P
Peter S. White
Researcher at University of North Carolina at Chapel Hill
Publications - 641
Citations - 36290
Peter S. White is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Crystal structure & Ligand. The author has an hindex of 72, co-authored 637 publications receiving 34509 citations. Previous affiliations of Peter S. White include National Park Service & University of Chicago.
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Putting beta-diversity on the map: broad-scale congruence and coincidence in the extremes.
Meghan W. McKnight,Peter S. White,Robert I. McDonald,John F. Lamoreux,John F. Lamoreux,Wes Sechrest,Robert S. Ridgely,Simon N. Stuart +7 more
TL;DR: These findings suggest that similar processes lead to high levels of differentiation in amphibian, bird, and mammal assemblages, while the ecological and biogeographic factors influencing homogeneity in vertebrate assemblage vary.
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Synthesis and Properties of Iridium Bis(phosphinite) Pincer Complexes (p-XPCP)IrH2, (p-XPCP)Ir(CO), (p-XPCP)Ir(H)(aryl), and {(p-XPCP)Ir}2{μ-N2} and Their Relevance in Alkane Transfer Dehydrogenation
TL;DR: In this paper, a series of bis(phosphinite) (p-XPCP)IrH2 pincer complexes were synthesized by dehydrochlorination of 4a−f with NaOtBu in the presence of hydrogen.
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Environmental drivers of large, infrequent wildfires : the emerging conceptual model
TL;DR: In this paper, the authors discuss the drivers of large, infrequent fires and the three mentioned ecosystem types in a global context, and discuss the effects of human management and climate change on their occurrence.
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Rational Design of Homochiral Solids Based on Two‐Dimensional Metal Carboxylates
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Scale dependence of vegetation‐environment correlations: A case study of a North Carolina piedmont woodland
TL;DR: In this paper, the authors examined the importance of scale in vegetation studies by testing four hypotheses: the correlation between vegetation composition and environment should increase with increasing grain (quadrat) size, the environmental factors most highly correlated with species composition should be similar at all grain sizes within the 6.6-ha study area, and the environment factors strongly correlated with vegetation composition over a much larger extent of the ca. 3500 ha Duke Forest.