Matches in SemOpenAlex for { <https://semopenalex.org/work/W1597580382> ?p ?o ?g. }
- W1597580382 endingPage "689" @default.
- W1597580382 startingPage "675" @default.
- W1597580382 abstract "Summary 1. Stream metabolism is increasingly used for monitoring and assessment of the biological condition of aquatic ecosystems. However, distal environmental drivers, such as land use, are typically not well connected to the proximate controls, such as stream chemistry, that are usually invoked as driving metabolism. This is particularly true for North American prairie streams and for grassland streams worldwide. 2. Stream metabolism was measured at the outflow of 19 subcatchments of the Red River in southern Manitoba, Canada. Subcatchments represented gradients of nutrient‐producing human activities present in the region, that is, wastewater treatment (WWT), livestock production and crop cultivation. Stream metabolism was estimated at all sites using diel changes in dissolved oxygen (DO) concentration over 1 week in the middle of summer. Environmental parameters hypothesised to control stream metabolism were sampled across three spatial scales (stream reach, stream segment and catchment). Model selection using Akaike’s information criterion (AIC) was used to determine linkages between environmental parameters and measures of stream metabolism. 3. Estimated rates of metabolism were within the range of past studies of metabolism in prairie streams, although most streams had negative values of net ecosystem metabolism. However, production‐to‐respiration ratios were >0.5, at all but three sites suggesting that autochthonous production was an important source of organic matter. 4. The a priori model that best predicted gross primary production (GPP) was the intensity of nutrient‐producing human activities (i.e. WWT, livestock and crop cultivation) measured at the catchment scale. Ecosystem respiration (ER) was best predicted by the a priori model comprised of GPP, total nitrogen (TN) and total phosphorus (TP). However, model averaging revealed that prediction of ER could be improved by including riparian cover and removing TP from the model. The positive association between GPP and ER suggested that heterotrophic compartments of the ecosystem were modest contributors to variation in respiration rates. 5. Overall, this study suggests that variation of metabolism in prairie streams of southern Manitoba is controlled by human activities occurring at the catchment scale, a finding consistent with current hierarchically structured riverine paradigms. Moreover, increased understanding of the hierarchical structure of stream metabolism drivers will help to ensure that assessment results can be used more effectively to inform management strategies for prairie ecosystems." @default.
- W1597580382 created "2016-06-24" @default.
- W1597580382 creator A5026056755 @default.
- W1597580382 creator A5044750820 @default.
- W1597580382 creator A5048972615 @default.
- W1597580382 creator A5080172446 @default.
- W1597580382 date "2012-12-12" @default.
- W1597580382 modified "2023-10-17" @default.
- W1597580382 title "Multi-scaled drivers of rural prairie stream metabolism along human activity gradients" @default.
- W1597580382 cites W1166105545 @default.
- W1597580382 cites W1820166579 @default.
- W1597580382 cites W1966739177 @default.
- W1597580382 cites W1968407436 @default.
- W1597580382 cites W1973073020 @default.
- W1597580382 cites W1985903927 @default.
- W1597580382 cites W1998831348 @default.
- W1597580382 cites W2001522319 @default.
- W1597580382 cites W2004394736 @default.
- W1597580382 cites W200877622 @default.
- W1597580382 cites W2009386771 @default.
- W1597580382 cites W2011370232 @default.
- W1597580382 cites W2022748783 @default.
- W1597580382 cites W2037163763 @default.
- W1597580382 cites W2040567137 @default.
- W1597580382 cites W2042505277 @default.
- W1597580382 cites W2044093043 @default.
- W1597580382 cites W2056668909 @default.
- W1597580382 cites W2057067593 @default.
- W1597580382 cites W2072911647 @default.
- W1597580382 cites W2074464380 @default.
- W1597580382 cites W2079307233 @default.
- W1597580382 cites W2086461610 @default.
- W1597580382 cites W2096650374 @default.
- W1597580382 cites W2097694122 @default.
- W1597580382 cites W2100191260 @default.
- W1597580382 cites W2101236430 @default.
- W1597580382 cites W2113419135 @default.
- W1597580382 cites W2125360150 @default.
- W1597580382 cites W2131842864 @default.
- W1597580382 cites W2142625044 @default.
- W1597580382 cites W2146285556 @default.
- W1597580382 cites W2146884694 @default.
- W1597580382 cites W2155429509 @default.
- W1597580382 cites W2155537464 @default.
- W1597580382 cites W2156862133 @default.
- W1597580382 cites W2169398645 @default.
- W1597580382 cites W2170475678 @default.
- W1597580382 cites W2172009786 @default.
- W1597580382 cites W2177491312 @default.
- W1597580382 cites W2255543244 @default.
- W1597580382 cites W2313902122 @default.
- W1597580382 cites W2314581305 @default.
- W1597580382 cites W2320023917 @default.
- W1597580382 cites W2322062317 @default.
- W1597580382 cites W2328625326 @default.
- W1597580382 cites W2328678396 @default.
- W1597580382 cites W2335455352 @default.
- W1597580382 cites W4246047848 @default.
- W1597580382 doi "https://doi.org/10.1111/fwb.12072" @default.
- W1597580382 hasPublicationYear "2012" @default.
- W1597580382 type Work @default.
- W1597580382 sameAs 1597580382 @default.
- W1597580382 citedByCount "26" @default.
- W1597580382 countsByYear W15975803822013 @default.
- W1597580382 countsByYear W15975803822014 @default.
- W1597580382 countsByYear W15975803822015 @default.
- W1597580382 countsByYear W15975803822016 @default.
- W1597580382 countsByYear W15975803822017 @default.
- W1597580382 countsByYear W15975803822018 @default.
- W1597580382 countsByYear W15975803822020 @default.
- W1597580382 countsByYear W15975803822021 @default.
- W1597580382 countsByYear W15975803822022 @default.
- W1597580382 crossrefType "journal-article" @default.
- W1597580382 hasAuthorship W1597580382A5026056755 @default.
- W1597580382 hasAuthorship W1597580382A5044750820 @default.
- W1597580382 hasAuthorship W1597580382A5048972615 @default.
- W1597580382 hasAuthorship W1597580382A5080172446 @default.
- W1597580382 hasConcept C110872660 @default.
- W1597580382 hasConcept C127413603 @default.
- W1597580382 hasConcept C142796444 @default.
- W1597580382 hasConcept C175327387 @default.
- W1597580382 hasConcept C187320778 @default.
- W1597580382 hasConcept C18903297 @default.
- W1597580382 hasConcept C24717449 @default.
- W1597580382 hasConcept C31258907 @default.
- W1597580382 hasConcept C39432304 @default.
- W1597580382 hasConcept C41008148 @default.
- W1597580382 hasConcept C42090638 @default.
- W1597580382 hasConcept C76886044 @default.
- W1597580382 hasConcept C86803240 @default.
- W1597580382 hasConceptScore W1597580382C110872660 @default.
- W1597580382 hasConceptScore W1597580382C127413603 @default.
- W1597580382 hasConceptScore W1597580382C142796444 @default.
- W1597580382 hasConceptScore W1597580382C175327387 @default.
- W1597580382 hasConceptScore W1597580382C187320778 @default.
- W1597580382 hasConceptScore W1597580382C18903297 @default.
- W1597580382 hasConceptScore W1597580382C24717449 @default.
- W1597580382 hasConceptScore W1597580382C31258907 @default.