Foraging in a patchy environment: prey-encounter rate and residence time distributions

Small bluegill sunfish, Lepomis macrochirus, foraging among patches in the laboratory did not search systematically within a patch; their intercapture intervals did not differ from a model of random prey encounter within a patch. Patch-residence time, number of prey eaten, and giving-up time (time between last prey capture and leaving the patch) were measured for bluegills foraging in two different three-patch 'environments' (a constant environment, in which each patch began with the same number of prey and a variable environment, in which two patches began with low prey density and one patch with high prey density). When compared with three decision rules a forager may use to determine when to leave a patch, the data most closely agreed with predictions from a 'constant residence time' rule. Bluegills responded to changes in the distribution of prey among patches, but not by using different decision rules. There was qualitative, but not quantitative, agreement with a model of random residence times. The total number of prey eaten by a bluegill during a foraging bout was similar to the number predicted from a model of random search and random residence times

The role of forensic anthropological techniques in identifying America\u27s war dead from past conflicts

The Scientific Analysis Directorate of the U.S. Department of Defense\u27s (DoD) Defense POW/MIA Accounting Agency (DPAA) is a unique entity within the U.S. Government. This agency currently houses the world\u27s largest, accredited skeletal identification laboratory in the world, in terms of the size of the scientific staff, global mission, and number of annual identifications. Traditional forensic anthropology is used for the formation of a biological profile (biological sex, stature, population affinity/ancestry, and age) as well as trauma and pathologies that may be compared with historical records and personnel files. Since World War II, various scientists associated with DoD have conducted base-line research in support of the identification of U.S. war dead, including, but not limited to, histology, the use of chest radiography and clavicle comparison, and statistical models to deal with commingling issues. The primary goal of the identification process of the Scientific Analysis Directorate is to use all available historical, field, and forensic methods to establish the most robust and defendable identification as scientifically and legally possible

The Role of Forensic Anthropological Techniques in Identifying America\u27s War Dead from Past Conflicts

The Scientific Analysis Directorate of the U.S. Department of Defense\u27s (DoD) Defense POW/MIA Accounting Agency (DPAA) is a unique entity within the U.S. Government. This agency currently houses the world\u27s largest, accredited skeletal identification laboratory in the world, in terms of the size of the scientific staff, global mission, and number of annual identifications. Traditional forensic anthropology is used for the formation of a biological profile (biological sex, stature, population affinity/ancestry, and age) as well as trauma and pathologies that may be compared with historical records and personnel files. Since World War II, various scientists associated with DoD have conducted base-line research in support of the identification of U.S. war dead, including, but not limited to, histology, the use of chest radiography and clavicle comparison, and statistical models to deal with commingling issues. The primary goal of the identification process of the Scientific Analysis Directorate is to use all available historical, field, and forensic methods to establish the most robust and defendable identification as scientifically and legally possible

The influence of taphonomy on histological and isotopic analyses of treated and untreated buried modern human bone

The chemical (e.g., preservation/embalming) treatment of skeletal remains can reduce overall DNA quality and quantity. The histological and stable isotope examination of treated and untreated human remains improves our understanding of how chemical preservatives impact bone diagenesis and will determine if chemical treatment adversely affects stable isotope ratio analysis of collagen. Fidelity in the application(s) of stable isotope interpretations requires that the isotope delta (δ) values have not been altered postmortem. Re-associated antimeres and refits of chemically treated and untreated rib and long bones from eight casualties [thin-sectioned human bone (n = 43) and collagen extraction/stable isotope analysis (n = 42)] from the World War II Battle of Tarawa were examined to compare skeletal elements from the same individual that had different taphonomic histories. Histological analyses included scoring upon the Oxford Histological Index (OHI) and Birefringence scale, recording microbial invasion, and general observations. The collected data were analyzed via simple descriptive statistics and paired samples t-tests. Treated remains scored higher on the OHI and for Birefringence, indicating that bone quality was good to excellent. The untreated samples scored lower on the OHI and Birefringence scales suggesting poorer preservation than the treated remains. Histology results were supported by the isotope sample preparation results: the collagen % yield was higher for treated bone than untreated bone. Additionally, chemical preservation had no meaningful impact on isotope δ values of treated and untreated remains from the same element or pair-matched elements. Overall, treated remains exhibited good preservation while untreated remains exhibit poorer preservation with significant microfocal destruction to the extent that little histological analyses can be applied. Stable isotope ratio analysis is viable for both treated and untreated remains indicating this testing modality likely can be used for most treated remains, regardless of origin

Spatial Density Dependence Scales up but Does Not Produce Temporal Density Dependence in a Reef Fish

Field experiments provide rigorous tests of ecological hypotheses but are typically of short duration and use small spatial replicates. We assessed empirically whether the results of experiments testing for density dependence applied at larger spatial domains and explained temporal population dynamics. We studied a small coral reef fish, the goldspot goby {Gnatholepis thompsoni), in the Bahamas. We assessed the effects of interactions with conspecifics and with an ecologically similar species, the bridled goby {Coryphopterus glaucofraenum). Two density manipulations on small reef patches revealed that goldspot goby mortality over one month increased as conspecifics became crowded. On five large natural reefs, we correlated the initial year-class density of both species (annual larval settlement) with the subsequent decline of goldspot goby year-classes for five years. Mortality was correlated with conspecific density among reefs for all years, but not among years for all reefs. Thus, spatial density dependence in mortality scaled up qualitatively from small patches to entire reefs but was not associated with temporal density dependence. Our results support the conclusion that field experiments may be extrapolated to larger spatial domains with care, but that using small spatial comparisons to predict temporal responses is difficult without knowing the underlying biological mechanisms

Forensic investigation of falsified antimalarials using isotope ratio mass spectrometry: a pilot investigation

We explored whether isotope ratio mass spectrometry (IRMS) is useful to investigate the origin of falsified antimalarials. Forty-four falsified and genuine antimalarial samples (artesunate, artemether-lumefantrine, dihydroartemisinin-piperaquine and sulphamethopyrazine-pyrimethamine) were analyzed in bulk for carbon (C), nitrogen (N), and oxygen (O) element concentrations and stable isotope ratios. The insoluble fraction (“starch”) was extracted from 26 samples and analyzed. Samples of known geographical origin maize, a common source of excipient starch, were used to produce a comparison dataset to predict starch source. In both an initial (n = 18) and a follow-on set of samples that contained/claimed to contain artesunate/artemether (n = 26), falsified antimalarials had a range of C concentrations less than genuine comparator antimalarials and δ13C values higher than genuine comparators. The δ13C values of falsified antimalarials suggested that C4 plant-based organic material (e.g., starch derived from maize) had been included. Using the known-origin maize samples, predictions for growth water δ18O values for the extracted “starch” ranged from − 6.10 to − 1.62‰. These findings suggest that IRMS may be a useful tool for profiling falsified antimalarials. We found that C4 ingredients were exclusively used in falsified antimalarials versus genuine antimalarials, and that it may be possible to predict potential growth water δ18O values for the starch present in falsified antimalarials

Fluctuation induces evolutionary branching in a modeled microbial ecosystem

The impact of environmental fluctuation on species diversity is studied with a model of the evolutionary ecology of microorganisms. We show that environmental fluctuation induces evolutionary branching and assures the consequential coexistence of multiple species. Pairwise invasibility analysis is applied to illustrate the speciation process. We also discuss how fluctuation affects species diversity.Comment: 4 pages, 4 figures. Submitted to Physical Review Letter

Spatial complementarity and the coexistence of species

Coexistence of apparently similar species remains an enduring paradox in ecology. Spatial structure has been predicted to enable coexistence even when population-level models predict competitive exclusion if it causes each species to limit its own population more than that of its competitor. Nevertheless, existing hypotheses conflict with regard to whether clustering favours or precludes coexistence. The spatial segregation hypothesis predicts that in clustered populations the frequency of intra-specific interactions will be increased, causing each species to be self-limiting. Alternatively, individuals of the same species might compete over greater distances, known as heteromyopia, breaking down clusters and opening space for a second species to invade. In this study we create an individual-based model in homogeneous two-dimensional space for two putative sessile species differing only in their demographic rates and the range and strength of their competitive interactions. We fully characterise the parameter space within which coexistence occurs beyond population-level predictions, thereby revealing a region of coexistence generated by a previously-unrecognised process which we term the triadic mechanism. Here coexistence occurs due to the ability of a second generation of offspring of the rarer species to escape competition from their ancestors. We diagnose the conditions under which each of three spatial coexistence mechanisms operates and their characteristic spatial signatures. Deriving insights from a novel metric — ecological pressure — we demonstrate that coexistence is not solely determined by features of the numerically-dominant species. This results in a common framework for predicting, given any pair of species and knowledge of the relevant parameters, whether they will coexist, the mechanism by which they will do so, and the resultant spatial pattern of the community. Spatial coexistence arises from complementary combinations of traits in each species rather than solely through self-limitation

Metapopulation dynamics on the brink of extinction

We analyse metapopulation dynamics in terms of an individual-based, stochastic model of a finite metapopulation. We suggest a new approach, using the number of patches in the population as a large parameter. This approach does not require that the number of individuals per patch is large, neither is it necessary to assume a time-scale separation between local population dynamics and migration. Our approach makes it possible to accurately describe the dynamics of metapopulations consisting of many small patches. We focus on metapopulations on the brink of extinction. We estimate the time to extinction and describe the most likely path to extinction. We find that the logarithm of the time to extinction is proportional to the product of two vectors, a vector characterising the distribution of patch population sizes in the quasi-steady state, and a vector -- related to Fisher's reproduction vector -- that quantifies the sensitivity of the quasi-steady state distribution to demographic fluctuations. We compare our analytical results to stochastic simulations of the model, and discuss the range of validity of the analytical expressions. By identifying fast and slow degrees of freedom in the metapopulation dynamics, we show that the dynamics of large metapopulations close to extinction is approximately described by a deterministic equation originally proposed by Levins (1969). We were able to compute the rates in Levins' equation in terms of the parameters of our stochastic, individual-based model. It turns out, however, that the interpretation of the dynamical variable depends strongly on the intrinsic growth rate and carrying capacity of the patches. Only when the growth rate and the carrying capacity are large does the slow variable correspond to the number of patches, as envisaged by Levins. Last but not least, we discuss how our findings relate to other, widely used metapopulation models.Comment: Revised version, as published. 66 pages, 15 figures, 1 tabl