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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Knehtl, Miha;

    Hydromorphological (HM) assessment based on field survey (SIHM-TP) and remote sensing (SIHM-DZ) HM data was compared, and relationships between environmental variables of different spatial scales and benthic invertebrate (BI) and fish assemblages were studied in large rivers in Slovenia. BI assemblages were sampled at 83, and fish assemblages at 96 sampling sites. For each sampling site, data on variables of natural characteristics and stressors (HM characteristics, land use) were obtained through field surveys at the local scale (reach) and through remote sensing at the local (reach, segment) and regional scale (catchment). Correlation analysis (Spearman correlation) revealed good relationships between assessment of HM status of large rivers based on SIHM-TP and SIHM-DZ. Relationships between biotic assemblages and environmental variables/groups of environmental variables were analysed using canonical correspondence analysis (CCA)/partial CCA (pCCA). HM and riparian land use variables obtained at the segment scale explained a higher percentage of BI (1000 m) and fish variability (5000 m) compared to HM and riparian land use variables obtained at the reach scale (500 m). BI variability was best explained by SIHM-DZ indices based on HM data obtained at 1000 m river segments (8,9 %), while fish variability was best explained by SIHM-DZ indices based on HM data obtained at 5000 m river segments (10,4 %). Variability of BI and fish assemblages explained by local and regional stressors was well separated in the variance partitioning procedure (pCCA). Local and regional stressors explained a higher percentage of fish variability (43,5 %) compared to BI variability (19,9 %). BI variability was best explained by stressors of the catchment scale (6,8 %), while fish variability was best explained by stressor of the segment scale (15,3 %). Considering the effects of natural characteristics as covariables, local stressors explained a higher percentage of fish variability (25 %) compared to regional stressors (6,6 %), while the percentage of BI variability explained by local vs. regional stressors was comparable (4,6 vs. 3,4 %). This study emphasizes the difference in important stressors and the spatial scales on which they effect BI and fish assemblages in Slovenian large rivers. Primerjali smo rezultate vrednotenja hidromorfoloških (HM) značilnosti na podlagi podatkov iz terenskih popisov (SIHM-TP) in podatkov iz daljinskega zaznavanja (SIHM-DZ) ter ugotavljali povezave med spremenljivkami okoljskih značilnosti različnih prostorskih ravni in združbami bentoških nevretenčarjev (BN) in rib v velikih rekah Slovenije. Podatke o združbah BN smo pridobili na 83 in o združbah rib na 96 vzorčnih mestih. Za vsako vzorčno mesto smo pridobili podatke o spremenljivkah naravnih značilnosti in obremenitev (HM značilnosti, raba tal) s terenskimi popisi na lokalni ravni (pododsek) in z daljinskim zaznavanjem na lokalni (pododsek, odseka) in regionalni ravni (prispevno območje). Z analizo soodvisnosti (Spearmanov korelacijski koeficient) smo ugotovili dobre povezave med rezultati vrednotenja HM stanja velikih rek na podlagi SIHM-TP in SIHM-DZ. Povezave med združbami organizmov in okoljskimi spremenljivkami smo ugotavljali s kanonično korespondenčno analizo (CCA) ter med združbami organizmov in skupinami okoljskih spremenljivk s parcialno CCA. Ugotovili smo večji pomen HM spremenljivk in spremenljivk rabe tal obrežnega pasu na prostorski ravni odseka kot pododseka (500 m) tako za združbe BN (1000 m) kot združbe rib (5000 m). Z indeksi SIHM-DZ smo največji delež variabilnosti združb BN pojasnili na dolžini odseka 1000 m (8,9 %), največji delež variabilnosti združb rib pa na dolžini odseka 5000 m (10,4 %). Dobro smo razlikovali med pomenom obremenitev lokalne in regionalne ravni tako za združbe rib kot BN. S spremenljivkami obremenitev lokalne in regionalne ravni smo bolje pojasnili variabilnost združb rib (43,5 %) kot združb BN (19,9 %). Združbo BN smo najbolje pojasnili s skupino obremenitev prispevnega območja (6,8 %), združbe rib pa s skupino obremenitev odseka (15,3 %). Z odstranitvijo vpliva naravnih značilnosti smo za združbe rib ugotovili večji pomen obremenitev lokalne ravni (25.1 %) kot regionalne ravni (6,6 %) in primerljiv pomen lokalnih (4,6 %) in regionalnih obremenitev (3,4 %) za združbe BN. V raziskavi smo ugotovili za združbe BN in rib specifičen pomen obremenitev in prostorskih ravni njihovega delovanja v velikih rekah Slovenije.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repository of the Un...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repository of the Un...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Knehtl, Miha;

    Hydromorphological (HM) assessment based on field survey (SIHM-TP) and remote sensing (SIHM-DZ) HM data was compared, and relationships between environmental variables of different spatial scales and benthic invertebrate (BI) and fish assemblages were studied in large rivers in Slovenia. BI assemblages were sampled at 83, and fish assemblages at 96 sampling sites. For each sampling site, data on variables of natural characteristics and stressors (HM characteristics, land use) were obtained through field surveys at the local scale (reach) and through remote sensing at the local (reach, segment) and regional scale (catchment). Correlation analysis (Spearman correlation) revealed good relationships between assessment of HM status of large rivers based on SIHM-TP and SIHM-DZ. Relationships between biotic assemblages and environmental variables/groups of environmental variables were analysed using canonical correspondence analysis (CCA)/partial CCA (pCCA). HM and riparian land use variables obtained at the segment scale explained a higher percentage of BI (1000 m) and fish variability (5000 m) compared to HM and riparian land use variables obtained at the reach scale (500 m). BI variability was best explained by SIHM-DZ indices based on HM data obtained at 1000 m river segments (8,9 %), while fish variability was best explained by SIHM-DZ indices based on HM data obtained at 5000 m river segments (10,4 %). Variability of BI and fish assemblages explained by local and regional stressors was well separated in the variance partitioning procedure (pCCA). Local and regional stressors explained a higher percentage of fish variability (43,5 %) compared to BI variability (19,9 %). BI variability was best explained by stressors of the catchment scale (6,8 %), while fish variability was best explained by stressor of the segment scale (15,3 %). Considering the effects of natural characteristics as covariables, local stressors explained a higher percentage of fish variability (25 %) compared to regional stressors (6,6 %), while the percentage of BI variability explained by local vs. regional stressors was comparable (4,6 vs. 3,4 %). This study emphasizes the difference in important stressors and the spatial scales on which they effect BI and fish assemblages in Slovenian large rivers. Primerjali smo rezultate vrednotenja hidromorfoloških (HM) značilnosti na podlagi podatkov iz terenskih popisov (SIHM-TP) in podatkov iz daljinskega zaznavanja (SIHM-DZ) ter ugotavljali povezave med spremenljivkami okoljskih značilnosti različnih prostorskih ravni in združbami bentoških nevretenčarjev (BN) in rib v velikih rekah Slovenije. Podatke o združbah BN smo pridobili na 83 in o združbah rib na 96 vzorčnih mestih. Za vsako vzorčno mesto smo pridobili podatke o spremenljivkah naravnih značilnosti in obremenitev (HM značilnosti, raba tal) s terenskimi popisi na lokalni ravni (pododsek) in z daljinskim zaznavanjem na lokalni (pododsek, odseka) in regionalni ravni (prispevno območje). Z analizo soodvisnosti (Spearmanov korelacijski koeficient) smo ugotovili dobre povezave med rezultati vrednotenja HM stanja velikih rek na podlagi SIHM-TP in SIHM-DZ. Povezave med združbami organizmov in okoljskimi spremenljivkami smo ugotavljali s kanonično korespondenčno analizo (CCA) ter med združbami organizmov in skupinami okoljskih spremenljivk s parcialno CCA. Ugotovili smo večji pomen HM spremenljivk in spremenljivk rabe tal obrežnega pasu na prostorski ravni odseka kot pododseka (500 m) tako za združbe BN (1000 m) kot združbe rib (5000 m). Z indeksi SIHM-DZ smo največji delež variabilnosti združb BN pojasnili na dolžini odseka 1000 m (8,9 %), največji delež variabilnosti združb rib pa na dolžini odseka 5000 m (10,4 %). Dobro smo razlikovali med pomenom obremenitev lokalne in regionalne ravni tako za združbe rib kot BN. S spremenljivkami obremenitev lokalne in regionalne ravni smo bolje pojasnili variabilnost združb rib (43,5 %) kot združb BN (19,9 %). Združbo BN smo najbolje pojasnili s skupino obremenitev prispevnega območja (6,8 %), združbe rib pa s skupino obremenitev odseka (15,3 %). Z odstranitvijo vpliva naravnih značilnosti smo za združbe rib ugotovili večji pomen obremenitev lokalne ravni (25.1 %) kot regionalne ravni (6,6 %) in primerljiv pomen lokalnih (4,6 %) in regionalnih obremenitev (3,4 %) za združbe BN. V raziskavi smo ugotovili za združbe BN in rib specifičen pomen obremenitev in prostorskih ravni njihovega delovanja v velikih rekah Slovenije.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repository of the Un...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repository of the Un...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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