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He, Peng, Montiglio, Pierre-Olivier, Somveille, Marius 
ORCID: https://orcid.org/0000-0002-6868-5080, Cantor, Mauricio and Farine, Damien R.
(2021)
The role of habitat configuration in shaping animal population processes: A framework to generate quantitative predictions.
Oecologia, 196 (3).
pp. 649-665.
ISSN 0029-8549
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Abstract
By 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.
| Item Type: | Article |
|---|---|
| Additional Information: | Availability of data and material: Empirical data used are available from Friesen et al. (2019). Code availability: The code for implementing the model is available in the R package AnimalHabitatNetwork on the CRAN and GitHub (https://github.com/ecopeng/AnimalHabitatNetwork, where the supplementary file AnimalHabitatNetwork/Examples/Examples.md for illustrating the use of our model is also deposited). The code for the simulations is available at https://github.com/ecopeng/Simulation_Code_AHN. Funding Information: Open Access funding enabled and organized by Projekt DEAL. This work was supported by the Max Planck Society, a Deutsche Forschungsgemeinschaft Scientific Network grant (‘The role of interaction structure in eco-evolutionary dynamics (EcoEvoInteract)’, FA 1420/3-1) awarded to DRF and POM, a doctoral scholarship from the China Scholarship Council (No. 201706100183) to PH, a postdoctoral fellowship from CAPES-Brazil (88881.170254/2018–01) to MC, the DFG Centre of Excellence 2117 “Centre for the Advanced Study of Collective Behaviour” under Germany’s Excellence Strategy—EXC 2117—422037984, and a grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 850859) awarded to DRF. |
| Uncontrolled Keywords: | habitat configuration,habitat networks,landscape connectivity,movement networks,social networks,ecology, evolution, behavior and systematics ,/dk/atira/pure/subjectarea/asjc/1100/1105 |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 22 Jul 2024 15:31 |
| Last Modified: | 25 Sep 2024 17:57 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/95998 |
| DOI: | 10.1007/s00442-021-04967-y |
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