Quantifying Tropical Plant Diversity Requires an Integrated Technological Approach.

Journal: Trends in ecology & evolution
Published Date:

Abstract

Tropical biomes are the most diverse plant communities on Earth, and quantifying this diversity at large spatial scales is vital for many purposes. As macroecological approaches proliferate, the taxonomic uncertainties in species occurrence data are easily neglected and can lead to spurious findings in downstream analyses. Here, we argue that technological approaches offer potential solutions, but there is no single silver bullet to resolve uncertainty in plant biodiversity quantification. Instead, we propose the use of artificial intelligence (AI) approaches to build a data-driven framework that integrates several data sources - including spectroscopy, DNA sequences, image recognition, and morphological data. Such a framework would provide a foundation for improving species identification in macroecological analyses while simultaneously improving the taxonomic process of species delimitation.

Authors

  • Frederick C Draper
    Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, USA; School of Geography, University of Leeds, Leeds, UK. Electronic address: freddie.draper@gmail.com.
  • Timothy R Baker
    School of Geography, University of Leeds, Leeds, UK.
  • Christopher Baraloto
    Institute of Environment, Department of Biological Sciences, Florida International University, Miami, FL, USA.
  • Jerome Chave
    Laboratoire Evolution et Diversité Biologique (EDB) CNRS/UPS, Toulouse, France.
  • Flavia Costa
    Instituto Nacional de Pesquisas da Amazônia - INPA, Manaus, Brazil.
  • Roberta E Martin
    Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, USA.
  • R Toby Pennington
    Department of Geography, University of Exeter, Exeter, UK; Royal Botanic Garden, Edinburgh, UK.
  • Alberto Vicentini
    Instituto Nacional de Pesquisas da Amazônia - INPA, Manaus, Brazil.
  • Gregory P Asner
    Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ 85281, USA; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305, USA. Electronic address: https://twitter.com/greg_asner.