2021
DOI: 10.1007/s10021-021-00624-w
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Deadwood Reduces the Variation in Soil Microbial Communities Caused by Experimental Forest Gaps

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Cited by 12 publications
(2 citation statements)
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“…Coarse woody debris decomposition within forest gaps is influenced by a variety of environmental factors such as solar radiation, moisture, and temperature [104]; downed woody debris (DWD) produces microbial communities that contribute to biodiversity enhancement [105]; light and soil moisture content can increase soil microbial diversity [106,107]. Environmental factors such as microclimate, microtopography, and soil temperature and moisture are drivers of microbial community change and have a large impact on altering surface apoplastic decomposition and soil nutrient cycling [108,109].…”
Section: Microenvironmental Changes Within Forest Gapsmentioning
confidence: 99%
“…Coarse woody debris decomposition within forest gaps is influenced by a variety of environmental factors such as solar radiation, moisture, and temperature [104]; downed woody debris (DWD) produces microbial communities that contribute to biodiversity enhancement [105]; light and soil moisture content can increase soil microbial diversity [106,107]. Environmental factors such as microclimate, microtopography, and soil temperature and moisture are drivers of microbial community change and have a large impact on altering surface apoplastic decomposition and soil nutrient cycling [108,109].…”
Section: Microenvironmental Changes Within Forest Gapsmentioning
confidence: 99%
“…Given that it provides a habitat and food supply for a variety of creatures [4] and is an active participant in the carbon (C) and nutrient cycles of forests [5,6], DWD has a major effect on the structure and function of forests. The production of DWD alters forest canopy openings [7], the formation of soil microclimates [8], and soil physicochemical properties [9], all of which affect the growth and activity of the soil microbial community [10]. Numerous studies suggest that soil quality and health improve with the decomposition of DWD [9,11].…”
Section: Introductionmentioning
confidence: 99%