Isoprene emission in central Amazonia - from measurements to model estimates

<p>Isoprene regulates large-scale biogeochemical cycles by influencing atmospheric chemical and physical processes, and its dominant sources to the global atmosphere are the tropical forests. Although global and regional model estimates of isoprene emission have been optimized in the last decades, modeled emissions from tropical vegetation still carry high uncertainty due to a poor understanding of the biological and environmental controls on emissions. It is already known that isoprene emission quantities may vary significantly with plant traits, such as leaf phenology, and with the environment; however, current models still lack of good representation for tropical plant species due to the very few observations available. In order to create a predictive framework for the isoprene emission capacity of tropical forests, it is necessary an improved mechanistic understanding on how the magnitude of emissions varies with plant traits and the environment in such ecosystems. In this light, we aimed to quantify the isoprene emission capacity of different tree species across leaf ages, and combine these leaf measurements with long-term canopy measurements of isoprene and its biological and environmental drivers; then, use these results to better parameterize isoprene emissions estimated by MEGAN. We measured at the Amazon Tall Tower Observatory (ATTO) site, central Amazonia: (1) isoprene emission capacity at different leaf ages of 21 trees species; (2) isoprene canopy mixing ratios during six campaigns from 2013 to 2015; (3) isoprene tower flux during the dry season of 2015 (El-Niño year); (3) environmental factors – air temperature and photosynthetic active radiation (PAR) - from 2013 to 2018; and (4) biological factors – leaf demography and phenology (tower based measurements) from 2013 to 2018. We then parameterized the leaf age algorithm of MEGAN with the measurements of isoprene emission capacity at different leaf ages and the tower-based measurements of leaf demography and phenology. Modeling estimates were later compared with measurements (canopy level) and five years of satellite-derived isoprene emission (OMI) from the ATTO domain (2013-2017). Leaf level of isoprene emission capacity showed lower values for old leaves (> 6 months) and young leaves (< 2 months), compared to mature leaves (2-6 months); and our model results suggested that this affects seasonal ecosystem isoprene emission capacity, since the demography of the different leaf age classes varied a long of the year. We will present more results on how changes in leaf demography and phenology and in temperature and PAR affect seasonal ecosystem isoprene emission, and how modeling can be improved with the optimization of the leaf age algorithm. In addition, we will present a comparison of ecosystem isoprene emission of normal years (2013, 2014, 2017 years) and anomalous years (2015 - El-Niño; and 2016 - post El-Niño), and discuss how a strong El-Niño year can influence plant functional strategies that can be carried over to the consecutive year and potentially affect isoprene emission.</p>

Leaf demography of Festuca pallens in dry grassland communities

Leaf blade parameters and leaf demography of Festuca pallens Host were studied in two types of dry grasslands. The field work was carried out in the Považský Inovec Mts (Western Carpathians) during 1993–1995. The permanent plot in the Poo badensis-Festucetum pallentis was located on a steep, strongly eroded S-facing slope covered with dolomite outcrops, scree and sparse vegetation (20%) dominated by Festuca pallens. The permanent plot in the Festuco pallentis-Caricetum humilis was located on the even ridge plateau with shallow stony soil and vegetation covering about 70% dominated by Carex humilis and Festuca pallens.In comparison to other grasses Festuca pallens had a very low rate of leaf turnover. The highest leaf birth rates and the lowest leaf death rates were observed in June. Leaf mortality was uniformly distributed in time without a distinct minimum or maximum. For the surviving tillers the leaf production exceeded the leaf mortality during the whole growing season. The steady net gain of leaves in tillers was not interrupted by the parallel process of tillering. Among the leaf cohorts the leaves produced in May had the longest leaf blades. Leaves grew during the whole year. The winter cold and summer drought might slow down the growth rate or interrupt the growth. The growth of a leaf blade took five to eight weeks. Leaf life span was estimated to 150–200 days (time from leaf appearance at the apex to the complete loss of its green assimilating parts). In comparison to other grasses Festuca pallens belongs to the species with the longest leaf life span. The effect of environmental factors on leaf demography was followed by the comparison of two populations belonging to two phytosociological associations differing mostly in habitat xericity. Differences were revealed in the following characteristics: length of leaf blade in cohorts born during May and June, maximum length of a leaf blade in a tiller and daily increments in May and June. The course of leaf natality and mortality was similar in the studied populations.