Gian Luigi Somma

ORCID: 0000-0003-0383-5719
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About
Contact & Profiles
Research Areas
  • Space Satellite Systems and Control
  • Astro and Planetary Science
  • Planetary Science and Exploration
  • Water resources management and optimization
  • Genetic diversity and population structure
  • Forensic and Genetic Research
  • ECG Monitoring and Analysis
  • Space exploration and regulation
  • Spacecraft Dynamics and Control
  • Wildlife Ecology and Conservation
  • Energetic Materials and Combustion
  • Water-Energy-Food Nexus Studies
  • Plant Water Relations and Carbon Dynamics
  • Irrigation Practices and Water Management
  • EEG and Brain-Computer Interfaces
  • Hydrology and Watershed Management Studies
  • Remote Sensing in Agriculture
  • Species Distribution and Climate Change
  • Fault Detection and Control Systems
  • Soil Moisture and Remote Sensing
  • Archaeology and ancient environmental studies

University of Cambridge
2021

University of Southampton
2015-2018

Abstract Extensive sequencing of modern and ancient human genomes has revealed that contemporary populations can be explained as the result recent mixing a few distinct ancestral genetic lineages 1 . But small number aDNA samples predate Last Glacial Maximum means origins these are not well understood. Here, we circumvent limited sampling by modelling explicitly effect climatic changes terrain on population demography migrations through time space, show factors sufficient to explain...

10.1101/2021.07.13.452067 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-07-13

Abstract During the glacial periods of Pleistocene, swathes Northern Hemisphere were covered by ice sheets, tundra, and permafrost, leaving large areas uninhabitable for temperate boreal species. The refugia paradigm proposes that, during glaciations, species living in forced southwards, forming isolated populations that persisted disjunct regions known as refugia. According to this hypothesis, sheets retreated, recolonised continent from these refugia, mixing lineages is responsible modern...

10.1101/2021.05.10.443405 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-05-11

In space debris models, even a small change in the simulation variables can profoundly influence evolution of orbital population. The focus this paper is to investigate response LEO environment number and distribution new object launched. results performed sensitivity analysis suggest that more critic regions lie 800-1000 km 1100-1300 km.

10.13009/eucass2017-443 article EN 2017-01-01
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