Publications by authors named "E Lopez-Blanco"
In this study, we hypothesised that the actual development stage (i.e., current age of the ecosystem) is a determining factor for the magnitude of methane production and emissions in young, northern high-latitude peatlands.
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- There is a significant variation in how different land models predict carbon dynamics, particularly in peatlands, which poses challenges for accurate climate change predictions.
- A matrix approach was used to analyze and identify the reasons behind this variation, showing that differences in carbon residence time and environmental factors were key contributors to discrepancies among models.
- Despite models generally recognizing the negative impact of warming on net ecosystem production (NEP), they incorrectly predicted responses to increased carbon dioxide levels, highlighting the complexities and limitations of current simulation models.
Introduction: Hypertrophic pyloric stenosis (HPS) is a frequent pathology in neonates, with extramucosal pyloromyotomy being a healing surgery. It may be performed through a transverse subcostal incision (TSI) or a transumbilical incision (TUI).
Objective: To compare complications, operating times, hospital stay, and esthetic results between both techniques.
Long-term atmospheric CO concentration records have suggested a reduction in the positive effect of warming on high-latitude carbon uptake since the 1990s. A variety of mechanisms have been proposed to explain the reduced net carbon sink of northern ecosystems with increased air temperature, including water stress on vegetation and increased respiration over recent decades. However, the lack of consistent long-term carbon flux and in situ soil moisture data has severely limited our ability to identify the mechanisms responsible for the recent reduced carbon sink strength.
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- High-latitude surface energy budgets (SEBs) are important for understanding land-climate interactions in the Arctic, but uncertainties in their predictions remain.
- A study analyzed SEB observations from 1994 to 2021 and found that vegetation type is a key predictor of SEB components during Arctic summers, often matching or exceeding differences seen between vegetation and glacier surfaces.
- The study also revealed that the timing of SEB fluxes varies significantly with vegetation type, affecting snow-cover dynamics and suggesting that better representations of Arctic vegetation in models could enhance future Earth system predictions.