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Random Placement (random + placement)

Distribution by Scientific Domains

Life Sciences	75%

Selected Abstracts

Patterns of commonness and rarity in central European birds: reliability of the core-satellite hypothesis within a large scale

ECOGRAPHY, Issue 4 2002
David Storch
The frequency distribution of species' area of occupancy is often bimodal, most species being either very rare or very common in terms of number of occupied sites. This pattern has been attributed to the nonlinearity associated with metapopulation dynamics of the species, but there are also other explanations comprising sampling artifact and frequency distribution of suitable habitats. We tested whether the bimodal frequency distribution of occupied squares in central European birds could be derived solely from the frequency distribution of species population sizes (i.e. the sampling artifact hypothesis) or from the spatial distribution of their preferred habitats. Both models predict high proportion of very common species, i.e. the right side of frequency distribution. Bimodality itself is well predicted by models based on random placement of individuals according to their abundances but neither model predicts the observed prevalence of rare species. Even the combined models that assume random placement of individuals within the squares with suitable habitat do not predict such a high proportion of rare species. The observed distribution is more aggregated, rare species occupying a smaller portion of suitable habitat than predicted on the basis of their abundance. The pattern is consistent with metapopulation processes involving local population extinctions. The involvement of these processes is supported by two further observations. First, species rarity is associated with significant population trend and/or location on the edge of their ranges within central Europe, both situations presumably associated with metapopulation processes. Second, suitable habitats seem to be either saturated or almost unoccupied, which is consistent with the predictions of the metapopulation model based on nonlinear dynamics of extinction and colonization. Although the habitat suitability is an important determinant of species distribution, the rarity of many species of birds within this scale of observation seems to be affected by other factors, including local population extinctions associated with fragmentation of species' habitats. [source]

Challenges in the application of geometric constraint models

GLOBAL ECOLOGY, Issue 3 2007
Craig R. McClain
ABSTRACT Discerning the processes influencing geographical patterns of species richness remains one of the central goals of modern ecology. Traditional approaches to exploring these patterns have focused on environmental and ecological correlates of observed species richness. Recently, some have suggested these approaches suffer from the lack of an appropriate null model that accounts for species ranges being constrained to occur within a bounded domain. Proponents of these null geometric constraint models (GCMs), and the mid-domain effect these models produce, argue their utility in identifying meaningful gradients in species richness. This idea has generated substantial debate. Here we discuss what we believe are the three major challenges in the application of GCMs. First, we argue that there are actually two equally valid null models for the random placement of species ranges within a domain, one of which actually predicts a uniform distribution of species richness. Second, we highlight the numerous decisions that must be made to implement a GCM that lead to marked differences in the predictions of the null model. Finally, we discuss challenges in evaluating the importance of GCMs once they have been implemented. [source]

WATGEN: An algorithm for modeling water networks at protein,protein interfaces

JOURNAL OF COMPUTATIONAL CHEMISTRY, Issue 14 2007
Huynh-Hoa Bui
Abstract Water molecules at protein,protein interfaces contribute to the close packing of atoms and ensure complementarity between the protein surfaces, as well as mediating polar interactions. Therefore, modeling of interface water is of importance in understanding the structural basis of biomolecular association. We present an algorithm, WATGEN, which predicts locations for water molecules at a protein,protein or protein,peptide interface, given the atomic coordinates of the protein and peptide. A key element of the WATGEN algorithm is the prediction of water sites that can form multiple hydrogen bonds that bridge the binding interface. Trial calculations were performed on water networks predicted by WATGEN at 126 protein,peptide interfaces (X-ray resolutions , 2.0 Å), using different criteria for water placement. The energies of the predicted water networks were evaluated in AMBER8 and used in the choice of parameters for WATGEN. The 126 interfaces include 1264 experimentally determined bridging water sites, and the WATGEN algorithm predicts 72 and 88% of these sites within 1.5 and 2.0 Å, respectively. The predicted number of water molecules at each interface was much higher than the number of water molecules identified experimentally. Therefore, random placement of the same number of water molecules as that predicted at each interface was performed as a control, and resulted in only 22 and 40% of water sites placed within 1.5 and 2.0 Å of experimental sites, respectively. Based on these data, we conclude that WATGEN can accurately predict the location of water molecules at a protein,peptide interface, and this may be of value for understanding the energetics and specificity of biomolecular association. © 2007 Wiley Periodicals, Inc. J Comput Chem, 2007 [source]

burial (version 1.0): a method for testing genetic similarity within small groups of individuals using fragmentary data sets

MOLECULAR ECOLOGY RESOURCES, Issue 3 2001
Birgitt Schönfisch
Abstract Biologists are frequently facing the problem of dealing with data sets with a small amount of data and a high proportion of missing information. We were particularly interested in analysing fragmentary data sets generated by the application of molecular methods in palaeoanthropology in order to determine whether individuals are genetically related. In this note, we announce the release of the software burial (version 1.0) to test the null hypothesis that the observed grouping of individuals at a particular burial site reflects random placement of genotypes. The proposed test, however, can also be applied to data sets whose objects can be grouped according to nongenetic criteria such as the style of clothing, the kind of burial gifts or cultural artefacts. The C + + source code and binary executables for Windows and Linux are available for download at: http://www.uni-tuebingen.de/uni/bcm/BURIAL/index.html. [source]