Quality assessment using River Habitat Survey data

Raven, Paul; Holmes, Nigel; Dawson, F.H.; Everard, Mark

doi:10.1002/(sici)1099-0755(199807/08)8:4<477::aid-aqc299>3.0.co;2-k

Cited by 204 publications

(120 citation statements)

References 18 publications

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“…Richness (Ri), Diversity (Di), and Equitability (Eq) of taxonomic units (all: all recorded larvae, sp: only larvae determined to species level) and functional groups (FG), and habitat diversity (HQA). HQA total: overall habitat diversity = sum of scores of habitat diversity of channel (HQA channel), banks (HQA banks), landuse within 50 m from both banktops and within 500 m of the stream reach (HQA luse 500) and scores of features of special interest (HQA spec int), such as waterfalls according to Raven et al (1998). Values marked with asterisk adopted according to Kalaninová et al (2013 cal parameter stream order (P = 0.002; F = 6) and the physical parameter temperature -Deg.…”

Section: Resultsmentioning

confidence: 99%

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Caddisflies (Trichoptera) as good indicators of environmental stress in mountain lotic ecosystems

2014

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Abstract:We analysed the influence of environmental stress (mainly deforestation of catchment due to windstorm) on taxonomic structure as well as composition of functional groups (FG) based on zonation preferences and feeding types of caddisfly species in 11 streams (12 sites) with various environmental conditions situated in the High Tatra Mts, Slovakia. Using Spearman correlation, we confirmed an expected positive association between taxonomic and functional groups richness (Ri), diversity (Shannon -Wiener Index) (Di) and equitability (Eq), but not with habitat diversity (HQA indices). By testing measured physiographical, physico-chemical and hydromorphological factors using CCA analysis we found that stream order and temperature best explained the functional and taxonomic structure of caddisfly assemblages. The occurrence of Rhyacophila glareosa decreased with increasing daily mean water temperature positively correlated with deforestation, whereas R. tristis (dominating at sites most affected by erosion) showed the opposite pattern. Composition of functional groups based on zonation preferences and feeding types distinguished well near natural sites from impacted ones, dominated by crenal/rhithral predators, and explained more of the overall variance of the species-environment relationships than taxonomic composition of caddisfly assemblages.

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Section: Resultsmentioning

confidence: 99%

“…The physical character (river morphology) of the study sites was assessed using the River Habitat Survey method (RHS; Raven et al 1998).…”

Section: Data Samplingmentioning

confidence: 99%

Caddisflies (Trichoptera) as good indicators of environmental stress in mountain lotic ecosystems

2014

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“…For ΗΜWB designation method, the ALMS [21] was calculated and compared to Greek methodology result. The observer is familiar with lake environments and had previous experience with River Habitat Survey (RHS) [22], but never conducted LHS before. Expert opinion was used in some ALMS and LHQA metrics dealing with the whole lake assessment to define thresholds of hydromorphological pressures and to evaluate results [12,21].…”

Section: Application Of Lake Habitat Survey and Data Analysismentioning

confidence: 99%

Impact Assessment of Habitat and Hydromorphological Alterations in Two Heavily Modified Lakes

2018

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A description of hydromorphological pressures is required by the Water Framework Directive, however, there is not a commonly accepted assessment method. This study aims to explore a description tool application, not used before in Greece, for the quantification of the human impact extent on natural environment. Thus, in lakes Kastoria and Pamvotis, the Lake Habitat Survey was applied in the field and remotely to map the pressures, to examine confidence, suitability and ease of applicability through plot quantitative description, to calculate the "Lake Habitat Quality Assessment", "Lake Habitat Modification Score" and "Alteration of Lake Morphology Score" indices.

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“…The datasets are based on: (i) ecological survey of riparian forest ('alluvial and riparian woodlands and galleries close to main European river channels'), as part of the LUCAS 2009 data [83]; (ii) River Habitat Survey data (RHS [84]), a field method for the broad characterization of river streams, from (a) Technical University of Lisbon and (b) various institutions in the context of the MARCE project [85], coordinated by the University of Cantabria. The dataset was limited to points along streams of Strahler's order 3-8 and to the hydrological buffer network considered in the ARZ model, resulting in 791 points.…”

Section: Accuracy and Reliabilitymentioning

confidence: 99%

Europe’s Green Arteries—A Continental Dataset of Riparian Zones

et al. 2016

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Riparian zones represent ecotones between terrestrial and aquatic ecosystems and are of utmost importance to biodiversity and ecosystem functions. Modelling/mapping of these valuable and fragile areas is needed for improved ecosystem management, based on an accounting of changes and on monitoring of their functioning over time. In Europe, the main legislative driver behind this goal is the European Commission's Biodiversity Strategy to 2020, on the one hand aiming at halting biodiversity loss, on the other hand enhancing ecosystem services by 2020, and restoring them as far as is feasible. A model, based on Earth Observation data, including Digital Elevation Models, hydrological, soil, land cover/land use data, and vegetation indices is employed in a multi-modular and stratified approach, based on fuzzy logic and object based image analysis, to delineate potential, observed and actual riparian zones. The approach is designed in an open modular way, allowing future modifications and repeatability. The results represent a first step of a future monitoring and assessment campaign for European riparian zones and their implications on biodiversity and on ecosystem functions and services. Considering the complexity and the enormous extent of the area, covering 39 European countries, including Turkey, the level of detail is unprecedented. Depending on the accounting modus, 0.95%-1.19% of the study area can be attributed as actual riparian area (considering Strahler's stream orders 3-8, based on the Copernicus EU-Hydro dataset), corresponding to 55,558-69,128 km 2 . Similarly, depending on the accounting approach, the potential riparian zones cover an area about 3-5 times larger. Land cover/land use in detected riparian areas was mainly of semi-natural characteristics, while the potential riparian areas are predominately covered by agriculture, followed by semi-natural and urban areas.

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Quality assessment using River Habitat Survey data

Cited by 204 publications

References 18 publications

Caddisflies (Trichoptera) as good indicators of environmental stress in mountain lotic ecosystems

Caddisflies (Trichoptera) as good indicators of environmental stress in mountain lotic ecosystems

Impact Assessment of Habitat and Hydromorphological Alterations in Two Heavily Modified Lakes

Europe’s Green Arteries—A Continental Dataset of Riparian Zones

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