Article

 

Modelling dendritic ecological networks in space: an integrated network perspective Public Deposited

Analytics

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/articles/2z10wq52p

To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. The published article is copyrighted by Blackwell Publishing Ltd. and can be found at:  http://onlinelibrary.wiley.com/.

Descriptions

Attribute NameValues
Creator
Abstract
  • Dendritic ecological networks (DENs) are a unique form of ecological networks that exhibit a dendritic network topology (e.g. stream and cave networks or plant architecture). DENs have a dual spatial representation; as points within the network and as points in geographical space. Consequently, some analytical methods used to quantify relationships in other types of ecological networks, or in 2-D space, may be inadequate for studying the influence of structure and connectivity on ecological processes within DENs. We propose a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and provide a synthesis of the different approaches within the context of stream ecology. Within this context, we summarise the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs. Finally, we discuss how different network analyses may be combined to address more complex and novel research questions. While our main focus is streams, the taxonomy of network analyses is also relevant anywhere spatial patterns in both network and 2-D space can be used to explore the influence of multi-scale processes on biota and their habitat (e.g. plant morphology and pest infestation, or preferential migration along stream or road corridors).
Resource Type
DOI
Date Available
Date Issued
Citation
  • Peterson, E. E., Sengupta, A., Som, N., Steel, E. A., Theobald, D. M., Torgersen, C. E., . . . Ruesch, A. S. (2013). Modelling dendritic ecological networks in space: An integrated network perspective. Ecology Letters, 16(5), 707-719. doi:10.1111/ele.12084
Journal Title
Journal Volume
  • 16
Journal Issue/Number
  • 5
Academic Affiliation
Keyword
Rights Statement
Funding Statement (additional comments about funding)
  • This study was conducted as part of the Spatial Statistics for Streams Working Group supported by the National Center for Ecological Analysis and Synthesis, a Center funded by the National Science Foundation (Grant #EF-0553768), the University of California, Santa Barbara and the State of California.
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Deborah Campbell(deborah.campbell@oregonstate.edu) on 2013-06-04T23:08:51Z (GMT) No. of bitstreams: 1 FalkeJefreyAFisheriesWildlifeModellingdendriticEcological.pdf: 653176 bytes, checksum: 392f330ab800ec79faf7ee464ed3b9c4 (MD5)
  • description.provenance : Submitted by Deborah Campbell (deborah.campbell@oregonstate.edu) on 2013-06-04T23:07:49Z No. of bitstreams: 1 FalkeJefreyAFisheriesWildlifeModellingdendriticEcological.pdf: 653176 bytes, checksum: 392f330ab800ec79faf7ee464ed3b9c4 (MD5)
  • description.provenance : Made available in DSpace on 2013-06-04T23:08:51Z (GMT). No. of bitstreams: 1 FalkeJefreyAFisheriesWildlifeModellingdendriticEcological.pdf: 653176 bytes, checksum: 392f330ab800ec79faf7ee464ed3b9c4 (MD5) Previous issue date: 2013-05

Relationships

Parents:

This work has no parents.

Items

Thumbnail Title Date Uploaded Visibility Actions
FalkeJefreyAFisheriesWildlifeModellingdendriticEcological.pdf 2017-07-06 Public