Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

The Theory of Island Biogeography

We consider 27 population and community terms used frequently by parasitologists when describing the ecology of parasites. We provide suggestions for various terms in an attempt to foster consistent use and to make terms used in parasite ecology easier to interpret for those who study free-living organisms. We suggest strongly that authors, whether they agree or disagree with us, provide complete and unambiguous definitions for all parameters of their studies.

/pdf/parasitology-meets-ecology-on-its-own-terms-margolis-et-al-4c6w2pahe6.pdf

Parasitology meets ecology on its own terms: Margolis et al. revisited.

The Cambridge Structural Database (CSD) contains a complete record of all published organic and metal–organic small-molecule crystal structures. The database has been in operation for over 50 years and continues to be the primary means of sharing structural chemistry data and knowledge across disciplines. As well as structures that are made public to support scientific articles, it includes many structures published directly as CSD Communications. All structures are processed both computationally and by expert structural chemistry editors prior to entering the database. A key component of this processing is the reliable association of the chemical identity of the structure studied with the experimental data. This important step helps ensure that data is widely discoverable and readily reusable. Content is further enriched through selective inclusion of additional experimental data. Entries are available to anyone through free CSD community web services. Linking services developed and maintained by the CCDC, combined with the use of standard identifiers, facilitate discovery from other resources. Data can also be accessed through CCDC and third party software applications and through an application programming interface.

https://journals.iucr.org/b/issues/2016/02/00/bm5086/bm5086.pdf

The Cambridge Structural Database

Statistics for Spatial Data.

This book is the second of two volumes in a series on terrestrial and marine comparisons, focusing on the temporal complement of the earlier spatial analysis of patchiness and pattern (Levin et al. 1993). The issue of the relationships among pattern, scale, and patchiness has been framed forcefully in John Steele’s writings of two decades (e.g., Steele 1978). There is no pattern without an observational frame. In the words of Nietzsche, “There are no facts… only interpretations.”

https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.2307/1941447

The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture

Searchable calculated powder patterns of crystalline substances are commonly used nowadays to complement experimental patterns for the identification of materials by diffraction methods Reliable such patterns are often calculable from the known cell, type and chemistry data on types with fixed Wyckoff positions, like NaCl, but not on type C16 of AB2 compounds, with CuAl2 as its representative material, because of the variable x coordinate of its B site Ab initio cell and coordinate relaxation for four key compounds with C16 type, all started from the same c/a = 1 and x = 1/6 configuration, converged on the correct axial ratios and fractional coordinates A linear regression on a plot of x coordinates optimized ab initio at experimental cell data versus X-ray coordinates for all 48 C16-type compositions for pure-phase compounds with coordinates in the CRYSTMET database gave y = 0998x, R2 = 088 Credible calculated powder patterns were then produced for AlHf2, AlZr2, AuTl2, BCr2, GaHf2, IrZr2 and TlTh2, all with cell, type and pure-phase composition information but no coordinates in this database, using their X-ray cell data and ab initio coordinates Those patterns, now inserted in the search system of the database, will help users identify those phases from powder diffraction angle and intensity data The corresponding entries in a new `X-ray cell-and-type, ab initio coordinates' category of full structure entries may be helpful for other applications, such as the simulation of EXAFS spectra or of backscattered electron patterns

Ab initio modelling of intermetallics with CuAl2 structure type: computed powder patterns from cell-and-type CRYSTMET entries

Reactions of stoicheiometric quantities of sulphur or selenium, bromine, and arsenic pentafluoride in liquid SO2 lead to the quantitative syntheses of crystalline Br2M+MMBr(AsF6–), (M = S, Se), the structures of which were determined by single crystal X-ray diffraction.

The Preparation and X-Ray Crystal Structures of Br2S+SSBr(AsF6-) and Br2Se+SeSeBr(AsF6-).

The preparation and crystal structure of the 3:1 adduct of antimony trifluoride and antimony pentafluoride containing the (sb3f8+)∞ cation

The Kinetics of the Quantitative, Symmetry Allowed, Reverse Electron Demand Cycloadditions of the Pseudo-1,3-dipole SNS+ with Alkynes and Nitriles. The Preparation and X-Ray Crystal Structures of Cyclic NCCSNSCHAsF6 and Cyclic SNSNC-CNSNS(AsF6)2: The Precursor to a New Class of S2N2C-CN2S2n+ (n = 0, 1, 2) Bicyclics.

Preparation and Characterization of Cyclic (SeNSNS)n(AsF6)2 Containing the “Electron-Rich Aromatic” 6π Cyclic SeNSNS2+ (n = 1) and 7π Cyclic SeNSNS× (n = 2).

Peter S. White

Papers

Ab initio modelling of intermetallics with CuAl2 structure type: computed powder patterns from cell-and-type CRYSTMET entries

The Preparation and X-Ray Crystal Structures of Br2S+SSBr(AsF6-) and Br2Se+SeSeBr(AsF6-).

The preparation and crystal structure of the 3:1 adduct of antimony trifluoride and antimony pentafluoride containing the (sb3f8+)∞ cation

Preparation and Characterization of Cyclic (SeNSNS)n(AsF6)2 Containing the “Electron-Rich Aromatic” 6π Cyclic SeNSNS2+ (n = 1) and 7π Cyclic SeNSNS× (n = 2).