soil.
URI: https://hdl.handle.net/10316/103513
ISSN: 2305-6304
DOI: 10.3390/toxics10030127
Rights: openAccess
Appears in Collections:I&D CFE - Artigos em Revistas Internacionais

Show full item record

SCOPUSTM   
Citations

2
checked on Mar 25, 2024

WEB OF SCIENCETM
Citations

2
checked on Mar 2, 2024

Page view(s)

56
checked on Mar 26, 2024

Download(s)

21
checked on Mar 26, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons