Everglades Landscape Model ( ELM ) , Version 2 . 5 Peer Review Panel Report
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Study on two species of Ophiostoma in relation with Dutch elm disease in Iran
An investigation was carried out in some areas of Golestan Province including: Loveh forest, Soosara, Daland forest park, Tooskestan; Gilan Province including Siahkal and Asalem forests; Arasbaran and landscape of urban trees during 1999–2007. In this investigation, based on some morphological, physiological and molecular characteristics and also comparison with standard isolates two species Op...
متن کاملA comment on "Scientometrics in a changing research landscape".
I n their Science & Society article ‘Scientometrics in a changing research landscape’ [1] Lutz Bornmann and Loet Leydesdorff state that ‘the new UK Research Excellence Framework (REF) puts more emphasis on bibliometric data and less on peer review than did its predecessor’. Having overseen the UK Research Excellence Framework 2014 (http:// www.ref.ac.uk/) for the life sciences as Main Panel A (...
متن کاملIntegrated Ecological Modeling and Decision Analysis Within the Everglades Landscape
Integrated Ecological Modeling and Decision Analysis Within the Everglades Landscape H. Carl Fitz a , Gregory A. Kiker b & J. B. Kim b c a Soil & Water Science Department, Fort Lauderdale Research & Education Center, IFAS, University of Florida, Davie, FL, USA b Department of Agricultural and Biological Engineering, IFAS, University of Florida, Gainesville, FL, USA c Environmental Laboratory, E...
متن کاملHow vegetation and sediment transport feedbacks drive landscape change in the everglades and wetlands worldwide.
Mechanisms reported to promote landscape self-organization cannot explain vegetation patterning oriented parallel to flow. Recent catastrophic shifts in Everglades landscape pattern and ecological function highlight the need to understand the feedbacks governing these ecosystems. We modeled feedback between vegetation, hydrology, and sediment transport on the basis of a decade of experimentatio...
متن کاملKPCA and ELM ensemble modeling of wastewater effluent quality indices
Reliable measurements of effluent quality are important for different operational tasks such as process monitoring, online simulation, and advanced control in the wastewater treatment process (WWTP). A kernel principal component analysis (KPCA) and extreme learning machine (ELM) based ensemble soft sensing model for effluent quality prediction was proposed. KPCA was used to extract nonlinear fe...
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