2016
DOI: 10.1080/15226514.2016.1216080
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Multiple metrics quantify and differentiate responses of vegetation to composition B

Abstract: Quantifying vegetation response to explosive compounds has focused predominantly on morphological impacts and uptake efficiency. A more comprehensive understanding of the total impacts of explosives on vegetation can be gained using a multivariate approach. We hypothesized that multiple variables representing morphological and physiological responses will more clearly differentiate species and treatments than any single variable. Individuals of three plant species were placed in soils contaminated with Composi… Show more

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Cited by 4 publications
(2 citation statements)
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“…TNT plots showed a novel shift in functional dominance, via CWM values, with the significant increase in C 4 plant presence. This dominance of C 4 species in TNT plots is particularly interesting as TNT induces significant impacts to photosynthetic mechanisms yet C 4 species appear to be more tolerant overall to presence of explosive compounds, and may have led to this shift [69].…”
Section: Discussionmentioning
confidence: 98%
“…TNT plots showed a novel shift in functional dominance, via CWM values, with the significant increase in C 4 plant presence. This dominance of C 4 species in TNT plots is particularly interesting as TNT induces significant impacts to photosynthetic mechanisms yet C 4 species appear to be more tolerant overall to presence of explosive compounds, and may have led to this shift [69].…”
Section: Discussionmentioning
confidence: 98%
“…Novel studies have quantified the response to explosives of plant species native to military ranges in temperate regions. By measuring multiple variables representing morphological and physiological responses, such studies identified vegetation responses that could potentially be used to determine levels of TNT and RDX contamination (Ali et al 2014;Via and Zinnert 2016;Via et al 2017Via et al , 2015. Hyperspectral imaging technologies are also being developed to remotely detect vegetation response (Naumann et al 2010) using aerial drones as suitable carriers to record contamination levels on surfaceinaccessible sites.…”
Section: Site Monitoringmentioning
confidence: 99%