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Integrating remote sensing with ecology and evolution to advance biodiversity conservation

  • Jeannine Cavender-Bares
  • , Fabian D. Schneider
  • , Maria João Santos
  • , Amanda Armstrong
  • , Ana Carnaval
  • , Kyla M. Dahlin
  • , Lola Fatoyinbo
  • , George C. Hurtt
  • , David Schimel
  • , Philip A. Townsend
  • , Susan L. Ustin
  • , Zhihui Wang
  • , Adam M. Wilson
  • University of Minnesota Twin Cities
  • Jet Propulsion Laboratory, California Institute of Technology
  • University of Zurich
  • NASA Goddard Space Flight Center
  • City University of New York
  • Michigan State University
  • University of Maryland, College Park
  • University of Wisconsin-Madison
  • University of California at Davis
  • Guangdong Academy of Sciences

Research output: Contribution to journalArticlepeer-review

295 Scopus citations

Abstract

Remote sensing has transformed the monitoring of life on Earth by revealing spatial and temporal dimensions of biological diversity through structural, compositional and functional measurements of ecosystems. Yet, many aspects of Earth’s biodiversity are not directly quantified by reflected or emitted photons. Inclusive integration of remote sensing with field-based ecology and evolution is needed to fully understand and preserve Earth’s biodiversity. In this Perspective, we argue that multiple data types are necessary for almost all draft targets set by the Convention on Biological Diversity. We examine five key topics in biodiversity science that can be advanced by integrating remote sensing with in situ data collection from field sampling, experiments and laboratory studies to benefit conservation. Lowering the barriers for bringing these approaches together will require global-scale collaboration.

Original languageEnglish
Pages (from-to)506-519
Number of pages14
JournalNature Ecology and Evolution
Volume6
Issue number5
DOIs
StatePublished - May 2022

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