Patch-based graphs of landscape connectivity: A guide to construction, analysis and application for conservation

Galpern, Paul; Manseau, Micheline; Fall, Andrew

doi:10.1016/j.biocon.2010.09.002

Cited by 303 publications

(271 citation statements)

References 58 publications

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“…Links can be drawn as Euclidean distances (straight lines), and as lowest cost (for instance according to relief or habitats), or else weighted using ecological factors. Different graph types can be built and modelled, for example, making links between all nodes or only making nodes close to another (Galpern et al, 2011). The generation of landscape graphs requires the use of new metrics to study landscape characteristics.…”

Section: New Analysis Tools For Management Purposesmentioning

confidence: 99%

“…Within the context of conservation and management, graphs will help us gain insight of important aspects (Galpern et al, 2011) such as: (1) nodes are connected in a seascape; (2) which patch types are important for connectivity; (3) which patches are important for connectivity; (4) how connectivity differs between graphs; (5) the threshold of aggregation within a landscape. The knowledge gained will be very useful for managers involved in the conservation and management of seagrass habitat.…”

Section: New Analysis Tools For Management Purposesmentioning

confidence: 99%

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Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Abadie

Pace

Gobert

et al. 2018

Ecological Indicators

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A B S T R A C TSeagrass meadows constitute marine habitats in shallow water temperate and tropical coastal areas worldwide that have a high ecological and economic importance. Amongst the 60 or so seagrass species, the endemic Mediterranean species Posidonia oceanica forms meadows that are arguably the most important shallow water coastal habitat in the region but which are subjected to high anthropogenic pressures. Because of the relatively large size of the plant, the meadows formed by this seagrass have high architectural and morphological complexity, which results in different morphotypes or seascapes. While numerous studies of P. oceanica architectural characteristics for continuous meadows of the seagrass are available, few works have addressed seascape ecological features and the influence of environmental factors (natural and anthropogenic) thereon. In the present review, we give an overview of P. oceanica meadow architectural and morphological characteristics and how these contribute to Mediterranean landscapes and seascapes. Studies addressing the influence of natural and anthropogenic factors on morphometric features of different meadow types and landscape ecological characteristics of P. oceanica habitat are also reviewed, as well as their influence on ecosystem processes. Finally, by considering the available data and tools for seascape studies, we present a discussion on methods to assess seagrass seascapes within the framework of coastal management. Our review highlights several gaps in P. oceanica seascape ecology knowledge such as the lack of data on the spatial distribution of this engineer species, and the possibility to use modern techniques and procedures for analysing structural and ecosystemic data.

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Section: New Analysis Tools For Management Purposesmentioning

confidence: 99%

Section: New Analysis Tools For Management Purposesmentioning

confidence: 99%

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Abadie

Pace

Gobert

et al. 2018

Ecological Indicators

View full text Add to dashboard Cite

show abstract

“…Beyond the human drivers and conservation context of park upstream watersheds considered here, future analyses need to explicitly consider the ecological benefits and buffering potentials of natural systems. While some of these variables -like the percentage of natural land cover types -will be inversely correlated with many of the landscape stressors (e.g., percentage urban, percentage agriculture), others related to landscape pattern (Riitters et al, 1995(Riitters et al, , 2007(Riitters et al, , 2009a(Riitters et al, , 2009b and habitat connectivity (Hilty et al, 2006;Theobald, 2006;Goetz et al, 2009;Galpern et al, 2011) will provide key management insights at local to regional scales.…”

Section: Next Stepsmentioning

confidence: 99%

Upstream Landscape Dynamics of US National Parks with Implications for Water Quality and Watershed Management

Monahan¹,

Gross²

2012

Sustainable Natural Resources Management

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“…Probabilistic approaches have been previously used to establish the characteristics of connections in a variety of biological contexts, from migrations to epidemics [3,[15][16][17][18][19][20][21]. Two patches connected by a direct link are said to be adjacent, and the link describing directional connectivity from source to target is called an arc [16]. Combining all patches and their respective arcs provides a connectivity network of a habitat in which a potential for dispersal among patches is represented with arc probabilities.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the reliability of dispersal paths in connectivity networks

Hock

Mumby

2015

J. R. Soc. Interface.

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Many biological systems, from fragmented landscapes to host populations, can be represented as networks of connected habitat patches. Links between patches in these connectivity networks can represent equally diverse processes, from individuals moving through the landscape to pathogen transmissions or successive colonization events in metapopulations. Any of these processes can be characterized as stochastic, with functional links among patches that exist with various levels of certainty. This stochasticity then needs to be reflected in the algorithms that aim to predict the dispersal routes in these networks. Here we adapt the concept of reliability to characterize the likelihood that a specific path will be used for dispersal in a probabilistic connectivity network. The most reliable of the paths that connect two patches will then identify the most likely sequence of intermediate steps between these patches. Path reliability will be sensitive to targeted disruptions of individual links that form the path, and this can then be used to plan the interventions aimed at either preserving or disrupting the dispersal along that path. The proposed approach is general, and can be used to identify the most likely dispersal routes in various contexts, such as predicting patterns of migrations, colonizations, invasions and epidemics.

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Patch-based graphs of landscape connectivity: A guide to construction, analysis and application for conservation

Cited by 303 publications

References 58 publications

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Seascape ecology in Posidonia oceanica seagrass meadows: Linking structure and ecological processes for management

Upstream Landscape Dynamics of US National Parks with Implications for Water Quality and Watershed Management

Quantifying the reliability of dispersal paths in connectivity networks

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