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Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds
Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds

Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds Diandra Duengen, Elke Burkhardt, Ahmed El-Gabbas Ocean Acoustics Group, Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany Klußmannstraße 3d, DE-27570 Bremerhaven, Germany Understanding cetacean distribution is essential for conservation planning and decision-making, particularly in regions subject to rapid environmental changes.

May 6, 2022

Static species distribution models in the marine realm: the case of baleen whales in the Southern Ocean
Static species distribution models in the marine realm: the case of baleen whales in the Southern Ocean

Static species distribution models in the marine realm: the case of baleen whales in the Southern Ocean Running title: Static SDMs in dynamic marine realm Authors: Ahmed El-Gabbas; Ilse Van Opzeeland; Elke Burkhardt; Olaf Boebel Ocean Acoustics Group, Alfred-Wegener-Institut (AWI), Helmholtz Zentrum für Polar- und Meeresforschung, 27570 Bremerhaven, Germany.

Apr 15, 2021

Multi-year presence of humpback whales in the Atlantic sector of the Southern Ocean but not during El Niño
Multi-year presence of humpback whales in the Atlantic sector of the Southern Ocean but not during El Niño

Multi-year presence of humpback whales in the Atlantic sector of the Southern Ocean but not during El Niño Elena Schall, Karolin Thomisch, Olaf Boebel, Gabriele Gerlach, Sari Mangia Woods, Ahmed El-Gabbas & Ilse Van Opzeeland Communications Biology volume 4, Article number: 790 (2021) Cite this article Abstract Humpback whales are thought to undertake annual migrations between their low latitude breeding grounds and high latitude feeding grounds.

Apr 15, 2021

Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean
Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean

Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean Species distribution models (SDMs) relate species information to environmental conditions to predict potential species distributions.

Apr 15, 2021

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

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

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