2015
DOI: 10.1890/es15-00056.1
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Soil aggregate stability was an uncertain predictor of ecosystem functioning in a temperate and semiarid grassland

Abstract: Abstract. We estimate rangeland managers assessing ecosystem health have measured soil stability .800,000 times. Our aim was to use quantitative data from a site in the Northern Great Plains, USA and a semi-quantitative literature search to demonstrate the robustness of soil stability as an indicator of ecosystem functioning. Empirical data included measurements of plant and soil properties along a local livestock grazing gradient to determine whether soil stability (e.g., % water-stable aggregates) explained … Show more

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Cited by 19 publications
(24 citation statements)
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“…The availability of base cations varies with edaphic properties, such 57 as soil pH (Katou, 2002), organic matter fractions (Oorts et al, 2003) and soil particle 58 sizes (Beldin et al, 2007). Prolonged N inputs generally causes soil acidification and 59 subsequent losses of soil cations (McLaughlin and Wimmer, 1999;Cheng et al, 2010), 60 and micronutrient availability may increase under soil acidification (Malhi et al, 1998) 61 causing toxicity to both plants and soil microorganisms in extreme cases (Bowman et Soil aggregate structure predominantly controls SOM dynamics (Six et al, 2004) 69 and microbial activities (Dorodnikov et al, 2009), and soil aggregate stability can 70 serve as an indicator for grassland ecosystem health (Reinhart et al, 2015). In 71 comparison with macroaggregates, microaggregates provide preferential sites for soil 72 C stabilization (Wang et al, 2015b) and the SOM herein is more microbial-processed 73 as evidenced by natural abundance stable 13 C values (Gunina and Kuzyakov, 2014; 74 Wang et al, 2015b).…”
mentioning
confidence: 99%
“…The availability of base cations varies with edaphic properties, such 57 as soil pH (Katou, 2002), organic matter fractions (Oorts et al, 2003) and soil particle 58 sizes (Beldin et al, 2007). Prolonged N inputs generally causes soil acidification and 59 subsequent losses of soil cations (McLaughlin and Wimmer, 1999;Cheng et al, 2010), 60 and micronutrient availability may increase under soil acidification (Malhi et al, 1998) 61 causing toxicity to both plants and soil microorganisms in extreme cases (Bowman et Soil aggregate structure predominantly controls SOM dynamics (Six et al, 2004) 69 and microbial activities (Dorodnikov et al, 2009), and soil aggregate stability can 70 serve as an indicator for grassland ecosystem health (Reinhart et al, 2015). In 71 comparison with macroaggregates, microaggregates provide preferential sites for soil 72 C stabilization (Wang et al, 2015b) and the SOM herein is more microbial-processed 73 as evidenced by natural abundance stable 13 C values (Gunina and Kuzyakov, 2014; 74 Wang et al, 2015b).…”
mentioning
confidence: 99%
“…Soil quality indicators provide information on the properties, characteristics and processes related to the soil functions and soil fertility [20][21][22][23]. Among them, biochemical indicators, because of their high sensitivity in short term, could be useful to assess the impact of any new management practice.…”
Section: Introductionmentioning
confidence: 99%
“…Overland flow resulting from rainfall is involved in many hydrological and geomorphic processes, including soil erosion (Holz et al ., ); agrochemical, nutrient, and pesticide leaching in croplands (Sigua et al ., , ; Ryan et al ., ; Srinivasan et al ., ; Bramorski et al ., ); and the translocation of seeds and organic matter (Bochet, ; Gourdin et al ., ). The infiltrability of soils is an especially important parameter for understanding infiltration excess (Hortonian) overland flow and may partially account for annual net primary productivity in some important ecosystems, including croplands (Stroosnijder, ; Shaver et al ., ; Reinhart et al ., ). Overland flow may arise through a number of mechanisms but in all cases is influenced by both rainfall and surface characteristics, the latter including soil infiltrability as modified by slope, ground cover, soil structure and horizonation, and microtopography (McCalla et al ., ; Rostagno, ; Hawke et al ., ).…”
Section: Introductionmentioning
confidence: 99%