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The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

On the limitations of graph-theoretic connectivity in spatial ecology and conservation

Moilanen, Atte·2011·Journal of Applied Ecology
DOI 10.1111/j.1365-2664.2011.02062.x
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Abstract

Summary: 1. Applications of graph‐theoretic connectivity are increasing at an exponential rate in ecology and conservation. Here, limitations of these measures are summarized. 2. Graph‐theoretic connectivity measures are fundamentally limited as they require specification of a habitat quality threshold to allow definition of habitat patches (nodes). Frequently, a second threshold (critical dispersal distance) is applied in the identification of graph edges. 3. Graph‐theoretic measures are poorly applicable to large‐scale, high‐resolution, grid‐based data that describe distributions of species in habitats of varying quality. 4. Graph‐theoretic connectivity primarily concerns the emigration‐immigration component of spatial population‐dynamics. Therefore, it cannot alone answer questions about the regional population size, resilience or persistence of a focal species. 5. Synthesis and applications: Conservation managers in particular should appreciate these limitations before applying graph‐theoretic analysis to spatial conservation planning.

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  • Network-based connectivity statistics are often dependent on an assumed graph-theoretic model and are often computer resource-limited as larger areas are considered.

    “Network-based representations can be analyzed to derive meaningful connectivity statistics [22]–[25], though these are often dependent on an assumed graph-theoretic model (e.g., complete graph, minimum planar graph) [19] and are often computer resource-limited as larger areas are considered [26].”

    From Applying circuit theory for corridor expansion and management at regional scales: tiling, pinch points, and omnidirectional connectivity (2014) · cites this paper as [26]

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Research works printed but not linked: 37

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Metadata

Authors
Moilanen, A.
Venue
Journal of Applied Ecology
Publisher
Wiley
Published
2011-09-20
Volume
48
Issue
6
Pages
1543-1547
ISSN
  • 0021-8901
  • 1365-2664
DOI
10.1111/j.1365-2664.2011.02062.x
Cited by
139
References
1
Language
en
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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