Characterizing physical habitats in rivers using map-derived drivers of fluvial geomorphic processes

Bizzi, Simone; Lerner, David N.

doi:10.1016/j.geomorph.2012.04.009

Cited by 48 publications

(78 citation statements)

References 54 publications

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“…Parker et al (2012) developed a river segmentation based on stream power. Other authors have proposed multi-dimensional river segmentation based on multiple hydromorphological drivers like active channel width, slope and channel confinement to automatically identify reaches with similar geomorphic properties (Bizzi and Lerner 2012;Schmitt et al 2014). Alber and Piégay (2011) have proposed an entire framework for aggregating and disaggregating virtually continuous hydromorphological variables for characterizing fluvial features at the network-scale.…”

Section: Discussionmentioning

confidence: 99%

The use of remote sensing to characterise hydromorphological properties of European rivers

et al. 2015

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Remote sensing (RS) technology offers unparalleled opportunities to explore river systems using RADAR, multispectral, hyper spectral, and LiDAR data. The accuracy reached by these technologies recently has started to satisfy the spatial and spectral resolutions required to properly analyse the hydromorphological character of river systems at multiple scales. Using the River Hierarchical Framework (RHF) as a reference we describe the state-of-the-art RS technologies that can be implemented to quantify hydromorphological characteristics at each of the spatial scales incorporated in the RHF (i. e. catchment, landscape unit, river segment, river reach, sub-reach-geomorphic and hydraulic units). We also report the results of a survey on RS data availability in EU member states that shows the current potential to derive RHF hydromorphological indicators from high-resolution multispectral images and topographic LiDAR at the national scale across Europe. This paper shows that many of the assessment indicators proposed by the RHF can be derived by different RS sources and existing methodologies, and that EU countries have sufficient RS data at present to already begin their incorporation into hydromorphological assessment and monitoring, as mandated by WFD. With cooperation and planning, RS data can form a fundamental component of hydromorphological assessment and monitoring in the future to help support the effective and sustainable management of rivers, and this would be done most effectively through the establishment of multi-purpose RS acquisition campaigns and the development of shared and standardized hydromorphological RS databases updated regularly through planned resurveyed campaigns.

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Section: Discussionmentioning

confidence: 99%

The use of remote sensing to characterise hydromorphological properties of European rivers

et al. 2015

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“…Geomorphology has often been recognized as an important factor in defining biological [10,11] and ecological characteristics of rivers [12,13] and ultimately the shaping of aquatic habitat [13,14]. The term habitat refers to a location or environment where an organism is most likely to be found and can include physical, chemical and biological characteristics that allow the organism to achieve various life history requirements, such as spawning, feeding, and overwintering.…”

Section: Geomorphology and Ecologymentioning

confidence: 99%

“…The majority of existing studies investigate relationships between habitat and geomorphology in relatively small, often wadeable, streams (order 1-5), where monitoring protocols tend to be well established and geomorphological variables can be measured with relative ease [11,13]. Such thorough data collection becomes less attainable in larger rivers, where greater depths, widths, discharge and flow velocities impede both active and passive data collection methods.…”

Section: Channel Planform and Physical Habitatsmentioning

confidence: 99%

Geospatial Modeling of River Systems

Carr

2018

Water

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Within the context of fluvial systems, geospatial modeling of river networks consists of describing certain patterns in the geographical or geomorphological "fabric" along the course of rivers or streams and correlating these patterns to physical, ecological, biological and chemical processes in the river/stream system's aquatic environment. Patterns may consist of different sets of similar sequences of geomorphological characteristics, sediment substrate type or flow velocity fields. These patterns will influence processes by defining, for example, behaviors in river ice formation or breakup (physical), fish habitat types (ecological) and transformations in water-quality constituents (biological and chemical). In this special issue of Geospatial Modeling of River Systems, we invited papers to present models and data that correlate geographic/geomorphic features of a river or stream system with physical/ecological/biological/chemical processes in the lotic aquatic environment.

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“…Several European countries have developed methodologies to identify the morphological character of rivers (Muhar and Jungwirth, 1998;Raven et al, 2000;Buffagni and Kemp, 2002;Rinaldi et al, 2013). The reason for the wide application of these methods is that they rely on well-established monitoring activities and simple classification criteria (Bizzi and Lerner, 2012). There are a few researches that refer to the hydromorphological and hydrological quality of Latvian streams (Grīnberga, 2010;Springe et al, 2010) but only one research was used to assess the hydromorphological quality of Latvian rivers using the River Habitat Survey method (Briede et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the hydromorphological quality of streams in the Venta River Basin District, Latvia

Jēkabsone¹,

Uzule²

2014

Estonian J. Ecol.

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Hydromorphological quality assessment is an important research topic, especially after the implementation of the EU Water Framework Directive. In this study the hydromorphological quality at 46 sites in 22 streams of the Venta River Basin District (RBD) in Latvia was investigated during the vegetation periods of 2011-2013. The UK River Habitat Survey method was used in the research. No significant differences in Habitat Quality Assessment (HQA) and Habitat Modification Scores (HMS) were found between stream types. We found that the most important factor affecting HQA scores in our research territory was instream vegetation, which coincides with results of other researchers. There was a significant negative correlation between HQA and HMS. Distance from the source had a negative correlation with HQA and a positive correlation with HMS. River type had a positive correlation with special features (beaver dams, fringing reed bank, wetlands, etc.).

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Characterizing physical habitats in rivers using map-derived drivers of fluvial geomorphic processes

Cited by 48 publications

References 54 publications

The use of remote sensing to characterise hydromorphological properties of European rivers

The use of remote sensing to characterise hydromorphological properties of European rivers

Geospatial Modeling of River Systems

Assessment of the hydromorphological quality of streams in the Venta River Basin District, Latvia

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