Results 51 to 60 of about 1,185,812 (300)

Global‐Scale Shifts in Rooting Depths Due To Anthropocene Land Cover Changes Pose Unexamined Consequences for Critical Zone Functioning

Earth's Future, 2022
Rooting depth is an ecosystem trait that determines the extent of soil development and carbon (C) and water cycling. Recent hypotheses propose that human‐induced changes to Earth's biogeochemical cycles propagate deeply into Earth's subsurface due to ...
Emma Hauser, Pamela L. Sullivan, Alejandro N. Flores, Daniel Hirmas, Sharon A. Billings   +4 more
doaj   +1 more source

The ICON Earth System Model Version 1.0

Journal of Advances in Modeling Earth Systems, 2022
Abstract This work documents the ICON‐Earth System Model (ICON‐ESM V1.0), the first coupled model based on the ICON (ICOsahedral Non‐hydrostatic) framework with its unstructured, icosahedral grid concept. The ICON‐A atmosphere uses a nonhydrostatic dynamical core and the ocean model ICON‐O builds on the same ICON infrastructure, but ...
Jungclaus, J. H., Lorenz, S. J., Schmidt, H., Brovkin, V., Brüggemann, N., Chegini, F., Crüger, T., De‐Vrese, P., Gayler, V., Giorgetta, M. A., Gutjahr, O., Haak, H., Hagemann, S., Hanke, M., Ilyina, T., Korn, P., Kröger, J., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Müller, W. A., Nabel, J. E. M. S., Notz, D., Pohlmann, H., Putrasahan, D. A., Raddatz, T., Ramme, L., Redler, R., Reick, C. H., Riddick, T., Sam, T., Schneck, R., Schnur, R., Schupfner, M., von Storch, J.‐S., Wachsmann, F., Wieners, K.‐H., Ziemen, F., Stevens, B., Marotzke, J., Claussen, M., Lorenz, S. J.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Schmidt, H.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Brovkin, V.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Brüggemann, N.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Chegini, F.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Crüger, T.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, De‐Vrese, P.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Gayler, V.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Giorgetta, M. A.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Gutjahr, O.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Haak, H.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Hagemann, S.; 4 Helmholtz Zentrum Hereon Geesthacht Germany, Hanke, M.; 5 Deutsches Klimarechenzentrum Hamburg Germany, Ilyina, T.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Korn, P.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Kröger, J.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Linardakis, L.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Mehlmann, C.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Mikolajewicz, U.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Müller, W. A.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Nabel, J. E. M. S.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Notz, D.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Pohlmann, H.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Putrasahan, D. A.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Raddatz, T.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Ramme, L.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Redler, R.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Reick, C. H.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Riddick, T.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Sam, T.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Schneck, R.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Schnur, R.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Schupfner, M.; 5 Deutsches Klimarechenzentrum Hamburg Germany, von Storch, J.‐S.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Wachsmann, F.; 5 Deutsches Klimarechenzentrum Hamburg Germany, Wieners, K.‐H.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Ziemen, F.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Stevens, B.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Marotzke, J.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany, Claussen, M.; 1 Max‐Planck‐Institute for Meteorology Hamburg Germany   +80 more
openaire   +6 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Metabolic, Replication and Genomic Category of Systems in Biology, Bioinformatics and Medicine [PDF]

, 2012
Metabolic-repair models, or (M,R)-systems were introduced in Relational Biology by Robert Rosen. Subsequently, Rosen represented such (M,R)-systems (or simply MRs)in terms of categories of sets, deliberately selected without any structure other than the ...
I. C. Baianu
core   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Soil microbial respiration from observations and Earth System Models

Environmental Research Letters, 2013
Soil microbial respiration (Rh) is a large but uncertain component of the terrestrial carbon cycle. Carbon–climate feedbacks associated with changes to Rh are likely, but Rh parameterization in Earth System Models (ESMs) has not been rigorously evaluated
Pu Shao, Xubin Zeng, David J P Moore, Xiaodong Zeng   +3 more
doaj   +1 more source

Evaluation of CMIP Earth System Models on Root Biomass Simulation

Gaoyuan qixiang, 2022
Roots play an important role in the carbon cycle of ecosystems.The Earth System Models （ESMs） of the Coupled Model Intercomparison Project （CMIP） have been widely used to simulate and predict root biomass.In this paper， the spatial distribution， dynamic ...
Ke ZHOU, Youqi SU, Yu ZHANG, Minhong SONG, Tongwen WU, Linfeng YANG, Xizhao WANG, Tianya LI   +7 more
doaj   +1 more source

Tipping points in complex coupled life-environment systems

, 2013
Simple models of complex phenomena provide powerful insights and suggest low-level mechanistic descriptions. The Earth system arises from the interaction of subsystems with multi-scale temporal and spatial variability; from the microbial to continental ...
Dyke, James G., Weaver, Iain S.
core   +1 more source

A foundation model for the Earth system

Nature
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however this remains underexplored in many domains.
Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Jayesh K. Gupta, Kit Thambiratnam, Alexander T. Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris   +17 more
openaire   +4 more sources

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source