Tree-mycorrhizal associations detected remotely from canopy spectral properties

Joshua B. Fisher, Sean Sweeney, Edward R. Brzostek, Tom P. Evans, Daniel J. Johnson, Jonathan A. Myers, Norman A. Bourg, Amy T. Wolf, Robert W. Howe, Richard P. Phillips

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

A central challenge in global ecology is the identification of key functional processes in ecosystems that scale, but do not require, data for individual species across landscapes. Given that nearly all tree species form symbiotic relationships with one of two types of mycorrhizal fungi - arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi - and that AM- and ECM-dominated forests often have distinct nutrient economies, the detection and mapping of mycorrhizae over large areas could provide valuable insights about fundamental ecosystem processes such as nutrient cycling, species interactions, and overall forest productivity. We explored remotely sensed tree canopy spectral properties to detect underlying mycorrhizal association across a gradient of AM- and ECM-dominated forest plots. Statistical mining of reflectance and reflectance derivatives across moderate/high-resolution Landsat data revealed distinctly unique phenological signals that differentiated AM and ECM associations. This approach was trained and validated against measurements of tree species and mycorrhizal association across ~130 000 trees throughout the temperate United States. We were able to predict 77% of the variation in mycorrhizal association distribution within the forest plots (P < 0.001). The implications for this work move us toward mapping mycorrhizal association globally and advancing our understanding of biogeochemical cycling and other ecosystem processes.

Original languageEnglish (US)
Pages (from-to)2596-2607
Number of pages12
JournalGlobal change biology
Volume22
Issue number7
DOIs
StatePublished - Jul 1 2016
Externally publishedYes

Fingerprint

Ecosystems
canopy
Fungi
Nutrients
ecosystem
reflectance
fungus
Ecology
mycorrhiza
nutrient cycling
Productivity
Landsat
Derivatives
ecology
productivity
nutrient

Keywords

  • canopy
  • landscape
  • mycorrhizae
  • nutrients
  • remote sensing
  • species
  • spectral

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Ecology
  • Environmental Science(all)

Cite this

Fisher, J. B., Sweeney, S., Brzostek, E. R., Evans, T. P., Johnson, D. J., Myers, J. A., ... Phillips, R. P. (2016). Tree-mycorrhizal associations detected remotely from canopy spectral properties. Global change biology, 22(7), 2596-2607. https://doi.org/10.1111/gcb.13264

Tree-mycorrhizal associations detected remotely from canopy spectral properties. / Fisher, Joshua B.; Sweeney, Sean; Brzostek, Edward R.; Evans, Tom P.; Johnson, Daniel J.; Myers, Jonathan A.; Bourg, Norman A.; Wolf, Amy T.; Howe, Robert W.; Phillips, Richard P.

In: Global change biology, Vol. 22, No. 7, 01.07.2016, p. 2596-2607.

Research output: Contribution to journalArticle

Fisher, JB, Sweeney, S, Brzostek, ER, Evans, TP, Johnson, DJ, Myers, JA, Bourg, NA, Wolf, AT, Howe, RW & Phillips, RP 2016, 'Tree-mycorrhizal associations detected remotely from canopy spectral properties', Global change biology, vol. 22, no. 7, pp. 2596-2607. https://doi.org/10.1111/gcb.13264
Fisher, Joshua B. ; Sweeney, Sean ; Brzostek, Edward R. ; Evans, Tom P. ; Johnson, Daniel J. ; Myers, Jonathan A. ; Bourg, Norman A. ; Wolf, Amy T. ; Howe, Robert W. ; Phillips, Richard P. / Tree-mycorrhizal associations detected remotely from canopy spectral properties. In: Global change biology. 2016 ; Vol. 22, No. 7. pp. 2596-2607.
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