@Article{AlvesTTGVSCTLNSGSAWSM:2018:LePhOn,
author = "Alves, Eliane G. and T{\'o}ta, Julio and Turnipseed, Andrew and
Guenther, Alex B. and Vega Bustillos, Jos{\'e} Oscar W. and
Santana, Raoni A. and Cirino, Glauber G. and Tavares, Julia V. and
Lopes, Aline Pontes and Nelson, Bruce W. and Souza, Rodrigo A. de
and Gu, Dasa and Stavrakou, Trissevgeni and Adams, David K. and
Wu, Jin and Saleska, Scott and Manzi, Antonio Ocimar",
affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and
{Universidade Federal do Oeste do Par{\'a} (UFOPA)} and {32B
Technologies Inc.} and {University of California} and {Instituto
de Pesquisas Energ{\'e}ticas e Nucleares (IPEN)} and
{Universidade Federal do Oeste do Par{\'a} (UFOPA)} and
{Universidade Federal do Par{\'a} (UFPA)} and {Instituto Nacional
de Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de
Pesquisas da Amaz{\^o}nia (INPA)} and {Instituto Nacional de
Pesquisas da Amaz{\^o}nia (INPA)} and {Universidade do Estado do
Amazonas (UEA)} and {University of California} and {Royal Belgian
Institute for Space Aeronomy} and {Universidad Nacional
Aut{\'o}noma de M{\'e}xico} and {Brookhaven National Laboratory}
and {University of Arizona} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Leaf phenology as one important driver of seasonal changes in
isoprene emissions in central Amazonia",
journal = "Biogeosciences",
year = "2018",
volume = "15",
number = "13",
pages = "4019--4032",
abstract = "Isoprene fluxes vary seasonally with changes in environmental
factors (e.g., solar radiation and temperature) and biological
factors (e.g., leaf phenology). However, our understanding of the
seasonal patterns of isoprene fluxes and the associated
mechanistic controls is still limited, especially in Amazonian
evergreen forests. In this paper, we aim to connect intensive,
field-based measurements of canopy isoprene flux over a central
Amazonian evergreen forest site with meteorological observations
and with tower-mounted camera leaf phenology to improve our
understanding of patterns and causes of isoprene flux seasonality.
Our results demonstrate that the highest isoprene emissions are
observed during the dry and dry-to-wet transition seasons, whereas
the lowest emissions were found during the wet-to-dry transition
season. Our results also indicate that light and temperature
cannot totally explain isoprene flux seasonality. Instead, the
camera-derived leaf area index (LAI) of recently mature leaf age
class (e.g., leaf ages of 35 months) exhibits the highest
correlation with observed isoprene flux seasonality (R 2 = 0.59, p
< 0.05). Attempting to better represent leaf phenology in the
Model of Emissions of Gases and Aerosols from Nature (MEGAN 2.1),
we improved the leaf age algorithm by utilizing results from the
camera-derived leaf phenology that provided LAI categorized into
three different leaf ages. The model results show that the
observations of agedependent isoprene emission capacity, in
conjunction with camera-derived leaf age demography, significantly
improved simulations in terms of seasonal variations in isoprene
fluxes (R 2 = 0.52, p < 0.05). This study highlights the
importance of accounting for differences in isoprene emission
capacity across canopy leaf age classes and identifying forest
adaptive mechanisms that underlie seasonal variation in isoprene
emissions in Amazonia.",
doi = "10.5194/bg-15-4019-2018",
url = "http://dx.doi.org/10.5194/bg-15-4019-2018",
issn = "1726-4170",
label = "lattes: 1564194439808754 9 AlvesTTGVSCTLNSGSAWSM:2018:LePhOn",
language = "en",
targetfile = "alves_leaf.pdf",
url = "https://www.biogeosciences.net/15/4019/2018/",
urlaccessdate = "27 abr. 2024"
}