Literature DB >> 15908087

Reflectance properties and physiological responses of Salicornia virginica to heavy metal and petroleum contamination.

Pablo H Rosso1, James C Pushnik, Mui Lay, Susan L Ustin.   

Abstract

Wetland ecosystems of California are located in highly populated areas and subject to high levels of contamination. Monitoring of wetlands to assess degrees of pollution damage requires periodic retrieval of information over large areas, which can be effectively accomplished by rapidly evolving remote sensing technologies. The biophysical principles of remote sensing of vegetation under stress need to be understood in order to correctly interpret the information obtained at the scale of canopies. To determine the potential to remotely characterize and monitor pollution, plants of Salicornia virginica, a major component of wetland communities in California, were treated with two metals and two crude oil types to study their sensitivity to pollutants and how this impacted their reflectance characteristics. Several growth and physiological parameters, as well as shoot reflectance were measured and correlated with symptoms and contamination levels. Significant differences between treatments were found in at least some of the measured parameters in all pollutants. Reflectance was sensitive to early stress levels only for cadmium and the lightweight petroleum. Pollutants that differ in their way of action also had different plant reflectance signatures. The high degree of correlation between reflectance features and stress indicators highlights the potential of using remote sensing to assess the type and degree of pollution damage.

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Year:  2005        PMID: 15908087     DOI: 10.1016/j.envpol.2005.02.025

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  17 in total

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Authors:  Lorenzo Cotrozzi; Philip A Townsend; Elisa Pellegrini; Cristina Nali; John J Couture
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-11       Impact factor: 4.223

2.  Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data.

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Journal:  Environ Monit Assess       Date:  2017-11-03       Impact factor: 2.513

3.  Response of Zea mays to multimetal contaminated soils: a multibiomarker approach.

Authors:  Efraín Tovar-Sánchez; Tatiana Cervantes-Ramírez; Javier Castañeda-Bautista; Sandra Gómez-Arroyo; Laura Ortiz-Hernández; Enrique Sánchez-Salinas; Patricia Mussali-Galante
Journal:  Ecotoxicology       Date:  2018-08-17       Impact factor: 2.823

4.  Effects of drought on cadmium accumulation in peanuts grown in a contaminated calcareous soil.

Authors:  Shenglan Xia; Xvming Wang; Genqiang Su; Gangrong Shi
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-22       Impact factor: 4.223

5.  Toxic metal tolerance in native plant species grown in a vanadium mining area.

Authors:  Aikelaimu Aihemaiti; Jianguo Jiang; De'an Li; Tianran Li; Wenjie Zhang; Xutong Ding
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-29       Impact factor: 4.223

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7.  Potential use of grapevine cv Askari for heavy metal phytoremediation purposes at greenhouse scale.

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Journal:  Environ Sci Pollut Res Int       Date:  2020-10-20       Impact factor: 5.190

Review 8.  Salicornia: evaluating the halophytic extremophile as a food and a pharmaceutical candidate.

Authors:  Seema Patel
Journal:  3 Biotech       Date:  2016-04-18       Impact factor: 2.406

9.  Soil TPH concentration estimation using vegetation indices in an oil polluted area of eastern China.

Authors:  Linhai Zhu; Xuechun Zhao; Liming Lai; Jianjian Wang; Lianhe Jiang; Jinzhi Ding; Nanxi Liu; Yunjiang Yu; Junsheng Li; Nengwen Xiao; Yuanrun Zheng; Glyn M Rimmington
Journal:  PLoS One       Date:  2013-01-16       Impact factor: 3.240

10.  Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model.

Authors:  Zhi Huang; Xiangnan Liu; Ming Jin; Chao Ding; Jiale Jiang; Ling Wu
Journal:  Sensors (Basel)       Date:  2016-03-07       Impact factor: 3.576

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