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Shishir Paudel

Researcher at Oklahoma State University–Stillwater

Publications -  32
Citations -  609

Shishir Paudel is an academic researcher from Oklahoma State University–Stillwater. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 11, co-authored 20 publications receiving 377 citations. Previous affiliations of Shishir Paudel include Southern Illinois University Carbondale.

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Journal ArticleDOI

Global distribution of earthworm diversity

Helen Phillips, +145 more
- 25 Oct 2019 - 
TL;DR: It was found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms, which suggest that climate change may have serious implications for earthworm communities and for the functions they provide.
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Physiochemical characteristics of soil in tropical sal ( Shorea robusta Gaertn.) forests in eastern Nepal

TL;DR: In this article, the physicochemical properties of two different types of forests (pure and mixed Shorea robusta) were analyzed for texture, pH, organic matter, humus content, water holding capacity, nitrogen, phosphorous and potassium.
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Effects of Topography and Land use on Woody Plant Species Composition and Beta Diversity in an Arid Trans-Himalayan Landscape, Nepal

TL;DR: In this paper, the authors examined the effects of incoming solar radiation on variation in woody species composition and compared the diversity between the northeast and southwestfacing slopes in a Trans-Himalayan valley of Nepal.
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Belowground interactions with aboveground consequences: Invasive earthworms and arbuscular mycorrhizal fungi

TL;DR: Understanding the mechanisms behind earthworms' effects on arbuscular mycorrhizal fungi (AMF) may improve the ability to predict the structure of plant and animal communities in earthworm-invaded regions and to develop management strategies that limit the numerous undesired impacts of earthworms.
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Statistical analysis of co-occurrence patterns in microbial presence-absence datasets.

TL;DR: A better null model based on a hypergeometric distribution, which appropriately corrects for species prevalence is identified, and can be used for evaluating the significance of any value of an empirically observed Jaccard’s index.