2019
DOI: 10.1002/ece3.5469
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Litter accumulation alters the abiotic environment and drives community successional changes in two fenced grasslands in Inner Mongolia

Abstract: Fencing is an effective and practical method for restoring degraded grasslands in northern China. However, little is known about the role of excess litter accumulation due to long‐term fencing in regulating abiotic environment and driving changes in community structure and function. We conducted a three‐year field experiment in two fenced grasslands in Inner Mongolia, and monitored light quantity, soil temperature, and soil moisture continuously, and determined community height, community aboveground net prima… Show more

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Cited by 23 publications
(34 citation statements)
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“…Thirdly, grazing influence nutrient resorption by altering plant phenology, leaf chemistry, and the timing of litterfall which determines the amount of organic matter that is returned back into the soil (Chapman et al, 2006). Moreover, long-term grazing reduces the accumulation of litter, which leads to a reduction in soil water content (Hou et al, 2019). The change in soil water content has an important effect on plant N and P concentrations (Bai et al, 2012) which regulate plant nutrient resorption (Minoletti & Boerner, 1994).…”
Section: Introductionmentioning
confidence: 99%
“…Thirdly, grazing influence nutrient resorption by altering plant phenology, leaf chemistry, and the timing of litterfall which determines the amount of organic matter that is returned back into the soil (Chapman et al, 2006). Moreover, long-term grazing reduces the accumulation of litter, which leads to a reduction in soil water content (Hou et al, 2019). The change in soil water content has an important effect on plant N and P concentrations (Bai et al, 2012) which regulate plant nutrient resorption (Minoletti & Boerner, 1994).…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, this model can provide some effective support when the local government formulates an enclosure policy for ecological restoration. For some studies on litter and canopy interception [12,17,19,22,23,29,30,34], as well as studies on water flux at the vegetation-soil interface [14,19,48,53], these models can be used as an auxiliary method to predict the maximum WHC of litter. So as to make more reasonable scientific assumptions.…”
Section: Water-holding Model Of Littermentioning
confidence: 99%
“…A study has found that under low-intensity rainfall, the interception rate of litter has an increase of more than 10% compared with that under normal rainfall [21,22]. During drought periods in semi-arid grasslands, the majority of rainfall is small-intensity, which also makes litter accumulation have a greater rainfall interception effect [23]. Less rainfall entering the soil means less water is available to plants, which makes the inhibition of seed germination [14,24] and reduces community diversity [14].…”
Section: Introductionmentioning
confidence: 99%
“…Within each fenced grassland, three blocks (50 × 22 m) were established and the distance between two blocks was 200 m. In each block, the half of block (50 × 10 m) was randomly assigned as the litter removal treatment and the other half (50 × 10 m) was the control treatment, separated by a 2-m buffer. All the litter (mainly including dead, aboveground leaves, and stems of plants) in the litter removal treatment was cut near the soil surface and removed at the end of the growing season in late October 2014-2016 (Hou et al 2019). The all litter in the control treatment was retained throughout the experiment.…”
Section: Experimental Designmentioning
confidence: 99%
“…Soil temperature in the daytime and nighttime was indicated by the mean soil temperature between 6:00 am-6:00 pm and 6:00 pm-6:00 am (local time), respectively (Xia et al 2010). The effects of litter accumulation on soil temperature were indicated by the soil temperature difference between the control treatment and the litter removal treatment, calculated by the following equation (Hou et al 2019):…”
Section: Data Analysesmentioning
confidence: 99%