Literature DB >> 23435849

Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management.

Bradley S Williams1, Ellen D'Amico, Jude H Kastens, James H Thorp, Joseph E Flotemersch, Martin C Thoms.   

Abstract

River systems consist of hydrogeomorphic patches (HPs) that emerge at multiple spatiotemporal scales. Functional process zones (FPZs) are HPs that exist at the river valley scale and are important strata for framing whole-watershed research questions and management plans. Hierarchical classification procedures aid in HP identification by grouping sections of river based on their hydrogeomorphic character; however, collecting data required for such procedures with field-based methods is often impractical. We developed a set of GIS-based tools that facilitate rapid, low cost riverine landscape characterization and FPZ classification. Our tools, termed RESonate, consist of a custom toolbox designed for ESRI ArcGIS®. RESonate automatically extracts 13 hydrogeomorphic variables from readily available geospatial datasets and datasets derived from modeling procedures. An advanced 2D flood model, FLDPLN, designed for MATLAB® is used to determine valley morphology by systematically flooding river networks. When used in conjunction with other modeling procedures, RESonate and FLDPLN can assess the character of large river networks quickly and at very low costs. Here we describe tool and model functions in addition to their benefits, limitations, and applications.

Mesh:

Year:  2013        PMID: 23435849     DOI: 10.1007/s10661-013-3114-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Development of a standardised approach to river habitat assessment in Australia.

Authors:  Melissa Parsons; Martin C Thoms; R H Norris
Journal:  Environ Monit Assess       Date:  2004-11       Impact factor: 2.513

2.  Critical Role for hierarchical geospatial analyses in the design of fluvial research, assessment, and management.

Authors:  James H Thorp; Joseph E Flotemersch; Bradley S Williams; Laura A Gabanski
Journal:  Environ Monit Assess       Date:  2013-01-30       Impact factor: 2.513

  2 in total
  4 in total

1.  IMPROVING PREDICTIVE MODELS OF IN-STREAM PHOSPHORUS CONCENTRATION BASED ON NATIONALLY-AVAILABLE SPATIAL DATA COVERAGES.

Authors:  Murray W Scown; Michael G McManus; John H Carson; Christopher T Nietch
Journal:  J Am Water Resour Assoc       Date:  2017-08

2.  Geomorphological characteristics of the Wabash River, USA: Influence on fish assemblages.

Authors:  Jeff Robbins; Mark Pyron
Journal:  Ecol Evol       Date:  2021-03-18       Impact factor: 2.912

3.  Geomorphology variables predict fish assemblages for forested and endorheic rivers of two continents.

Authors:  Robert Shields; Mark Pyron; Emily R Arsenault; James H Thorp; Mario Minder; Caleb Artz; John Costello; Amarbat Otgonganbat; Bud Mendsaikhan; Solongo Altangerel; Alain Maasri
Journal:  Ecol Evol       Date:  2021-11-26       Impact factor: 2.912

4.  Valley-scale hydrogeomorphology drives river fish assemblage variation in Mongolia.

Authors:  Alain Maasri; Mark Pyron; Emily R Arsenault; James H Thorp; Bud Mendsaikhan; Flavia Tromboni; Mario Minder; Scott J Kenner; John Costello; Sudeep Chandra; Amarbat Otgonganbat; Bazartseren Boldgiv
Journal:  Ecol Evol       Date:  2021-03-30       Impact factor: 2.912

  4 in total

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