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Cited by 586

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Detecting Critical Scales in Fragmented Landscapes

Open access
Keitt, Timothy, Urban, Dean L., Milne, Bruce T.·1997·Conservation Ecology

Abstract

We develop methods for quantifying habitat connectivity at multiple scales and assigning conservation priority to habitat patches based on their contribution to connectivity. By representing the habitat mosaic as a mathematical "graph," we show that percolation theory can be used to quantify connectivity at multiple scales from empirical landscape data. Our results indicate that connectivity of landscapes is highly scale dependent, exhibiting a marked transition at a characteristic distance and varying significantly for organisms with different dispersal behavior. More importantly, we show that the sensitivity and importance of landscape pattern is also scale dependent, peaking at scales associated with the percolation transition. In addition, the sensitivity analysis allows us to identify critical "stepping stone" patches that, when removed from the landscape, cause large changes in connectivity.

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Metadata

Authors
Keitt, T., Urban, D. L., & Milne, B. T.
Venue
Conservation Ecology
Published
1997
Volume
1
Issue
1
ISSN
1195-5449 (ISSN-L)
OpenAlex
W1501716378
Cited by
586
References
21
FWCI
15.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Detecting Critical Scales in Fragmented Landscapes. https://app.cochat.ai/papers/10.5751/es-00015-010104
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Keitt, T., Urban, D. L., & Milne, B. T. (1997). Detecting Critical Scales in Fragmented Landscapes. Conservation Ecology. https://doi.org/10.5751/es-00015-010104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.