Egypt

Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using multiple taxa
Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using multiple taxa

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
Wrong, but useful: regional species distribution models may not be improved by range-wide data under biased sampling

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

Reliability of species distribution modelling for wildlife conservation in developing countries
Reliability of species distribution modelling for wildlife conservation in developing countries

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

Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and Maxent
Improved species-occurrence predictions in data-poor regions: using large-scale data and bias correction with down-weighted Poisson regression and Maxent

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

The Desert Beauty Calopieris eulimene: a butterfly new to Egypt (Insecta: Lepidoptera)
The Desert Beauty Calopieris eulimene: a butterfly new to Egypt (Insecta: Lepidoptera)

Download PDF Ahmed El-Gabbas & Francis Gilbert 2016 The Desert Beauty Calopieris eulimene: a butterfly new to Egypt (Insecta: Lepidoptera) Zoology in the Middle East 62:3(279-281) 10.1080/09397140.2016.1202984 The butterfly genus Calopieris Aurivillius, 1898 has only one species: the Desert Beauty Calopieris eulimene (Klug, 1829) (Ackery, Smith, & Vane-Wright, 1985), which is a rare Afrotropical species considered to be one of the most xerophilic butterflies in Africa (T.

Apr 1, 2016

Conserving Egypt's reptiles under climate change
Conserving Egypt's reptiles under climate change

Download PDF Ahmed El-Gabbas Sherif Baha El Din Samy Zalat Francis Gilbert Conserving Egypt’s reptiles under climate change Journal of Arid Environments, 127:211–221 10.1016/j.jaridenv.2015.12.007 Climate change has caused range shifts and extinctions of many species in the recent past.

Apr 1, 2016

Distribution of the Egyptian reptiles under current and future climates
Distribution of the Egyptian reptiles under current and future climates

Supervisor:Prof. Francis Gilbert, School of Life Sciences, Nottingham University, Nottingham, UK. distribution of thE Egyptian rEptilEs undEr currEnt and futurE climatEs By: Ahmed El-Gabbas Supervisor: Dr. Francis Gilbert A thesis presented to the School of Biology, The University of Nottingham in partial fulllment of the requirements for the degree of Master by Research (Conservation Biology).

Jan 1, 2012

Testing the accuracy of species distribution models using species records from a new field survey
Testing the accuracy of species distribution models using species records from a new field survey

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

Mammals of Egypt: atlas, Red Data listing and conservation

My contribution: Mapping, species istribution models, translation, and Red Data assessments. I also helped in the analyses and editing.

Jan 1, 2010

Effect of characteristics of butterfly species on the accuracy of distribution models in an arid environment

Download PDF Tim Newbold, Tom Reader, Samy Zalat, Ahmed El-Gabbas & Francis Gilbert 2009 Effect of characteristics of butterfly species on the accuracy of distribution models in an arid environment

Jan 1, 2009