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Environmental controls on canopy foliar nitrogen distributions in a Neotropical lowland forest.
Balzotti, Christopher S; Asner, Gregory P; Taylor, Philip G; Cleveland, Cory C; Cole, Rebecca; Martin, Roberta E; Nasto, Megan; Osborne, Brooke B; Porder, Stephen; Townsend, Alan R.
Afiliação
  • Balzotti CS; Department of Global Ecology, Carnegie Institution for Science, Stanford, California, 94305, USA.
  • Asner GP; Department of Global Ecology, Carnegie Institution for Science, Stanford, California, 94305, USA.
  • Taylor PG; Nicholas School of the Environment, Duke University, Durham, North Carolina, 27708, USA.
  • Cleveland CC; Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, Montana, 59812, USA.
  • Cole R; Department of Natural Resources and Environmental Management, University of Hawaii at Manoa, Honolulu, Hawaii, 96822, USA.
  • Martin RE; Department of Global Ecology, Carnegie Institution for Science, Stanford, California, 94305, USA.
  • Nasto M; Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, Montana, 59812, USA.
  • Osborne BB; Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island, 02912, USA.
  • Porder S; Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island, 02912, USA.
  • Townsend AR; Nicholas School of the Environment, Duke University, Durham, North Carolina, 27708, USA.
Ecol Appl ; 26(8): 2449-2462, 2016 Dec.
Article em En | MEDLINE | ID: mdl-27874999
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Folhas de Planta / Nitrogênio Tipo de estudo: Prognostic_studies País/Região como assunto: America central / Costa rica Idioma: En Revista: Ecol Appl Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Folhas de Planta / Nitrogênio Tipo de estudo: Prognostic_studies País/Região como assunto: America central / Costa rica Idioma: En Revista: Ecol Appl Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos