Literature DB >> 22126662

Image spectroscopy and stable isotopes elucidate functional dissimilarity between native and nonnative plant species in the aquatic environment.

Maria J Santos1, Erin L Hestir1, Shruti Khanna1, Susan L Ustin1.   

Abstract

• Nonnative species may change ecosystem functionality at the expense of native species. Here, we examine the similarity of functional traits of native and nonnative submersed aquatic plants (SAP) in an aquatic ecosystem. • We used field and airborne imaging spectroscopy and isotope ratios of SAP species in the Sacramento-San Joaquin Delta, California (USA) to assess species identification, chlorophyll (Chl) concentration, and differences in photosynthetic efficiency. • Spectral separability between species occurs primarily in the visible and near-infrared spectral regions, which is associated with morphological and physiological differences. Nonnatives had significantly higher Chl, carotene, and anthocyanin concentrations than natives and had significantly higher photochemical reflectance index (PRI) and δ(13) C values. • Results show nonnative SAPs are functionally dissimilar to native SAPs, having wider leaf blades and greater leaf area, dense and evenly distributed vertical canopies, and higher pigment concentrations. Results suggest that nonnatives also use a facultative C(4) -like photosynthetic pathway, allowing efficient photosynthesis in high-light and low-light environments. Differences in plant functionality indicate that nonnative SAPs have a competitive advantage over native SAPs as a result of growth form and greater light-use efficiency that promotes growth under different light conditions, traits affecting system-wide species distributions and community composition.
© 2011 The Authors. New Phytologist © 2011 New Phytologist Trust.

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Year:  2011        PMID: 22126662     DOI: 10.1111/j.1469-8137.2011.03955.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  2 in total

1.  Comparing the Potential of Multispectral and Hyperspectral Data for Monitoring Oil Spill Impact.

Authors:  Shruti Khanna; Maria J Santos; Susan L Ustin; Kristen Shapiro; Paul J Haverkamp; Mui Lay
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

2.  Retrieving nitrogen isotopic signatures from fresh leaf reflectance spectra: disentangling δ(15)N from biochemical and structural leaf properties.

Authors:  Christine Hellmann; André Große-Stoltenberg; Verena Lauströ; Jens Oldeland; Christiane Werner
Journal:  Front Plant Sci       Date:  2015-05-01       Impact factor: 6.627

  2 in total

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