FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3132291048> ?p ?o ?g. }

• W3132291048 endingPage "107355" @default.
• W3132291048 startingPage "107355" @default.
• W3132291048 abstract "Greenhouse gas (GHG) fluxes from livestock grazed pasture soils are highly variable in both space and time but the quantitative importance of the factors regulating this variation remain poorly understood. Our aim was to explore this variability on contrasting extensively (low input) and intensively managed sheep-grazed ‘case-study’ pastures. We quantified (through standard and spatially-informed regressions) the statistical relationships between GHG fluxes (nitrous oxide (N2O), carbon dioxide (CO2) and methane (CH4)) and a range of soil, field and management characteristics. Fluxes of these three GHGs at two study sites were highly variable, but spatial structure (i.e. autocorrelation) was only observed in the variability of N2O fluxes across the intensive site and CO2 fluxes across the extensive site. The regression analyses identified significant GHG predictor variables for the extensive site as: NO3− (p < 0.001) and vegetation-type (p < 0.01) for N2O (R2 = 0.57; p = 0.000); NH4+ (p < 0.05), slope (p < 0.05) and elevation (p < 0.01) for CO2 (R2 = 0.34; p = 0.000); and NO3− (p < 0.01), NH4+ (p < 0.05) and soil moisture (p < 0.05) for CH4 (R2 = 0.25; p = 0.005). Significant GHG predictor variables for the intensive site were soil moisture (p < 0.01) and bulk density (p < 0.01) for N2O (R2 = 0.27; p = 0.005); soil moisture (p < 0.001) for CO2 (R2 = 0.31; p = 0.001); while none were found for CH4 (R2 = 0.10; p = 0.655). Key factors driving GHG variation were both site- and GHG-specific, with fluxes controlled by local conditions leading to differences in limiting factors (possibly even at the within-site scale). Our statistical analyses suggest a larger range of driving variables (e.g. air and soil temperature or other soil chemical properties such as total extractable N) may be required to more fully capture the observed variability in the GHG processes considered here, and that it may also be fruitful for future analyses to consider non-linear, non-stationary and interacting relationships across space- and time-scales. Adequacies of each site’s sample design also played a key interpretive role in the GHG processes, requiring further evaluation through additional sampling campaigns." @default.
• W3132291048 created "2021-03-01" @default.
• W3132291048 creator A5000532994 @default.
• W3132291048 creator A5012453083 @default.
• W3132291048 creator A5012699997 @default.
• W3132291048 creator A5017507834 @default.
• W3132291048 creator A5019028959 @default.
• W3132291048 creator A5026678183 @default.
• W3132291048 creator A5027028184 @default.
• W3132291048 creator A5033598554 @default.
• W3132291048 creator A5044052124 @default.
• W3132291048 creator A5052283412 @default.
• W3132291048 creator A5055094180 @default.
• W3132291048 creator A5055395034 @default.
• W3132291048 creator A5064381910 @default.
• W3132291048 creator A5074330650 @default.
• W3132291048 creator A5083032011 @default.
• W3132291048 date "2021-06-01" @default.
• W3132291048 modified "2023-10-18" @default.
• W3132291048 title "Within-field spatial variability of greenhouse gas fluxes from an extensive and intensive sheep-grazed pasture" @default.
• W3132291048 cites W1900815526 @default.
• W3132291048 cites W1966296137 @default.
• W3132291048 cites W1966877117 @default.
• W3132291048 cites W1994449790 @default.
• W3132291048 cites W2015032635 @default.
• W3132291048 cites W2021079271 @default.
• W3132291048 cites W2026287094 @default.
• W3132291048 cites W2027478374 @default.
• W3132291048 cites W2031852740 @default.
• W3132291048 cites W2032474162 @default.
• W3132291048 cites W2035254041 @default.
• W3132291048 cites W2048713587 @default.
• W3132291048 cites W2049746072 @default.
• W3132291048 cites W2057033314 @default.
• W3132291048 cites W2076336604 @default.
• W3132291048 cites W2083981152 @default.
• W3132291048 cites W2084708821 @default.
• W3132291048 cites W2094764252 @default.
• W3132291048 cites W2108484081 @default.
• W3132291048 cites W2113290607 @default.
• W3132291048 cites W2114204734 @default.
• W3132291048 cites W2117258857 @default.
• W3132291048 cites W2122806840 @default.
• W3132291048 cites W2122825543 @default.
• W3132291048 cites W2140964565 @default.
• W3132291048 cites W2143296882 @default.
• W3132291048 cites W2143499081 @default.
• W3132291048 cites W2147169550 @default.
• W3132291048 cites W2147643381 @default.
• W3132291048 cites W2150794995 @default.
• W3132291048 cites W2150905161 @default.
• W3132291048 cites W2156383315 @default.
• W3132291048 cites W2157304989 @default.
• W3132291048 cites W2158525247 @default.
• W3132291048 cites W2158765373 @default.
• W3132291048 cites W2184858934 @default.
• W3132291048 cites W2286245343 @default.
• W3132291048 cites W2343199820 @default.
• W3132291048 cites W2346138260 @default.
• W3132291048 cites W2408203064 @default.
• W3132291048 cites W2466247310 @default.
• W3132291048 cites W2470051628 @default.
• W3132291048 cites W2529963487 @default.
• W3132291048 cites W2548956185 @default.
• W3132291048 cites W2560200117 @default.
• W3132291048 cites W2591810624 @default.
• W3132291048 cites W2784131023 @default.
• W3132291048 cites W2797182557 @default.
• W3132291048 cites W2799315549 @default.
• W3132291048 cites W2802165352 @default.
• W3132291048 cites W2803271468 @default.
• W3132291048 cites W2811237559 @default.
• W3132291048 cites W2883746849 @default.
• W3132291048 cites W2890896602 @default.
• W3132291048 cites W2965305558 @default.
• W3132291048 cites W3042657031 @default.
• W3132291048 cites W367486565 @default.
• W3132291048 doi "https://doi.org/10.1016/j.agee.2021.107355" @default.
• W3132291048 hasPublicationYear "2021" @default.
• W3132291048 type Work @default.
• W3132291048 sameAs 3132291048 @default.
• W3132291048 citedByCount "2" @default.
• W3132291048 countsByYear W31322910482022 @default.
• W3132291048 crossrefType "journal-article" @default.
• W3132291048 hasAuthorship W3132291048A5000532994 @default.
• W3132291048 hasAuthorship W3132291048A5012453083 @default.
• W3132291048 hasAuthorship W3132291048A5012699997 @default.
• W3132291048 hasAuthorship W3132291048A5017507834 @default.
• W3132291048 hasAuthorship W3132291048A5019028959 @default.
• W3132291048 hasAuthorship W3132291048A5026678183 @default.
• W3132291048 hasAuthorship W3132291048A5027028184 @default.
• W3132291048 hasAuthorship W3132291048A5033598554 @default.
• W3132291048 hasAuthorship W3132291048A5044052124 @default.
• W3132291048 hasAuthorship W3132291048A5052283412 @default.
• W3132291048 hasAuthorship W3132291048A5055094180 @default.
• W3132291048 hasAuthorship W3132291048A5055395034 @default.
• W3132291048 hasAuthorship W3132291048A5064381910 @default.
• W3132291048 hasAuthorship W3132291048A5074330650 @default.

• next