Literature DB >> 22961585

Delineation and validation of river network spatial scales for water resources and fisheries management.

Lizhu Wang1, Travis Brenden, Yong Cao, Paul Seelbach.   

Abstract

Identifying appropriate spatial scales is critically important for assessing health, attributing data, and guiding management actions for rivers. We describe a process for identifying a three-level hierarchy of spatial scales for Michigan rivers. Additionally, we conduct a variance decomposition of fish occurrence, abundance, and assemblage metric data to evaluate how much observed variability can be explained by the three spatial scales as a gage of their utility for water resources and fisheries management. The process involved the development of geographic information system programs, statistical models, modification by experienced biologists, and simplification to meet the needs of policy makers. Altogether, 28,889 reaches, 6,198 multiple-reach segments, and 11 segment classes were identified from Michigan river networks. The segment scale explained the greatest amount of variation in fish abundance and occurrence, followed by segment class, and reach. Segment scale also explained the greatest amount of variation in 13 of the 19 analyzed fish assemblage metrics, with segment class explaining the greatest amount of variation in the other six fish metrics. Segments appear to be a useful spatial scale/unit for measuring and synthesizing information for managing rivers and streams. Additionally, segment classes provide a useful typology for summarizing the numerous segments into a few categories. Reaches are the foundation for the identification of segments and segment classes and thus are integral elements of the overall spatial scale hierarchy despite reaches not explaining significant variation in fish assemblage data.

Mesh:

Year:  2012        PMID: 22961585     DOI: 10.1007/s00267-012-9938-y

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  6 in total

1.  Clustering gene expression patterns.

Authors:  A Ben-Dor; R Shamir; Z Yakhini
Journal:  J Comput Biol       Date:  1999 Fall-Winter       Impact factor: 1.479

2.  Landscape-based assessment of human disturbance for michigan lakes.

Authors:  Lizhu Wang; Kevin Wehrly; James E Breck; Lidia Szabo Kraft
Journal:  Environ Manage       Date:  2010-07-13       Impact factor: 3.266

3.  Evaluating the Illinois Stream Valley segment model as an effective management tool.

Authors:  Stephen S Warrner; Robert U Fischer; Ann M Holtrop; Leon C Hinz; James M Novak
Journal:  Environ Manage       Date:  2010-09-09       Impact factor: 3.266

4.  The use of an ecologic classification to improve water resource planning in New Zealand.

Authors:  T H Snelder; K F D Hughey
Journal:  Environ Manage       Date:  2005-11       Impact factor: 3.266

5.  Landscape based identification of human disturbance gradients and reference conditions for Michigan streams.

Authors:  Lizhu Wang; Travis Brenden; Paul Seelbach; Arthur Cooper; David Allan; Richard Clark; Michael Wiley
Journal:  Environ Monit Assess       Date:  2006-12-14       Impact factor: 2.513

6.  A note on permutation tests for variance components in multilevel generalized linear mixed models.

Authors:  Garrett M Fitzmaurice; Stuart R Lipsitz; Joseph G Ibrahim
Journal:  Biometrics       Date:  2007-04-02       Impact factor: 2.571

  6 in total

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