Towards quantifying uncertainty in predictions of Amazon ‘dieback’ Published online
نویسندگان
چکیده
One con fate of t *Autho Centre for Ecology and Hydrology, Benson Lane, Wallingford, Oxon OX10 8BB, UK Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK Met Office Hadley Centre, FitzRoy Road, Exeter, Devon EX1 3PB, UK Met Office Hadley Centre, JCHMR, Benson Lane, Wallingford, Oxon OX10 8BB, UK School of Engineering, Computer Science and Mathematics, Harrison Building, North Park Road, University of Exeter, Exeter EX4 4QF, UK Oxford University Centre for the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK Department of Organismic and Evolutionary Biology, Harvard University, HUH, 22 Divinity Avenue, Cambridge, MA 02138, USA
منابع مشابه
Towards quantifying uncertainty in predictions of Amazon ‘dieback’
Simulations with the Hadley Centre general circulation model (HadCM3), including carbon cycle model and forced by a 'business-as-usual' emissions scenario, predict a rapid loss of Amazonian rainforest from the middle of this century onwards. The robustness of this projection to both uncertainty in physical climate drivers and the formulation of the land surface scheme is investigated. We analys...
متن کاملPapaya Dieback in Malaysia: A StepTowards A New Insight of Disease Resistance
A recently published article describing the draft genome of Erwiniamallotivora BT-Mardi (1), the causal pathogen of papaya dieback infection in Peninsular Malaysia, hassignificant potential to overcome and reduce the effect of this vulnerable crop (2). The authors found that the draft genome sequenceis approximately 4824 kbp and the G+C content of the genomewas 52-54%, which is very similarto t...
متن کاملComparing MicroRNA Target Gene Predictions Related to Alzheimer's Disease Using Online Bioinformatics Tools
Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...
متن کاملComparing MicroRNA Target Gene Predictions Related to Alzheimer's Disease Using Online Bioinformatics Tools
Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...
متن کاملWood anatomy and carbon-isotope discrimination support long-term hydraulic deterioration as a major cause of drought-induced dieback.
Hydraulic impairment due to xylem embolism and carbon starvation are the two proposed mechanisms explaining drought-induced forest dieback and tree death. Here, we evaluate the relative role played by these two mechanisms in the long-term by quantifying wood-anatomical traits (tracheid size and area of parenchyma rays) and estimating the intrinsic water-use efficiency (iWUE) from carbon isotopi...
متن کامل