Publications by authors named "P M Anthoni"

The observed global net land carbon sink is captured by current land models. All models agree that atmospheric CO and nitrogen deposition driven gains in carbon stocks are partially offset by climate and land-use and land-cover change (LULCC) losses. However, there is a lack of consensus in the partitioning of the sink between vegetation and soil, where models do not even agree on the direction of change in carbon stocks over the past 60 years.

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Article Synopsis
  • Plants are getting more carbon dioxide (CO) from the air, which helps them grow better and use water more efficiently.
  • In dry areas, this means that when there's a little more moisture in the soil, plants can grow even more leaves over time.
  • Research shows that this effect has increased plant growth in drylands from 1999 to 2015 compared to earlier years, but scientists still need to learn more about how rising CO levels affect these ecosystems.
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In Europe, three widespread extreme summer drought and heat (DH) events have occurred in 2003, 2010 and 2018. These events were comparable in magnitude but varied in their geographical distribution and biomes affected. In this study, we perform a comparative analysis of the impact of the DH events on ecosystem CO fluxes over Europe based on an ensemble of 11 dynamic global vegetation models (DGVMs), and the observation-based FLUXCOM product.

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In summer 2018, central and northern Europe were stricken by extreme drought and heat (DH2018). The DH2018 differed from previous events in being preceded by extreme spring warming and brightening, but moderate rainfall deficits, yet registering the fastest transition between wet winter conditions and extreme summer drought. Using 11 vegetation models, we show that spring conditions promoted increased vegetation growth, which, in turn, contributed to fast soil moisture depletion, amplifying the summer drought.

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Article Synopsis
  • There are significant gaps in understanding biomass carbon stocks, especially in tropical regions, which create uncertainty in predicting future carbon balance.
  • The study compares forest above-ground biomass (AGB) data from the GlobBiomass dataset with estimates from nine dynamic global vegetation models (DGVMs), revealing discrepancies in total AGB values.
  • Local human disturbances contribute to biomass density deficits in tropical areas, and regression analysis shows that these disturbances are underrepresented in DGVMs, leading to an overestimation of biomass turnover time.
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