The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Landscape connectivity: the geographic basis of geomorphic applications
Abstract
Geographic concerns for spatial relationships lie at the heart of geomorphic applications in environmental management. The way in which landscape compartments fit together in a catchment influences the operation of biophysical fluxes, and hence the ways in which disturbance responses are mediated over time. These relationships reflect the connectivity of the landscape. A nested hierarchical framework that emphasizes differing forms of (dis)connectivity in catchments is proposed. This field‐based geomorphic tool can be used to ground the application of modelling techniques in analysis of catchment‐scale biophysical fluxes.
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Cites
Vannote, R. L., Minshall, G. W., Cummins, K. W., Sedell, J. R., & Cushing, C. E. (1980) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f80-017 · Cited by 9,984
Cited by
Geomorphometric assessment of spatial sediment connectivity in small Alpine catchments
Cavalli, M., Trevisani, S., Comiti, F., & Marchi, L. (2013) · Geomorphology · doi:10.1016/j.geomorph.2012.05.007 · Cited by 786
Sediment connectivity: a framework for understanding sediment transfer at multiple scales
Bracken, L. J., Turnbull, L., Wainwright, J., & Bogaart, P. (2015) · Earth Surface Processes and Landforms · doi:10.1002/esp.3635 · Cited by 559
(2018) · QUT ePrints (Queensland University of Technology) · doi:10.22034/gjesm.2018.04.02.007 · Cited by 35
Metadata
- Authors
- Brierley, G., Fryirs, K., & Jain, V.
- Venue
- Area
- Publisher
- Wiley
- Published
- 2006-06
- Volume
- 38
- Issue
- 2
- Pages
- 165-174
- ISSN
- 0004-0894 (ISSN-L)
- 1475-4762
- OpenAlex
- W2096701663
- Cited by
- 376
- References
- 1
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
