CLIMATE - SOIL - BALTIC SEA - BIODIVERSITY
October 2020 GLOBAL CHANGE BIOLOGY | FER, ISTEM ET AL.
Carbon Action is developing a scientifically ambitious measurement and verification system. The verification system uses extensively collected data and can model and predict carbon sequestration even in areas where measurement data are scarce. The roadmap for the verification system is described in this scientific publication.
May 2020 - AGRICULTURAL AND FOOD SCIENCE | OLLIKAINEN, M. ET AL.
In Carbon Action, we develop economic models characterizing the production decisions in animal and crop production farms, and review mitigation measures and their cost-effectiveness in reducing emissions. Besides this, we link our discussion on policy instruments to detected results and developed models.
May 2020 - EUROPEAN JOURNAL OF SOIL SCIENCE | SOINNE ET AL
To achieve appropriate yield levels, farmers often complete inherent nitrogen (N) supply and biological N fixation by fertilization. To avoid economic losses and negative environmental impacts due to over‐application of N fertilizer, estimation of the inherent N supply is critical. In this article we aimed to identify simple indicators of inherent soil N supply applicable at the farm level.
July 2020 - European Journal of Soil Science | Hekkinen et al.
High expectations to harness agricultural soils as sinks for atmospheric carbon (C) necessitate methods for verifying changes in soil organic C (SOC) stocks and improving the accuracy of regional SOC stock estimates specific to various land‐use and management types. In this study we used a sample set included in the Finnish national soil monitoring network to determine the SOC stock and its vertical distribution in Finnish agricultural mineral soils.
December 2020 - Geoscientific Model Development | Viskari et al.
For approximating global terrestrial carbon pools and their change, model-calculated forecasts of soil organic carbon (SOC) are important. However, the lack of detailed observations limits the reliability and applicability of these SOC projections. In this scientific article we tested and observed how state data assimilation (SDA) can be used to continuously update the modeled state with available total carbon measurements in order to improve future SOC estimations.
November 2020 - Global Change Biology | Farina et al.
Simulation models represent soil organic carbon (SOC) dynamics in global carbon (C) cycle scenarios to support climate‐change studies. Here we evaluated SOC simulated from different process‐based C models by comparing simulations to experimental data from Denmark, France, Russia, Sweden and the United Kingdom. The decay of SOC in used test plots has been monitored for decades since the last inputs of plant material, providing the opportunity to test decomposition without the continuous input of new organic material. Our results may increase confidence in long‐term predictions of SOC dynamics by reducing the uncertainty in model estimates.
November 2020 - Nature Ecology &Evolution | Halliday et al.
Plant host individuals are often coinfected with diverse parasite assemblages, resulting in complex interactions among parasites within hosts. Within hosts, priority effects occur when the infection sequence alters the outcome of interactions among parasites. However, the role of host immunity in this process remains poorly understood. In this article we provide evidence that within-host priority effects of early-arriving strains can drive parasite assembly, with implications for how strain diversity is spatially and temporally distributed during disease epidemics.
PMID: 32868915 DOI: 10.1038/s41559-020-01289-9