FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2275737467> ?p ?o ?g. }

• W2275737467 endingPage "e0142813" @default.
• W2275737467 startingPage "e0142813" @default.
• W2275737467 abstract "Habitat suitability and the distinct mobility of species depict fundamental keys for explaining and understanding the distribution of river fishes. In recent years, comprehensive data on river hydromorphology has been mapped at spatial scales down to 100 m, potentially serving high resolution species-habitat models, e.g., for fish. However, the relative importance of specific hydromorphological and in-stream habitat variables and their spatial scales of influence is poorly understood. Applying boosted regression trees, we developed species-habitat models for 13 fish species in a sand-bed lowland river based on river morphological and in-stream habitat data. First, we calculated mean values for the predictor variables in five distance classes (from the sampling site up to 4000 m up- and downstream) to identify the spatial scale that best predicts the presence of fish species. Second, we compared the suitability of measured variables and assessment scores related to natural reference conditions. Third, we identified variables which best explained the presence of fish species. The mean model quality (AUC = 0.78, area under the receiver operating characteristic curve) significantly increased when information on the habitat conditions up- and downstream of a sampling site (maximum AUC at 2500 m distance class, +0.049) and topological variables (e.g., stream order) were included (AUC = +0.014). Both measured and assessed variables were similarly well suited to predict species' presence. Stream order variables and measured cross section features (e.g., width, depth, velocity) were best-suited predictors. In addition, measured channel-bed characteristics (e.g., substrate types) and assessed longitudinal channel features (e.g., naturalness of river planform) were also good predictors. These findings demonstrate (i) the applicability of high resolution river morphological and instream-habitat data (measured and assessed variables) to predict fish presence, (ii) the importance of considering habitat at spatial scales larger than the sampling site, and (iii) that the importance of (river morphological) habitat characteristics differs depending on the spatial scale." @default.
• W2275737467 created "2016-06-24" @default.
• W2275737467 creator A5001785265 @default.
• W2275737467 creator A5040358274 @default.
• W2275737467 creator A5062157471 @default.
• W2275737467 date "2015-11-16" @default.
• W2275737467 modified "2023-10-02" @default.
• W2275737467 title "Spatial Scaling of Environmental Variables Improves Species-Habitat Models of Fishes in a Small, Sand-Bed Lowland River" @default.
• W2275737467 cites W1541774929 @default.
• W2275737467 cites W1570347269 @default.
• W2275737467 cites W174326445 @default.
• W2275737467 cites W1967293048 @default.
• W2275737467 cites W1972978214 @default.
• W2275737467 cites W1977641844 @default.
• W2275737467 cites W1979697325 @default.
• W2275737467 cites W1981030856 @default.
• W2275737467 cites W1990436032 @default.
• W2275737467 cites W1993775384 @default.
• W2275737467 cites W2011212287 @default.
• W2275737467 cites W2015166935 @default.
• W2275737467 cites W2038917231 @default.
• W2275737467 cites W2041282815 @default.
• W2275737467 cites W2042263899 @default.
• W2275737467 cites W2043121180 @default.
• W2275737467 cites W2050819491 @default.
• W2275737467 cites W2067545742 @default.
• W2275737467 cites W2073145164 @default.
• W2275737467 cites W2083023281 @default.
• W2275737467 cites W2083360316 @default.
• W2275737467 cites W2089454337 @default.
• W2275737467 cites W2089792340 @default.
• W2275737467 cites W2094687260 @default.
• W2275737467 cites W2095950749 @default.
• W2275737467 cites W2103767855 @default.
• W2275737467 cites W2104132255 @default.
• W2275737467 cites W2112315008 @default.
• W2275737467 cites W2113819778 @default.
• W2275737467 cites W2120160157 @default.
• W2275737467 cites W2123337039 @default.
• W2275737467 cites W2135445066 @default.
• W2275737467 cites W2135695572 @default.
• W2275737467 cites W2153407049 @default.
• W2275737467 cites W2155604041 @default.
• W2275737467 cites W2155982020 @default.
• W2275737467 cites W2157825442 @default.
• W2275737467 cites W2157832163 @default.
• W2275737467 cites W2177299793 @default.
• W2275737467 cites W231439473 @default.
• W2275737467 cites W4230102429 @default.
• W2275737467 cites W4249163810 @default.
• W2275737467 doi "https://doi.org/10.1371/journal.pone.0142813" @default.
• W2275737467 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4646645" @default.
• W2275737467 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26569119" @default.
• W2275737467 hasPublicationYear "2015" @default.
• W2275737467 type Work @default.
• W2275737467 sameAs 2275737467 @default.
• W2275737467 citedByCount "20" @default.
• W2275737467 countsByYear W22757374672016 @default.
• W2275737467 countsByYear W22757374672017 @default.
• W2275737467 countsByYear W22757374672018 @default.
• W2275737467 countsByYear W22757374672019 @default.
• W2275737467 countsByYear W22757374672020 @default.
• W2275737467 countsByYear W22757374672021 @default.
• W2275737467 countsByYear W22757374672022 @default.
• W2275737467 countsByYear W22757374672023 @default.
• W2275737467 crossrefType "journal-article" @default.
• W2275737467 hasAuthorship W2275737467A5001785265 @default.
• W2275737467 hasAuthorship W2275737467A5040358274 @default.
• W2275737467 hasAuthorship W2275737467A5062157471 @default.
• W2275737467 hasBestOaLocation W22757374671 @default.
• W2275737467 hasConcept C100970517 @default.
• W2275737467 hasConcept C105795698 @default.
• W2275737467 hasConcept C120665830 @default.
• W2275737467 hasConcept C121332964 @default.
• W2275737467 hasConcept C127313418 @default.
• W2275737467 hasConcept C132124917 @default.
• W2275737467 hasConcept C140779682 @default.
• W2275737467 hasConcept C152877465 @default.
• W2275737467 hasConcept C158709400 @default.
• W2275737467 hasConcept C185933670 @default.
• W2275737467 hasConcept C187320778 @default.
• W2275737467 hasConcept C18903297 @default.
• W2275737467 hasConcept C205649164 @default.
• W2275737467 hasConcept C2777016058 @default.
• W2275737467 hasConcept C2777289219 @default.
• W2275737467 hasConcept C31258907 @default.
• W2275737467 hasConcept C33923547 @default.
• W2275737467 hasConcept C39432304 @default.
• W2275737467 hasConcept C41008148 @default.
• W2275737467 hasConcept C42090638 @default.
• W2275737467 hasConcept C76886044 @default.
• W2275737467 hasConcept C86803240 @default.
• W2275737467 hasConcept C94915269 @default.
• W2275737467 hasConceptScore W2275737467C100970517 @default.
• W2275737467 hasConceptScore W2275737467C105795698 @default.
• W2275737467 hasConceptScore W2275737467C120665830 @default.
• W2275737467 hasConceptScore W2275737467C121332964 @default.
• W2275737467 hasConceptScore W2275737467C127313418 @default.

• next