Background: Carbon dioxide removal from the atmosphere (CDR) is a critical component of strategies for restricting global warming to 1.5°C and is expected to come largely from the sequestration of carbon in vegetation. Because CDR rates have been declining in the United States, in part due to land use changes, policy proposals are focused on altering land uses, through afforestation, avoided deforestation, and no-net-loss strategies. Estimating policy effects requires a careful assessment of how land uses interact with forest conditions to determine future CDR.
Results: We evaluate how alternative specifications of land use-forest condition interactions in the United States affect projections of CDR using a model that mirrors land sector net emission inventories generated by the US government (EPA). Without land use change, CDR declines from 0.826 GT/yr in 2017 to 0.596 GT/yr in 2062 (28%) due to forest aging and disturbances. For a land use scenario that extends recent rates of change, we compare CDR estimated based on net changes in land use (Net Change model) and estimates that separately account for the distinct CDR implications of forest losses and forest gains (Component Change model). The Net Change model, a common specification, underestimates the CDR losses of land use by about 56% when compared with the Component Change models. We also estimate per hectare CDR losses from deforestation and gains from afforestation and find that afforestation gains lag deforestation losses in every ecological province in the US.
Conclusions: Net Change approaches substantially underestimate the impact of land use change on CDR and should be avoided. Component Change models highlight that avoided deforestation may provide up to twice the CDR benefits as increased afforestation-though preference for one policy over the other would require a cost assessment. The disparities in the CDR impacts of afforestation and deforestation indicate that no-net-loss policies could mitigate some CDR losses but would lead to overall declines in CDR for our 45-year time horizon. Over a much longer period afforestation could capture more of the losses from deforestation but at a timeframe inconsistent with most climate change policy efforts.
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http://dx.doi.org/10.1186/s13021-024-00287-9 | DOI Listing |
Cell Rep
December 2024
Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. Electronic address:
The amino acid sequence of the T cell receptor (TCR) varies between T cells of an individual's immune system. Particular TCR residues nearly guarantee mucosal-associated invariant T (MAIT) and natural killer T (NKT) cell transcriptional fates. To define how the TCR sequence affects T cell fates, we analyze the paired αβTCR sequence and transcriptome of 961,531 single cells.
View Article and Find Full Text PDFCell Death Discov
December 2024
Pole of Pharmacology and Therapeutics, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain (UCLouvain), Brussels, Belgium.
Hypoxic tumors are radioresistant stemming from the fact that oxygen promotes reactive oxygen species (ROS) propagation after water radiolysis and stabilizes irradiation-induced DNA damage. Therefore, an attractive strategy to radiosensitize solid tumors is to increase tumor oxygenation at the time of irradiation, ideally above a partial pressure of 10 mm-Hg at which full radiosensitization can be reached. Historically, the many attempts to increase vascular O delivery have had limited efficacy, but mathematical models predicted that inhibiting cancer cell respiration would be more effective.
View Article and Find Full Text PDFAntibodies (Basel)
December 2024
Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA.
Background: The complementarity-determining region (CDR) of antibodies represents the most diverse region both in terms of sequence and structural characteristics, playing the most critical role in antibody recognition and binding for immune responses. Over the past decades, several numbering schemes have been introduced to define CDRs based on sequence. However, the existence of diverse numbering schemes has led to potential confusion, and a comprehensive evaluation of these schemes is lacking.
View Article and Find Full Text PDFiScience
December 2024
KU Leuven, ECOOM, Department of Managerial Economics, Strategy and Innovation, Faculty of Economics and Business, Naamsestraat 69, BE-3000 Leuven, Belgium.
Climate modeling suggests that achieving international climate goals requires a reduction in current CO emissions by over 90%, with any remaining emissions to be addressed through carbon dioxide removal (CDR) solutions. Sixteen CDR strategies are evaluated by integrating technical potential, environmental, social, and governance (ESG) criteria, along with sequestration permanence. This evaluation, conducted by ENGIE's scientific council using an interdisciplinary Delphi panel methodology, proposes a "quality" measure for each technology.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wisconsin Alzheimer's Institute, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Introduction: The Clinical Dementia Rating (CDR) Scale is a gold standard for staging impairment in Alzheimer's disease and other dementias (ADRD). The Quick Dementia Rating System (QDRS) offers similar results in 3 to 5 minutes without a trained clinician. This study aimed to (1) investigate concordance between comparably derived QDRS and CDR global scores, (2) examine item-level QDRS/CDR agreement, and (3) compare sample characteristics and cognitive performance across QDRS/CDR global concordant/discordant groups.
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