Events2nd International Electronic Conference on Remote Sensing
Published
This submission belongs to the session D. Applications of the event 2nd International Electronic Conference on Remote Sensing
Published date
22 Mar, 2018
Citation
George Letchov, Carbon-use efficiency of terrestrial ecosystems under stress conditions in South East Europe, in Proceedings of 2nd International Electronic Conference on Remote Sensing, 22 March–5 April 2018, MDPI: Basel, Switzerland, doi: 10.3390/ecrs-2-05176
Share
Email
Facebook
Twitter
LinkedIn

Carbon-use efficiency of terrestrial ecosystems under stress conditions in South East Europe

1. Agricultural University, Department of Mathematics & Physics, 12 Mendeleev Str., 4000 Plovdiv, BuLGARIA
Abstract

The Carbon Use Efficiency (CUE) is the ratio of net primary production (NPP) to gross primary production (GPP) and shows the capacity of terrestrial ecosystems to transfer carbon from the atmosphere to biomass. After 2000 there were four anomalous years in the productivity of terrestrial ecosystems caused by extreme droughts and heat waves in Southeast Europe in 2000, 2003, 2007 and 2012. The aim of this study is to examine the CUE under the stress conditions using NPP/GPP data products from the MODIS (NASA) spectroradiometer. Under extreme weather conditions CUE varied between 0.44 and 0.49, i.e. the drought and heat waves reduced the CUE with 10 до 20% and as a result the region has shifted from a carbon sink to a carbon source. Lowest CUE was observed in 2007, when it was 20% lower than efficiency in a normal year. The stress affects most on forest biomes, which were the lowest effective. It was found that up to 1100 m.a.s.l. the CUE decreased linearly with elevation, because of the predominant deciduous broadleaf forests.

Keywords
Carbon-use efficiency (CUE)
NPP/GPP
vegetation stress conditions
heat wave
drought
biome
altitude
MODIS
South Eastern Europe
Manuscript
Remote sensing-based Aerosol Optical Thickness for monitoring Particular Matter over the city
BAIS2: Burned Area Index for Sentinel-2