scholarly journals Climate and habitat configuration limit range expansion and patterns of dispersal in a non‐native lizard

2021 ◽  
Vol 11 (7) ◽  
pp. 3332-3346
Author(s):  
Robert J. Williams ◽  
Alison M. Dunn ◽  
Lily Mendes da Costa ◽  
Christopher Hassall
Keyword(s):  
Range Expansion ◽  
Habitat Configuration

scholarly journals Climate and habitat configuration limit range expansion and patterns of dispersal in a non-native lizard

2020 ◽  
Author(s):  
Robert Williams ◽  
Alison Dunn ◽  
Lily Mendes da Costa ◽  
Chris Hassall
Keyword(s):  
Range Expansion ◽  
Habitat Configuration

Investigation on Transmission Power Control Suitable for Heterogeneous Network Employing Cell Range Expansion in LTE-Advanced Uplink

2013 ◽  
Vol E96.B (4) ◽  
pp. 1051-1060 ◽  
Author(s):  
Akihito MORIMOTO ◽  
Nobuhiko MIKI ◽  
Hiroyuki ISHII ◽  
Daisuke NISHIKAWA ◽  
Yukihiko OKUMURA
Keyword(s):  
Power Control ◽  
Range Expansion ◽  
Heterogeneous Network ◽  
Transmission Power ◽  
Transmission Power Control ◽  
Cell Range Expansion ◽  
Lte Advanced ◽  
Cell Range

scholarly journals The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions

Oecologia ◽  
2021 ◽  
Author(s):  
Peng He ◽  
Pierre-Olivier Montiglio ◽  
Marius Somveille ◽  
Mauricio Cantor ◽  
Damien R. Farine
Keyword(s):  
Population Level ◽  
R Package ◽  
Habitat Configuration ◽  
Modelling Framework ◽  
Alternative Habitat ◽  
Animal Populations ◽  
Research Questions ◽  
Habitat Networks ◽  
Animal Habitat

AbstractBy shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.

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