Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using multiple taxa Running title: User decisions affect conservation planning Authors: Ahmed El-Gabbas1*, Francis Gilbert2, Carsten F. Dormann1 1 Department of Biometry and Environmental System Analysis, University of Freiburg, D-79106 Freiburg, Germany 2 School of Life Sciences, University of Nottingham, Nottingham, United Kingdom * Corresponding author – E-Mail: elgabbas@outlook.
Jun 21, 2020
Wrong, but useful: regional species distribution models may not be improved by range-wide data under biased sampling Ahmed El-Gabbas Carsten F. Dormann https://doi.org/10.1002/ece3.3834 10.1002/ece3.3834 Species distribution modeling (SDM) is an essential method in ecology and conservation.
Jan 1, 2018
Main Supervisor:Prof. Carsten F. Dormann, Department of Biometry and Environmental System Analysis, University of Freiburg, Germany. Second Supervisor:Prof. Francis Gilbert, School of Life Sciences, Nottingham University, Nottingham, UK.
Jan 1, 2018
El-Gabbas A. & Dormann C. F.: Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and Maxent. Ecography DOI: 10.1111/ecog.03149. Appendix 1: Supplementary figures and tables Table A1: The estimated optimum combination of Maxent’s feature classes (FC) and Regularization Multiplier (RM) for each species and bias model type.
Jan 1, 2018
Download PDF Tim Newbold, Tom Reader, Ahmed El-Gabbas, Wiebke Berg, Wael M. Shohdi, Samy Zalat, Sherif Baha El Din & Francis Gilbert 2010 Testing the accuracy of species distribution models using species records from a new field survey
Jan 1, 2010
My contribution: Mapping, species istribution models, translation, and Red Data assessments. I also helped in the analyses and editing.
Jan 1, 2010
Download PDF Tim Newbold, Francis Gilbert, Samy Zalat, Ahmed El-Gabbas, Tom Reader 2009 Climate-based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna Journal of Biogeography 36: 2085-95
Jan 1, 2009