3 documents found, page 1 of 1
In silico prediction of the enzymes involved in the degradation of the herbicid...
Lopes, A. R.; Bunin, E.; Viana, A. T.; Froufe, H.; Muñoz-Merida, A.; Pinho, D.; Figueiredo, J; Barroso, C.; Vaz-Moreira, I.; Bellanger, X.; Egas, C.Gulosibacter molinativorax ON4 T is the only known organism to produce molinate hydrolase (MolA), which catalyses the breakdown of the thiocarbamate herbicide into azepane-1-carboxylic acid (ACA) and ethanethiol. A combined genomic and transcriptomic strategy was used to fully characterize the strain ON4 T genome, particularly the molA genetic environment, to identify the potential genes encoding ACA degradatio...
Prediction, validation, and uncertainties of a nation‑wide post‑fire soil erosi...
Parente, J.; Girona-García, A.; Lopes, A. R.; Keizer, J. J.; Vieira, D. C. S.Wildfires are a recurrent and increasing threat in mainland Portugal, where over 4.5 million hectares of forests and scrublands have burned over the last 38 years. These fire-affected landscapes have suffered an intensification of soil erosion processes, which can negatively affect soil carbon storage, reduce fertility and forest productivity, and can become a source of pollutants. The main objective of the pre...
What is wrong with post‐fire soil erosion modelling? A meta‐analysis on current...
Lopes, A. R.; Girona-García, A.; Corticeiro, S.; Martins, R.; Keizer, J.; Vieira, D. C. S.In the near future, a higher occurrence of wildfires is expected due to climate change, carrying social, environmental, and economic implications. Such impacts are often associated with an increase of post‐fire hydrological and erosive responses, which are difficult to predict. Soil erosion models have been proven to be a valuable tool in the decision‐making process, from emergency response to long‐term plannin...