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Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS)
Dahdouh-Guebas, F.; Van Hiel, E.; Cheung-Wai Chan, J.; Jayatissa, L.P.; Koedam, N. (2005). Qualitative distinction of congeneric and introgressive mangrove species in mixed patchy forest assemblages using high spatial resolution remotely sensed imagery (IKONOS). Syst. Biodiv. 2(2): 113-119. dx.doi.org/10.1017/S1477200004001422
In: Systematics and Biodiversity. Cambridge University Press: Cambridge. ISSN 1477-2000; e-ISSN 1478-0933, meer
Peer reviewed article  
Beschikbaar in  Auteurs 
Trefwoorden
    Disciplines > Biology > Genetics > Population genetics > Genetic equilibrium > Introgression
    Mangroves
    Remote sensing
    Resolution
    Sri Lanka
    Acrostichum L. [WoRMS]; Rhizophora L. [WoRMS]
    Sri Lanka [Marine Regions]
    Marien/Kust
Author keywords
    mangrove; remote sensing; resolution; introgression; IKONOS; Acrostichum; Rhizophora; Sri Lanka
Auteurs  Top 
  • Dahdouh-Guebas, F., meer
  • Van Hiel, E., meer
  • Cheung-Wai Chan, J., meer
  • Jayatissa, L.P., meer
  • Koedam, N., meer
Abstract
    This paper is a preliminary report of the ability of IKONOS multispectral satellite imagery with a very high spatial resolution of 1 metre to distinguish two mangrove species in Sri Lanka belonging to the same genus (Rhizophora apiculata and R. mucronata). Not only is this an advancement for the monitoring of forests, it is even more important considering their patchy nature in Sri Lankan mangroves (in contrast to classically zoned forests). Apart from congeneric distinction, introgressive species (Acrostichum aureum) can also be detected from IKONOS imagery, which is important in the early warning for cryptic ecological changes that may affect mangrove species composition (both floral and faunal) and functioning. The results tabulate the usage of various image composites, transformations and classifications, and indicate the danger of too much detail in remote sensing, and the need to apply an optimum resolution. We also highlight that the highest resolutions (as in pansharpened multispectral composites) remain invaluable for visual ecological investigations, which are not at all outdated by new digital satellite images of (sub)metre spatial resolution and their possibility for computer-aided analysis.
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