Picture offshore wind farm

Open Access: World leading research into plasma physics...

Strathprints makes available scholarly Open Access content by researchers in the Department of Physics, including those researching plasma physics.

Plasma physics explores the '4th' state of matter known as 'plasma'. Profound new insights are being made by Strathclyde researchers in their attempts to better understand plasma, its behaviour and applications. Areas of focus include plasma wave propagation, non-linear wave interactions in the ionosphere, magnetospheric cyclotron instabilities, the parametric instabilities in plasmas, and much more.

Based on the REF 2014 GPA Scores, Times Higher Education ranked Strathclyde as number one in the UK for physics research.

Explore Open Access plasma physics research and of the Department of Physics more generally. Or explore all of Strathclyde's Open Access research...

Using network centrality measures to manage landscape connectivity

Estrada, Ernesto and Bodin, Orjan, Ramon y Cajal program Spain (Funder), Swedish Reserach Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS) (Funder), Swedish Research Council (Funder), Department for Reserch Cooperation, Swedish International Development Cooperation Agency (Funder) (2008) Using network centrality measures to manage landscape connectivity. Ecological Applications, 18 (7). pp. 1810-1825. ISSN 1051-0761

[img]
Preview
PDF (Centrality_Landscape_Revised_#2.pdf)
Centrality_Landscape_Revised_#2.pdf
Accepted Author Manuscript

Download (889kB) | Preview

Abstract

We use a graph-theoretical landscape modeling approach to investigate how to identify central patches in the landscape as well as how these central patches influence (1) organism movement within the local neighborhood, and (2) the dispersal of organisms beyond the local neighborhood. Organism movements were theoretically estimated based on the spatial configuration of the habitat patches in the studied landscape. We find that centrality depends on the way the graph-theoretical model of habitat patches is constructed, although even the simplest network representation, not taking strength and directionality of potential organisms flows into account, still provides a coarse-grained assessment of the most important patches according to their contribution to landscape connectivity. Moreover, we identify (at least) two general classes of centrality. One accounts for the local flow of organisms in the neighborhood of a patch and the other for the ability to maintain connectivity beyond the scale of the local neighborhood. Finally, we study how habitat patches with high scores on different network centrality measures are distributed in a fragmented agricultural landscape in Madagascar. Results show that patches with high degree-, and betweenness centrality are widely spread, while patches with high subgraph- and closeness centrality are clumped together in dense clusters. This finding may enable multi-species analyses of single-species network models.