Environmental controls on canopy foliar nitrogen distributions in a Neotropical lowland forest

  • Christopher S. Balzotti
  • , Gregory P. Asner
  • , Philip G. Taylor
  • , Cory C. Cleveland
  • , Rebecca Cole
  • , Roberta E. Martin
  • , Megan Nasto
  • , Brooke B. Osborne
  • , Stephen Porder
  • , Alan R. Townsend

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Distributions of foliar nutrients across forest canopies can give insight into their plant functional diversity and improve our understanding of biogeochemical cycling. We used airborne remote sensing and partial least squares regression to quantify canopy foliar nitrogen (foliar N) across ∼164 km2 of wet lowland tropical forest in the Osa Peninsula, Costa Rica. We determined the relative influence of climate and topography on the observed patterns of foliar N using a gradient boosting model technique. At a local scale, where climate and substrate were constant, we explored the influence of slope position on foliar N by quantifying foliar N on remnant terraces, their adjacent slopes, and knife-edged ridges. In addition, we climbed and sampled 540 trees and analyzed foliar N in order to quantify the role of species identity (phylogeny) and environmental factors in predicting foliar N. Observed foliar N heterogeneity reflected environmental factors working at multiple spatial scales. Across the larger landscape, elevation and precipitation had the highest relative influence on predicting foliar N (30% and 24%), followed by soils (15%), site exposure (9%), compound topographic index (8%), substrate (6%), and landscape dissection (6%). Phylogeny explained ∼75% of the variation in the field collected foliar N data, suggesting that phylogeny largely underpins the response to the environmental factors. Taken together, these data suggest that a large fraction of the variance in foliar N across the landscape is proximately driven by species composition, though ultimately this is likely a response to abiotic factors such as climate and topography. Future work should focus on the mechanisms and feedbacks involved, and how shifts in climate may translate to changes in forest function.

Original languageEnglish
Pages (from-to)2449-2462
Number of pages14
JournalEcological Applications
Volume26
Issue number8
DOIs
StatePublished - Dec 1 2016

Funding

This study was supported by the Blue Moon Foundation, National Science Foundation (Award Numbers 0918835 and DEB 1263651), the John D. and Catherine T. MacArthur Foundation, the Grantham Foundation for the Protection of the Environment, and the Endowment of the Carnegie Institution for Science. CAO data collection and processing was funded privately by the Carnegie Institution for Science. The Carnegie Airborne Observatory is made possible by the Avatar Alliance Foundation, John D. and Catherine T. MacArthur Foundation, M. A. N. Baker and G. L. Baker Jr., and W. R. Hearst III.

FundersFunder number
0918835, DEB 1263651
Carnegie Institution of Washington

    Keywords

    • Carnegie Airborne Observatory
    • Osa Peninsula, Costa Rica
    • gradient boosting
    • hyperspectral
    • light detection and ranging
    • partial least squares regression
    • topography

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