Artigo Acesso aberto Produção Nacional Revisado por pares

Intermediate-scale horizontal isoprene concentrations in the near-canopy forest atmosphere and implications for emission heterogeneity

2019; National Academy of Sciences; Volume: 116; Issue: 39 Linguagem: Inglês

10.1073/pnas.1904154116

ISSN

1091-6490

Autores

Carla E. Batista, Jianhuai Ye, Igor Oliveira Ribeiro, Patrícia C. Guimarães, Adan S. S. Medeiros, Rafael G. Barbosa, Rafael Lopes Oliveira, Sérgio Duvoisin, Kolby Jardine, Dasa Gu, Alex Guenther, K. A. McKinney, Leila Droprinchinski Martins, Rodrigo Augusto Ferreira De Souza, Scot T. Martin,

Tópico(s)

Atmospheric aerosols and clouds

Resumo

The emissions, deposition, and chemistry of volatile organic compounds (VOCs) are thought to be influenced by underlying landscape heterogeneity at intermediate horizontal scales of several hundred meters across different forest subtypes within a tropical forest. Quantitative observations and scientific understanding at these scales, however, remain lacking, in large part due to a historical absence of canopy access and suitable observational approaches. Herein, horizontal heterogeneity in VOC concentrations in the near-canopy atmosphere was examined by sampling from an unmanned aerial vehicle (UAV) flown horizontally several hundred meters over the plateau and slope forests in central Amazonia during the morning and early afternoon periods of the wet season of 2018. Unlike terpene concentrations, the isoprene concentrations in the near-canopy atmosphere over the plateau forest were 60% greater than those over the slope forest. A gradient transport model constrained by the data suggests that isoprene emissions differed by 220 to 330% from these forest subtypes, which is in contrast to a 0% difference implemented in most present-day biosphere emissions models (i.e., homogeneous emissions). Quantifying VOC concentrations, emissions, and other processes at intermediate horizontal scales is essential for understanding the ecological and Earth system roles of VOCs and representing them in climate and air quality models.

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